Multi-dimensional poverty measurement for photovoltaic poverty alleviation areas: Evidence from pilot counties in China

Zhang, Huiming; Xu, Zhidong; Wu, Kai; Zhou, Dequn; Wei, Guo

doi:10.1016/j.jclepro.2019.118382

Cited by 32 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scholars have proposed a multidimensional poverty measurement method based on the multidimensionality, region-specificity and dynamic characteristics of poverty [14,15]. A multidimensional poverty index system, which accounts for education, health and living standards, has been constructed [16,17]. Methods, such as the probit regression model [18], first order stochastic dominance method [19] and Back Propagation (BP) neural network model and regression analysis [20], have been utilized to comprehensively measure the extent of multidimensional poverty.…”

Section: Introductionmentioning

confidence: 99%

Impact of the COVID-19 Pandemic on Farm Households’ Vulnerability to Multidimensional Poverty in Rural China

et al. 2021

View full text Add to dashboard Cite

The COVID−19 pandemic has significantly impacted the economy and livelihoods of people worldwide. To analyze the impact of the pandemic on material conditions, income levels, health conditions, industrial development and employment opportunities of farmers in China’s rural areas, especially poor areas and explore whether farmers can achieve stable poverty eradication during the COVID−19 pandemic, we interviewed 2662 farm households in poverty−stricken areas of China and used the multidimensional poverty measurement model, three−step feasible generalized least squares and propensity score matching to analyze data. We achieved the following results. First, the overall level of multidimensional poverty vulnerability index (MPVI) of the surveyed households was low and the MPVI of each dimension varied significantly. The MPVI of households in the treated group was higher than that of the control group. Second, COVID−19 increased farm households’ vulnerability to multidimensional poverty in poverty−stricken regions; MPVI increased by 27.9%. Third, COVID−19′s impact on various dimensions differed: the greatest impact was on the vulnerability to health deprivation, followed by industrial development, employment and income deprivation. However, the pandemic slightly reduced the vulnerability to material deprivation. Finally, we proposed various measures in response to the impact of the pandemic to assist farm households in poverty−stricken areas.

show abstract

Section: Introductionmentioning

confidence: 99%

Impact of the COVID-19 Pandemic on Farm Households’ Vulnerability to Multidimensional Poverty in Rural China

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Wang et al [22] found that SEPAP had good energy efficiency and environmental benefits due to the adoption of the Life Cycle Assessment (LCA) and the Net Energy Analysis (NEA) methods. Zhang et al [23] developed a poverty index incorporating six dimensions to evaluate 30 SEPAP pilot counties. According to them, the multidimensional poverty index of solar PV-based pilot counties showed a general decreasing trend from 2014 to 2016.…”

Section: Literature Reviewmentioning

confidence: 99%

Governance Challenges and Solutions of the Solar Energy for Poverty Alleviation Program in China: The Case of Jinzhai County

Jin

Dimiter

2023

jaes

View full text Add to dashboard Cite

This paper discusses one of China's targeted poverty alleviation programs, namely the Solar Energy for Poverty Alleviation Program (SEPAP). SEPAP is an important and innovative policy that enables poor households to earn additional income by installing solar panels and selling the generated electricity to the grid. However, there are still some doubts regarding the actual effects of SEPAP. Based on the results of 30 semi-structured interviews with village leaders and local government officials in Jinzhai County, China, we explore in-depth the development stages and the types of SEPAP. In addition, we discuss the governance challenges of SEPAP implementation in Jinzhai County, including poor construction quality, maintenance difficulties, inadequate maintenance service, and delays in the payment of government subsidies. We also discuss how the local government has worked together with both the upper levels of government and the poor households to address some of these challenges.

show abstract

“…Policies such as photovoltaic subsidies and the price of photovoltaic electricity for poverty alleviation will affect the income and cash flow of the project, so national policy changes are a key risk factor [6,8,14,24] Land acquisition e location of the PPAP plant may conflict with agricultural and forestry land due to higher requirements for sunlight and grid facilities. e land acquisition may be hindered by environmental assessments, high land acquisition costs, or the lack of a government role [25,26] Imperfect laws e promotion of photovoltaic poverty alleviation is not long, and the legal framework at the national level is still imperfect. Laws are in requisition of perfection to regulate PPAP effectively…”

Section: Unstable Policymentioning

confidence: 99%

A Risk Assessment Framework of Photovoltaic Poverty Alleviation Projects under EPC Mode in China

Chu

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Due to the characteristics of poverty alleviation and cleanness, the photovoltaic poverty alleviation project (PPAP) plays an important role in consolidating the link between poverty alleviation and “rural revitalization” in China, which has attracted the attention of all sectors of society. In practice, EPC (engineering, procurement, and construction) mode is widely used in PPAP, which brings considerable benefits, but also has many risks. To ensure the successful development of the project, it is necessary to carry out risk assessment when selecting the scheme. However, this complex multi-attribute decision-making problem can be improved. First, the risk of PPAP is lack of targeted research; second, the uncertainty in the evaluation process has not been fully solved; third, the method of sorting is unreasonable. To solve these problems, this study establishes the risk assessment framework of PPAP. Firstly, a comprehensive index system suitable for PPAP risk assessment is established, including 5 first-level indexes and 22 second-level indexes. Then, the ANP method based on fuzzy environment is used to determine the weight. Finally, the cloud model and PROMETHEE are combined to select a higher priority solution. Case study and sensitivity analysis prove the robustness and feasibility of the framework. This study puts forward the corresponding risk response measures, to provide reference for the future practice of risk prevention and control.

show abstract

Multi-dimensional poverty measurement for photovoltaic poverty alleviation areas: Evidence from pilot counties in China

Cited by 32 publications

References 29 publications

Impact of the COVID-19 Pandemic on Farm Households’ Vulnerability to Multidimensional Poverty in Rural China

Impact of the COVID-19 Pandemic on Farm Households’ Vulnerability to Multidimensional Poverty in Rural China

Governance Challenges and Solutions of the Solar Energy for Poverty Alleviation Program in China: The Case of Jinzhai County

A Risk Assessment Framework of Photovoltaic Poverty Alleviation Projects under EPC Mode in China

Contact Info

Product

Resources

About