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China's economy has made significant strides in the past three decades. As a direct result of China's "one belt, one road" (OBOR) initiative, the country's rate of industrialization and urbanization is currently the fastest in the entire world. This rapid development is largely dependent on the enormous amounts of energy currently being consumed and forms the foundation of the world's high levels of carbon emissions. It is generally agreed that the production of greenhouse gases, particularly carbon dioxide, is the primary contributor to the current state of climate change. In this paper, a CO2 emission prediction model based on Bi-LSTM is constructed. In order to conduct empirical tests on the model, this study uses data from South Asian countries and China from 2001 to 2020. China's CO2 emissions from 2022 to 2030 were predicted along with those of other countries in order to study the combined effects of the scientific and technological progress, industrial structures, and energy structure factors affecting CO2 emissions. When compared with the LSTM and GRU methods, the Bi-LSTM model's results produced lower MAE, MSE, and MAPE values, indicating that it performs better. According to the findings, carbon emissions represent a significant problem that will become much worse in the future due to China and India's high emissions, particularly in the next 10 years, if the government does not implement policies that help reduce those emissions. [ABSTRACT FROM AUTHOR]

Global climate change adversities have particularly sparked the urgency in mitigating carbon dioxide emissions across the world. Against this backdrop, the paper attempts to investigate the validity of the carbon dioxide emission-induced Environmental Kuznets Curve (EKC) hypothesis controlling for the impacts of export quality on the economic growth-carbon dioxide emission nexus in the context of selected South Asian economies: Bangladesh, India, Pakistan, Sri Lanka and Nepal. Using annual data from 1972 to 2014, the results from the panel data econometric analyses provide statistical validity to the EKC hypothesis while the country-specific results depict heterogeneity of the findings in this regard. The EKC hypothesis is validated only for Bangladesh and India while in the context of Pakistan the economic growth-carbon dioxide emission nexus portrays a U-shaped association. In contrast, economic growth is found to monotonically decrease carbon dioxide emissions in Sri Lanka and Nepal. Besides, the results from both the panel and time-series analyses suggest that improvement in export quality lead to lower levels of carbon dioxide emissions. Moreover, the statistical significance of the interaction term between economic growth and export quality implies that the overall impacts of economic growth on carbon dioxide emissions are conditional on the quality of the exports. Thus, enhancing the quality of the export products is pertinent with respect to ensuring environmental sustainability across South Asia. [ABSTRACT FROM AUTHOR]