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The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

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.

A better understanding of the determinants of demand through accurate estimates of the elasticity of import demand can help policymakers and exporters improve their market access and competitiveness. This study analyzed the EU's demand for imported potato from major suppliers between 1994 and 2018, with the aim to evaluate the competitiveness of Egyptian potato.

This study adopted an import-differentiated framework to investigate demand relationships among the major potato suppliers to the EU's. To evaluate the competitiveness of Egyptian potato on the EU market, expenditure and price demand elasticities for various suppliers were calculated and compared.

The empirical results indicated that as income allocation of fresh potatoes increases, the investigated EU markets import more potatoes from other suppliers compared to imports from Egypt. The results show that EU importers may switch to potato imports from other suppliers as the import price of Egyptian potatoes increases, which enter the EU markets before domestically produced potatoes are harvested.

Due to data unavailability, the present study relied on yearly data on quantities and prices of EU potato imports. A higher frequency of observations should allow for considering seasonal effects, and thereby providing a more transparent picture of market dynamics and demand behavior of EU countries with respect to potato import from various sources of origin.

The study used a system-wide and source differentiated approach to analyze import demand. In particular, the empirical approach allowed for comparing different demand models (AIDS, Rotterdam, NBR and CBS) to filter out the superior and most suitable model for that data because the suitability and performance of a demand model depends rather on data than on universal criteria.

The issue of export instability exerts an enduring fascination for economists with an interest in the area of economic development. Over several decades a voluminous literature has emerged embracing debates on the domestic consequences and on the causes of export instability. The purpose here is to examine these debates and an attempt is made to set out different theoretical stances, to classify and examine empirical findings, and to indicate the directions in which the debates have moved. Such a statement of a review article's purpose is, of course, incomplete without more specific delineation of the boundaries within which the general objectives are pursued. Here that delineation has three facets.

The purpose of this study is to advance and test the idea that product exports and technology imports are complementary cross-border learning approaches for emerging market firms’ innovation performance. In addition, this paper also seeks to search for contextual variables that affect this complementarity.

This study takes systems approach to examine complementarity, combining a “productivity” and an “adoption” approach. In addition, interaction approach is also used as robustness check.

The authors show that the positive effect of export activity on firms’ growth rate is higher for firms that also engage in technology import, and vice versa. Furthermore, they show that, Ceteris paribus, firms’ adoption of one cross-border learning mechanism (e.g. entering export markets) positively influences the adoption of the other (e.g. technology import). Moreover, this complementarity is only significant for firms from province with low level of marketization.

This inconsistency about learning-by-exporting and technology import on innovation can be resolved, at least partially, by the complementarities perspective. This paper also reveals two mechanisms of learning-by-exporting: the indirect effect of export on innovation through increasing the likelihood of adoption decision of importing technology and enhancing the positive effect of technology imports.

The potential of combining the two strategies should not be ignored by managers. To improve regional competitiveness, local governments should try best to improve the efficiency of customs to help firms realize the synergistic effect of learning-by- exporting and learning-by-technology-importing.

This study first explores the positive complementarity between the two cross-border learning mechanism in sharping EEEs 2019 innovation performance and identifies the condition to realize the synergistic effect of learning-by-exporting and learning-by-technology-importing.

The assignment of targets to instruments in developing countries cannot satisfactorily follow any simple universal rule. Which approach is appropriate is influenced by whether the economy is dominated by primary exports, by the importance of the domestic bond market and bank credit, by the extent of existing restriction in foreign exchange and financial markets, by the presence or absence of persistent high inflation, and by the existence or non‐existence of an active international market in the country's currency. Eighteen observations and maxims on stabilisation policy are tentatively drawn (pp. 64–8) from the material reviewed, and the maxims are partly summarised (pp. 69–71) in a schematic assignment, with variations, of targets to instruments.

A decision support model is presented and discussed which aims at identifying realistic export opportunities for a given exporting country. The model consists of a screening process of four consecutive filters, through which relevant information on markets (such as country risk indicators, macroeconomic data, imports per product group, etc.) is fed, and which allows the identification and deletion of less interesting market opportunities. Results are reported of the application of this decision support model to the case of Thailand, adapted for an analysis of foreign trade data at the SITC four‐digit level up to 1997. These results are compared with previous results obtained using the same model. In this way, Thailand's export opportunities in individual countries, and in the Asia‐Pacific region in particular, are listed and categorised according to criteria such as import market characteristics and Thailand's market share in the various markets.

The expected growth of China's cotton imports along with Egypt's quest for penetrating new cotton importing markets have together attracted the authors to investigate the competitiveness and the demand for Egyptian cotton in the Chinese market in order to capture the emerging opportunities that Egypt could gain from such a growing market. The paper aims to discuss these issues

The paper employs Balassa's index of revealed comparative advantage and Vollrath's indices of revealed competitive advantage in order to measure the competitiveness of Egyptian cotton exports. An Almost Ideal Demand System (AIDS) approach was then used to estimate demand parameters for Chinese cotton imports from Egypt and major supply sources during the period 1992-2011.

Results show that Egypt has experienced dramatic declines in its cotton comparative advantage over the analyzed period. The estimation results of the AIDS model indicate that Egypt's market share is positively affected by both own and US export prices, but negatively influenced by export prices of other competitors in the Chinese market. Results also indicate that Egyptian cotton is substitutable for cotton imports from all other regions, especially for US cotton. Moreover, additional Chinese expenditure on cotton imports would favor other suppliers. Finally, demand for Egyptian cotton was found to be more sensitive to price changes and there is a greater tendency for China to switch to Egyptian cotton than the other way around should relative prices change.

This paper is original and novel in that; despite numerous studies have been done on China's demand for cotton and the several studies have been carried out on export and marketing of Egypt's cotton, the issue of cotton trade between Egypt and China has rarely been empirically examined. Furthermore, our results update important parameter estimates, particularly import demand elasticities of cotton. For Egypt, the study provides useful policy implications that could help policy makers to improve informed decision making with regard topromoting cotton exports to the Chinese market. For China, the study helps understanding the interrelationship between the Chinese cotton market and other emerging exporting markets, while focusing on the Egyptian market.