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  Mentions légales
  N° 2007-05 CEPII Working Paper
March 2007
Trade Costs and the Home Market Effect
Matthieu Crozet
Federico Trionfetti
 
   
Models characterized by the presence of increasing returns, monopolistic competition, and trade costs typically give rise to a more-than-proportional relationship between a country’s share of world production of a good and its share of world demand for the same good. This relation between country’s market size and industrial specialization has become known as the Home Market Effect after Krugman (1980) and Helpmand and Krugman (1985).
This relationship has a central place in theoretical discussions about international trade. Indeed, it suggests that larger countries should specialize in increasing return to scale industries; on the contrary, countries in remote location should specialize in constant return to scale industries and consequently have lower income and long term economic growth. Moreover, the Home Market Effect is the main engine of the agglomeration processes emphasized by the new economic geography models (Krugman, 1991). This literature shows that trade openness may influence capital flows and accumulation, and thus contribute to widen international inequalities. Testing for the existence of the Home Market Effect is a first step toward and empirical validation of the new economic geography framework. Finally, the HME is so closely associated to the presence of increasing returns to scale (IRS) and monopolistic competition (MC) that it has been used as a discriminating criterion in a novel approach to testing trade theory pioneered by Davis and Weinstein (1999, 2003).
However, Davis (1998) shed doubt on the theoretical robustness of this relationship. Indeed, one pervasive assumption in the literature to date is that of the presence of an “outside good”, freely traded and produced under constant returns to scale (CRS) and perfect competition (PC) ; Davis (1998) shows that in the absence of an outside good (i.e. assuming trade costs in all sectors), the HME may disappear. The assumption of the existence of a freely traded CRS-PC good is as much convenient as it is at odds with reality. As noted by Head and Mayer (2004, p. 2634) when discussing this issue in their comprehensive account of the literature:“... the CRS sector probably does not have zero trade costs or the ability to absorb all trade imbalances.” The pervasive use of the outside good assumption and its inconsistency with reality raise the question of what are the consequences of its removal on the HME. The present paper investigates this question.
We eliminate the outside good from the main model used in the empirical literature on the HME. This model, in two different variants, has been used in Davis and Weinstein (1999, 2003) and in Head and Ries (2001). We find that, in general, the HME survives when the outside good is absent but its average magnitude is attenuated. More interestingly, both variants of the model predict a non-linear relationship between the production share and the demand share. The non-linearity is characterized by a weak HME (or absence thereof) when countries’ demand shares are not too different from the world average. The HME becomes stronger when countries’ demand share become more dissimilar.
In order to put this result to empirical verification, we use the trade and production database developed by CEPII (see Mayer and Zignago, 2005). Because of numerous missing values, we finally use a restricted balanced data set for 25 countries and 25 industries, over the period 1990-1996. Nevertheless, the set of countries remains very large; in 1996, it accounted for more than 78% of world GDP and about 70% of world trade.
In a fist step we estimate a polynomial equation relating countries’ relative demand for each good (i.e. the demand deviation from the sample average), to the corresponding production deviation. Demand deviations are computed as the sum of sectoral expenditures in all locations weighted by accessibility to consumers. We use Head and Ries (2001)’s measure of trade freeness to weight countries demand. The results strongly support the theoretical predictions: we observe a significant Home Market Effect on average, and a smoothly nonlinear relationship between demand deviations and production deviations. We perform also several robustness checks. For instance, we follow Davis and Weinstein (2003) using a two step procedure to estimate the freeness of trade. First, we perform, for each industry, a gravity estimation using bilateral trade data; then the coefficients of this regression are used to compute the bilateral trade barrier. The results remain barely unchanged: the HME is smaller when absolute value of demand deviations from the average are small.
In a second step, we go further by estimating the critical value of demand deviations beyond which the HME has a stronger influence on specializations. We thus perform with maximum- Wald tests for each industry. We show that the relation between demand and production deviations is strictly linear for two industries only: Wearing apparel and rubber products. One industry (Footwear) shows a non-linear shape that is clearly consistent with the constantreturn to scale and perfect competition paradigm. Finally, for eleven industries (out of 25), we observe a “piecewise” HME: the relationship between output and demand deviations is proportional for medium-sized demand deviations, and more than proportional for very large and very low demand deviations. For these eleven industries (that account all together for more than 62% manufacturing production in our sample) the HME matters only for one fifth of the observations, and HME is of negligible importance or totally absent for the remaining observations.
Non-technical summary
Résumé
non-technique
en français
Full text
   
International trade; test of trade theories; economic geography Keywords
F1, R12 JEL classification
   
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