La productivité des entreprises et leur réaction aux changements de l’environnement commercial sont fort variées. Bien connues des chercheurs et des décideurs, ces différences font depuis peu l’objet d’une analyse plus rigoureuse. Cette analyse reposant toutefois sur des modèles économiques complexes, elle est généralement peu comprise dans les milieux non spécialisés. Beverly Lapham (professeure d’économie à l’Université Queen’s) propose dans ce chapitre une description plus accessible de l’évolution récente de ces modèles théoriques et en examine certaines répercussions politiques.
Elle décrit notamment l’important modèle de Marc Melitz, qui met l’accent sur l’hétérogénéité et les décisions des entreprises. Ce modèle, selon lequel l’accroissement des échanges stimule la productivité, n’a rien de nouveau. Mais il en démontre de façon inédite le mécanisme : les réactions différentes aux politiques commerciales entraînent le transfert des ressources économiques vers des entreprises à forte productivité. Cette prédiction du modèle ainsi que plusieurs autres s’appuient sur de solides données empiriques, qui indiquent notamment que les entreprises exportatrices sont plus grandes et plus productives que les non-exportateurs.
Beverly Lapham examine aussi quelques prolongements récents du modèle de Melitz, centrés sur les points suivants : productivité accrue des entreprises qui combinent importations et exportations ; incidence du commerce sur le marché du travail et accentuation potentielle de l’inégalité salariales ; renforcement des liens entre commerce et innovation ; rôle éventuel du commerce dans la réduction des marges sur les prix de vente par rapport aux coûts de production.
Bien que ces avancées théoriques offrent aux gouvernements l’occasion d’améliorer la performance économique, seule une nouvelle approche leur permettra d’en tirer profit. Cette approche devrait notamment considérer de manière plus globale l’effet des politiques commerciales sur les négociants et les flux d’échanges potentiels (et non seulement existants), de même que l’incidence distributive du commerce sur les entreprises et les salariés. Il serait aussi utile de faire réduire les coûts fixes liés à la participation aux marchés internationaux et de faciliter les importations comme les exportations. Cette réorientation nécessiterait toutefois de mieux coordonner les politiques traditionnelles (ayant trait, par exemple, aux négociations tarifaires et commerciales) et les nouvelles initiatives, entre autres en matière de productivité, d’innovation, d’investissement et de politique industrielle. Il faudrait également faire valoir auprès du public les gains de productivité découlant du commerce. Enfin, puisque toute réorientation nécessite de nouveaux outils, il serait essentiel d’utiliser plus largement les données des entreprises pour mesurer ce qui les différencie, et d’appuyer toute décision en matière de politique sur des modèles commerciaux d’entreprise qui traduisent les caractéristiques clés de l’économie canadienne.
Beverly Lapham has been a professor in the Department of Economics at Queen’s University since 1989. Her research fields include international trade, international macroeconomics, industrial organization and macroeconomics. She is particularly interested in exchange rate pass-through, the impact of international price differences, business cycles, retail industry adjustments and the productivity effects of international trade. She has been a co-editor of the Canadian Journal of Economics and an associate editor of the Journal of International Economics. She is a research associate at the Centre for International Price Research and has been a member of Statistics Canada’s International Trade Advisory Committee.
Redesigning Canadian Trade Policies for New Global Realities, edited by Stephen Tapp, Ari Van Assche and Robert Wolfe, will be the sixth volume of The Art of the State. Thirty leading academics, government researchers, practitioners and stakeholders, from Canada and abroad, analyze how changes in global commerce, technology, and economic and geopolitical power are affecting Canada and its policy.
Over the past decade, cutting-edge research on international trade has increasingly adopted a firm-level approach. This new perspective has opened up a wide range of issues in empirical trade, trade theory and trade policy. This chapter focuses on developments in theoretical trade models. It describes the seminal approach by Melitz (2003) and reviews some of the vast subsequent research that emphasizes firm-level decisions and differences (or heterogeneity) across firms.
Researchers and policy-makers have long recognized that firms respond differently to changes in the trading environment, and that these differences matter. However, formal analysis of those varied responses and their impacts has only been conducted in the last decade or so, using intricate economic models. As a result of the modelling complexities, new ideas about how trade affects firms, workers and the broader economy are generally not well understood by nonspecialists. This is unfortunate, not only because this research is important and interesting, but also because understanding how these models operate provides a valuable perspective for those considering the impact of trade policies and comparing alternative trade policy options.
Early research on firm-level trade in the mid-1990s revealed vast differences between firms in both exporting behaviour and productivity – and as a result of subsequent work, we now better appreciate the intimate links between these two observations. Important differences among firms have also been documented in wage rates, the use of imported inputs and the extent of involvement in global value chains, among other factors. These differences can have significant impacts on firms’ success in global and domestic markets, and on how changes in trade policy impact firm-level production decisions. This new research suggests that the effects of trade policies may ultimately be harder to pin down and predict in a world where firms vary in their responses across the wide set of business decisions they face. But at the same time, the rapid rise in global trade and the increased integration of the global economy has put a premium on improving our understanding of what affects firm behaviour and performance through theoretical and empirical analysis. By making progress on these fronts, the recent firm-level emphasis on international trade research will offer a lasting contribution.
The theories described in this chapter suggest a strong re-enforcing relationship between international trade and productivity that is now well supported by the empirical evidence. For example, Baldwin and Yan (“Trade and Productivity,” in this volume) summarize findings from firm-level data for Canada and demonstrate that access to foreign markets has been associated with substantial productivity gains in Canadian manufacturing. Their results are highly consistent with recent developments in trade theory and establish that this association generally applies to the Canadian economy. This chapter contends that applying these theories can inform and ultimately improve the design of Canadian trade and productivity policies.
My objectives are to describe how modern trade models work for nonspecialist readers, present some key results and recent extensions, and discuss some new policy implications that arise from these models. To preview the latter, this work suggests that policy-makers give more consideration to the impacts of trade-related policies on potential trade; reduce fixed trade costs; communicate the productivity enhancements from trade; facilitate imports as well as exports; and better analyze the distributional impacts of trade. To effectively address these important issues, trade analysts need access to firm-level data to better understand and quantify firm-level differences in the Canadian economy, all with a view to informing Canadian trade policy deliberations and decisions.
The chapter is organized as follows: to provide a broader context for evaluating recent developments in the literature, in the next section I briefly describe the evolution of trade theory. I then outline the seminal model by Melitz (2003) that incorporates heterogeneous firms into a trading environment. I discuss other theoretical studies and more recent developments in this literature, as well as some general policy implications.
Theoretical approaches to trade theory can be classified into three broad groups, from oldest to newest: country-based, industry-based and firm-based. I summarize some of the main elements of each group in table 1.
Theories in the country-based group are often called traditional models of trade, built upon the research of Ricardo (1817), Heckscher (1919), Ohlin (1933), Samuelson (1939) and Vanek (1968). These models emphasize differences between countries as the primary driving force behind international trade. In them, trade liberalization increases societal welfare by reallocating resources toward a country’s industries of comparative advantage and away from its industries of comparative disadvantage. In this approach, the winners and losers of increased international trade are primarily determined by factor ownership patterns. For example, if there were no income transfers across factor owners, this theory predicts that in a relatively capital-abundant and labour-scarce country, such as Canada, capital owners would benefit from increased trade while labour would lose.
The industry-based group includes models initially referred to as new trade theory.1 Increasing returns to scale in production (whereby doubling inputs more than doubles outputs) at the firm level and differentiated products are typical in these models, and in fact are the main reasons for international trade. In these models, trade liberalization raises aggregate welfare by increasing the firm-level scale of production, which lowers industry average cost; increasing the variety of products available to consumers; and possibly lowering markups of price over marginal cost. Because these models generally assume that consumers are identical, they effectively exclude changes in the trading environment from affecting the income distribution.
The most recent developments in international trade theory are in the firm-based group – a subset of which is the focus of this chapter. These models emphasize the importance of gaining a better understanding of productivity differences across firms and thus a deeper comprehension of the effects of changes in the trading environment. Much of the research in this group follows on the work of Melitz (2003) and includes increasing returns to scale and product differentiation (the same forces behind trade as in the earlier industry-based group). However, because different firms have different technologies in these models, trade liberalization further lowers industry average cost, as increased trade causes the most productive firms to expand and the least productive firms to exit. These models are well suited to analyzing the distributional effects of trade across firms within the same industry, as well as potential distributional impacts across consumers in their role as shareholders.2
The seminal model of firm heterogeneity and international trade was formalized by Melitz (2003).3 Before discussing this model in detail, it will help to take a step back and explain the basic intuition for the new mechanisms that it proposes. When a closed economy opens to trade, there are opposing effects on producers. Businesses can sell abroad to a larger market (which can raise profits), but they also face stiffer competition and higher real wages at home (which can reduce profits). The same pressures arise in the older, industry-based trade models, but because those models consider firms to be homogenous, they all react in the same way to these changes. Melitz’s approach is novel because he allows firms to differ in their productivity. Because of this change, firms can respond differently to policy shocks. For the most productive firms, the positive effect tends to dominate: they produce more and become more profitable. Conversely, for the least productive firms, the negative effect dominates: their profits get squeezed, causing some firms to produce less and some firms to exit the industry altogether. These opposing reactions within the industry shift the economy’s resources from relatively low- to high-productivity firms. This increases overall productivity and welfare. Thus, the different firm-level responses within particular industries have significant implications for the effects of trade on prices, outputs, productivity and welfare, and firm heterogeneity therefore provides predictions that are different from those of earlier, country-based or industry-based trade models.
