Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China
文献类型:期刊论文
作者 | Cui, Weijia2; Lin, Xueqin2; Wang, Dai1; Mi, Ying1 |
刊名 | LAND |
出版日期 | 2023 |
卷号 | 12期号:1页码:21 |
关键词 | urban industrial carbon efficiency (UICE) spatial evolution characteristics influencing factors EBM model Tobit model China |
DOI | 10.3390/land12010026 |
通讯作者 | Lin, Xueqin(linxueqin@cnu.edu.cn) |
英文摘要 | Based on the EBM-DEA (Explainable Boosting Machine-Data Envelopment Analysis) model, this paper constructs an evaluation model of urban industrial carbon efficiency (UICE), measures and analyzes the spatial evolution characteristics of China's UICE from 2003 to 2016, and analyzes the influencing factors of UICE using the Tobit model. The research draws the following conclusions: (1) China's UICE improved from 2003 to 2016, and the distribution showed a spatial pattern decreasing from the east, central, west, and northeast regions. (2) The UICE, by region, was at an initial low stable level in 2003 and was in the process of moving towards a highly-efficient stable state up until 2016. The differences between regions have been the main aspect which affects the overall variation in UICE in China. (3) There is a logistic curve relationship between the economic development level and UICE. (4) Nationally, the factors that are significantly and positively correlated with UICE are: industrial agglomeration, local fiscal decentralisation, level of economic development, technological progress, industrial enterprises' average size, and industrial diversification. Factors that are significantly negatively correlated with UICE are the level of industrialization, the share of output value of state-owned enterprises in total output value, industrial openness, and environmental regulation. The factors influencing UICE differ depending on the stage of industrialization. |
WOS关键词 | EMISSION EFFICIENCY ; DEA |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000913536200001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/189718] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Lin, Xueqin |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China |
推荐引用方式 GB/T 7714 | Cui, Weijia,Lin, Xueqin,Wang, Dai,et al. Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China[J]. LAND,2023,12(1):21. |
APA | Cui, Weijia,Lin, Xueqin,Wang, Dai,&Mi, Ying.(2023).Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China.LAND,12(1),21. |
MLA | Cui, Weijia,et al."Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China".LAND 12.1(2023):21. |
入库方式: OAI收割
来源:地理科学与资源研究所
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