The Spatial Intercorrelation of Global Carbon Dioxide Emissions: An Empirical Verification of China’s Impacts by Spatial Durbin Panel Data Model

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Towards Implementation of Sustainability Concepts in Develo** Countries

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Abstract

As the “Going Out” strategy has been introduced after WTO accession and post-crisis era, besides the economic effects, outward foreign direct investment (OFDI) from China has been boomed, along with its boosted foreign trade during industrial upgrading. However, these efforts have been found to cause significant global environmental issues, which have been rarely mentioned and discussed systematically, especially from the perspective of spatial intercorrelation between environment and cross-border investment, international trade, institutional factors, and rising environmental impacts from China. On that basis, this study is conducted by the spatial econometric models in a macroeconomic panel of 146 countries and regions in 2003–2016 to empirically delve into the spatial intercorrelation and third-country effects of carbon dioxide (CO2) emissions per capita among the observed areas, under China's impacts. The empirical results first confirm the existence of spatial autocorrelation for CO2 emissions per capita by Moran's I statistic, suggesting that an interregional prevention system is supposed to be implemented to sufficiently reduce global CO2 emissions. Furthermore, as suggested by the spatial Durbin model, local government should show a close economic relationship with neighboring countries to attract spatial spillover effects of China's OFDI and then develop a multinational economic partnership that enables the high level of technology and human capital to move freely, as an attempt to lower the level of CO2 emissions in a whole range. Moreover, political and resource and energy purposes in the foreign investment and trade activities of Chinese government and multinationals should be progressively limited, and economic cooperation with more developed markets in a higher degree of environmental regulations and standards involved in a coordinated multilateral agreement should be conducted for sustainability and global emission reduction

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This paper did not receive any specific grant from funding agencies in the public, commercial, or non-profit sectors.

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Song, Z. (2021). The Spatial Intercorrelation of Global Carbon Dioxide Emissions: An Empirical Verification of China’s Impacts by Spatial Durbin Panel Data Model. In: Alalouch, C., Piselli, C., Cappa, F. (eds) Towards Implementation of Sustainability Concepts in Develo** Countries. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-74349-9_24

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