Matches in SemOpenAlex for { <https://semopenalex.org/work/W1993897222> ?p ?o ?g. }
- W1993897222 endingPage "270" @default.
- W1993897222 startingPage "248" @default.
- W1993897222 abstract "Purpose – The purpose of this paper is to determine the extent of risk rationing among potential rural borrowers in Mexico and China. Design/methodology/approach – Using primary survey data from 730 farm households in the Shaanxi province of China and from 372 farmers in northeastern Mexico, the authors investigate factors associated with risk rationed, price rationed and quantity rationed farmers. The survey was instrumented to self-identify borrower typologies. In addition the authors created within the survey a discrete-choice credit demand build to determine borrower credit demand elasticities. The analysis applies a linear probability which the authors found to be consistent with multinomial and binary logit models. Findings – The authors find in China the incidence of risk rationing in farmers to be 6.5, 14 percent for quantity rationed and 80 percent for price rationed. In Mexico, 35 percent of the sample is risk rationed, 10 percent quantity rationed and 55 percent price rationed. The results from China support the hypothesis that the financially poor are more likely to be quantity rationed; in Mexico, however, the level of education is found to be important in determining quantity rationed. In both countries, asset wealthy farmers are less likely to be risk rationed; however, income does not appear to have an impact. The paper provides evidence that the elasticity of demand for credit is different among the three credit rationed groups: risk rationed, price rationed and quantity rationed. Risk aversion and prudence are significantly correlated with risk rationing in China, while only risk aversion is significant in Mexico. The results suggest that efforts to enhance credit access must also deal with risk and risk perceptions. Practical implications – Risk rationing is an important concept in the understanding of rural credit markets. The findings that only 6.5 and 35 percent of Chinese and Mexican farmers are in stark contrast to each other. For agricultural economies such as Mexico with a significant number of farmers being risk rationing, more effort should be put into financial education and financial practices, including perhaps the use of risk-contingent credit to remove collateral risk. As property rights in China evolve, and new laws are promulgated to permit borrowing against land use rights, the collateralization issue will become much more important in rural credit markets. Originality/value – This paper is the first to investigate risk rationing in China and Mexico and one of the few research studies empirically investigating risk rationing. A comparative analysis of Mexico and China is enlightening because of the structural differences in the respective agricultural economies. The use of a credit demand build and the enumeration of individual credit demand elasticities is an original contribution to this literature." @default.
- W1993897222 created "2016-06-24" @default.
- W1993897222 creator A5001243028 @default.
- W1993897222 creator A5043583715 @default.
- W1993897222 creator A5051422149 @default.
- W1993897222 date "2014-07-01" @default.
- W1993897222 modified "2023-10-16" @default.
- W1993897222 title "Risk rationing and the demand for agricultural credit: a comparative investigation of Mexico and China" @default.
- W1993897222 cites W1527532286 @default.
- W1993897222 cites W1563258393 @default.
- W1993897222 cites W1583280453 @default.
- W1993897222 cites W1800227733 @default.
- W1993897222 cites W1915655679 @default.
- W1993897222 cites W1971833746 @default.
- W1993897222 cites W1972512387 @default.
- W1993897222 cites W1980314087 @default.
- W1993897222 cites W1983437709 @default.
- W1993897222 cites W1988367360 @default.
- W1993897222 cites W1988901779 @default.
- W1993897222 cites W2001349856 @default.
- W1993897222 cites W2009234383 @default.
- W1993897222 cites W2012132584 @default.
- W1993897222 cites W2057254198 @default.
- W1993897222 cites W2057679515 @default.
- W1993897222 cites W2059317920 @default.
- W1993897222 cites W2068055174 @default.
- W1993897222 cites W2071322232 @default.
- W1993897222 cites W2079757646 @default.
- W1993897222 cites W2087991264 @default.
- W1993897222 cites W2093996043 @default.
- W1993897222 cites W2094060030 @default.
