AGRICULTURAL OUTPUT EFFECT OF RURAL FINANCE: AN EXTENDED REGRESSION APPROACH

dc.contributor.authorJing, Xinxin
dc.contributor.authorJiang, Ruchuan
dc.contributor.authorChen, Zhiguo
dc.contributor.authorDeng, Zhi
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2022-06-07T07:48:05Z
dc.date.available2022-06-07T07:48:05Z
dc.description.abstractAgricultural output growth is an everlasting realistic problem in human society. Rural finance aims to relieve the financing constraint and pressure on the rural society with capital scarcity through credit aid and support agricultural output growth. However, credit funds cannot be adequately input into agricultural production and management, which adversely impacts agricultural output. To accurately investigate the agricultural output effect of rural finance, using the 2015 China Household Finance Survey’s large-sample micro-survey data, an extended regression model (ERM) was established that could effectively eliminate the endogeneity problem. Then, the agricultural output effect of rural finance was empirically estimated. Subsequently, the robustness of empirical results was tested using the propensity score matching (PSM) method and the Kernel density map. Agricultural technical guidance was introduced to explore its regulating effect on the relationship between rural finance and agricultural output. Furthermore, the robustness test was conducted for different groups, such as the eastern region, the western region, and the central region, to investigate the regional differences in the agricultural output effect of rural finance. The estimation results of ERM indicate that rural finance exerts a significantly positive influence on the agricultural output, and a large estimated coefficient manifests the considerable agricultural output effect of rural finance. The estimation results of the PSM method show that rural finance significantly increases the agricultural output of all peasant household samples averagely by 11,100 CNY. Agricultural technical guidance has a significantly positive regulating effect on the agricultural output effect of rural finance. According to the regional heterogeneity analysis, rural finance is significantly promoted in central and western regions, but it presents an insignificant crowding-out effect in the eastern region. Conclusions in this study can provide pertinent enlightenment for strengthening the productive functions of rural finance and lay a theoretical foundation for facilitating its healthy development.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2022-2-001
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/164983
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAjide, F. (2015). Financial Inclusion and Rural Poverty Reduction: Evidence from Nigeria. International Journal of Management Sciences and Humanities, 3(2), 1–23.
dc.relation.isbasedonAna, A. C., Cowley, C., & Katchova, A. L. (2021). Examining the Relationship between Land Values and Credit Availability. Journal of Agricultural & Applied Economics, 53(2), 209–228. https://doi.org/10.1017/AAE.2020.32
dc.relation.isbasedonBianco, G. B. (2020). Climate change adaptation, coffee, and corporate social responsibility: challenges and opportunities. International Journal of Corporate Social Responsibility, 5, 3. https://doi.org/10.1186/s40991-020-00048-0
dc.relation.isbasedonBolarinwa, K. K., & Fakoya, E. O. (2011). Impact of farm credit on farmers socio-economic status in Ogun State, Nigeria. Journal of Social Sciences, 49(1), 67–71. https://doi.org/10.1080/09718923.2011.11892883
dc.relation.isbasedonCao, X. H. (2008). Analysis on the relationship between agricultural economic growth and rural financial development. Issues in Agricultural Economy, 29(11), 49–54. https://doi.org/10.13246/j.cnki.iae.2008.11.014
dc.relation.isbasedonChen, Z. G., Zhang, H., & Rong, Y. (2020). Poverty reduction effect of rural finance in China and its policy implications. Rural Finance Research, 41(11), 3–15. https://doi.org/10.16127/j.cnki.issn1003-1812.2020.11.009
