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Öğe Emission intensive growth and trade in the era of the Association of Southeast Asian Nations (ASEAN) integration: An empirical investigation from ASEAN-8(ELSEVIER SCI LTD, 2017) Ahmed, Khalid; Bhattacharya, Mita; Shaikh, Zahid; Ramzan, Muhammad; Öztürk, İlhanThis paper attempts to shed some light on the energy consumption and associated emissions linking recent trade integration for eight economies in the ASEAN region: Brunei Darussalam, Cambodia, Indonesia, Malaysia, Philippines, Singapore, Thailand and Vietnam. Considering the heterogeneity across the panel of countries, a long-run relationship is established between output, energy, trade, and emissions over a period of three decades. The role of transportation is considered in this respect. The overall findings indicate that the environmental consequences of economic growth are alarming for most of the countries in the panel, and non-renewable energy consumption is the key contributing factor towards environmental deterioration in the ASEAN region. Of the eight, it is further established that five economies from the region (Cambodia, Indonesia, Malaysia, Thailand and Vietnam) predominantly engage in emission-intensive trade and an increase in future energy demand and environmental degradation is projected for these countries. We suggest that the implementation of economic and trade policies in future should align with the energy sector. In this respect, renewable energy sources will play a greater role in sustainable growth and development across the countries.Öğe Environmental pollution and agricultural productivity in Pakistan: new insights from ARDL and wavelet coherence approaches(Springer Heidelberg, 2022) Ramzan, Muhammad; Iqbal, Hafiz Arslan; Usman, Muhammad; Ozturk, IlhanThe most serious challenge to the global facade is figuring out how to mitigate pollution levels without compromising agricultural productivity. The spillover effect of environmental change is predicted to be very high, although it will differ by region and crop. Considering this view, this study tries to address this issue by adopting comprehensive methodologies to assess the influence of carbon dioxide (CO2) emissions, agricultural labor, land, feeds, and fertilizers on agricultural productivity in Pakistan from 1961 to 2018. The autoregressive distributive lag (ARDL) and wavelet transform coherence (WTC) approaches are applied to estimate the long-run and short-run elasticity estimates. The empirical findings discover that CO2 emissions, agricultural land, labor, feed, and fertilizers exert high pressure on agricultural productivity which is backed up by the WTC findings. Furthermore, the gradual shift causality test results reveal the presence of a unidirectional causality relationship between all regressors and agriculture productivity, demonstrating that all the factors significantly influence agriculture productivity. Moreover, these findings are robust to different robustness tests that we perform to test the reliability/accuracy of our core results. From policy perspectives, regulations must be developed to explore a practicable expansion strategy that includes the use of efficient fertilizers and feed at optimal levels, as well as environmental protection through public-private investment in the agricultural sector.












