Research on Time–Space Differences in the Prediction of Carbon Peaking of China’s Comprehensive Economic Zones

Yi WANG, Tianxia BIAN, Xianjin HUANG

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Landsc. Archit. Front. ›› 2021, Vol. 9 ›› Issue (6) : 24-43. DOI: 10.15302/J-LAF-1-020056
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Research on Time–Space Differences in the Prediction of Carbon Peaking of China’s Comprehensive Economic Zones

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Abstract

Carbon peaking and carbon neutrality have become key agendas for countries to participate in global climate change governance. Research on China’s carbon peaking has a guidance significance for the actions to achieve a nationwide carbon peaking by 2030. This paper builds a STIRPAT model which, in combination with a scenario -setting method, predicts the carbon peaking time of eight comprehensive economic zones in China, and analyzes the possible path of achieving carbon peaking at national level. The result shows a disparity in carbon peaking time among the zones–there are zones that can achieve carbon peaking under baseline scenario; zones that can achieve carbon peaking under conditional scenarios; and zones that cannot achieve carbon peaking under any scenario. In the first group, the zones can achieve carbon emission through both active path (southwest and eastern coastal comprehensive economic zones) and passive path (northeast comprehensive economic zones) according to characteristics of regional socio-economic development. The second group includes two economic anchors (northern coastal and southern coastal comprehensive economic zones) and an energy-exporting center (the middle reaches of Yellow River comprehensive economic zone). Zones in the third group generally witness a late development (the middle reaches of Yangtze River and northwest comprehensive zones). Based on characteristics of regional economy, population, industry, and energy of each zone, this paper proposes an initiative that the achievement of a nationwide carbon peaking should take regional development equity into consideration, and presumes that making each zone adopts differentiated peaking strategies may have a stronger effectiveness in controlling carbon emission growth than making all zones adopt strategies constraining on single factors on industry or energy.

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Carbon Peaking / STIRPAT Model / Scenario Analysis / Regional Difference / Eight Comprehensive Economic Zones / Carbon Emission Intensity

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Yi WANG, Tianxia BIAN, Xianjin HUANG. Research on Time–Space Differences in the Prediction of Carbon Peaking of China’s Comprehensive Economic Zones. Landsc. Archit. Front., 2021, 9(6): 24‒43 https://doi.org/10.15302/J-LAF-1-020056

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