scholarly journals Informal credit constraints and farmers’ health: an empirical study of China

2021 ◽  
Vol 51 (8) ◽  
Author(s):  
Xinyue Dong ◽  
Fan Yang
Keyword(s):  
Empirical Study ◽  
Income Distribution ◽  
Survey Data ◽  
Credit Constraints ◽  
Rural Residents ◽  
Informal Credit ◽  
Self Rated Health ◽  
Urban And Rural Residents ◽  
Analysis Center ◽  
The Impact

ABSTRACT: Based on survey data of the income distribution and living conditions of urban and rural residents collected by the China Economic Monitoring and Analysis Center in 2014, we investigated the mechanisms related to informal credit constraints on farmer health and then empirically analyzed the impacts of such constraints. Results showed that, in general, informal credit constraints significantly negatively impact farmer health. Compared with farmers whose credit was not informally constrained, the probability of farmers who faced informal credit constraints describing their self-rated health as “very good” fell by 6.64%. After controlling for endogenous problems, this proportion rose to 28.87%. Correspondingly, the probability of describing self-rated health as “very bad” increased by 0.45%. After controlling for endogenous problems, this proportion rose to 0.81%. The robustness test showed that our conclusions are strongly robust. Informal credit constraints significantly positively impacted the number of days of illness in 2013 in the sample of farmers, which means farmers who suffered from informal credit constraints required more sick days than those who did not experience informal credit constraints in 2013. As far as we know, this is the first study on the impact of informal credit constraints on Chinese farmer health.

scholarly journals Impact of Credit Constraints from Formal Financial Institutions on Rural Residents’ Health in China

Healthcare ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 6
Author(s):  
Fan Yang ◽  
Yao Jiang ◽  
Krishna P. Paudel
Keyword(s):  
Financial Institutions ◽  
Credit Constraints ◽  
Health Assessment ◽  
Household Survey ◽  
Probit Model ◽  
National Bureau ◽  
Rural Residents ◽  
Self Rated Health ◽  
Economic Vulnerability ◽  
The Impact

This is the first study in China that looks at the impact of credit constraints from formal financial institutions on Chinese rural residents’ health. We use the Chinese Household Income Project (CHIP) data collected by the Annual Household Survey Office of Integration of Urban and Rural in the National Bureau of Statistics in 2014. We measure rural residents’ health status with self-rated health assessment and the number of sick days in 2013. The results obtained from using the ordered probit model show that, in general, credit constraints from formal financial institutions significantly and negatively affect the self-rated health of Chinese rural residents. When an endogeneity issue is addressed using the instrumental variable (IV) approach, this paper’s results are still robust. The results also show that the impact of credit constraints from formal financial institutions on rural residents’ self-rated health is significant in male, female, married, and unmarried sub-groups. Further, we find that credit constraints from formal financial institutions impact rural residents’ health through income and economic vulnerability. The findings have implications for preventing rural residents from falling into a health trap due to credit constraints from formal financial institutions.

THE IMPACT OF THE ANTI-CORRUPTION CAMPAIGN ON INCOME DISTRIBUTION: EVIDENCE FROM CHINA

2021 ◽  
pp. 1-23
Author(s):  
YING GE ◽  
JINJUN XUE
Keyword(s):  
Income Distribution ◽  
Survey Data ◽  
Household Income ◽  
The Other ◽  
Public Officials ◽  
Government Officials ◽  
The Public ◽  
Earnings Gap ◽  
Micro Level ◽  
The Impact

This paper provides the first systematic micro-level evidences on the effectiveness of anti-corruption campaign in disciplining public officials and its impact on income distribution. Based on China Household Income Project (CHIP) survey data 2007 and 2013, we found that party and government officials had significant hidden income and the public–private earnings gap was as high as 8% before the campaign. However, the hidden income become not significant and the earnings gap declined to −18% in this post-campaign period. The regions inspected by central anti-corruption inspection groups experience larger public earnings penalties compared to the other regions. Overall, our findings suggest that the privilege of public officials declined sharply during this anti-corruption campaign.

Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm

2020 ◽  
pp. 002072092093683
Author(s):  
Yao Li
Keyword(s):  
Empirical Analysis ◽  
Financial Development ◽  
Rural Areas ◽  
Clustering Algorithm ◽  
Financial Industry ◽  
Rural Residents ◽  
Income Gap ◽  
Urban And Rural Residents ◽  
Urban And Rural Areas ◽  
The Impact

With the rise of the tertiary industry, the financial industry has achieved unprecedented development, which is mainly reflected in the rapid growth of economic aggregate, the increasingly balanced financial structure system and the increasingly diversified financial products. However, with the rapid development of financial industry, the income of urban and rural residents is increasingly unbalanced. The increasing income gap between urban and rural areas has caused a large number of adverse phenomena in the process of economic development, seriously affecting the income distribution of the people and even causing social instability. Therefore, in today’s big data era, it is necessary to systematically study and analyze the impact of financial industry development on the national income gap between urban and rural areas. At the same time, it is of great significance to improve the problem of excessive income gap between urban and rural areas. This paper mainly analyses the relationship between the three effects of the development of financial industry and the income gap between urban and rural residents. In the empirical aspect, the paper creatively uses the fuzzy Kmeans clustering algorithm to regression analysis the panel data of a certain area from 2010 to 2018. At the same time, in the empirical data analysis, this paper creatively replaces the European norm measure of the Kmeans clustering algorithm with the AE measure, and puts forward a proposal. The index of financial development level is based on the proportion of loans from financial institutions. Through theoretical and empirical analysis, this paper draws the following conclusions: the financial scale in the financial industry will have a huge impact on the income gap between urban and rural areas. Finally, based on the above problems and current situation, this paper puts forward relevant improvement suggestions.

The impact of brand logo identification and brand logo benefit on Indonesian consumers’ relationship quality

2015 ◽  
Vol 7 (3) ◽  
pp. 237-252 ◽  
Author(s):  
Arnold Japutra ◽  
Keni Keni ◽  
Bang Nguyen
Keyword(s):  
Structural Equation Modeling ◽  
Empirical Study ◽  
Relationship Quality ◽  
Survey Data ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to examine the relationships between brand logo identification and brand logo benefit on Indonesian consumers’ relationship quality. Design/methodology/approach – This study utilizes survey data in Indonesia and structural equation modeling. In total, 282 participants responded to the survey. Findings – Brand logo benefit predicts all three relationship quality constructs, whereas brand logo identification only predicts satisfaction and trust. Out of the two, brand logo benefit is a better predictor of satisfaction, trust, and commitment. Originality/value – This is a first empirical study to examine brand logo identification and brand logo benefit on Indonesian consumer’s relationship quality. In addition, this is the first study to investigate the link between brand logo benefit with satisfaction and trust.

scholarly journals Urban and rural income, residents’ consumption structure and energy consumption

2020 ◽  
Vol 218 ◽  
pp. 01034
Author(s):  
Yan Li ◽  
Zhi-wei Liu ◽  
Nan-nan Li ◽  
Jia-li Zhang ◽  
Ya-chen Wang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Rural Areas ◽  
Emission Reduction ◽  
Rural Residents ◽  
Consumption Structure ◽  
Urban And Rural Residents ◽  
The Difference ◽  
The Government ◽  
The Impact

As an internal driving force to promote economic growth, residents’ consumption also has an important impact on energy consumption. Based on the difference of consumption structure between urban and rural residents, this paper introduces the income gap variable of urban and rural residents, analyzes the impact of urban and rural residents’ consumption on energy consumption, and provides reference for the implementation of energy conservation and emission reduction policies. On this basis, the author believes that the government should take flexible measures to control energy consumption according to the differences between urban and rural areas, make accurate efforts, and steadily promote the implementation of energy conservation and emission reduction.

scholarly journals Can Digital Inclusive Finance Narrow the Chinese Urban–Rural Income Gap? The Perspective of the Regional Urban–Rural Income Structure

2021 ◽  
Vol 13 (11) ◽  
pp. 6427
Author(s):  
Naishu Yu ◽  
Yanzhe Wang
Keyword(s):  
Western China ◽  
Rural Residents ◽  
Income Gap ◽  
Rural Income ◽  
Urban And Rural Residents ◽  
Property Income ◽  
Urban Rural ◽  
Transfer Income ◽  
The Impact ◽  
Wage Income

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.

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