Exploring the participation willingness and potential carbon emission reduction of Chinese residential green electricity market

被引:20
作者
Lin, Boqiang [1 ]
Qiao, Qiao [1 ]
机构
[1] Xiamen Univ, China Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Policy, Sch Management, Xiamen 361005, Peoples R China
基金
中国国家自然科学基金;
关键词
Willingness; -to; -pay; Renewable electricity; Carbon reduction; Green electricity trading; CVM; Welfare loss; TO-PAY; RENEWABLE ENERGY; REDUCED-FORM; MODELS; INTENTION; INTERNET; US;
D O I
10.1016/j.enpol.2023.113452
中图分类号
F [经济];
学科分类号
02 ;
摘要
China officially established a green electricity trading market in 2021. This study investigated the intention of Chinese households to participate in the green electricity tariff and surveyed their acceptable maximum premium; afterwards, the corresponding potential carbon emission reduction is evaluated. The survey shows that 82% of Chinese households support the additional willingness-to-pay (WTP) for green electricity. The mean willingness-to-pay values without protest-zeros are evaluated as RMB14.6 with a gender differential that men prefer to pay more than women. Relative impact factors analysis shows that household' intention of using greene significantly impacts their participation in extra WTP, but households' income does not show a significant effect. On the other hand, the model for extra expenditure shows the opposite effect of these two factors. Last, the study conducted a scenario analysis to evaluate the potential emission reduction and related welfare transformation efficiency. The scenario analysis reveals that households' green electricity trading potentially contributes to 30%-54% of the carbon reduction and a reasonable trading mechanism could achieve emission reductions goal with less welfare loss. Finally, some policy implications are proposed, providing theoretical support for policy-makers.
引用
收藏
页数:11
相关论文
共 52 条
[1]   Small-scale households renewable energy usage intention: Theoretical development and empirical settings [J].
Alam, Syed Shah ;
Hashim, Nik Hazrul Nik ;
Rashid, Mamunur ;
Omar, Nor Asiah ;
Ahsan, Nilufar ;
Ismail, Md Daud .
RENEWABLE ENERGY, 2014, 68 :255-263
[2]   Household willingness to pay for green electricity in urban and peri-urban Tigray, northern Ethiopia: Determinants and welfare effects [J].
Arega, Tiruwork ;
Tadesse, Tewodros .
ENERGY POLICY, 2017, 100 :292-300
[3]  
Arrow K., 1993, FED REGISTER, V58, P4601, DOI DOI 10.1002/QJ.49703213905
[4]   Valuing energy poverty costs: Household welfare loss from electricity blackouts in developing countries [J].
Aweke, Abinet Tilahun ;
Navrud, Stale .
ENERGY ECONOMICS, 2022, 109
[5]   Towards carbon free economy and electricity: The puzzle of energy costs, sustainability and security based on willingness to pay [J].
Balezentis, Tomas ;
Streimikiene, Dalia ;
Mikalauskas, Ignas ;
Shen, Zhiyang .
ENERGY, 2021, 214
[6]   Are carbon pricing policies on a path to failure in resource-dependent economies? A willingness-to-pay case study of Canada [J].
Benjamin, Emmanuel O. ;
Hall, Daniel ;
Sauer, Johannes ;
Buchenrieder, Gertrud .
ENERGY POLICY, 2022, 162
[7]   The advent of Internet surveys for political research: A comparison of telephone and Internet samples [J].
Berrens, RP ;
Bohara, AK ;
Jenkins-Smith, H ;
Silva, C ;
Weimer, DL .
POLITICAL ANALYSIS, 2003, 11 (01) :1-22
[8]  
Calia P., 2005, SSRN ELECT, DOI [10.2139/ssrn.200620, DOI 10.2139/SSRN.200620]
[9]   Winding down the wind power curtailment in China: What made the difference? [J].
Chen, Hao ;
Chen, Jiachuan ;
Han, Guoyi ;
Cui, Qi .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 167
[10]   Determinants of changes in electricity generation intensity among different power sectors [J].
Cheng, Shulei ;
Wu, Yinyin ;
Chen, Hua ;
Chen, Jiandong ;
Song, Malin ;
Hou, Wenxuan .
ENERGY POLICY, 2019, 130 :389-408