How Do Chinese Residents Expect of Government Subsidies on Solar Photovoltaic Power Generation?—A Case of Wuhan, China
Liping Ding (),
Fan Zhang () and
Jing Shuai ()
Additional contact information
Liping Ding: School of Economics and Management, Mineral Resource Strategy and Policy Research Center of China, China University of Geosciences, Wuhan 430074, Hubei, China
Fan Zhang: School of Economics and Management, Mineral Resource Strategy and Policy Research Center of China, China University of Geosciences, Wuhan 430074, Hubei, China
Jing Shuai: School of Economics and Management, Mineral Resource Strategy and Policy Research Center of China, China University of Geosciences, Wuhan 430074, Hubei, China
Energies, 2018, vol. 11, issue 1, 1-11
This paper investigates local residents’ expectations of the Chinese government subsidies on solar photovoltaic (PV) power generation. Residents’ demographics including age, educational attainment, income level, gender, and employment fields are analyzed based on a survey study in Wuhan, China. Results of the regression analysis on the influence of demographic variables on residents’ expectations indicate that: (1) residents with different demographics have significantly different expectations of the Chinese government subsidies for adopting PV power generation facilities; (2) income, education attainment, and residents’ employment fields have a significant impact on their expectations of government subsidies. With these findings, this paper concludes with useful policy implications.
Keywords: solar energy; photovoltaic power generation; renewable energy; government subsidy; China (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:1:p:228-:d:127584
Access Statistics for this article
Energies is currently edited by Prof. Dr. Enrico Sciubba
More articles in Energies from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().