Fiscal decentralization and economic growth revisited: an empirical analysis of poverty governance

Song, Junxiu; Geng, Linling; Fahad, Shah; Liu, Lingcai

doi:10.1007/s11356-021-18470-7

Cited by 38 publications

(21 citation statements)

References 14 publications

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“…Following the previous research studies (Song et al, 2022), considering the reality of China's agricultural development and the availability of data, this paper intends to build the following model to measure the climate change impact on agricultural productivity:…”

Section: Establishment Of Regression Modelmentioning

confidence: 99%

Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches

Bai

Yang

et al. 2022

IJCCSM

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Purpose Global climate change characterized by an increase in temperature has become the focus of attention all over the world. China is a sensitive and significant area of global climate change. This paper specifically aims to examine the association between agricultural productivity and the climate change by using China’s provincial agricultural input–output data from 2000 to 2019 and the climatic data of the ground meteorological stations. Design/methodology/approach The authors used the three-stage spatial Durbin model (SDM) model and entropy method for analysis of collected data; further, the authors also empirically tested the climate change marginal effect on agricultural productivity by using ordinary least square and SDM approaches. Findings The results revealed that climate change has a significant negative effect on agricultural productivity, which showed significance in robustness tests, including index replacement, quantile regression and tail reduction. The results of this study also indicated that by subdividing the climatic factors, annual precipitation had no significant impact on the growth of agricultural productivity; further, other climatic variables, including wind speed and temperature, had a substantial adverse effect on agricultural productivity. The heterogeneity test showed that climatic changes ominously hinder agricultural productivity growth only in the western region of China, and in the eastern and central regions, climate change had no effect. Practical implications The findings of this study highlight the importance of various social connections of farm households in designing policies to improve their responses to climate change and expand land productivity in different regions. The study also provides a hypothetical approach to prioritize developing regions that need proper attention to improve crop productivity. Originality/value The paper explores the impact of climate change on agricultural productivity by using the climatic data of China. Empirical evidence previously missing in the body of knowledge will support governments and researchers to establish a mechanism to improve climate change mitigation tools in China.

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Section: Establishment Of Regression Modelmentioning

confidence: 99%

Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches

Bai

Yang

et al. 2022

IJCCSM

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“…From the perspective of parental health behaviors, the length of sleep at night, the length of lunch breaks, alcohol use, and physical examinations had significant effects on parents' health. Having an extended lunch break reduced parental depression (depressed), but this effect was significant only statistically and not economically ( 42 – 44 ). There was heterogeneity in the influence of physical examinations on the health of the parents.…”

Section: Further Analysismentioning

confidence: 96%

Rural migration, governance, and public health nexus: Implications for economic development

Yang

Fahad

2022

Front. Public Health

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With the deepening of rural aging and the increasing role of human capital in the non-agricultural employment labor market, this paper uses the data of China Health and Retirement Longitudinal Study (CHARLS), ordinary least squares (OLS) and instrumental variable method (IV) to try to examine the impact of rural migrant workers' education on their parents' health. Since a rural family may include more than one child, a sample of migrant workers with a high education level is used in the benchmark regression, and a sample of migrant workers with a low education level is used to test the robustness of the relationship. The results showed that the education of migrant workers had a significant positive impact on parents' health. The sample with the least education was used for the robustness, and the results did not change. The IV-probit method is used to address potential endogeneity, and the results remain stable. Heterogeneity analysis shows that there are significant differences in the impact of migrant workers' education on the health of parents from different groups. This positive effect has a greater impact on the health of parents who are older, less educated, and do not live with their children. Mediation analysis shows that children's economic ability, captured by income and work type, and their parents' health behavior, captured by sleep, alcohol consumption, and physical examinations, mediate this relationship. Thus, migrant workers' education affects their parents' health mainly through relaxing budget constraints and improving their parents' health production efficiency. In addition, this paper also found that education of migrant workers may significantly increase parental depression. Based on the above analysis, this paper argues that increasing investment in rural education is conducive to improving the health of migrant farmers' parents, thereby promoting the transfer of rural labor to non-agricultural industries and cities, curbing the rapid rise in labor costs, and promoting the healthy development of the economy.

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“…Sustainable livelihood approach (SLA) gives a better understanding of the livelihoods of poor households. It is a multidimensional, integrated, and rational approach to eradicating poverty, showing the variety of activities people usually do to earn a living, from which an overview can be drawn on human livelihood activities (Song et al 2022a;Song et al 2022b;Kamaruddin and Samsudin 2014;Su et al 2021b). Poverty identification focuses primarily on individuals/households or regions of varying dimensions.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the status of multidimensional poverty of rural households by using sustainable livelihood framework: policy implications for economic growth

Fahad

Nguyen-Thi-Lan

Nguyen-Manh

et al. 2022

Environ Sci Pollut Res

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Poverty is a multifaceted and location-based issue that cannot be quantified using monetary metrics alone. This study aims to evaluate the multidimensional poverty status of poor households in Ha Giang province, Vietnam, by using the DFID (Department for International Development) sustainable livelihood framework, an integrating technique for spatial recognition of multidimensional poverty, was developed and deployed to conduct a county-level poverty assessment in rural Vietnam. The multidimensional poverty standard is considered a novel approach to assess poverty, identify causes of poverty, and encourage poor households to sustainably escape poverty. A household survey was conducted in three rural districts, namely Dong Van, Hoang Su Phi, and Bac Quang in Ha Giang province, Vietnam, during 2016 to 2021. The results of the study show that surveyed households are deficient in all five main sources of livelihood, in which the three most deficient capital sources are natural capital, social capital, and financial capital. The findings revealed that the majority of farming households were classified as multidimensionally poor. The multidimensionally poor regions were not only poorer in single-dimensional and aggregate ratings than the income-poor and recognized poor regions, but they also had several vulnerabilities and insecurity. The assessment of multidimensional poverty, by distinguishing the poor, marginalized, and dispossessed dimensions, should be extremely beneficial for each region to design and execute poverty reduction programs accordingly, and it would contribute to improving the persistence of alleviating poverty. The article also proposes a number of sustainable poverty reduction measures, in which the root is to improve the spirit of self-raising to escape poverty of households.

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Fiscal decentralization and economic growth revisited: an empirical analysis of poverty governance

Cited by 38 publications

References 14 publications

Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches

Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches

Rural migration, governance, and public health nexus: Implications for economic development

Analyzing the status of multidimensional poverty of rural households by using sustainable livelihood framework: policy implications for economic growth

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