Energy out-of-poverty and inclusive growth: Evidence from the China health and nutrition survey

Huang, Liqing; Zhu, Bangzhu; Ping, Wang; Chevallier, Julien

doi:10.1016/j.strueco.2021.12.004

Cited by 10 publications

(4 citation statements)

References 38 publications

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“…Huang et al proposed a new empirical framework for inclusive growth estimation by extending the traditional Mincer model. The results confirmed the significant impact of energy poverty alleviation on inclusive income growth [69].…”

Section: Inclusive Growth and Its Measurementsupporting

confidence: 72%

Measurement and Spatial-Temporal Characteristics of Inclusive Green Growth in China

Zhou

2022

Land

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In the context of the widely recognized concept of inclusive green growth, it is of great practical significance to study the measurement of inclusive green growth, its temporal characteristics and its spatial heterogeneity. However, it should be noted that most existing studies only consider the situation of China when constructing inclusive green growth indices, and such studies lack international comparators. The index selection dimension is relatively single, and the temporal characteristics and spatial heterogeneity are rarely studied simultaneously. In this study, a spatial correlation analysis method is introduced, and the time series characteristics and spatial heterogeneity of inclusive green growth are deeply analyzed by means of a Moran’ I and LISA agglomeration diagram. The results show that: (1) Economic development, fair opportunity, green production and consumption and ecological environment protection are important factors affecting the level of inclusive green growth, but their development is not balanced; (2) Inclusive green growth has obvious time series characteristics, but there are great differences between provinces and regions; (3) The inclusive green growth has significant spatial heterogeneity. From 2010 to 2019, the inclusive green growth level has a dynamic evolution process. Moran’s I Index Global Spatial Test results show that inclusive green growth has obvious spatial autocorrelation, that is, it has great spatial differences. Local spatial test results also show that the inclusive green growth in China has obvious spatial aggregation characteristics. Therefore, it is important to coordinate the development of inclusive green growth between provinces and regions and improve the overall level of inclusive green growth in the future.

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Section: Inclusive Growth and Its Measurementsupporting

confidence: 72%

Measurement and Spatial-Temporal Characteristics of Inclusive Green Growth in China

Zhou

2022

Land

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“…The study by Liang and Lu (2017) is similar to the study by Zhao et al and aims to measure energy poverty rates in China. Huang et al (2022) conducted a study that aims to measure the impact of energy poverty on people's incomes unlike other studies conducted in China. As a result, it was understood that a decrease in the energy poverty rate accelerates economic growth.…”

Section: South African Countriesmentioning

confidence: 99%

“…Energy poverty, according to Ogwumike and Ozughalu (2016), Ahmed andGasparatos (2020), andBazilian et al (2012), has a detrimental effect on economic growth. Selcuk et a l (2019), , Vermaak et al (2009), El-Katiri (2014), Nathan and Hari (2020), Jayasinghe et al (2021), Huang et al (2022), Olang et al (2018), Bouzarovski et al(2012, Tait (2017), Ssennono et al (2021) and Piwowar (2020) conclude that low-income households are more likely to face energy poverty. Israel-Akinbo et al (2021), Sokolowski (2020), Barnes et al (2011) and Nduka (2021) explain that rural households are more affected by energy poverty than other households.…”

Section: South African Countriesmentioning

confidence: 99%

A Review of Literature on Measuring Energy Poverty

ISAZADE,

ALTAN

2023

Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi

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This article analyzes the studies on energy poverty and its measurement between 2004 and 2022. A search of the Web of Science database with the keyword "energy poverty measurement" yielded 195 articles, among which 69 articles were found. In the study, first of all, information about the definition of energy poverty, the problems it causes and its determining criteria. In the next step, other determinants of energy poverty are explained with the help of graphs and tables. In the methodology section, the articles are analyzed in detail according to the economic development of the countries and the measurement models used. Finally, conclusions and recommendations are presented and future work is suggested to find a universally accepted measurement model.

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“…Its multidimensional nature affects various aspects of life, including livelihoods, migration to urban areas, crime rates, and population growth, while rural areas often lack optimal development (Wang, Wang, Li, & Luo, 2021). Poverty's complexity further compounds as it intertwines with critical factors like health, education, happiness, and the equitable distribution of economic growth (Banerjee, Mishra, & Asfaw, 2021;L. Huang, Zhu, Wang, & Chevallier, 2021;Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Distribution economics analysis of government interventions in poverty reduction amid the COVID-19 pandemic in Klungkung Regency, Indonesia

Marhaeni,

Sudibia,

Tirtayani

et al. 2024

JEBL

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Amid the pursuit of sustainable development goals in Indonesia, with a keen align- ment with the Sustainable Development Goals (SDGs), the pressing issue of poverty alleviation looms large. This study, set in Klungkung Regency, aims to comprehen- sively understand and address key facets of poverty alleviation during the COVID- 19 pandemic. The primary objective of this research is to investigate the impact of the COVID-19 pandemic on the depth of poverty in Klungkung Regency, Indone- sia. To achieve these objectives, our research involved the selection of 37 mainland Klungkung’s villages as our study area. We collected data from a diverse sample of 296 respondents, employing a combination of sampling methods, including acci- dental, snowball, and purposive sampling. Our findings reveal a significant increase in poverty levels among respondents attributable to the COVID-19 pandemic, with discernible variations across different sectors. Notably, agricultural laborers demon- strated greater resilience compared to their non-agricultural counterparts. Crucially, the government’s interventions emerged as pivotal, leading to an enhancement in purchasing capacity among beneficiaries. In terms of implications, this study un- derscores the critical importance of precisely targeted government interventions in poverty alleviation during crises. It highlights the need for policies that focus on both short-term relief and long-term economic stability.

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Energy out-of-poverty and inclusive growth: Evidence from the China health and nutrition survey

Cited by 10 publications

References 38 publications

Measurement and Spatial-Temporal Characteristics of Inclusive Green Growth in China

Measurement and Spatial-Temporal Characteristics of Inclusive Green Growth in China

A Review of Literature on Measuring Energy Poverty

Distribution economics analysis of government interventions in poverty reduction amid the COVID-19 pandemic in Klungkung Regency, Indonesia

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