Consider a simplified version of the Melitz model with two countries. Each country has the same industry – think of it as the automobile industry – producing different car varieties that are internationally tradable. The many individuals living in each country play multiple roles in the model economy. They are workers who own labour (the only factor of production), and they earn labour income by working in their country’s auto industry. They are also shareholders in car-producing firms in their country, so they receive a share of the firms’ profits as income. Finally, they are consumers who spend their incomes to buy cars. In the basic model, all individuals are the same. As a result, they all work the same amount, own equal shares of all firms, and buy the same number of cars. Consumers’ welfare increases when they buy more of a particular type of car and when they buy different cars (consumers desire variety). The model assumes that consumers have demand functions for each type of car characterized by a (constant) price elasticity of demand (which is the same across all car varieties and is independent of the level of consumption).
In each country, there are many firms in the auto industry, and no two firms produce exactly the same car. An entrepreneur who wants to enter the auto industry must hire some labour to obtain a production technology. The exact technology the entrepreneur will receive is uncertain, but the properties of the distribution of possible technologies are known. After receiving a technology, the entrepreneur decides whether to produce (at which point the entrepreneur technically becomes a firm) or not (if producing with this technology is unprofitable). The labour costs to obtain a technology are known as the fixed cost of entry and are the same for all entrepreneurs.
Firms must hire a constant amount of labour to establish themselves – this fixed cost of production is the same for all firms. To produce cars, each firm uses some labour, the amount of which varies across firms. This constant marginal cost of production differs across firms, and is the uncertain component for the entrepreneur before entry. A firm’s average cost falls as it produces more (due to the fixed cost of production), and the average cost varies across firms due to differences in their production level and differences in their marginal cost of producing. Firms that require a relatively high amount of labour to produce each car are called low-productivity (or high-cost) firms; producers that need low labour inputs are called high-productivity (or low-cost) firms. Thus, the auto industry in each country has firms that differ in the types of car they produce, their average and marginal production costs, and how many cars they produce.
Cars can be sold in the domestic market and the firm’s export market. There is no cost to selling in the domestic market, but there are trade costs for exporting, which also involve a fixed and a variable component. The fixed export costs can be thought of as the need to research foreign market conditions or conform to different product standards. Shipping costs and tariffs are examples of variable export costs. Variable export costs are modelled as a fraction of output that is “lost” when transporting the good to the export market (for example, two cars must be shipped to the other country for one car to arrive for sale). All firms face the same exporting costs in each export market.
Firms selling in the domestic market offer a unique variety of car (say a Ford Focus), but face competition with closely substitutable cars – from other domestic cars (Chevrolet Cruze) and from imported cars (Volkswagen Golf). The two markets are segmented, and the firm competes separately in each market. Also, because each firm has a monopoly with its particular car but faces competition from other car varieties, the market structure is monopolistically competitive – firms are not price-takers, but instead choose their price in each market to maximize profit.
In the model’s equilibrium, world demand equals supply for each car variety, demand equals supply for labour within each country, and aggregate variables (for example, output, wage income, profits) are unchanged over time.4 As is typical in these models, individuals make optimal labour and consumption decisions to maximize their welfare. The model focuses largely on firms’ decisions relating to production, pricing and exporting. These are also made optimally to maximize profits.
First, consider a nonexporter, who sells only in the domestic market. This firm will maximize profits by choosing a price that equates its marginal revenue and marginal cost. The result is a price above marginal cost, and the markup (of price over marginal cost) depends on the price elasticity of demand in the domestic market. Since consumers have a constant elasticity of demand, which is the same for all varieties, all firms have the same markup. This means that firms with higher marginal costs of production set higher prices, and they will have lower domestic-market sales and profits than will firms with lower marginal costs of production.
Exporters sell in both the domestic and export markets. In the domestic market, the exporting firm uses the pricing strategy described above. The firm chooses the same markup in both markets (because demand conditions are identical), but the marginal cost of selling to the export market is higher because of the additional variable trade costs of exporting. An exporting firm therefore charges a higher price in the export market, and the ratio of the firm’s prices across the export and domestic markets depends only on the variable trade cost. In export markets, as in the domestic market, higher-cost firms charge higher prices and have lower sales and profits than lower-cost firms.
Returning to the production decision, after receiving a technology, the entrepreneur will only produce if it is efficient enough to generate (nonnegative) profits in equilibrium.5 As implied by the discussion above, firms’ profits decrease with their marginal costs. A key equilibrium property of the model is the existence of a cut-off level of marginal cost for operation, below which an entrepreneur earns profits. Entrepreneurs with relatively poor technologies (with a marginal cost above the cut-off) do not start firms, while entrepreneurs with relatively good technologies do (as they have a marginal cost below the cut-off). Thus, the economy as a whole has an equilibrium cut-off productivity level for operation (denoted cpo in figure 1), such that all firms that choose to produce are at least as productive as the cpo.
Firms export only if they can earn profits in the foreign market, taking into account the exporting costs. By the same logic as for the domestic market, there is an equilibrium cut-off productivity level for exporting (denoted cpe in figure 1), such that all exporting firms are this productive or more so. Also, note that the profit function becomes steeper at cpe, reflecting the increased total profits when exporters start accessing the larger market.
If the fixed and variable costs of exporting are significant, the cut-off productivity for exporters is higher than the cut-off productivity for domestic operations (cpe > cpo). One way to think of this is that only the more productive firms have sufficient profits to cover the fixed costs of exporting. Therefore, in the model’s economy, the less productive firms (those between cpo and cpe) only sell domestically. The most productive firms sell both domestically and internationally (cpe and beyond). A crucial part of the analysis is thus the question of what happens to these two equilibrium cut-off productivity levels after a trade liberalization.
To summarize, the model’s key prediction is that within a given industry, higher-productivity firms will export. Because these exporting firms have lower marginal costs than nonexporters, they set lower prices and have higher sales in their domestic market. Moreover, exporters have higher output and employment than nonexporters. This model, therefore, makes a one-way causal prediction running from a firm’s productivity to its export status: only the most productive firms export. In this literature, this is sometimes called a self-selection model of exporting. Note that in this baseline model, exporting by itself does not increase a firm’s productivity.6
The effects of more liberal trade policies can be studied by decreasing the variable and/or fixed costs of exporting.
First, consider a fall in the variable trade cost – this could represent lower international transportation costs for shipping cars or decreasing tariffs on importing cars (where, for simplicity, I assume the same policy is adopted in both markets).7 This change lowers the marginal cost for firms to sell in the export market. Since markups are unchanged, this lowers export prices and increases firms’ sales and profits from the export market.8 This is shown in figure 2 as a leftward shift in the curve that depicts profits from the export market as a function of firm productivity. In the figure, this lowers the cut-off productivity for exporting from cpe to cpe’ and prompts the entry of new exporters. The firm-level output and profit changes are intensive margin adjustments to trade liberalization, while the entry of new exporters is an extensive margin response (see box 1). Also note that to increase production, exporters demand more labour, which puts upward pressure on the real wage.
The fall in variable trade costs also symmetrically decreases the relative price of imports. This has two effects. First, it lowers consumer prices in each country. Second, it increases the relative demand for imports in each country, which decreases market share and production for nonexporters. As a result, all firms suffer lower sales in their domestic market. Combining this with the higher real wage described above, profits from domestic sales fall for all firms. This is shown in figure 2 as a rightward shift in the curve that depicts profits from the domestic market as a function of firm productivity. Hence, the firms with the lowest productivities exit and the productivity cut-off level of the least productive firm in the industry increases from cpo to cpo’. Thus, trade liberalization generates an additional intensive margin response as output by nonexporters falls, and another extensive margin response as some firms exit.
The relationships between firm productivity and profits before and after trade liberalization are summarized in figure 3. The solid curve shows profits before the reduction in variable trade costs; the dashed curve depicts profits afterward. Businesses can be placed into five groups according to the effect of the trade liberalization on their profits and export status. From lowest to highest productivity, these are:
Group 1: Nonexporters who exit and lose profits
Group 2: Nonexporters who remain nonexporters and lose profits
Group 3: Nonexporters who become exporters and lose profits
Group 4: Nonexporters who become exporters and gain profits
Group 5: Exporters who remain exporters and gain profits9
This result highlights the distributional effects of trade liberalization that occur across firms within an industry, and which were generally absent in earlier trade models with homogeneous firms. Importantly, the contraction and exit of firms with relatively low productivity and the expansion of firms with relatively high productivity increases the overall productivity in the industry. This is sometimes called the selection effect of trade liberalization.
