How does the Chinese pilot policy on information consumption affect carbon emissions?

被引:44
作者
Liu, Lina [1 ,2 ]
Chen, Minghao
Wang, Hui [3 ]
Liu, Bei [4 ]
机构
[1] Shandong Normal Univ, Business Sch, Jinan 250358, Peoples R China
[2] Shandong Normal Univ, China Inst Tax Governance, Jinan 250358, Peoples R China
[3] Hunan Univ, Sch Econ & Trade, Changsha 410006, Peoples R China
[4] Nanjing Univ Posts & Telecommun, Sch Management, Nanjing 210003, Peoples R China
基金
中国国家自然科学基金;
关键词
Information consumption pilot policy; Carbon reduction; Difference-in-differences method; Linkage effects; Spatial spillover effects; DIOXIDE EMISSIONS; TRADE; TRANSFORMATION; POPULATION; IMPACTS; ENERGY; GDP;
D O I
10.1016/j.spc.2023.07.030
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The information consumption pilot policy deeply integrates information technology and traditional consumption, providing a strong impetus for China to achieve the strategic goal of "carbon peaking and carbon neutrality." Based on panel data from 280 prefecture-level cities in China from 2006 to 2019, this paper explores the effect of the information consumption pilot (ICP) policy on carbon emissions in China using a difference-indifferences method. The results indicate that: (1) the ICP policy can significantly reduce total carbon emissions and carbon intensity, and this finding remains valid after a series of robustness tests. Furthermore, (2) the results of mechanism analysis show that the ICP policy primarily reduces carbon emissions by promoting technological innovation, empowering industrial transformation, and upgrading. Additionally, (3) heterogeneity analysis reveals that the ICP policy exhibits more pronounced inhibitory effects on carbon emissions and intensity in regions characterized by high levels of network infrastructure development, cities located in the eastern and central, and experiencing high-pollution levels. Conversely, the impact of the ICP policy is not significant in regions with low levels of network infrastructure development, cities situated in the western, and those with lower pollution levels. Finally, (4) there are spatial spillover effects of the ICP policy and policy linkage effects with broadband China policy and big data comprehensive experimental zone policy. This paper's discoveries provide a new perspective for developing countries to achieve carbon emission reduction.
引用
收藏
页码:88 / 106
页数:19
相关论文
共 79 条
[1]  
Ahmad M, 2018, EKON SROD, V2, P32
[2]   THE MODERATOR MEDIATOR VARIABLE DISTINCTION IN SOCIAL PSYCHOLOGICAL-RESEARCH - CONCEPTUAL, STRATEGIC, AND STATISTICAL CONSIDERATIONS [J].
BARON, RM ;
KENNY, DA .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1986, 51 (06) :1173-1182
[3]   Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States [J].
Beck, Thorsten ;
Levine, Ross ;
Levkov, Alexey .
JOURNAL OF FINANCE, 2010, 65 (05) :1637-1667
[4]   Revisiting Event-Study Designs: Robust and Efficient Estimation [J].
Borusyak, Kirill ;
Jaravel, Xavier ;
Spiess, Jann .
REVIEW OF ECONOMIC STUDIES, 2024, 91 (06) :3253-3285
[5]   The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy [J].
Boutabba, Mohamed Amine .
ECONOMIC MODELLING, 2014, 40 :33-41
[6]   Difference-in-Differences with multiple time periods [J].
Callaway, Brantly ;
Sant'Anna, Pedro H. C. .
JOURNAL OF ECONOMETRICS, 2021, 225 (02) :200-230
[7]   THE EFFECT OF MINIMUM WAGES ON LOW-WAGE JOBS [J].
Cengiz, Doruk ;
Dube, Arindrajit ;
Lindner, Attila ;
Zipperer, Ben .
QUARTERLY JOURNAL OF ECONOMICS, 2019, 134 (03) :1405-1454
[8]   New energy demonstration city, spatial spillover and carbon emission efficiency: Evidence from China?s quasi-natural experiment [J].
Chai, Jian ;
Tian, Lingyue ;
Jia, Ruining .
ENERGY POLICY, 2023, 173
[9]   Is digital transformation the Deus ex Machina towards sustainability transition of the European SMEs? [J].
Chatzistamoulou, Nikos .
ECOLOGICAL ECONOMICS, 2023, 206
[10]   Urban carbon transformations: unravelling spatial and inter-sectoral linkages for key city industries based on multi-region input-output analysis [J].
Chen, Guangwu ;
Hadjikakou, Michalis ;
Wiedmann, Thomas .
JOURNAL OF CLEANER PRODUCTION, 2017, 163 :224-240