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The IUP Journal of Applied Economics
Technology, Production Factors and Specialization: New Evidence
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This paper presents new evidence concerning the relationship between relative factor endowments, productivity and specialization. Using a recently developed dynamic panel data fixed effects estimator, the study evaluates the effect of factor endowments in comparison to the effect of productivity on specialization in different sectors of the economy. The study reveals that productivity has more influence in determining industrial specialization than factor endowment. The study concludes that on average, a developing country's machinery sector benefits from investment in capital accumulation and technology.

 
 

The factor proportions version of neoclassical trade theory has been recently applied to empirical investigations. There are two main types of empirical investigations reported: studies that address the specialization using typical measures of it, whatever sectors in which specialization occurs (e.g., Anderson and Marcouiller, 2002; and Svaleryd and Vlachos, 2005), and studies that address determinants of specialization within each sector in the economy (Harrigan, 1997; and Gopinath and Upadhyay, 2002). This study follows the last line of research.

The above-mentioned studies, regarding the relationship between production factors and specialization, have considered this relationship within groups of countries. The first reference (Harrigan, 1997) studied a group of Organization for Economic Cooperation and Development (OECD) countries, and the second reference (Gopinath and Upadhyay, 2002) studied one sample of OECD countries and a `developing' countries ad hoc sample. While Harrigan's study used a seemingly unrelated regressions procedure, the study by Gopinath and Upadhyay used a random effects approach. However, the estimation approaches in both the studies failed to consider unobservable country-specific characteristics that may be correlated with other regressors. While Harrigan did not implement a fixed effects or instrumental variable approach, Gopinath and Upadhyay seemed to fail to potentially correlate country-specific effects with right-hand side factors and productivity. These studies faced obvious data constraints. Therefore, we intend to improve both the estimation method—a corrected fixed effects approach developed by Bruno (2005a and 2005b)—and the data coverage—a broader sample of developing countries. Unfortunately, we have also faced some data constraints.

 
 

Applied Economics Journal, Organization for Economic Cooperation and Development, OECD, World Development Indicators, WDI, Total Factor Productivity, TFP, Geographical Variables, Industrial Specialization, Industrial Specialization, Root Mean Squared Error, RMSE.