Recent studies regarding the impacts of technology spillover and international trade have gained momentum in the emerging economies. Empirical evidences show that some countries gain and other loss to grasp the opportunities of international trade and technological innovation to compete in the global market. This paper examines the effect of export and technology on the economic performance of emerging Asian countries, using the Generalized Method of Moments (GMM) model between the periods 2000-2016. Following the Solow economic growth model, the result identifies a positive and significant effect of export and technology on the economic growth of the emerging Asian economies. Similarly, the long-run estimation ascertains the significant and positive impacts of trade and technology on the economic growth of the countries. The results are robust using alternative dynamic panel models, representing the pivotal role of export and technology to the economic growth of the countries. Thus, we recommend policymakers to device attractive policies that can enhance the advancement of technology and trade to maintain sustained economic growth. This would also fasten the internationalisation process and enable to compete efficiently in the global markets in terms of quality of exports and standardisation.

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In this study, we examined the empirical cointegration, long and short-run dynamics and relationships between technological innovation, infrastructure and industrial growth in Bangladesh over the period of 1974-2016. The ARDL Bounds Test methodology and Granger Causality test in an augmented VECM framework were applied. The ARDL bounds tests and additional cross-checking tests, undoubtedly confirmed long run as well as short-run cointegration between the three variables in Bangladesh. The obtained results expressed that infrastructure has a positive impact on the industrial growth but technological innovation has a negative impact on it in the long run. In the short run, infrastructure and technological innovation both have a positive and significant impact on industrial growth. The VECM Granger causality test reveals the existence of a bi-directional causality running between Industrial growth and infrastructure; and infrastructure and technological innovation. On the other hand, unidirectional causality is running from industrial growth to technological innovation. The findings of the Granger causality test supports the results obtained in the ARDL approach in our study. The results obtained from this empirical analysis have an important policy implication for a developing country like Bangladesh as well as other developing countries. 1. INTRODUCTION The founding partner, Roger McNamee, of the Venture Capital Firm Elevation Partners of US, commented that "We need to stop thinking about infrastructure as an economic stimulant and start thinking about it as a strategy. Economic stimulants produce Bridges to Nowhere. Strategic investment in infrastructure produces a foundation for long-term growth". In the same paper, investigation conducted on "Industry and Infrastructure" of India, it was revealed that vital factors for economic growth and development are to promote inclusive employment-intensive industry and to build resilient infrastructure (Hogan and McNamee, n.d). So there is a close relationship between infrastructure and industrial development or Economic development. All the activities of human being are somehow related to economic development and industrial development is one of the major components of it Rahman and Kashem (2017). From the economic growth point of view, the world has achieved a significant development in different kinds of infrastructure as the roads, railroads, airlines, giant bridges, high rise skyscrapers, tunnels, and industries etc. According to Ayeche et al. (2016) the global economic system has Asian Economic and Financial Review

The aim of this study is to investigate the impact of Trade openness, Technological Innovation, and Economic growth on the Environmental deterioration of China and India over the period of 1974-2016. These two largest transitional and emerging countries of Asia have gained miraculous development in many sectors but at the cost of Environmental deterioration. We have applied the ARDL Bounds Test methodology and Toda-Yamamoto Granger Non-Causality test to determine the short-run and long-run relationships of the variables. The results of the study illustrate that Technological innovation has a significant positive impact and Economic growth has a strong 0adverse effect on the Environmental deterioration of China in the long-run. But it is not so strong in the short-run. In the case of India, Trade openness and Economic growth have a significant positive impact and Technological innovation has a strong negative effect on Environmental deterioration in the long-run. The selected macroeconomic explanatory variables have a significant impact on the Environmental deterioration of India in the short-run as well. The results of ARDL bounds test are also supported by Toda-Yamamoto Granger Non-Causality test. To compare China and India, Trade openness has a significant impact on the Environmental deterioration of India, but it is not factual for China. In addition, Technological innovation and Economic growth have an inverse relationship on the Environmental deterioration of both the Countries. The findings of this study have an important policy implication for China and India. Contribution/ Originality: The contributions of this study in the existing literature are: it has examined the impact of Trade, Technology, and growth on the Environmental deterioration of the two largest transitional and emerging economies of Asia: China and India. We have applied the ARDL Bounds method and Toda-Yamamoto Granger Non-Causality test and illustrated that Trade has a significant impact on the Environmental deterioration of India, but it is not factual for China. Technology and growth have an inverse relationship on the Environmental deterioration of both the Countries.

This study aims to identify the significant effects of the Common Market for Eastern and Southern Africa (COMESA) integration processes on the economic growth of the member states over the period 2004–2016. By applying the system generalized method of moments (GMM) technique, the results show that the gross domestic product (GDP) per capita, with a 1‐year lag, has a robust effect on economic growth. Both per capita domestic value‐added (PCDVA) and institutional quality (IQ) exhibit a positive impact on economic growth in the long‐run performance compared to the short‐run performance. Human capital (HC) suggests statistical significance and adverse impact on economic growth in the short and long runs. However, our key variable of interest, namely the regional integration dummy variable (free trade area, FTA), has no robust effect on economic growth and exhibits insignificant effects across all interaction models and shows “inverted‐U interaction relationships” with trade openness, intra‐community export, and PCDVA. Other regional economic communities shows a statistically significant negative effect on the GDP per capita in both the short and long runs as well as in its interactions with FTA. The study suggests, among others, that there is a need for COMESA to address the issue of overlapping membership and to promote appropriate PCDVA, IQ, financial development, and HC policies and strategies to boost the economic growth of the member states.