文献类型：期刊文献

英文题名：Differential spatial-temporal responses of carbon dioxide emissions to economic development: empirical evidence based on spatial analysis

作者：Wang, Ke[1];Zhang, Jianjun[1,2];Geng, Yuhuan[3];Xiao, Lianxiang[1];Xu, Ze[1];Rao, Yongheng[1];Zhou, Xiangli[1]

第一作者：Wang, Ke

通讯作者：Zhang, JJ[1];Zhang, JJ[2];Geng, YH[3]

机构：[1]China Univ Geosci, Sch Land Sci & Technol, 29 Xueyuan Rd, Beijing 100083, Peoples R China;[2]Minist Nat Resources, Key Lab Land Consolidat & Rehabil, Beijing 100083, Peoples R China;[3]Beijing Union Univ, Tourism Inst, 99 Beisihuan East Rd, Beijing 100101, Peoples R China

第一机构：China Univ Geosci, Sch Land Sci & Technol, 29 Xueyuan Rd, Beijing 100083, Peoples R China

通讯机构：[1]corresponding author), China Univ Geosci, Sch Land Sci & Technol, 29 Xueyuan Rd, Beijing 100083, Peoples R China;[2]corresponding author), Minist Nat Resources, Key Lab Land Consolidat & Rehabil, Beijing 100083, Peoples R China;[3]corresponding author), Beijing Union Univ, Tourism Inst, 99 Beisihuan East Rd, Beijing 100101, Peoples R China.|[1141732]北京联合大学旅游学院;[11417]北京联合大学;

年份：2020

卷号：25

期号：2

起止页码：237-260

外文期刊名：MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE

收录：;Scopus(收录号：2-s2.0-85067978132);WOS:【SSCI(收录号:WOS:000534960900006)，SCI-EXPANDED(收录号:WOS:000534960900006)】；

基金：This article is funded by the Fundamental research funds for the central university (Grant Number: 2652018042).

语种：英文

外文关键词：CO2 emissions; Income levels; Spatial econometrics; Carbon Kuznets curve; Global scale

摘要：Despite the heated debate over the relationship between economic development and carbon dioxide (CO2) emissions, few studies have focused on the impact of spatial relationships between neighboring countries on CO2 emissions. Adopting the World Bank's classification of income levels, this paper classifies 177 countries into four groups and then analyzes the spatial-temporal variations in CO2 emissions. Based on that analysis, the core task of our study is to estimate a carbon Kuznets curve (CKC) from two methods of traditional statistics and spatial econometrics. The main findings indicate that global CO2 emissions have significant spatial clustering characteristics, and the clustering types are closely linked to geographic location and income level. In addition, the existence of standard CKC and spatial CKC were confirmed. Countries with different income levels have different CO2 emission stages, and a country's CO2 emissions are affected both directly by its own economy and indirectly by the economies of its neighbors. In this context, the mitigation and adaptation strategies for CO2 reduction are proposed as follows. (1) Neighboring countries must develop regional cooperative initiatives to reduce CO2 emissions. (2) Clarifying the emission stage of a country is an important basis for policymakers to formulate emission reduction strategies. (3) The economic development and CO2 emissions of neighboring countries are also important factors in formulating emission reduction plans.