scholarly journals Do credit constraints affect households' economic vulnerability? Empirical evidence from rural China

2021 ◽  
Vol 20 (9) ◽  
pp. 2552-2568
Author(s):  
Yan-ling PENG ◽  
Yanjun REN ◽  
Hou-jian LI
2010 ◽  
Vol 2 (1) ◽  
pp. 189-206 ◽  
Author(s):  
Abhijit V. Banerjee ◽  
Benjamin Moll

Recent papers argue that the misallocation of resources can explain large cross-country TFP differences. This argument is underpinned by empirical evidence documenting substantial dispersion in the marginal products of resources, particularly capital, in developing countries. But why does misallocation persists? That is, why don't distortions disappear on their own? This is particularly true for capital misallocation, a point we illustrate in a simple model of capital accumulation with credit constraints. We distinguish between misallocation on the intensive and the extensive margin, and show that the former should disappear asymptotically under general conditions, while the latter may persist. We conclude by discussing possible theories of persistent misallocation. (JEL D24, E22, G31, G32, L26)


2008 ◽  
Vol 46 (2) ◽  
pp. 333-383 ◽  
Author(s):  
Janet Currie ◽  
Firouz Gahvari

We review theoretical explanations for in-kind transfers in light of the limited empirical evidence. After reviewing the traditional paternalistic arguments, we consider explanations based on imperfect information and self-targeting. We then discuss the large literature on in-kind programs as a way of improving the efficiency of the tax system and a range of other possible explanations, including the “Samaritan's Dilemma,” pecuniary effects, credit constraints, asymmetric information amongst agents, and political economy considerations. Our reading of the evidence suggests that paternalism and interdependent preferences are leading overall explanations for the existence of in-kind transfer programs but that some of the other arguments may apply to specific cases. Political economy considerations must also be part of the story.


Healthcare ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 6
Author(s):  
Fan Yang ◽  
Yao Jiang ◽  
Krishna P. Paudel

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.


2015 ◽  
Vol 26 (67) ◽  
pp. 85-92
Author(s):  
Alan Nader Ackel Ghani ◽  
Roy Martelanc ◽  
Eduardo Kazuo Kayo

This article analyzes the credit constraints, using the cash flow sensitivity approach, of private and listed companies between 2007 and 2010. According to this approach, the econometric results show that the credit constraints are the same for either private or listed companies. This paper seeks to contribute to the literature because the study of credit constraints of private companies based on cash flow sensitivity in Brazil has been rare.


Energy ◽  
2020 ◽  
Vol 201 ◽  
pp. 117631 ◽  
Author(s):  
Jiaxin Li ◽  
Zihan Wang ◽  
Xin Cheng ◽  
Jing Shuai ◽  
Chuanmin Shuai ◽  
...  

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