Trade liberalization increases welfare in this model. Individuals benefit from lower prices, higher real wages and increased purchasing power.10 Because of free entry, aggregate profits before and after the trade liberalization are zero. Therefore, when individuals are identical, with equal shareholdings across individuals, a decrease in variable trade costs has no effect on their income as shareholders (dividends), so there are no welfare effects through this channel. This changes when holdings of firm shares differ among individuals: those who only held shares in low-productivity firms that exited after the trade liberalization would see their dividend income fall. In general, because of the differential effects on firms’ profits, a fall in variable trade cost redistributes dividend income from individuals who hold shares in relatively low-productivity firms to those who hold shares in relatively high-productivity firms. Thus, in this model, trade liberalization can have distributional effects across individuals according to their prior shareholdings. (These distributional effects across shareholders within the same industry contrast with older models of trade where distributional effects tend to occur across industries.)
At the national level, trade liberalization brings aggregate welfare gains. If individuals are identical this follows from the fact they all have higher real incomes after liberalization. The analysis is more complicated when individuals’ shareholdings differ. In that case, the total gains to individuals who are better off after the liberalization exceed the total losses to individuals who suffer reduced dividend income. Within this model, the government could in principle design taxes and transfers to ensure that no individual is worse off after trade liberalization. In reality, this is considerably harder. Finally, since this simple model has identical countries, trade liberalization raises global welfare.
Trade liberalization that results from lowering the fixed costs of exporting has similar impacts to a fall in variable trade costs, but the mechanisms are slightly different. For instance, lower fixed trade costs do not generate a rise in the output of incumbent exporters.11 However, the other basic mechanisms remain unchanged and the individual, national and global welfare impacts are qualitatively similar.
The predictions of the Melitz model are broadly consistent with evidence from firm-level data from various countries. For example, numerous studies document that only a fraction of firms export in a typical industry (though the frequency varies widely by country). Furthermore, among firms that engage in trade, exporters often export only a portion of their output. Baldwin and Yan (“Trade and Productivity,” in this -volume) document these facts for Canadian manufacturing firms. They estimate that, on average, over the period 1974 to 2010, 35 percent of Canadian manufacturing firms exported, and approximately 40 percent of those firms’ sales were exports.12
Empirical studies also consistently find that firms that export tend to be larger, more productive, more intensive of capital and skilled labour, and to pay higher wages than firms that do not participate in international markets.13 Baldwin and Yan also find that Canadian manufacturing exporting plants (which comprised only 35 percent of all manufacturing firms) accounted for more than 70 percent of manufacturing employment and were 13 percent more productive than nonexporters over 1974-2010. The baseline Melitz model is consistent with these positive correlations between a firm’s size and productivity and its export status.14
Finally, empirical studies of past trade liberalizations provide compelling evidence of firm-level, industry-level and aggregate productivity growth following policy reforms, primarily as a result of within-industry reallocations of resources and firm-level innovations rather than across-industry reallocations. Using Canadian plant-level manufacturing data, Baldwin and Gu (2004) and Baldwin and Yan (2012) document these effects in Canada for bilateral tariff reductions, while Trefler (2004) estimates the effects on these plants of the Canada-US Free Trade Agreement (FTA).15 For example, Baldwin and Gu (2004) show that within the Canadian manufacturing sector, reallocations across plants were responsible for more than half of the productivity growth in a majority of industries following the trade agreement. These findings are consistent with newer, firm-based trade models, but contrast with country-based models.
There is a vast literature that incorporates firm heterogeneity into trade models. It often builds on the Melitz framework.16
In the baseline Melitz model, the only international activity available to firms is exporting. Subsequent research has explored the implications of firm heterogeneity for other forms of international market participation that have become parts of today’s global commerce. For example, by incorporating imported intermediate inputs into the production of final goods, researchers can examine the role of firms as importers (of inputs) as well as exporters (of output).17 Many researchers have found that imported inputs raise firm productivity – typically because they are of higher quality than domestic inputs, or because of increasing returns to variety in production. This suggests a natural complementarity between importing and exporting behaviour at the firm level: firms that use imported inputs tend to be more productive, which in turn makes them more likely to be able to meet the fixed costs of exporting. Thus, a new prediction from these model extensions is that importing firms are more likely to be exporters, and that both importing and exporting tend to raise productivity.
Another set of international decisions that firms may face involves the location and organization of their production processes. For example, foreign direct investment by firms is explored in Helpman, Melitz and Yeaple (2004). Firms’ decisions to internationally outsource some part of their production process and the implications for global value chains have been a subject of considerable research.18
Product-level decision-making has also received attention (particularly as the availability of product-level data improves). Firms’ decisions regarding product quality, how many products to produce, and in which international markets to sell which products are examples of some issues explored.19
The movement of labour from contracting firms to expanding firms is an important response to trade liberalization in models of firm heterogeneity. In many models, that reallocation occurs in a frictionless labour market where all workers are paid the same wage. However, a growing literature is incorporating labour market frictions to examine the impact of trade liberalization on unemployment and wage inequality in the presence of firm heterogeneity. This research sheds new light on the impacts of changes in trade policy on individual workers, inequality, and aggregate employment and unemployment in microfounded models of labour and goods markets. This is especially important in light of trends observed in a large number of countries of rising wage and income inequality coinciding with increased trade.20
Some models incorporate labour market frictions using “efficiency wage” frameworks,21 while others use search and matching frictions.22 I will briefly discuss the class of models reviewed by Helpman, Itskhoki and Redding (2013) to illustrate the latter approach. In that framework, labour market search frictions generate unemployment and the productivity of workers is specific to a worker–firm match. Firms cannot directly observe individual workers’ productivities, but they can undertake costly evaluation of workers to obtain information about their productivity. The model predicts that more productive firms (exporters in the Melitz model) that have higher profits will undertake more evaluation, eliminate less productive workers and as a result have an even more productive workforce. It follows that workers in exporting firms will have higher average wages. Thus, the model generates wage inequality across workers within sectors as well as aggregate unemployment – making this a rich environment for exploring the impact of trade liberalization on labour market outcomes.
Here are three results of interest for our purposes. First, when a closed country opens for trade, revenues shift from low- to high-productivity and high-wage firms. This increases the dispersion of wages, and the model therefore predicts a positive correlation between income inequality and trade. Note that the country-based Heckscher-Ohlin model also predicts this for countries with an abundance of skilled labour, because resources reallocate across industries in response to increased trade. That model emphasizes changes in the relative wages of high- and low-skilled workers and hence a positive association between trade and wage inequality across worker groups (according to education, occupation and so on.) This offers an interesting contrast, since increased wage inequality in models with firm heterogeneity and search frictions arises from within-industry reallocations and implies a positive association between trade and inequality among people working in the same job or industry. The empirical evidence suggests that wage inequality in many countries arises both within and between different occupations and industries.23 Furthermore, some papers use theoretical models of trade that assume firm heterogeneity to provide empirical evidence based on firm-level data that increased trade significantly raises wage inequality within sectors and occupations.24
Second, the effect on unemployment of opening a closed economy to trade is ambiguous. On the one hand, trade shifts workers toward more productive firms, and this reduces the hiring rate in the labour market because these firms are more selective. This effect tends to increase the unemployment rate. On the other hand, depending on what happens to expected wage income, trade either increases or has no effect on the matching rate (i.e., how often firms and workers meet to conduct job interviews). This second effect either decreases or has no effect on the unemployment rate. Because of these potentially opposing effects, the net impact of trade on the unemployment rate is uncertain.
Finally, if a country with prohibitive trade barriers lowers those barriers slightly, its wage inequality will initially rise. However, as the country continues to lower trade barriers, wage inequality eventually falls. That is, a fall in trade costs reduces inequality when trade costs are low but raises inequality when trade costs are high. The difference arises because the increase in wages for the most productive firms resulting from lower trade costs only occurs when a subset of firms are exporters. The richness of these results clearly indicates the potential of this line of research to increase our understanding of the effects of increased trade on unemployment and wage inequality in developed economies.
Another relatively new area of research explores the links between firms’ participation in international markets and their innovation activities. Whereas in the Melitz model, a firm’s productivity is taken as given and affects its decision to export, this research also examines the opposite causal relationship: the increased profits accruing to firms that are active in international markets allow them to undertake costly innovation activities, in turn increasing their productivity. This new channel provides additional productivity and welfare gains from trade liberalization. For example, Atkeson and Burstein (2010) and Lileeva and Trefler (2010) analyze models with exporting and innovating firms. They demonstrate that – in addition to the increased output of exporting firms after trade liberalization – those firms also increase their innovation expenditures, which further enhances the positive productivity impact of increased trade. Some researchers are now studying environments in which firms anticipate increased profits from entering as exporters and undertake costly innovations that then allow them to export.
