Selection of carbon emissions control industries in China: An approach based on complex networks control perspective

2021 ◽  
Vol 172 ◽  
pp. 121030
Author(s):  
Ying Hu ◽  
Yang Yu ◽  
Abbas Mardani
2016 ◽  
Vol 4 (1) ◽  
pp. 67-91 ◽  
Author(s):  
Steffen Dalsgaard

This article refers to carbon valuation as the practice of ascribing value to, and assessing the value of, actions and objects in terms of carbon emissions. Due to the pervasiveness of carbon emissions in the actions and objects of everyday lives of human beings, the making of carbon offsets and credits offers almost unlimited repertoires of alternatives to be included in contemporary carbon valuation schemes. Consequently, the article unpacks how discussions of carbon valuation are interpreted through different registers of alternatives - as the commensuration and substitution of variants on the one hand, and the confrontational comparison of radical difference on the other. Through the reading of a wide selection of the social science literature on carbon markets and trading, the article argues that the value of carbon emissions itself depends on the construction of alternative, hypothetical scenarios, and that emissions have become both a moral and a virtual measure pitting diverse forms of actualised actions or objects against each other or against corresponding nonactions and non-objects as alternatives.


2015 ◽  
Vol 164 ◽  
pp. 258-270 ◽  
Author(s):  
Andres L. Carrano ◽  
Jennifer A. Pazour ◽  
Debjit Roy ◽  
Brian K. Thorn

Energy Policy ◽  
1991 ◽  
Vol 19 (10) ◽  
pp. 995-1002 ◽  
Author(s):  
S. Sitnicki ◽  
K. Budzinski ◽  
J. Juda ◽  
J. Michna ◽  
A. Szpilewicz

2020 ◽  
Vol 14 (1) ◽  
pp. 213-228 ◽  
Author(s):  
Yuanhua Yang ◽  
Dengli Tang ◽  
Peng Zhang

Purpose Fiscal fund is the key support of carbon emissions control for local governments. This paper aims to analyze the impact of fiscal decentralization on carbon emissions by spatial Durbin model (SDM), and verify the existence of “free-riding” phenomenon to reveal the behavior of local governments in carbon emissions control. Design/methodology/approach Based on the provincial data of carbon emissions from 2005 to 2016 in China, this paper uses spatial exploratory data analysis technology to analyze the spatial correlation characteristics and constructs SDM to test the impact of fiscal decentralization on carbon emissions. Findings The results show that carbon emissions exhibits significant spatial autocorrelation in China, and the increasing of fiscal decentralization in the region will increase carbon emissions in surrounding areas and on the whole. Then, by comparing the impact of fiscal decentralization on carbon emissions and industrial solid waste, it is found that “free-riding” phenomenon of carbon emissions control exists in China. Practical implications Based on the spatial cluster characteristics of China’s provincial carbon emissions, carbon emissions control regions can be divided into regions and different carbon emission control policies can be formulated for different cluster regions. Carbon emissions indicators should be included in the government performance appraisal policy, and carbon emissions producer survey should be increased in environmental policies to avoid “free-riding” behaviors of local government in carbon emissions control in China. Originality/value This paper contributes to fill this gap and fully considers the spatial spillover characteristics of carbon emissions by introducing spatial exploratory data analysis technology, constructs SDM to test the impact of fiscal decentralization on carbon emissions in the perspective of space econometrics, and tests the existence of “free-riding” phenomenon in carbon emissions control for local governments in China.


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