Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.enpol.2019.05.031 |
Socio-economic development and electricity access in developing economies: A long-run model averaging approach | |
Zhang, Tong1; Shi, Xunpeng2,3,4,5; Zhang, Dayong6; Xiao, Junji7 | |
2019-09-01 | |
发表期刊 | ENERGY POLICY
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ISSN | 0301-4215 |
EISSN | 1873-6777 |
出版年 | 2019 |
卷号 | 132页码:223-231 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Australia; Singapore |
英文摘要 | Access to electricity continues to be a popular subject in empirical studies. However, the choice of key factors related to electricity access in the literature to date has been ad hoc due to the lack of a theoretical framework. This paper adopts a Bayesian Model Averaging (BMA) approach to selects important factors related to electricity access from 26 socioeconomic indicators using a sample of 48 developing countries, and reveal their long-term relationship with electricity access. The BMA approach allows us to identify the optimal empirical model when a theoretical foundation is not available. Moreover, it allows us to address the relative importance of variables using posterior inclusion probabilities and thus has clear policy relevance. Our results show that access to finance, education, economic development, infrastructure, and industrialisation are positively related to electricity access in the long-run. Although the long-run relationship does not indicate causality, it shows that to maintain this relationship, policy adjustments against any deviations from the relationship are needed. Our study suggests that electrification needs not only economic, educational and infrastructural development, but also private sector participation, governments' commitment and political will, and integration with poverty reduction and other development schemes. |
英文关键词 | Bayesian model averaging Electricity access Rural electrification Social and economic development Long-run relationship Developing countries |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000483425800023 |
WOS关键词 | RURAL ELECTRIFICATION ; ENERGY POVERTY ; IMPACTS ; DETERMINANTS ; GROWTH ; WELFARE ; JAPAN ; CHINA |
WOS类目 | Economics ; Energy & Fuels ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/186498 |
专题 | 气候变化 |
作者单位 | 1.South China Agr Univ, Natl Sch Agr Inst & Dev, Xian, Shaanxi, Peoples R China; 2.Univ Technol Sydney, Australia China Relat Inst, Sydney, NSW, Australia; 3.Natl Univ Singapore, Energy Studies Inst, Singapore, Singapore; 4.Hubei Univ Econ, Ctr Hubei Cooperat Innovat Emission Trading Syst, Wuhan, Hubei, Peoples R China; 5.Hubei Univ Econ, Sch Low Carbon Econ, Wuhan, Hubei, Peoples R China; 6.Southwestern Univ Finance & Econ, Res Inst Econ & Management, Chengdu, Sichuan, Peoples R China; 7.Univ Technol Sydney, Business Sch, Sydney, NSW, Australia |
推荐引用方式 GB/T 7714 | Zhang, Tong,Shi, Xunpeng,Zhang, Dayong,et al. Socio-economic development and electricity access in developing economies: A long-run model averaging approach[J]. ENERGY POLICY,2019,132:223-231. |
APA | Zhang, Tong,Shi, Xunpeng,Zhang, Dayong,&Xiao, Junji.(2019).Socio-economic development and electricity access in developing economies: A long-run model averaging approach.ENERGY POLICY,132,223-231. |
MLA | Zhang, Tong,et al."Socio-economic development and electricity access in developing economies: A long-run model averaging approach".ENERGY POLICY 132(2019):223-231. |
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