In Melitz (2003), all consumers’ demand functions have a constant elasticity of demand that is the same across all product varieties. This means that all varieties of the good sell at the same markup of price above marginal cost in all markets. Furthermore, because changes in the trading environment don’t change this demand elasticity, markups are unaffected by trade liberalization. This differs from some models in the earlier industry-based category, in which increased trade reduces markups – often called the procompetitive effects of trade. This is important for two reasons. If trade reduces firms’ market power and lowers markups, then this provides yet another channel for consumers to gain from trade. Second, empirical studies such as Tybout (2003) provide evidence of these procompetitive effects after trade liberalization episodes.
The model developed by Melitz and Ottaviano (2008) is an important contribution to this literature. It incorporates variable markups and analyzes how differences in market size modify the impact of trade liberalization. The basic framework of this model has been used extensively, so I shall just describe the main innovations of the model and its results.
This model has an industry in each country, as in Melitz (2003).25 Now, however, as an individual consumes more, he becomes less price-sensitive, so his elasticity of demand falls with his level of consumption. As in Melitz, firms with lower cost levels set lower prices and have higher demand – but unlike Melitz, because lower-cost firms face less elastic demand, they choose higher markups. This implies that economies that have more consumers and more demand (such as the US) will be more competitive and will have lower average prices, higher average productivity and more firms than smaller markets like Canada. Multilateral trade liberalization will have similar positive productivity effects to these, but in addition, average markups will fall as exporting firms reach larger markets, and this will benefit consumers.
Melitz and Ottaviano (2008) extend this basic picture of firms choosing various markups to include multiple countries that differ in size and trade costs (modelled as barriers to imports). They examine the impact of various forms of trade liberalization in the short run with no firm entry and in the long run with equilibrium levels of firm entry, demonstrating that if a country undertakes unilateral trade liberalization by decreasing the costs of selling in its market, its consumers gain from higher productivity, lower markups and more varieties for consumption in the short run, while the trading partner is unaffected. However, in the long run (after extensive margin effects such as firm entry are included), the liberalizing country actually has fewer firms and lower average productivity than before the liberalization, while its trading partners experience the opposite. Thus, in the long run, a unilaterally liberalizing country experiences aggregate welfare losses while its trading partners make welfare gains. This is an interesting result that suggests short-run gains from unilateral trade liberalization can be undone by longer-run patterns of firm entry. Several papers extend Melitz and Ottaviano (2008) or develop other models with nonconstant markups to analyze a wide range of issues caused by increased trade competition, the elimination of less productive firms and lower markups.26
Some papers incorporate firm heterogeneity into traditional models of trade, which are based on cross-country differences and comparative advantage. These build upon the influential paper by Eaton and Kortum (2002), which develops and estimates a Ricardian model of trade (with constant returns in production and perfect competition) that considers geographical barriers.27 Their framework is particularly useful for deriving sophisticated, gravity-style equations that relate bilateral trade volumes between countries to countries’ characteristics (such as the size of countries’ economies and the distance between countries). These equations can be estimated using industry- and country-level data to better understand the determinants of trade flows and quantify trade impacts. For example, guided by their theory, Eaton and Kortum (2002) estimate that Canada would experience aggregate welfare gains between 0.5 and 1.1 percent if the US were to unilaterally remove tariffs, and a welfare gain of nearly 2 percent if the volume of world trade were to double. Several authors extend the Eaton and Kortum (2002) environment and have provided important quantitative analysis of the impact of changes in the trading environment for a broad set of countries.28 A novel insight of this research is that gravity equations of trade flows should include measures of firm or industry heterogeneity.
Another area of research examines comparative advantage considerations in models with firm heterogeneity and imperfect competition. These models highlight the effects of trade liberalization on resource reallocation within industries (as highlighted in firm-based models) alongside reallocations across industries (as highlighted in country-based models of traditional comparative advantage). The papers by Bernard, Eaton, Jensen and Kortum (2003) and Bernard, Redding and Schott (2007) are important examples.
In Bernard, Eaton, Jensen and Kortum (2003), there are many sectors characterized by imperfect competition and each has firms with different productivity levels. There are also cross-country differences in technologies in each sector, capturing Ricardian-style comparative advantage motivations for trade. Importantly, there are variable trade costs that allow for market segmentation and limit firms’ abilities to export. As in the Melitz model, trade liberalization has selection effects as low-productivity firms exit and high-productivity exporters expand, leading to aggregate productivity gains. However, unlike Melitz, this model also generates reallocations across industries and highlights intensive and extensive margin responses to changes in the trading environment. An important contribution of the paper is to use US plant-level data to quantify these effects.
While that paper incorporates firm heterogeneity into a classical model of trade, Bernard, Redding and Schott (2007) do so in a neoclassical factor-proportions model of trade. Their model has skilled and unskilled labour, two industries that differ in their labour intensities and two countries that differ in their supplies of two types of labour. Each industry produces differentiated varieties of a final good (such as shoes and automobiles) with increasing returns to scale, imperfect competition and firms with different levels of productivity. Consumers earn income from supplying the two types of labour and desire variety. There are fixed and variable costs of exporting.
In this model, trade liberalization that decreases trade costs shifts both types of labour within as well as across industries. The within-industry effects identified above in the baseline model are present in both sectors. However, the cut-off productivity level for operation increases more in the industry of comparative advantage, so average productivity rises more in that sector than in the sector of comparative disadvantage. In addition, average firm size rises in the comparative advantage sector and labour moves into that sector from the sector of comparative disadvantage, further enhancing welfare gains from trade liberalization with economies of scale and more efficiently allocated resources. At the individual level, the traditional redistribution of income from the abundant factor to the scarce factor in a country takes place. However, the additional gains in productivity arising from firm heterogeneity may cause trade liberalization to increase the wages of both types of labour. This is an important contribution to the firm-based trade model with intra- and interindustry trade, providing new insights into the productivity effects and complex distributional effects of increased trade.
The gravity approach to trade literature often focuses on estimating the magnitude of the impact of trade costs on trade volumes – the so-called trade elasticity.29 As another avenue for both theoretical and empirical research, the emphasis on significant fixed costs of trade in modern models of trade opens up interesting issues about the link between firm credit and finance and participation in international markets, since firms may need to borrow to cover these start-up costs.30
There also is a growing literature that incorporates firm-level dynamics into trade models with firm heterogeneity, either by including changes to firms’ productivity and exploring the dynamic responses,31 or by examining models where firms obtain more information about international markets as they participate in those markets.32
Another area of research explores the implications of these new models for measures of the welfare effects of trade liberalization. Papers by Arkolakis, Costinot and RodrÃguez-Clare (2012), Atkeson and Burstein (2010), and others argue that many of the models that incorporate firm heterogeneity, including Melitz, do not have new implications for the aggregate welfare gains from trade liberalization. However, as Melitz and Redding (2014) point out, the proposition that aggregate measures are sufficient for quantifying the overall welfare effects of trade liberalization holds only under fairly strong conditions. Indeed, other papers, such as those of Felbermayr, Jung and Larch (2013) and Ossa (2012), explore environments where this is not the case. Furthermore, even when this aggregate result holds, more recent models with heterogeneous firms have implications for the effects of trade liberalization on individual firms and on the shareholders of those firms. More work is needed to estimate the welfare effects of trade liberalization using firm-, industry- and country-level data sources.
Empirical studies document that only a fraction of firms export in a typical industry and exporters often export only a small portion of their output. Similar results have been documented for firms’ importing of intermediates.33 Furthermore, exporters, firms that use imported inputs and firms that engage in foreign direct investment all tend to be larger, more productive and relatively more intensive of capital and skilled labour, and to pay higher wages than firms that do not participate in international markets. These facts are consistent with predictions from models already outlined in this section.
As predicted by models of innovating firms described in the subsection above on trade and innovation, firms that enter export markets tend to grow faster than nonexporters.34 Baldwin and Gu (2003), for example, estimate that among Canadian manufacturing plants, entrants to export markets exhibited average annual growth rates that were over 4 percentage points above those of nonentrants. Empirical research also suggests that firms’ technology adoption choices are linked to their decisions regarding participation in trading activities.35 The evidence on this for Canada is summarized by Baldwin and Yan (“Trade and Productivity,” in this volume), who show that trade liberalization has fostered learning by Canadian manufacturing exporters and that access to larger markets has raised the productivity of those firms by forcing them to become more competitive and by providing more innovation and investment opportunities.
