A hierarchical SBM-Tobit approach for examining the influencing factors of industrial CO 2 emission efficiency in the Yangtze River Delta

Q3 Economics, Econometrics and Finance

International Journal of Applied Decision Sciences Pub Date : 2018-12-06 DOI:10.1504/IJADS.2018.10011840

Jie Zhang, Mei Yang, Zhencheng Xing

引用次数: 2

Abstract

As the most developed region, the Yangtze River Delta (YRD) has been one of the largest CO2 emitters in China. Chinese Government has proposed the concept of YRD urban agglomeration to improve its competitiveness. To this end, we evaluate industrial CO2 emission efficiency (ICEE) of 26 cities in YRD and its space-time distribution during 2006-2015 by applying SBM-undesirable model and the method of GIS visualisation respectively. Moreover, we used Tobit model to study factors influencing ICEE. The results are as follows: 1) ICEE of YRD increases in fluctuation during our study period; 2) there is a spatial cluster in the distribution of ICEE; 3) the proportion of industrial research and development funds to regional GDP (R&D), population size (PS) and the degree of opening up to the outside world (OPEN) positively influence the ICEE, while industrial energy structure (IES) and the actual use of foreign direct investment (FDI) negatively do.

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基于SBM-Tobit层次分析法的长江三角洲工业CO2排放效率影响因素研究

作为最发达的地区，长江三角洲一直是中国最大的二氧化碳排放国之一。中国政府提出了长江三角洲城市群的概念，以提高其竞争力。为此，我们分别应用SBM不期望模型和GIS可视化方法，对2006-2015年长江三角洲26个城市的工业CO2排放效率及其时空分布进行了评估。此外，我们使用Tobit模型来研究影响ICEE的因素。研究结果如下：1）研究期间，YRD的ICEE波动性增大；2） ICEE的分布存在空间聚类；3）工业研发资金占地区GDP的比例（R&D）、人口规模（PS）和对外开放程度（OPEN）对ICEE有正向影响，而工业能源结构（IES）和实际利用外国直接投资（FDI）则对ICEE产生负向影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Applied Decision Sciences Decision Sciences-Information Systems and Management

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： IJADS is a double-blind refereed international journal whose focus is to promote the infusion of the functional and behavioural areas of business with the concepts and methodologies of the decision sciences and information systems. IJADS distinguishes itself as a business journal with an explicit focus on modelling and applied decision-making. The thrust of IJADS is to provide practical guidance to decision makers and practicing managers by publishing papers that bridge the gap between theory and practice of decision sciences and information systems in business, industry, government and academia. Papers published in the journal must contain some link to practice through realistically detailed examples or real applications.