Inter-Provincial Differences in Potential Obstacles to Land Transfer Income to Support Rural Revitalization in China

Wang, Yubo; Xue, Yuyu; Xi, Jianchao

doi:10.3390/land11040510

Cited by 7 publications

(8 citation statements)

References 26 publications

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“…Thus, participating in land transfers significantly enhances farmers' income levels, confirming Hypothesis 1. This conclusion is also consistent with existing research [50][51][52]. Additionally, the effects of other control variables on the income of different types of farm households are broadly consistent with the findings of existing research.…”

Section: Baseline Regression Analysissupporting

confidence: 90%

“…Overall, participation in land transfers has an impact coefficient of 0.452 on transfer income and 1.498 on property income, with the impact on agricultural production income being -0.438, all significant at the 1% level, while the impacts on wage income and business income are not significant. Three possible reasons for this phenomenon are: first, some farmers engage in non-farm business activities instead of working outside after transferring out land, which could lead to a significant decrease in their agricultural production income; second, after participating in land transfers, farmers' overall income increases, and more income is allocated to investments, leading to increased property income; third, there is a large variance in income increase among different households participating in land transfers, resulting in non-significant changes in wage income and business income in the overall analysis [50,52]. Furthermore, for different types of households, the regression coefficient for the impact of land outflow on farmers' income is 0.475, significant at the 1% level, whereas the impact of land inflow on farmers' income is not significant.…”

Section: Analysis Of the Heterogeneity Of Impacts On Different Source...mentioning

confidence: 99%

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Better Implementation of the Rural Revitalization Strategy: China’s Land Transfer and Farmers’ Income

Zhang,

Huo,

Han

et al. 2024

Preprint

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The United Nations Sustainable Development Goals call for the eradication of poverty, and China has proposed the Rural Revitalization Strategy based on the achievements of its poverty alleviation efforts in 2020. As a vital component of this strategy, the impact of land transfer on farmers' income growth has become a hot topic in both theoretical and practical sectors. This paper utilizes data from the CFPS database for the years 2010-2018 to construct OLS regression models and a Heckman two-stage model to analyze the effects of land transfers on the incomes of different types and sources among farmers. The empirical results show: First, land transfers do promote income growth among farmers, but the effect is primarily positive for those transferring out land, with negligible impact on those acquiring land. Second, the impact of land transfers varies between different types of income for transferees and transferors. Wage income contributes up to 88.26% to the income growth of transferors, a significantly higher rate than the decrease in business income; however, the increase in business income for transferees does not offset the decline in wage income, leading to no significant change in overall income. Further sensitivity analysis using the Heckman two-stage model confirms the robustness of these findings. The conclusions of this study provide theoretical and empirical evidence to optimize land transfer policies, enhance participation in land transfers, and ultimately achieve the mission of rural revitalization.

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Section: Baseline Regression Analysissupporting

confidence: 90%

Section: Analysis Of the Heterogeneity Of Impacts On Different Source...mentioning

confidence: 99%

Better Implementation of the Rural Revitalization Strategy: China’s Land Transfer and Farmers’ Income

Zhang,

Huo,

Han

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Negative growth was also recorded in Tianjin. Taking 2020 as It is worth noting that the ranking of rural revitalization levels in economically developed areas such as Beijing, Shanghai and Tianjin in 2020 is not in the forefront, which is inconsistent with the existing research results (32). The main reason is that the five-dimensional index system of rural revitalization designed in this paper is relatively richer, in addition to the industrial development level index representing thriving businesses, it is mainly based on the five dimensions of rural revitalization and constructs the five-dimensional index representing agricultural and rural development, that is, the selected indicators focus on the comprehensive development of the five goals of rural revitalization, and do not take the economic level as the main indicator to measure the level of rural revitalization.…”

Section: Measurement Results and Analysis Of Rural Revitalization Levelmentioning

confidence: 72%

Agricultural insurance and rural revitalization—an empirical analysis based on China’s provincial panel data

