How do Collective Operating Construction Land (COCL) Transactions affect rural residents’ property income? Evidence from rural Deqing County, China

2021 ◽  
pp. 105897
Author(s):  
Man Jiao ◽  
Hengzhou Xu
2021 ◽  
Vol 13 (11) ◽  
pp. 6427
Author(s):  
Naishu Yu ◽  
Yanzhe Wang

This paper empirically studies the impact of digital inclusive finance on the income structure of urban and rural residents in eastern, central, and western China. The results show that, first, digital inclusive finance is beneficial to narrowing the urban–rural per capita disposable income gap that has a disequilibrium effect among regions. Second, narrowing the wage income, property income, and transfer income gaps is beneficial but has little effect on the net operating income gap between urban and rural residents. Third, narrowing the wage income, property income, and transfer income gaps reduces the total income gap, and the wage income gap has the strongest intermediary force. In the end, the paper puts forward corresponding countermeasures for the development of digital inclusive finance to narrow each of these income gaps in different regions of China.


2021 ◽  
Vol 13 (5) ◽  
pp. 2849
Author(s):  
Xiaozhun Peng ◽  
Hongyou Lu ◽  
Jiaming Fu ◽  
Zhijuan Li

The property income growth of urban and rural residents is an important part of the continuous increase in the disposable income of these residents, which is also inseparable from the deepening development of the financial market. After sorting out the various sources of income that affect residents’ property in the existing research and controlling regional fixed effects, based on data from 31 provinces in China, this article considers important financial factors and the process of urbanization as explanatory variables to perform panel regression on the property income of provincial residents under fixed effects and random effects. In the context of large differences in the investment environment between urban and rural areas, we further examine the effects of financial factors on the property income of urban and rural residents. Only by expanding the investment opportunities and enhancing the investment ability of the residents, can the property income of the residents, especially the rural residents, be guaranteed to grow steadily and sustainably.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongmei Liu ◽  
Guoxiang Li ◽  
Keqiang Wang

PurposeThe contradiction of construction land in economically developed regions is becoming more prominent, and the scale of construction land in some large cities is close to the ceiling. Therefore, China implemented the policy of construction land reduction in 2014. The main objective is to optimize the stock of homesteads and then help to realize rural revitalization by transferring land indexes across regions. Shanghai took the lead in implementing the reduction policy in 2014, for which reduction acceptance data are available. Thus, this paper evaluates the impact of homestead reduction on rural economic development based on data from towns in Shanghai.Design/methodology/approachThis paper uses the difference-in-difference (DID) model to analyze the policy effects of homestead reduction on rural residents' income and industrial integration development. Using economic agglomeration (EA) as a mediating variable, the authors explore how homestead reduction (HR) promotes EA to drive rural economic development and analyze the impact of geographic location and government investment.FindingsHR significantly promotes rural economic development and shows a significant cumulative effect. In the long run, HR can improve rural residents' income and promote industrial integration by promoting EA. The positive effect of HR and EA in suburban regions on industrial integration development is gradually increasing. However, the incentive effect on rural residents' income is weakening. The positive mediating effect of EA is significantly higher in regions with low government investment than in regions with high government investment.Originality/valueThis paper contributes to testing the impact of HR policy on rural economic development and can provide a reference for other regions aiming to implement reduction policy.


Crisis ◽  
2014 ◽  
Vol 35 (5) ◽  
pp. 330-337 ◽  
Author(s):  
Cun-Xian Jia ◽  
Lin-Lin Wang ◽  
Ai-Qiang Xu ◽  
Ai-Ying Dai ◽  
Ping Qin

Background: Physical illness is linked with an increased risk of suicide; however, evidence from China is limited. Aims: To assess the influence of physical illness on risk of suicide among rural residents of China, and to examine the differences in the characteristics of people completing suicide with physical illness from those without physical illness. Method: In all, 200 suicide cases and 200 control subjects, 1:1 pair-matched on sex and age, were included from 25 townships of three randomly selected counties in Shandong Province, China. One informant for each suicide or control subject was interviewed to collect data on the physical health condition and psychological and sociodemographic status. Results: The prevalence of physical illness in suicide cases (63.0%) was significantly higher than that in paired controls (41.0%; χ2 = 19.39, p < .001). Compared with suicide cases without physical illness, people who were physically ill and completed suicide were generally older, less educated, had lower family income, and reported a mental disorder less often. Physical illness denoted a significant risk factor for suicide with an associated odds ratio of 3.23 (95% CI: 1.85–5.62) after adjusted for important covariates. The elevated risk of suicide increased progressively with the number of comorbid illnesses. Cancer, stroke, and a group of illnesses comprising dementia, hemiplegia, and encephalatrophy had a particularly strong effect among the commonly reported diagnoses in this study population. Conclusion: Physical illness is an important risk factor for suicide in rural residents of China. Efforts for suicide prevention are needed and should be integrated with national strategies of health care in rural China.


EDIS ◽  
2017 ◽  
Vol 2017 (5) ◽  
Author(s):  
Alan W. Hodges ◽  
Mohammad Rahmani ◽  
Christa D. Court

This analysis was conducted using the Implan regional economic modeling system and associated state and county databases (IMPLAN Group LLC) to estimate economic multipliers and contributions for over 500 different industry sectors. Multipliers capture the indirect and induced economic activity generated by re-spending of income or sales revenues in a regional economy. A collection of 121 industry sectors were included in the analysis to represent the broad array of activities encompassed by agricultural and natural-resource commodity production, manufacturing, distribution and supporting services in Florida. Economic contributions can be measured in terms of employment, industry output, value added, exports, labor income, other property income, and business taxes. A glossary of economic terms used in this report is provided following this summary.


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