Household-level effects of electricity on income

Bridge, Brandon; Adhikari, Dadhi; Fontenla, Matías

doi:10.1016/j.eneco.2016.06.008

Cited by 57 publications

(26 citation statements)

References 26 publications

(18 reference statements)

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“…The poverty alleviation effect of PV policies in eastern regions is slightly greater than in western regions, and poor counties appear to benefit more from PV poverty alleviation policies than wealthy counties. The sunlight exposure time is positively correlated with the annual rural per capita disposable income, consistent with the Bridge et al 33 , which measure the natural conditions and income with annual global solar radiation and consumption per capita, respectively.…”

Section: Discussionsupporting

confidence: 84%

“…Both sunlight exposure and average solar radiation are the indicators measuring the abundance of natural conditions. Although the average solar radiation is recognized as one of the determinants for the PV productivity, which has been used by Bridge et al 33 , this indicator is unobservable directly and can only be obtained by conversing from the sunlight exposure time. The conversion is complicated that should incorporate a number of meteorological parameters such as cloud and precipitation, etc.…”

Section: Methodsmentioning

confidence: 99%

“…Channels through which household income is affected by the SEPAP. Source: Our own adaptation from Bridge et al33 , Diallo and Moussa 37 , Lenz et al…”

mentioning

confidence: 99%

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Solar photovoltaic interventions have reduced rural poverty in China

Zhang

Qiu

et al. 2020

Nat Commun

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Since 2013, China has implemented a large-scale initiative to systematically deploy solar photovoltaic (PV) projects to alleviate poverty in rural areas. To provide new understanding of China's targeted poverty alleviation strategy, we use a panel dataset of 211 pilot counties that received targeted PV investments from 2013 to 2016, and find that the PV poverty alleviation pilot policy increases per-capita disposable income in a county by approximately 7%-8%. The effect of PV investment is positive and significant in the year of policy implementation and the effect is more than twice as high in the subsequent two to three years. The PV poverty alleviation effect is stronger in poorer regions, particularly in Eastern China. Our results are robust to alternative specifications and variable definitions. We propose several policy recommendations to sustain progress in China's efforts to deploy PV for poverty alleviation.

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Section: Discussionsupporting

confidence: 84%

Section: Methodsmentioning

confidence: 99%

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Solar photovoltaic interventions have reduced rural poverty in China

Zhang

Qiu

et al. 2020

Nat Commun

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“…For instance, the shares of direct HCEs from electricity in Beijing were 71.3% and 58.2% in 2007 for urban and rural household, respectively, and increased to 73.7% and 62.3% in 2012, respectively. An increased level of income or consumption increased the probability of the use of electricity [76,77]. Thus, the result reflects the improvement of the income and living standard of urban and rural household and the widespread use of household electrical appliances with the rapid development of economy.…”

Section: Discussionmentioning

confidence: 87%

Comparing Urban and Rural Household CO2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing

2018

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CO 2 emissions caused by household consumption have become one of the main sources of greenhouse gas emissions. Studying household CO 2 emissions (HCEs) is of great significance to energy conservation and emissions reduction. In this study, we quantitatively analyzed the direct and indirect CO 2 emissions by urban and rural households in Beijing, Tianjin, Shanghai, and Chongqing. The results show that urban total HCEs are larger than rural total HCEs for the four megacities. Urban total per capita household CO 2 emissions (PHCEs) are larger than rural total PHCEs in Beijing, Tianjin, and Chongqing, while rural total PHCEs in Shanghai are larger than urban total PHCEs. Electricity and hot water production and supply was the largest contributor of indirect HCEs for both rural and urban households. Beijing, Tianjin, Shanghai, and Chongqing outsourced a large amount of indirect CO 2 emissions to their neighboring provinces.

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“…Access to energy is one cause of duality in developed and developing countries [37,38]. No country has been able to raise per capita incomes without increasing the use of commercial energy [39,40].…”

Section: Assessing Energy Poverty and Its Implicationmentioning

confidence: 99%

Energy Poverty and Its Implication on Standard of Living in Kirinyaga, Kenya

Njiru¹,

Letema

2018

Journal of Energy

120

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Energy poverty affects physical health, well-being, and ability to prosper. A large proportion of Kenyan population lack access to electricity because they are located far from the national grid where it is uneconomical to extend electricity. This paper assesses energy poverty situation in Kirinyaga and reviews its implication on standard of living. Kirinyaga is a rural county with the main economic activity being agriculture and a few agroprocessing factories. Most rural households in Kirinyaga rely on fuel wood to meet their basic energy requirements and lack access to electricity. Tea factories and educational institutions rely on fuel wood to minimize cost of electricity. Kirinyaga residents, therefore, experience energy poverty as indicated by low electricity access and reliance on traditional cooking fuels. Energy poverty in Kirinyaga has negative impact on indicators of standards of living, calorific intake, life expectancy, and literacy levels.

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Household-level effects of electricity on income

Cited by 57 publications

References 26 publications

Solar photovoltaic interventions have reduced rural poverty in China

Solar photovoltaic interventions have reduced rural poverty in China

Comparing Urban and Rural Household CO2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing

Energy Poverty and Its Implication on Standard of Living in Kirinyaga, Kenya

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