- W1993897222 cites W2095203283 @default.
- W1993897222 cites W2096611693 @default.
- W1993897222 cites W2097762303 @default.
- W1993897222 cites W2105914407 @default.
- W1993897222 cites W2120370613 @default.
- W1993897222 cites W2122209605 @default.
- W1993897222 cites W2123831971 @default.
- W1993897222 cites W2155601278 @default.
- W1993897222 cites W2234052880 @default.
- W1993897222 cites W3023862044 @default.
- W1993897222 cites W3121528777 @default.
- W1993897222 cites W3123009971 @default.
- W1993897222 cites W3123983288 @default.
- W1993897222 cites W3125972173 @default.
- W1993897222 cites W1998283096 @default.
- W1993897222 doi "https://doi.org/10.1108/afr-05-2014-0011" @default.
- W1993897222 hasPublicationYear "2014" @default.
- W1993897222 type Work @default.
- W1993897222 sameAs 1993897222 @default.
- W1993897222 citedByCount "24" @default.
- W1993897222 countsByYear W19938972222015 @default.
- W1993897222 countsByYear W19938972222016 @default.
- W1993897222 countsByYear W19938972222017 @default.
- W1993897222 countsByYear W19938972222018 @default.
- W1993897222 countsByYear W19938972222019 @default.
- W1993897222 countsByYear W19938972222020 @default.
- W1993897222 countsByYear W19938972222021 @default.
- W1993897222 countsByYear W19938972222022 @default.
- W1993897222 countsByYear W19938972222023 @default.
- W1993897222 crossrefType "journal-article" @default.
- W1993897222 hasAuthorship W1993897222A5001243028 @default.
- W1993897222 hasAuthorship W1993897222A5043583715 @default.
- W1993897222 hasAuthorship W1993897222A5051422149 @default.
- W1993897222 hasConcept C10138342 @default.
- W1993897222 hasConcept C106159729 @default.
- W1993897222 hasConcept C129915516 @default.
- W1993897222 hasConcept C144133560 @default.
- W1993897222 hasConcept C160735492 @default.
- W1993897222 hasConcept C162324750 @default.
- W1993897222 hasConcept C166957645 @default.
- W1993897222 hasConcept C175025494 @default.
- W1993897222 hasConcept C185592680 @default.
- W1993897222 hasConcept C191935318 @default.
- W1993897222 hasConcept C198531522 @default.
- W1993897222 hasConcept C205649164 @default.
- W1993897222 hasConcept C205706631 @default.
- W1993897222 hasConcept C2775994111 @default.
- W1993897222 hasConcept C2778137473 @default.
- W1993897222 hasConcept C43617362 @default.
- W1993897222 hasConcept C50522688 @default.
- W1993897222 hasConceptScore W1993897222C10138342 @default.
- W1993897222 hasConceptScore W1993897222C106159729 @default.
- W1993897222 hasConceptScore W1993897222C129915516 @default.
- W1993897222 hasConceptScore W1993897222C144133560 @default.
- W1993897222 hasConceptScore W1993897222C160735492 @default.
- W1993897222 hasConceptScore W1993897222C162324750 @default.
- W1993897222 hasConceptScore W1993897222C166957645 @default.
- W1993897222 hasConceptScore W1993897222C175025494 @default.
- W1993897222 hasConceptScore W1993897222C185592680 @default.
- W1993897222 hasConceptScore W1993897222C191935318 @default.
- W1993897222 hasConceptScore W1993897222C198531522 @default.
- W1993897222 hasConceptScore W1993897222C205649164 @default.
- W1993897222 hasConceptScore W1993897222C205706631 @default.
- W1993897222 hasConceptScore W1993897222C2775994111 @default.
- W1993897222 hasConceptScore W1993897222C2778137473 @default.
- W1993897222 hasConceptScore W1993897222C43617362 @default.
- W1993897222 hasConceptScore W1993897222C50522688 @default.