Firms’ and industries’ international activities exhibit considerable dynamics and volatility over time. That is, the magnitude of the existing trade flows of incumbent firms fluctuates, and industries exhibit significant firm entry and exit in export and domestic markets as well as changes in the composition and destination of exported products. Such dynamic adjustments are addressed in models that focus on firm and industry dynamics.36
This rich new class of models emphasizing firm-level decisions and firm heterogeneity shows that trade policy impacts a wide range of business decisions including entry and exit, how production is organized and innovation expenditures, among several others. Through these varied decisions and channels, trade policy affects broader outcomes, such as firm, industry and aggregate variables for productivity; product variety; markups of price over cost; unemployment; and wage inequality. The important policy implications that arise from these models (summarized in box 2) can be classified into three categories: policy considerations (i.e., where to look and act); the need for new policy tools (how to better assess the impacts of trade policies); and policy cautions or potential pitfalls (what not to do).37 The remainder of this section looks at each category in detail. For more on these issues, see Ciuriak, Lapham and Wolfe (2015).
Firm-based trade theory and empirical studies stress the important role of extensive margin adjustments to trade policy. In response to trade liberalization, firms enter and exit international markets, alter which products they sell abroad and where they sell them, and vary which goods and services they import. These models and a body of empirical evidence suggest that responses along these extensive margins are a significant contributor to aggregate productivity growth. This means that to properly evaluate the full economic gains from trade policy changes, governments and trade negotiators must look beyond the expansion of existing trade flows. They need to consider the potential expansion of imports and exports of goods and services that previously were not sold internationally, diversification into new markets, the entry of firms into importing and exporting, and changes in the international components of firms’ production structures.
Moreover, if the extensive margin is the primary source of productivity gains from trade liberalization,38 then it may make sense to focus negotiating resources on firms and markets where access is currently limited. This may provide larger returns than making marginal improvements in existing markets.
The notion that variable trade costs, such as transportation costs and tariffs, reduce trade flows has been discussed for a long time in the trade literature. However, a key contribution of the more recent research described above is its focus on the importance of fixed and sunk costs associated with simply entering and staying in an international market. These fixed trade costs can significantly limit firms’ access to foreign markets (and the resulting productivity benefits), which implies that governments should focus on lowering obstacles that restrict market access for firms.
While there are various contributors to these fixed costs – including the need to acquire market-specific information and other frictions – addressing international regulatory differences is perhaps the most important component for policy-makers to address (particularly for firms engaged in global value chains). One concrete government action to lower the fixed costs of entry into trade is to make it easier for firms to understand and conform to the regulations that govern new products and services in new markets. Compatible and transparent regulation along the production chain is essential. For more on potential policy approaches in this area, see Hoekman (in this volume).
Firm size also takes on increased importance in the presence of large, up-front sunk and fixed trade costs. Larger, more productive firms are generally more able to cover the costs of adapting to relevant product- and market-specific standards – and they may even participate in the development of those standards. Smaller firms, on the other hand, are inherently standard-takers and often face significant adjustment costs when standards change in foreign markets. This is an important consideration for policies that focus on the role of small and medium enterprises (SMEs) in international markets, such as Canada’s target to increase exporting by Canadian SMEs to emerging markets. For evidence and related policy recommendations on this issue, see Sui and Tapp (in this volume).
Trade models that incorporate firm heterogeneity emphasize the complex relationship between trade and productivity. At the firm level, higher-productivity firms trade more, and trade can lead to increased innovation, making firms more productive. At the industry level, increased trade leads to resource reallocations within industries away from the smallest, least productive firms and toward the largest, most productive firms, increasing industry productivity. At the country level, these effects generate new sources of aggregate productivity gains, resulting from increased trade (in addition to traditional gains from more efficient resource allocation across industries due to comparative advantage and higher scales of production). Understanding these additional productivity-enhancing effects of trade and promoting them to the general public may make it easier to gather support for trade liberalization initiatives from economic players, key stakeholders and governments concerned with productivity growth.
Incorporating firm-level dynamics into trade theory emphasizes the role of ongoing investment and innovation and the effects of those decisions on firm-level productivity and the ability of firms to participate effectively in international markets. Many of these models take account of the ongoing need for firms to invest in new technologies, products and markets in environments with considerable uncertainty. For firms, the outcomes of these investments can make the difference between a sustained or expanded presence in international markets and exit. The logical consequence of this realization is that firm-level innovation outcomes can alter the patterns of trade for countries, which in turn can change aggregate productivity growth. But causality can also flow in the other direction: just as innovation is important to trade success, entry into export markets can drive firms to innovate. Hence, there are strong and dynamic linkages among trade policy, investment policy and innovation policy. Although it has long been recognized by policy-makers that domestic and trade policies should be coordinated, the new developments in trade theory suggest that these linkages are stronger, more complex, more dynamic and more important than previously thought.
Many recent trade models with firm heterogeneity incorporate internationally traded intermediate goods and services. These developments provide a framework for analyzing international participation by firms as importers and as participants in global value chains. Because the theory predicts that increased access to imported intermediates increases firm-level productivity, policies that directly lower the fixed and variable costs – including import tariffs – facing firms in their role as importers can lead to aggregate productivity gains. While the impact on a country’s exports of its own import liberalization due to value chain linkages is already recognized by policy-makers, the newest theoretical developments suggest a need for increased quantitative evaluation of these effects.
The importance of imported intermediates in production varies considerably across industries according to the specifics of production technologies. Given the rising incidence of intermediate importing and participation in global value chains, an increasingly important policy objective should be to develop quantitative measures of the productivity impact of imports and domestic trade liberalization on firms that are two-way traders.39 To guide policy, careful empirical studies that estimate the productivity effects of imported inputs on specific Canadian industries are needed. For example, Baldwin and Yan (“Global Value Chain Participation,” in this volume) find that firms in the Canadian manufacturing sector enjoyed significant productivity benefits when they started two-way trading, and productivity declines of similar size when they stopped (both relative to the control groups).
It has long been understood that trade policy changes can create winners and losers in an economy. While traditional trade models suggest they could be identified by industry or factor ownership, recent trade models suggest there will generally be winners and losers from trade liberalization within the same industry. For example, an import-competing industry that may shrink as a result of liberalization will nonetheless likely have firms that become winners.40 This important nuance suggests that mobilizing industry associations in support of a unified position in trade negotiations will be difficult due to the inherent conflicts they face because they represent both winners and losers.
In theory at least, with aggregate gains from trade liberalization, winners can compensate losers (perhaps through government transfer schemes). In practice, however, such transfers face significant political and implementation difficulties. The latest developments in trade theory with firm heterogeneity show differential gains within industries that further complicate the design of such transfers. Recognizing these complexities makes it clear that Canadian trade negotiators face more significant challenges in evaluating policy in light of national interests, and broad consultations at the firm level are needed.
At the aggregate level, increased trade and trade-enhancing policies generally improve economic performance. Some recent empirical work investigates the extent to which different types of workers are benefiting from these developments. One concern, at least in the US context, is that increased trade may be associated with increased wage inequality, both within and across worker groups. Research using Canadian data on this issue is limited, and additional analysis on distributional implications for Canadian workers would be welcome.
Recent research demonstrates that the impact of trade liberalization is significantly influenced by both the degree of heterogeneity in productivity across firms and the size of the elasticity of substitution across products in an industry. For example, Chaney (2008) demonstrates that a higher elasticity of substitution magnifies the intensive margin response but dampens the extensive margin response. He also shows that the size of the effect of a decrease in trade barriers on trade flows depends crucially on the degree of firm productivity heterogeneity within an industry. For example, using data on the distribution of US manufacturing firms, he argues that the elasticity of trade flows with respect to variable trade costs is twice as large as it would have been in the absence of firm heterogeneity. These types of theoretical results strongly suggest that to be able to quantify the predicted and actual effects of policy changes, Canadian policy-makers need estimates of industry-level variables that characterize the empirical distribution of Canadian firms and the degree of product substitutability within industries.
In addition, much of the firm- and plant-level data analysis to date uses data exclusively from manufacturing firms – indeed, much of what we know about the characteristics of firms that participate in international markets is based solely on manufacturing. However, the international activities of firms in agriculture, services, retail and other sectors are also economically important for formulating and assessing the impact of trade policy in Canada. The work on SMEs by Sui and Tapp (in this volume) represents a valuable contribution to increasing our understanding in this direction, but additional empirical research is needed. Moreover, while trade negotiations tend to focus on mature industries, the newest developments in trade theory and policy suggest that empirical attention should also be paid to emerging products, firms and industries.
In acknowledging the role of firm heterogeneity in influencing outcomes, we must also recognize that trade negotiators need access to quantitative studies based on firm as well as industry-level data analysis to obtain information on how individual firms may be affected by changes in policy. Indeed, highly disaggregated data and a value-added approach to measuring trade flows are essential for quantitative assessments of the impact of trade liberalization policies. Although the latest developments in trade theory were driven in part by the increased availability of firm- and plant-level data, testing and applying of the ideas of the new theory to real-world policy problems in a Canadian context requires more extensive microlevel datasets and analysis. The traditional macrolevel approach to measuring the impacts of trade agreements, focusing on quantifying expansions of existing trade flows, is no longer adequate.
