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Research based on Bangladesh–US trade data examines the Heckscher–Ohlin model and the Rybczynski hypothesis in this study.

Ordinary least square (OLS) techniques are used in this study, which relies on data from the NBER International Trade and Geography Data and the UN Comtrade Database for the years 2018 and 2008.

The research shows that trade between the United States and Bangladesh follows Heckscher–Ohlin and Rybcyzinski's trade predictions. According to the study, since labor is in plentiful supply in Bangladesh, Bangladesh's labor-based sectors have a higher US labor-to-capital import shares than US capital-based industries. As Bangladesh has not changed significantly from a labor-based country since 2008, it retains the same pattern even though the share of US unskilled labor-based sectors imported from Bangladesh decreased in 2018.

The findings of this study have a wide range of implications for both trade theory and policy debates between Bangladesh and the United States.

The purpose of this paper is to examine an endogenous growth model, as a component of a broader study of servicization with skill premium and its policy implications in the evolving digital economy.

This paper develops a two-sector endogenous growth model which allows for the observed characteristics of digitally empowered structural changes. Specifically, the driving force of economic growth is the expanding variety of intermediate services as a consequence of innovation in services. The introduction of new intermediate services specifically contributes to total factor productivity in the production of service sector, and thus an uneven growth path with skill premium toward a service economy generally exists.

The principal finding of this paper is that the digitally empowered expanding variety of intermediate services due to innovation contributes significantly to total factor productivity in the production of service sector, and thus a servicization with skill premium generally exists along a steady-state path. In addition, this paper derives an optimal innovation policy to rule out the market failures due to innovation externality and market power in monopolistic competition conditions, and shows the Rybczynski effects of exogenous endowment changes in the evolving digital economy.

The principal contribution of this paper is to determine how unbalanced endogenous growth along a steady-state path is linked with a service economy with skill premium in the evolving digital economy. In addition to this analysis, this paper provides policy implications – namely, that a positive but finite innovation subsidy can achieve the social optimum in the digital economy, and that an exogenous increase in high-skilled labor can speed up a digitally empowered economic growth.

We study here the effects of FTA on demand, consumer surplus, dealer profit, and tariff revenue depending on the degree of substitution between two goods and import competition structure in a two country’s static model. We consider monopolist dealer, and perfect competition in imports market. The base model is with a positive tariff and we compare the equilibrium with a zero tariff under FTA. The rankings in the consumer utility are such that it is i) the highest under perfect competition with FTA or without FTA, ii) second highest under monopoly with FTA, and iii) the lowest under monopoly without FTA.

Using duality theory, we give a simple mathematical proof of some well‐known theorems of international trade theory. The two‐sector production model is described by a joint cost function from which the standard comparative statics results can be derived with little difficulty: all that is basically needed is the inversion of a Hessian matrix. This representation of the technology emphasises the importance of the assumption of non‐joint production, and it is useful for generalisation to many goods and factors, for treatment of intermediate products, and for empirical implementation.

The purpose of this paper is to indicate trade characteristics of Foreign direct investment (FDI) inflows in China and examine the dynamic interaction between FDI inflows and China’s international trade through empirical analysis.

At first, this paper builds the probability distribution model (Poisson and negative binomial (NB)) to capture the characteristics of spatial distribution of all kinds of FDI firms in Chinese cities and provinces based on count data, so as to indicate the potentials for further introducing FDI inflows in China; Second, this paper investigates the effects of trade on FDI firms inflows based on probability regress model (Binary Logit, Tobit, NB, Poisson, zero inflated negative binomial) and shows how international trade accelerates the different kinds of FDI firms to agglomerate in Eastern, Middle and Western region by the endowments of factors; third, this paper empirically examines the magnitude and characteristics of trade effects generated by FDI inflows by building dynamic panel model based on continuous data.

First, statistical tests of probability distribution model based on count data show that there are characteristics of spatial agglomeration of FDI firms such as manufacture firm, R & D firm, managing and marketing firm and total sectors, which obey NB distribution as whole; Second, this study indicate that FDI inflows have strong positive effects on the international trade in China’s provinces and on China’s regional trade, and that most of foreign firms in China are export oriented being strongly characterized as labor-intensive industries, especially, contributions of FDI to imports are greater than the contributions of FDI to exports in China’s Middle and Western trade, and the growth of FDI trade in China’s trade volume has been strong over the past years; third, the empirical results of models based on count data and continuous data indicate that FDI inflows have significantly positive relationship with international trade, that is, the relationship between FDI and international trade in the case of China is the characteristics with complement and imports substituting relationship.

Because of mixed data set for FDI inflows of processing and assembling trade and production-oriented FDI, efficiency-seeking and knowledge or technology – intensive FDI inflows in the past 36 years, the paper only investigate characteristics of FDI inflows in China before the turning point of financial crisis, but it is important for capturing the whole picture of trade characteristics of FDI inflows in China.

The derived quantitative results imply that there are still greater potentials for further introducing FDI inflows in China, and decision-maker should make policy of introducing FDI inflows which are favorable to supporting innovative activities and economic agglomeration, and preferably encourage efficiency-seeking and export-oriented FDI inflows so as enhance quality and efficiency of economic growth, which are also helpful to accelerate upgrade of Chinese industry and gradually shorten gap of growth among Eastern, Middle and Western region.

FDI inflows in China not only stimulate the remarkable growth of bilateral trade between host country and home country, but also promote the growth of international trade between China and the rest of the world. Thus, policies of bilateral or multilateral free-trade and investment area should be encouraged, which will be also favorable to promote the growth and welfare in all the regions.

This paper demonstrates that spatial distributions of FDI firms in Chinese cities and provinces obey NB probability distribution pattern, and puts forward the methodology of model based on count data and continuous data. Besides, this paper quantitatively indicates trade characteristics of FDI inflows in China as well as the dynamic interaction between FDI inflows and China’s international trade.