The ‘vicious cycle’ of energy poverty and productivity: insights from 45 developing countries

被引:0
作者
Canh Phuc Nguyen
Thanh Dinh Su
机构
[1] University of Economics Ho Chi Minh City,School of Public Finance
来源
Environmental Science and Pollution Research | 2021年 / 28卷
关键词
Productivity; Total factor productivity; Energy poverty; Human capital; Internet usage; Developing countries; O13; Q43; E24; J24; O17; O40; L86; Q01;
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中图分类号
学科分类号
摘要
This study is the first proper attempt to examine the influence of energy poverty on productivity. Specifically, the study investigates the effects on the level and convergence of total factor productivity of no access to clean fuels and technologies for cooking; no access to electricity in the total population; no access to electricity in the rural population; no access to electricity in the urban population; non-renewable electricity production; and non-renewable electricity consumption. The study examines a global sample of 45 developing countries from 2002 to 2017 and offers three empirical analysis findings. First, the mutual causalities between the five dimensions of energy poverty and total factor productivity are shown by a non-Granger causality test for panel data, except one-direction causality from no access to clean fuels and technologies for cooking to total factor productivity convergence, which hints a ‘vicious cycle’ of two variables. Second, the two-step system generalised method of moments estimates show significant negative impacts of no access to clean fuels and technologies for cooking and the three variables of no access to electricity on total factor productivity. In contrast, the production and consumption of non-renewable electricity appear to have significant positive effects. Third, the three-stage least squares estimates provide statistical evidence that the effects of energy poverty on total factor productivity are transmitted through human capital accumulation, Internet usage, and the shadow economy.
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页码:56345 / 56362
页数:17
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共 162 条
[1]  
Adenikinju AF(1998)Productivity growth and energy consumption in the Nigerian manufacturing sector: a panel data analysis Energy Policy 26 199-205
[2]  
Adetutu MO(2020)The impact of domestic and foreign R&D on agricultural productivity in sub-Saharan Africa World Dev 125 104690-52
[3]  
Ajayi V(2017)Threshold effects of human capital: schooling and economic growth Econ Lett 156 48-31635
[4]  
Ahsan H(2020)How does energy poverty affect economic development? A panel data analysis of South Asian countries Environ Sci Pollut Res 27 31623-82
[5]  
Haque ME(1982)Formulation and estimation of dynamic models using panel data J Econ 18 47-297
[6]  
Amin A(1991)Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations Rev Econ Stud 58 277-51
[7]  
Liu Y(1995)Another look at the instrumental variable estimation of error-components models J Econ 68 29-1755
[8]  
Yu J(2016)The effects of Greenfield FDI and cross-border M&As on total factor productivity World Econ 39 1728-708
[9]  
Chandio AA(2020)Ethnic diversity, energy poverty and the mediating role of trust: evidence from household panel data for Australia Energy Econ 86 104663-252
[10]  
Rasool SF(2020)Fuel poverty and subjective wellbeing Energy Econ 86 104650-30