Much as firm-level data has helped us to better understand the mechanisms through which trade affects firms, we similarly need better matched worker-firm data in Canada to better understand how trade affects workers and different parts of the wage/income distribution. To the extent that there are important distributional impacts of trade, designing optimal trade policy is likely to become more complicated and may ultimately extend into the domains of labour markets, training and education policies.
Government policies, such as tax credits, that simply reward the act of participating in international markets through exporting or importing may have only limited effects on the extensive margin and, therefore, on trade and productivity. According to the theory outlined earlier in this chapter, such a policy will disproportionately affect entry by the most productive of those firms that previously only served the domestic market. Because of government budget constraints on the feasible size of such a reward for each firm, we would generally expect a relatively minor entry response into international markets by firms.
Furthermore, such a policy, which rewards all firms for international market participation (as opposed to new entrants only), might entail significant inefficiencies because a considerable part of the payments under such a program would tend to go to firms that would be exporting even in the absence of that policy. A more cost-effective policy to increase international participation – especially for small and medium enterprises – would be to target lowering the sunk, fixed and variable costs of international participation for all firms.
This chapter has discussed some developments in modern theoretical approaches to understanding international trade. The literature emphasizes the effects of trade reforms on firm, industry and aggregate productivity due to the shifting of resources within and between heterogeneous firms. These models increase our understanding of the complex, two-way relationships between trade and productivity and the varied roles of firms in international markets as exporters and importers. The new insights from a firm-based approach to trade theory, along with firm-level data, have the potential to improve a government’s ability to use its suite of trade-related policies to improve economic performance.
The developments reviewed in this chapter are also beginning to increase our understanding of the distributional effects of trade policy on different groups within a country. In many recent models, trade reforms produce differential effects across firms. Furthermore, when new models relax restrictive assumptions and allow wages to vary across firms and workers due to heterogeneity, then trade liberalization can have distributional income effects that extend beyond the scope of traditional trade models.
Trade patterns have changed significantly in recent years with the growth in trade of services, increased use of global value chains and the expanded role of firms as importers of intermediates. As trade policy and trade negotiations adjust to these rapidly changing ways of conducting global commerce, firm-based approaches make the theoretical and empirical prediction of the effects of policy changes on individual and aggregate outcomes more challenging – and more important.
This continues to be an active and exciting area of research with many important and unresolved questions. To better inform policy, we need to develop more focused firm-based models of trade that capture the unique features of the Canadian economy. These include regional concerns, the importance of natural resource industries and agriculture, and the changing international production structure for Canadian firms.
Researchers are continuing to improve the empirical relevance of their theories by using firm-level data to motivate and test them. Baldwin and Yan (“Trade and Productivity”) and Sui and Tapp, both in this volume, as well as Lileeva and Trefler (2010) and Trefler (2004), are important empirical contributions on Canadian firms and industries. However, more work is needed to better document the characteristics of the Canadian economy and guide policies. Improving our understanding of the intricate links between theory, data and policy is essential as researchers and policy-makers endeavour to undertake policy analysis through the lens of these new models.
I thank Dan Ciuriak, Terry Collins-Williams, John M. Curtis and Robert Wolfe for many interesting discussions on the empirical, theoretical and policy issues that arise when considering the roles of firms in international trade. I also thank Stephen Tapp, the editors, an anonymous referee and John Ries for helpful comments.
Abel-Koch, J. 2013. “Endogenous Trade Policy with Heterogeneous Firms.” Gutenberg School of Management and Economics Working Paper 1306. Mainz, Germany: Gutenberg School.
Akerman, A., E. Helpman, O. Itskhoki, M. Muendler, and S. Redding. 2013. “Sources of Wage Inequality.” American Economic Review 103 (3): 214-19.
Albornoz, F., H. Calvo-Pardo, G. Corcos, and P. Ornelas. 2012. “Sequential Exporting.” Journal of International Economics 88 (1): 17-31.
Alverez, F., and R.J. Lucas. 2007. “General Equilibrium Analysis of the Eaton-Kortum Model of International Trade.” Journal of Monetary Economics 54 (6): 1726-68.
Amiti, M., and D. Davis. 2012. “Trade, Firms, and Wages: Theory and Evidence.” Review of Economic Studies 79 (1): 1-36.
Amiti, M., O. Itskhoki, and J. Konings. 2014. “Importers, Exporters, and Exchange Rate Disconnect.” American Economic Review 104 (7): 1942-78.
Amiti, M., and J. Konings. 2007. “Trade Liberalization, Intermediate Inputs, and Productivity.” American Economic Review 97 (5): 1611-38.
Amiti, M., and D. Weinstein. 2011. “Exports and Financial Shocks.” Quarterly Journal of Economics 126 (4): 1841-77.
Anderson, M., H. LÃ¶Ã¶f, and S. Johansson. 2008. “Productivity and International Trade-Firm Level Evidence from a Small Open Economy.” Review of World Economics/Weltwirtschaftliches Archiv 144 (4): 774-801.
AntrÃ s, P., and E. Helpman. 2004. “Global Sourcing.” Journal of Political Economy 112 (3): 552-80.
–––. 2008. “Contractual Frictions and Global Sourcing.” In The Organization of Firms in a Global Economy, edited by E. Helpman, T. Verdier, and D. Marin. Cambridge, MA: Harvard University Press: 9-54.
Arkolakis, C. 2011. “A Unified Theory of Firm Selection and Growth.” NBER Working Paper 17553. Cambridge, MA: National Bureau of Economic Research.
Arkolakis, C., A. Costinot, and A. RodrÃguez-Clare. 2012. “New Trade Models: Same Old Gains?” American Economic Review 102 (1): 94-130.
Arkolakis, C., and M.A. Muendler. 2011. “The Extensive Margin of Exporting Products: A Firm-Level Analysis.” NBER Working Paper 16641. Cambridge, MA: National Bureau of Economic Research.
Atkeson, A., and A. Burstein. 2010. “Innovation, Firm Dynamics, and International Trade.” Journal of Political Economy 118 (3): 433-84.
Attanasio, O., P. Goldberg, and N. Pavcnik. 2004. “Trade Reforms and Wage Inequality in Colombia.” Journal of Development Economics 74 (2): 331-66.
Autor, D., D. Dorn, and G. Hanson. 2013. “The China Syndrome: Local Labor Market Effects of Import Competition in the United States.” American Economic Review 103 (6): 2121-68.
Aw, B.Y., M. Roberts, and D. Xu. 2011. “R&D Investment, Exporting, and Productivity Dynamics.” American Economic Review 101 (4): 1312-44.
Baldwin, J.R., and W. Gu. 2003. “Export-Market Participation and Productivity Performance in Canadian Manufacturing.” Canadian Journal of Economics 36 (3): 634-57.
_____. 2004. “Trade Liberalization: Export-
Market Participation, Productivity Growth, and Innovation.” Oxford Review of Economic Policy 20 (3): 372-92.
Baldwin, J.R., and B. Yan. 2012. “Export Market Dynamics and Plant-Level Productivity: Impact of Tariff Reductions and Exchange-Rate Cycles.” Scandinavian Journal of Economics 114 (3): 831-55.
Baldwin, R., and F. Robert-Nicoud. 2010. “Trade-in-Goods and Trade-in-Tasks: An Integrated Approach.” NBER Working Paper 15882. Cambridge, MA: National Bureau of Economic Research.
Behrens, K., and Y. Murata. 2006. “Gains from Trade and Efficiency under Monopolistic Competition: A Variable Elasticity Case.” CORE Discussion Paper 2006/49. Louvain-la-Neuve, Belgium: Center for Operations Research and Econometrics.
Bernard, A., J. Eaton, J.B. Jensen, and S. Kortum. 2003. “Plants and Productivity in International Trade.” American Economic Review 93 (4): 1268-90.
Bernard, A., and J.B. Jensen. 1995. “Exporters, Jobs, and Wages in U.S. Manufacturing: 1976-87.” Brookings Papers on Economic Activity: Microeconomics: 67-112.
_____. 1997. “Exporters, Skill Upgrading and the Wage Gap.” Journal of International Economics 42 (1-2): 3-31.
_____. 1999. “Exceptional Exporter Performance: Cause, Effect, or Both.” Journal of International Economics 47 (1): 1-25.
Bernard, A., J.B. Jensen, S. Redding, and P. Schott. 2007. “Firms in International Trade.” Journal of Economic Perspectives 21 (3): 105-30.
_____. 2012. “The Empirics of Firm Heterogeneity and International Trade.” Annual Review of Economics 4: 283-313.
Bernard, A., J.B. Jensen, and P. Schott. 2006. “Trade Costs, Firms, and Productivity.” Journal of Monetary Economics 53 (5): 917-37.
