How Does Targeted Poverty Alleviation Policy Influence Residents’ Perceptions of Rural Living Conditions? A Study of 16 Villages in Gansu Province, Northwest China

Wang, Meimei; Yang, Yongchun; Bo, Zhang; Liu, Mengqin; Liu, Qing

doi:10.3390/su11246944

Cited by 15 publications

(10 citation statements)

References 40 publications

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“…The number of rural people living in poverty dropped from 770 million in 1978 to 30.46 million at the end of 2017, and the incidence of poverty dropped from 97.5% to 3.1% [1]. Although the Chinese government has spared no effort to eliminate poverty, many households still experience extreme poverty [2]. Besides, economic growth in the price of the rising income inequality, widening urban-rural disparity, and environmental pollution [3][4][5][6] has raised concerns on the sustainability of government-led, investment-driven growth pattern.…”

Section: Introductionmentioning

confidence: 99%

How Does the Composition of Asset Portfolios Affect Household Consumption: Evidence from China Based on Micro Data

Han

2020

Sustainability

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To pursue sustainable and balanced economic development, it is urgent to transform the economic development models from investment-driven to consumption-led. Factors underlying the consumption pattern of households in China, especially the rising wealth and its impact, deserve special attention from both policy makers and academic researchers. This paper aims to investigate how asset portfolios, consisting of housing asset, financial asset, production asset, durable asset, and vehicle asset affect consumption behavior based on household panel data. It is proved that the composition of asset portfolios significantly affects consumption of households. Asset levels and asset prices have positive influences on household consumption. Furthermore, various household assets have different impacts on household consumption patterns, divided into living type, developing type, and enjoying type of consumption, especially there is a larger wealth effect on developing type of consumption. More importantly, it shows a pattern of urban and rural dual economic structure. The disparity is even higher from a wealth perspective. The availability to wealth is of great importance. Therefore, the findings suggest inclusive financial reforms to create conditions for promoting property income and facilitating financial capacity of households, which is necessary for policy formation of Chinese economic transition.

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Section: Introductionmentioning

confidence: 99%

How Does the Composition of Asset Portfolios Affect Household Consumption: Evidence from China Based on Micro Data

Han

2020

Sustainability

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“…Targeted poverty alleviation requires constitutive revolutions on the agricultural supply side. The utilization rate of poverty alleviation funds in rural areas is not high, because some areas have failed to reasonably study the poverty status in order to obtain quotas in poor areas and cannot accurately implement specific poverty alleviation projects [17]. The supply-side constitutive revolution should optimize the supply pattern of poverty alleviation when adjusting the structure, increase effective supply and improve the quality of supply, and increase the utilization rate of targeted poverty alleviation funds.…”

Section: Targeted Poverty Alleviation In the Context Of Agriculturalmentioning

confidence: 99%

Digital Technology Boosting Agricultural Supply-Side Constitutive Revolution in Poor Areas Based on the Intelligent Environment of the Internet of Things

Wang

Yang

2022

Wireless Communications and Mobile Computing

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China is a big agricultural country, and China’s agricultural development is related to the development of the country. Especially in poor rural areas, the development of agriculture still stays at low-level manual farming. Therefore, with the help of the developed Internet of Things technology, it is necessary for digital technology to develop and reform the rural areas in poverty-stricken areas. This paper aims to promote the supply-side structural revolution of agriculture in poverty-stricken areas by digital technology based on intelligent environment of Internet of Things. Firstly, the KNN intelligent algorithm is improved to improve the accuracy and reduce the time complexity. Then, based on the data support of Internet of Things technology, a prediction model is built, and the parameters are optimized by particle swarm optimization, and finally the best prediction model with high prediction accuracy, good stability and reduced prediction time complexity is obtained. Taking the source area of the Danjiang River in the South-to-North Water Transfer Project as the research object, the total grain output and soybean production demand in this area from 2010 to 2018 were selected, and the change trend of soybean production and demand in this area from 2019 to 2021 was predicted. The experimental data show that the soybean output in this region has increased year by year, with a cumulative increase of 6,985.4 tons from 2010 to 2018. Soybean output sometimes exceeds demand, and sometimes it is less than demand. There will be an oversupply situation in 2019 and 2021, and an oversupply situation in 2020. Therefore, the prediction model of Internet of Things can effectively predict the supply and demand situation of soybean with an accuracy rate of over 90%, which can provide data support for the decision-making of structural change of agricultural supply side in poverty-stricken areas.

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“…Because of the different ways and effects of these factors on poverty, it leads to spatial patterns of poverty in Guizhou Province. If poverty is influenced by a single dominant factor, then its mechanism can easily be delineated [64][65][66][67]. However, in reality, the occurrence of poverty is often the result of a variety of factors; thus, it is necessary to pay attention to the combination of different measures to implement a comprehensive policy of poverty alleviation.…”

Section: Mechanisms Of How Dominant Factors Influence the Spatial Pat...mentioning

confidence: 99%

Understanding the Relationship between Dominant Geo-Environmental Factors and Rural Poverty in Guizhou, China

Ge¹,

Ren²,

Fu³

2021

IJGI

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Geo-environmental factors are believed to be major determinants of rural poverty. However, few studies have quantified the effects of these factors on rural poverty in China. In this paper, we used county-level poverty incidence data and geo-environmental factors to explore spatial patterns of the incidence of poverty using global and local spatial autocorrelation analysis and to investigate the effect of geo-environment factors on rural poverty using a geo-detector model. Our results demonstrated that there was spatial clustering of the incidence of poverty in the study area. The incidence of poverty decreased from south to north and from the east and west to the central area. The incidence of high–high poverty areas was mainly distributed in the southeast of Guizhou Province and the incidence of low–low poverty areas was distributed in the northeast. The results also demonstrated that percentage of effective irrigation on arable land, slope, elevation and vegetation cover were the dominant factors explaining the spatial pattern of poverty. Interaction analysis demonstrated that the slope non-linearly enhanced the percentage of effective irrigation on arable land. Our findings suggested that geo-environment is the fundamental control factor explaining the spatial pattern of rural poverty in China. Through analysis of the impact of the geo-environment on the spatial pattern of poverty, this study provides a reference for effectively implementing targeted alleviation of poverty.

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How Does Targeted Poverty Alleviation Policy Influence Residents’ Perceptions of Rural Living Conditions? A Study of 16 Villages in Gansu Province, Northwest China

Cited by 15 publications

References 40 publications

How Does the Composition of Asset Portfolios Affect Household Consumption: Evidence from China Based on Micro Data

How Does the Composition of Asset Portfolios Affect Household Consumption: Evidence from China Based on Micro Data

Digital Technology Boosting Agricultural Supply-Side Constitutive Revolution in Poor Areas Based on the Intelligent Environment of the Internet of Things

Understanding the Relationship between Dominant Geo-Environmental Factors and Rural Poverty in Guizhou, China

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