Zhou,

Liu,

Wan

et al. 2023

Front. Public Health

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Agricultural insurance is a kind of compensation insurance designed to provide protection for the economic losses caused by insured accidents suffered by agricultural producers in agricultural production. Rural revitalization refers to the strategy of improving the level of rural economic, social and cultural development and achieving coordinated and sustainable development of urban and rural development. Agricultural insurance can effectively diversify risks and reduce losses for agricultural producers, which plays an important role in stabilizing farmers’ income, helping rural economic development, and promoting rural revitalization. Based on the theoretical analysis of the mechanism of agricultural insurance on rural revitalization, this paper empirically studies the effect of agricultural insurance on rural revitalization by using panel data from various provinces in China from 2011 to 2020.1 In this paper, the TOPSIS entropy weight method, the system generalized method of moments (GMM) and the threshold model are used to calculate the actual development level of rural revitalization in each province of China, the promotion effect of agricultural insurance on the development level of rural revitalization and the promotion of rural revitalization in five dimensions, and whether there is a threshold effect of agricultural insurance on rural revitalization. The empirical results show that: (1) The level of rural revitalization in various provinces in China shows a dynamic trend of “overall slow rise, with obvious differences between provinces.” (2) Improving the development level of agricultural insurance can drive the improvement of China’s rural revitalization level, and every 1 unit increase in the development level of agricultural insurance will drive the level of China’s rural revitalization to increase by 0.1633 units. At the same time, the role of agricultural insurance on social etiquette and civility is not significant, and the role of the remaining four rural revitalization goals is significant. (3) Agricultural insurance has a significant effect on the level of rural revitalization in eastern provinces, but does not play a significant role in rural revitalization in central and western provinces. (4) The role of agricultural insurance on rural revitalization has a double threshold effect. Accordingly, this paper puts forward some suggestions for increasing the capital investment in agricultural insurance, innovating the new mode of agricultural insurance operation, promoting the in-depth development of agricultural insurance according to local conditions, and reasonably adjusting the capital investment of agricultural insurance. Finally, because the data used in this paper do not cover the entire process of rural revitalization and the research is mainly carried out from a macro perspective, there are still some shortcomings in this paper.

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“…Mainland of China consists of 22 provinces, 5 autonomous regions, and 4 municipalities directly under the central government [ 22 ], including 286 cities [ 23 ]. The Yangtze River Delta urban agglomeration includes 27 cities from three provinces, which are Jiangsu, Zhejiang, and Anhui provinces, including Shanghai, which is a municipality directly under the central government [ 24 ].…”

Section: Methodsmentioning

confidence: 99%

Spatial-temporal evolution of population aging in the yangtze river delta urban agglomeration of China

Zhang,

Tang,

et al. 2024

PLoS ONE

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The Yangtze River Delta urban agglomeration (YRDUA) is China’s most representative region with remarkable economic development vitality. The purpose of this study is to provide valuable data analysis to actively respond to the population aging in China. We mainly focus on the spatial and temporal evolution of population aging in YRDUA from 2000 to 2020 using city-level population data. This study constructs a multi-dimensional index system to measure population aging including population aging degree, speed, and density. It finds out: (1) the elderly population rate (EPR), the elder-child ratio (ECR), and the elderly dependency ratio (EDR) in the YRDUA area are gradually increasing from 2000 to 2020. In addition, the trends of these indicators in various cities and regions are relatively consistent. All 27 cities in YRDUA entered an aging society, from the primary to the moderate aging stage from 2000 to 2010 and from the moderate to the hyper aging stage from 2010 to 2020. (2) the absolute and relative growth rate of EPR is increasing from 2000 to 2020. However, the absolute and relative growth rate of ECR is increasing from 2000 to 2010 and then decreasing from 2010 to 2020. These results indicate that the two-child policy adopted by the Chinese government plays a positive role. (3) the density level of the elderly population in the YRDUA evolved from low in 2000 to middle in 2010 and then to high in 2020. (4) There are remarkable differences in the process of population aging among three provinces and one city. The contribution of this study is mainly reflected in two aspects: firstly, it constructs a multi-dimensional index system to measure population aging; secondly, using this multi-dimensional index system, it systematically observes the spatial and temporal evolution of population aging from 2000 to 2020 in the Yangtze River Delta Urban Agglomeration.

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Inter-Provincial Differences in Potential Obstacles to Land Transfer Income to Support Rural Revitalization in China

Cited by 7 publications

References 26 publications

Better Implementation of the Rural Revitalization Strategy: China’s Land Transfer and Farmers’ Income

Better Implementation of the Rural Revitalization Strategy: China’s Land Transfer and Farmers’ Income

Agricultural insurance and rural revitalization—an empirical analysis based on China’s provincial panel data

Spatial-temporal evolution of population aging in the yangtze river delta urban agglomeration of China

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