_____. 2009. “Importers, Exporters, and Multinationals: A Portrait of Firms in the U.S. That Trade Goods.” In Producer Dynamics: New Evidence from Micro Data, edited by T. Dunne, J.B. Jensen, and M.J. Roberts. Chicago: University of Chicago Press.
Bernard, A., S. Redding, and P. Schott. 2007. “Comparative Advantage and Heterogeneous Firms.” Review of Economic Studies 74: 31-66.
_____. 2011. “Multi-product Firms and Trade Liberalization.” Quarterly Journal of Economics 126 (3): 1271-1318.
Bustos, P. 2011. “Trade Liberalization, Exports and Technology Upgrading: Evidence on the Impact of MERCOSUR on Argentinian Firms.” American Economic Review 10 (1): 304-40.
Caliendo, L., and E. Rossi-Hansberg. 2012. “The Impact of Trade on Organization and Productivity.” Quarterly Journal of Economics 127 (3): 1393-1467.
Chaney, T. 2008. “Distorted Gravity: The Intensive and Extensive Margin of International Trade.” American Economic Review 98 (4): 1707-21.
Ciuriak, D., B. Lapham, and B. Wolfe, with T. Collins-Williams and J.M. Curtis. 2015. “Firms in International Trade: Trade Policy Implications of the New New Trade Policy.” Global Policy 6 (2): 130-40.
Crozet, M., and P. Koenig. 2010. “Structural Gravity Equations with Intensive and Extensive Margins.” Canadian Journal of Economics 43 (1): 41-62.
Das, S., M.J. Roberts, and J.R. Tybout. 2007. “Market Entry Costs, Producer Heterogeneity, and Export Dynamics.” Econometrica 75 (3): 837-73.
Davis, D., and J. Harrigan. 2011. “Good Jobs, Bad Jobs, and Trade Liberalization.” Journal of International Economics 84 (1): 26-36.
De Loeker, J. 2007. “Do Exports Generate Higher Productivity? Evidence from Slovenia.” Journal of International Economics 73 (1): 69-98.
Demidova, S., and A. RodrÃguez-Clare. 2009. “Trade Policy under Firm-Level Heterogeneity in a Small Economy.” Journal of International Economics 78 (1): 100-12.
Dunne, T., M.J. Roberts, and L. Samuelson. 1989. “The Growth and Failure of U.S. Manufacturing Plants.” Quarterly Journal of Economics 104 (4): 671-98.
Eaton, J., M. Eslava, D. Jinkins, C.J. Krizan, and J. Tybout. 2014. “A Search and Learning Model of Export Dynamics.” Working paper. Accessed May 19, 2015. http://grizzly.la.psu.edu/~jtybout/EEJKT_02_26_2014.pdf
Eaton, J., and S. Kortum. 2002. “Technology, Geography, and Trade.” Econometrica 70 (5): 1741-80.
Eaton, J., S. Kortum, and F. Kramarz. 2011. “An Anatomy of International Trade: Evidence from French Firms.” Econometrica 79 (5): 1453-98.
Eckel, C., and P. Neary. 2010. “Multi-product Firms and Flexible Manufacturing in the Global Economy.” Review of Economic Studies 77 (1): 188-217.
Egger, H., and U. Kreickemeier. 2009. “Firm Heterogeneity and the Labor Market Effects of Trade Liberalization.” International Economic Review 50 (1): 187-216.
Feenstra, R. 2003. “A Homothetic Utility Function for Monopolistic Competition Models without Constant Price Elasticity.” Economics Letters 78 (1): 79-86.
Felbermayr, G., B. Jung, and M. Larch. 2013. “Optimal Tariffs, Retaliation, and the Welfare Losses from Tariff Wars in the Melitz Model.” Journal of International Economics 89 (1): 13-25.
Felbermayr, G., J. Prat, and H.-J. Schmerer. 2011. “Globalization and Labor Market Outcomes: Wage Bargaining, Search Frictions, and Firm Heterogeneity.” Journal of Economic Theory 146 (1): 39-73.
Fernandes, A. 2007. “Trade Policy, Trade Volumes, and Plant-Level Productivity in Colombian Manufacturing Industries.” Journal of International Economics 71 (1): 52-71.
Finicelli, A., P. Pagano, and M. Sbracia. 2013. “Ricardian Selection.” Journal of International Economics 89 (1): 96-109.
Firpo, S., N. Fortin, and T. Lemieux. 2011. “Occupational Tasks and Changes in the Wage Structure.” Institute for the Study of Labor discussion paper 5542. Bonn, Germany: Institute for the Study of Labor. Accessed May 19, 2015. http://ftp.iza.org/dp5542.pdf
Fortin, N., D. Green, T. Lemieux, K. Milligan, and C. Riddell. 2012. “Canadian Inequality: Recent Developments and Policy Options.” Canadian Public Policy 38 (2): 121-45.
FraÃs, J., D. Kaplan, and E. Verhoogen. 2012. “Exports and Within-Plant Wage Distributions: Evidence from Mexico.” American Economic Review 102 (3): 435-40.
Ghironi, F., and M. Melitz. 2005. “International Trade and Macroeconomic Dynamics with Heterogeneous Firms.” Quarterly Journal of Economics 120 (3): 865-915.
_____. 2007. “Trade Flow Dynamics and Heterogeneous Firms.” American Economic Review 97 (2): 356-61.
Goldberg, P., A. Khandelwal, N. Pavcnik, and P. Topalova. 2010. “Imported Intermediate Inputs and Domestic Product Growth: Evidence from India.” Quarterly Journal of Economics 125 (4): 1727-67.
Goldberg, P., and N. Pavcnik. 2007. “Distributional Effects of Globalization in Developing Countries.” Journal of Economic Literature 45 (1): 39-82.
Greenaway, D., G. Guariglia, and R.A. Kneller. 2007. “Financial Factors and Exporting Decisions.” Journal of International Economics 73 (2): 377-95.
Greenaway, D., and R.A. Kneller. 2007. “Firm Heterogeneity, Exporting, and Foreign Direct Investment.” Economic Journal 117 (517): F134-61.
Grossman, G., and E. Rossi-Hansberg. 2008. “Trading Tasks: A Simple Model of Offshoring.” American Economic Review 98 (5): 1978-97.
Head, K., and J. Ries. 1999. “Rationalization Effects of Tariff Reductions.” Journal of International Economics 47 (2): 295-320.
Heckscher, E. 1919. “The Effect of Foreign Trade on the Distribution of Income.” Ekonomisk Tidskrift 21: 497-512.
Helpman, E. 1981. “International Trade in the Presence of Product Differentiation, Economies of Scale, and Monopolistic Competition: A Chamberlinian, Heckscher-Ohlin Approach.” Journal of International Economics 2: 304-40.
_____. 2006. “Trade, FDI, and the Organization of Firms.” Journal of Economic Literature 44 (3): 589-630.
Helpman, E., and O. Itskhoki. 2010. “Labor Market Rigidities, Trade, and Unemployment.” Review of Economic Studies 77 (3): 1100-37.
Helpman, E., O. Itskhoki, M. Muendler, and S. Redding. 2014. “Trade and Inequality: From Theory to Estimation.” NBER Working Paper 17991. Cambridge, MA: National Bureau of Economic Research.
Helpman, E., O. Itskhoki, and S. Redding. 2010. “Inequality and Unemployment in a Global Economy.” Econometrica 78 (4): 1239-83.
_____. 2013. “Trade and Labor Market Outcomes.” In Advances in Economics and Econometrics: Tenth World Congress, vol. 2, Applied Economics, edited by D. Acemoglu, M. Arellano, and E. Dekel. New York: Cambridge University Press.
Helpman, E., and P. Krugman. 1985. Market Structure and Foreign Trade: Increasing Returns, Imperfect Competition, and the International Economy. Cambridge, MA: MIT Press.
Helpman, E., M. Melitz, and Y. Rubinstein. 2008. “Estimating Trade Flows: Trading Partners and Trading Volumes.” Quarterly Journal of Economics 123 (2): 441-87.
Helpman, E., M. Melitz, and S. Yeaple. 2004. “Export versus FDI with Heterogeneous Firms.” American Economic Review 94 (1): 300-16.
Kasahara, H., and B. Lapham. 2013. “Productivity and the Decision to Import and Export: Theory and Evidence.” Journal of International Economics 89 (2): 297-316.
Keller, W. 2004. “International Technology Diffusion.” Journal of Economic Literature 42 (3): 752-82.
_____. 2009. “International Trade, Foreign Direct Investment, and Technology Spillovers.” NBER Working Paper 15442. Cambridge, MA: National Bureau of Economic Research.
Khandelwal, A., and P. Topalova. 2011. “Trade Liberalization and Firm Productivity: The Case of India.” Review of Economics and Statistics 93 (3): 995-1009.
