Does the energy consumption revolution improve the health of elderly adults in rural areas? Evidence from China

Jia, Peng; Zhuang, Jincai; Lucero, Andrea Maria Vaca; Li, Juan

doi:10.1016/j.scitotenv.2021.150755

Cited by 16 publications

(3 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Apart from proving the impact of energy poverty on physical and mental health, this paper also concern about the influencing path of energy poverty on individual physical and mental health, which has not been mentioned in previous literature. Referring to the method used by Jia et al (2021) (Jia et al, 2022), which used CHARLS2018 to study the impact of energy consumption upgrades on physical health, this paper applies the mediation effect and moderating effect model with fixed effects to explore Regarding the choice of the mediating variable M, first of all, physical health and mental health affect each other. Physical discomfort is likely to affect mental health, and mental depression and distortion will also manifest in the body.…”

Section: Mechanism Researchmentioning

confidence: 99%

Assessing the effect of energy poverty on the mental and physical health in China—Evidence from China family panel studies

Xie

Lou

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

Energy poverty is a crucial issue faced by countries all around the world, as the largest developing country in the world, China is also experiencing energy poverty problems. In order to explore the health effect of energy poverty in China, this paper first uses the principal component analysis (PCA) to construct a comprehensive index to measure energy poverty, and then adopts the ordinary least square method (OLS), fixed effect model (FE), instrumental variable two-stage least squares (IV-2SLS) regression to study the impact of energy poverty on the physical and mental health of Chinese people based on China Family Panel Studies 2018 (CFPS 2018). The study discovers that energy poverty significantly hampers the mental and physical health of Chinese people, an increase in energy poverty might cause 28.74%、18.69% decrease in mental and physical health respectively. Moreover, this paper further explores the influencing paths of energy poverty by intermediary effect and regulatory effect. It is revealed that in addition to directly affecting physical and mental health, energy poverty also have a negative impact on physical and mental health by affecting the accessibility of a series of resources, such as water and food, reducing the opportunities for physical exercise and increasing medical expenses. However, the impact is restricted by age and family income. Finally, under the national strategy of China, this paper further discusses how to give consideration to the joint implementation of heath and emission reduction strategies, then gives specific policy suggestions based on the results.

show abstract

Section: Mechanism Researchmentioning

confidence: 99%

Assessing the effect of energy poverty on the mental and physical health in China—Evidence from China family panel studies

Xie

Lou

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…Failure to account for this bias could lead to biased and inconsistent agri‐value chain impact estimates. To address the selectivity bias issues in nonrandomized studies like the present one, some past studies have used propensity score matching (PSM) (Jia et al, 2022; Lu et al, 2021; Wordofa et al, 2021) or inverse probability weighted regression adjustment (IPWRA) methods (Danso‐Abbeam & Baiyegunhi, 2018; Nikam et al, 2022; Zheng & Ma, 2021). However, these methods account for the selectivity bias issue due to only observed factors, ignoring the effects of unobservable factors.…”

Section: Introductionmentioning

confidence: 99%

Welfare implications of participating in agri‐value chains among vegetable farmers in Northern Ghana

Abdul‐Rahaman

Issahaku

2022

Agribusiness

View full text Add to dashboard Cite

This study investigates the welfare implications of agri-value chain participation utilizing data collected from 423 smallholder vegetable farmers in northern Ghana. The endogenous switching regression (ESR) model estimates the determinants of agri-value chain participation and their associated impacts on farmers' welfare, measured by household income and consumption expenditure. The ESR model accounts for selectivity bias associated with observed and unobserved factors. We find that agri-value chain participation improves vegetable farmers' welfare. Participation significantly increases household income and consumption expenditure by about 22% and 40%, respectively. Our results also reveal that agri-value chain participation is significantly determined by education, household size, mobile phone ownership, irrigation, farm size, farmer group membership, and extension visits. Variables such as education, access to irrigation, farm size, access to credit, farmer group membership, and extension are the significant determinants of farmers' welfare [EconLit Citations: D24, Q12, Q18].

show abstract

“…The main contents include analyzing the spatial-temporal stages, types, and modes of transformation [12,13]; measuring rural development degree [9,14]; discussing the influencing factors and mechanisms [15,16]; and conducting optimization policy and strategy research [17]. Some scholars have discussed the impact of rural transformation on the ecological environment, poverty reduction, residents' happiness, and quality of life [18][19][20]. There is an interactive relationship between rural transformation and the agricultural eco-environment, and the deterioration of the agricultural eco-environment poses great challenges to sustainable agriculture [21,22].…”

Section: Introductionmentioning

confidence: 99%

Rural Transformation Driven by Households’ Adaptation to Climate, Policy, Market, and Urbanization: Perspectives from Livelihoods–Land Use on Chinese Loess Plateau

et al. 2022

View full text Add to dashboard Cite

Regional rural systems respond to global environmental change with multi-dimensional transformation. However, in the widespread traditional agricultural areas, rural transformation is often seen as invisible and sometimes remains hidden by official statistics of urbanization and industrialization at a regional level. The study implemented field survey and ethnography methods, exploring the trajectory and driving paths of rural transformation in traditional agricultural areas. The findings indicate that the dominant livelihood experienced a transitional trajectory from traditional farming to jujube-oriented and then to a non-farming livelihood. Furthermore, the land use showed an eco-transformation from farmland to forest land, and from cultivated land gradually to uncultivated land. We also find that the household behaviors actively or passively adapted to environmental effects, such as climate change, market change, urbanization impact, and policy regulation, and then drove non-agricultural transformation and eco-transformation in traditional agricultural areas. Based on these findings, the study confirms that there is a clear rural transformation in traditional agricultural areas, and reveals that the Loess Plateau turned green from bottom to top. Finally, the study calls to take the road of green transformation, and proposals are presented in terms of ecology, livelihood, and industry.

show abstract

Does the energy consumption revolution improve the health of elderly adults in rural areas? Evidence from China

Cited by 16 publications

References 41 publications

Assessing the effect of energy poverty on the mental and physical health in China—Evidence from China family panel studies

Assessing the effect of energy poverty on the mental and physical health in China—Evidence from China family panel studies

Welfare implications of participating in agri‐value chains among vegetable farmers in Northern Ghana

Rural Transformation Driven by Households’ Adaptation to Climate, Policy, Market, and Urbanization: Perspectives from Livelihoods–Land Use on Chinese Loess Plateau

Contact Info

Product

Resources

About