Krugman, P. 1979. “Increasing Returns, Monopolistic Competition, and International Trade.” Journal of International Economics 9 (4): 469-79.
_____. 1980. “Scale Economies, Product Differentiation and the Pattern of Trade.” American Economic Review 70 (5): 950-59.
Kugler, M., and E. Verhoogen. 2008. “The Quality-Complementarity Hypothesis: Theory and Evidence from Colombia.” NBER Working Paper 14418. Cambridge, MA: National Bureau of Economic Research.
Kurokawa, Y. 2012. “A Survey of Trade and Wage Inequality: Anomalies, Resolutions, and New Trends.” Journal of Economic Surveys 28 (1): 169-83.
Lancaster, K. 1980. “Intra-industry Trade under Perfect Monopolistic Competition.” Journal of International Economics 10 (2): 151-75.
Lawless, M. 2010. “Deconstructing Gravity: Trade Costs and Extensive and Intensive Margins.” Canadian Journal of Economics 43 (4): 1149-72.
Levchenko, A., and J. Zhang. 2014. “Ricardian Productivity Differences and the Gains from Trade.” European Economic Review 65 (C): 45-65.
Lileeva, A., and D. Trefler. 2010. “Improved Access to Foreign Markets Raises Plant-Level Productivity…for Some Plants.” Quarterly Journal of Economics 125 (3): 1051-99.
Lu, D. 2010. “Exceptional Exporter Performance? Evidence from Chinese Manufacturing Firms.” University of Chicago Job Market Paper. Accessed May 19, 2015. http://crifes.psu.edu/papers/DanLuJMP.pdf
Ma, A., A. Van Assche, and C. Hong. 2009. “Global Production Networks and China’s Process Trade.” Journal of Asian Economics 20 (6): 640-54.
Manova, K. 2013. “Credit Constraints, Heterogeneous Firms, and International Trade.” Review of Economic Studies 80: 711-44.
Markusen, J.R. 1981. “Trade and the Gains from Trade with Imperfect Competition.” Journal of International Economics 11 (4): 531-51.
Mayer, T., M. Melitz, and G. Ottaviano. 2012. “Market Size, Competition, and the Product Mix of Exporters.” CEP Discussion Paper 1146. London, UK: Centre for Economic Performance.
Melitz, M. 2003. “The Impact of Trade on Intra-industry Reallocations and Aggregate Industry Productivity.” Econometrica 71 (6): 1695-1725.
Melitz, M., and G. Ottaviano. 2008. “Market Size, Trade, and Productivity.” Review of Economic Studies 75 (1): 295-316.
Melitz, M., and S. Redding. 2014. “Heterogeneous Firms and Trade.” In Handbook of International Economics, vol. 4, edited by G. Gopinath, E. Helpman, and K. Rogoff. Kidlington, UK: Elsevier.
Melitz, M., and D. Trefler. 2012. “Gains from Trade When Firms Matter.” Journal of Economic Perspectives 26 (2): 91-118.
Menezes-Filho, N., and M.-A. Muendler. 2007. “Labor Reallocation in Response to Trade Reform.” CESifo Working Paper 1936. Munich: CESifo Group.
Minetti, R., and S.C. Zhu. 2011. “Credit Constraints and Firm Export: Microeconomic Evidence from Italy.” Journal of International Economics 83 (2): 109-25.
Mitra, D., and P. Ranjan. 2010. “Offshoring and Unemployment: The Role of Search Frictions Labor Mobility.” Journal of International Economics 81 (2): 219-29.
Ohlin, B. 1933. Interregional and International Trade. Cambridge, MA: Harvard University Press.
Ossa, R. 2012. “Why Trade Matters after All.” NBER Working Paper 18113. Cambridge, MA: National Bureau of Economic Research.
Pavcnik, N. 2002. “Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants.” Review of Economic Studies 69 (1): 245-76.
Redding, S. 2011. “Theories of Heterogeneous Firms and Trade.” Annual Review of Economics 3: 77-105.
Ricardo, D. 1817. On the Principles of Political Economy and Taxation. London, UK: John Murray.
Ruhl, K., and J. Willis. 2014. “New Exporter Dynamics.” Federal Reserve Bank of Kansas City Research Working Papers 14-10. Accessed May 19, 2011. https://www.kansascityfed.org/publicat/reswkpap/pdf/rwp14-10.pdf
Samuelson, P.A. 1939. “The Gains from International Trade.” Canadian Journal of Economics and Political Science 5: 195-205.
Trefler, D. 2004. “The Long and Short of the Canada-US Free Trade Agreement.” American Economic Review 94 (4): 870-95.
Tybout, J. 2003. “Plant- and Firm-Level Evidence on ”˜New’ Trade Theories.” In Handbook of International Economics, edited by E. Kwan Choi and J. Harrigan. Oxford, UK: Basil Blackwell.
Vanek, J. 1968. “The Factor Proportions Theory: The N-Factor Case.” Kyklos 21 (4): 749-56.
Verhoogen, E. 2008. “Trade, Quality Upgrading, and Wage Inequality in the Mexican Manufacturing Sector.” Quarterly Journal of Economics 123 (2): 489-530.
Pour diffusion immédiate – Le 28 mai 2015
Montréal – Deux études de l’IRPP établissent clairement que l’accroissement des échanges commerciaux Ã l’étranger favorise la performance économique au pays, et que les politiques de promotion du commerce ont permis d’améliorer la productivité du secteur manufacturier canadien. Se basant sur des approches Ã la fois théoriques et pratiques, ces conclusions s’appliquent aussi bien aux exportations et aux importations qu’aux échanges interprovinciaux et internationaux.
Les experts en productivité John Baldwin et Beiling Yan (de Statistique Canada) montrent ainsi que les entreprises exportatrices contribuent largement Ã l’activité économique du pays. De 1974 Ã 2010, par exemple, leur productivité moyenne dépassait de 13 p. 100 celle des entreprises non exportatrices. Et de 2000 Ã 2007, pas moins des deux tiers de la croissance effective de la productivité canadienne provenaient d’importations de biens intermédiaires, produits en grande partie aux États-Unis.
« Certes impressionnants, les gains de productivité occasionnés par l’accès Ã de nouveaux marchés n’ont toutefois rien de systématique, notent les auteurs. Car les entreprises prospères investissent dans les technologies de pointe, la recherche-développement et la formation, c’est-Ã -dire des activités qui renforcent leur capacité de tirer profit des meilleures pratiques internationales. »
Selon les données canadiennes, estiment-ils, les politiques commerciales stimulent la productivité notamment par les restructurations industrielles, qui entraînent des transferts de production vers les entreprises les plus productives.
Les réductions tarifaires ont aussi fait croître la productivité du Canada, mais leur effet a été moindre que celui du mouvement des taux de change. Dans la période 2000-2006, qui a vu l’appréciation du dollar canadien et le renforcement de la frontière canado-américaine Ã la suite du 11 septembre, les gains de productivité généralement réalisés par les nouveaux exportateurs ont pratiquement disparu.
De son côté, Beverly Lapham (Université Queen’s) s’intéresse dans son étude aux récentes avancées de la théorie économique. « L’idée selon laquelle le commerce stimule la productivité n’a rien de nouveau, précise-t-elle, mais de nouvelles recherches ont montré comment ce phénomène se déroule concrètement dans le contexte de l’évolution des politiques commerciales et de l’économie dans son ensemble. » Ces recherches mettent aussi en lumière la forte incidence distributive du commerce sur les entreprises et les salariés.
Ces avancées théoriques offrent aux gouvernements du pays l’occasion d’améliorer la performance économique, mais ils devront pour ce faire adopter une nouvelle approche prévoyant une réduction des coûts que doivent engager les entreprises pour pénétrer les marchés internationaux, tout en facilitant les importations comme les exportations. Il serait aussi essentiel, conclut l’auteure, d’utiliser les données d’entreprise pour mieux comprendre les caractéristiques clés de l’économie canadienne et guider le processus d’élaboration des politiques.
Proposant un nouvel éclairage sur les liens entre commerce et productivité, ces études de John Baldwin et Beiling Yan et de Beverly Lapham, qui seront publiées dans un ouvrage Ã paraître intitulé Redesigning Canadian Trade Policies for New Global Realities, peuvent être téléchargées sur le site de l’Institut (irpp.org/fr).
|Publié sous la direction de Stephen Tapp, Ari Van Assche et Robert Wolfe, Redesigning Canadian Trade Policies for New Global Realities sera le sixième ouvrage de la collection L’art de l’État de l’IRPP. Trente éminents experts (universitaires, chercheurs du gouvernement et autres spécialistes) d’ici et d’ailleurs y analysent l’incidence de l’évolution des échanges commerciaux, des technologies, et du pouvoir économique et géopolitique sur les politiques canadiennes.|
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