dc.relation.isbasedonCui, J., & Jo, H. (2019). Pray local and act global? Christian religiosity in the US and human rights. Business Ethics: A European Review, 28(3), 361–378. https://doi.org/10.1111/beer.12219
dc.relation.isbasedonDawood, T. C., Pratama, H., Masbar, R., & Effendi, R. (2019). Does financial inclusion alleviate household poverty? Empirical evidence from Indonesia. Economics and Sociology, 12(2), 235–252. https://doi.org/10.14254/2071-789X.2019/12-2/14
dc.relation.isbasedonDing, Z. G., Zhang, Y., & Qin, Z. H. (2016). The path choice and policy effect of rural finance development in China. Issues in Agricultural Economy, 37(1), 68–75. https://doi.org/10.13246/j.cnki.iae.2016.01.009
dc.relation.isbasedonDonou-Adonsou, F., & Sylwester, K. (2016). Growth effect of banks and microfinance: Evidence from developing countries. The Quarterly Review of Economics & Finance, 64(C), 44–56. https://doi.org/10.1016/j.qref.2016.11.001
dc.relation.isbasedonDuong, P. B., & Izumida, Y. (2002). Rural development finance in Vietnam: A microeconometric analysis of household surveys. World Development, 30(2), 319–335. https://doi.org/10.1016/S0305-750X(01)00112-7
dc.relation.isbasedonFeder, G., & Lau, L. J. (1999). The Relationship between Credit and Productivity in Chinese Agriculture: A Microeconomic Model of Disequilibrium. American Journal of Agricultural Economics, 72(5), 1151–1157. https://doi.org/10.2307/1242524
dc.relation.isbasedonGao, Y. F., & Wang, Z. J. (2012). A comparative study on the output effect of agricultural credit input in western China. Journal of Agrotechnical Economics, 31(9), 35–42. https://doi.org/10.13246/j.cnki.jae.2012.09.005
dc.relation.isbasedonGrossman, J., & Tarazi, M. (2014). Serving Smallholder Farmers: Recent Developments in Digital Finance (Focus Note No. 94). Consultative Group to Assist the Poor (CGAP).
dc.relation.isbasedonJiang, Q. W., & Xia, W. L. (2017). Direct and Indirect Influence of Rural Financial Development on Agricultural Science and Technology Progress. Science and Technology Management Research, 390(20), 27–34. https://doi.org/10.3969/j.issn.1000-7695.2017.20.005
dc.relation.isbasedonLiu, J. C., & Liu, C. Y. (2020). The rural poverty reduction effect of digital inclusive finance: Effect and mechanism. Review of Finance and Economics, 255(1), 43–53. https://doi.org/10.13762/j.cnki.cjlc.2020.01.004
dc.relation.isbasedonLu, M. F., & Xu, Y. Y. (2020). Review, inspiration and prospect of seventy years’ development of rural finance in China. Finance Theory and Teaching, 160(2), 1–7. https://doi.org/10.13298/j.cnki.ftat.20190729.001
dc.relation.isbasedonLu, Z. Y. (2016). The Influence of Fiscal Expenditure and Agricultural FDI on Agricultural Science and Technology. Science and Technology Management Research, 36(9), 23–29. https://doi.org/10.3969/j.issn.1000-7695.2016.09.005
dc.relation.isbasedonMushtaq, R., & Bruneau, C. (2019). Microfinance, financial inclusion and ICT: Implications for poverty and inequality. Technology in Society, 59, 1–19. https://doi.org/10.1016/j.techsoc.2019.101154
dc.relation.isbasedonPark, C., & Mercado, R. Jr. (2017). Financial inclusion, poverty, and income inequality. The Singapore Economic Review, 63(1), 185–206. https://doi.org/10.1142/S0217590818410059
dc.relation.isbasedonPederson, G., Chung, W., & Nel, R. (2012). Microeconomic impacts of a state-funded farmer loan program. Agricultural Finance Review, 72(1), 5–21. https://doi.org/10.1108/00021461211222097
dc.relation.isbasedonPerez-Ortega, S., Gonzalez-Yebra, O., Oliva, R. M., & Alvarez, A. J. (2021). Theoretical study for redesign of an agricultural package applying ecodesign strategies and CAD/CAE tools. DYNA, 96(4), 435–440. https://doi.org/10.6036/9979
dc.relation.isbasedonPlaščak, I., Barač, Ž., Radočaj, D., & Zimmer, D. (2021). Sensors and Their Application in Precision Agriculture. Tehnički Glasnik, 15(4), 529–533. https://doi.org/10.31803/tg-20201015132216
dc.relation.isbasedonSabasi, D., Shumway, C. R., & Kompaniyets, L. (2021). Analysis of Credit Access, U.S. Agricultural Productivity, and Residual Returns to Resources. Journal of Agricultural and Applied Economics, 53(3), 1–27. https://doi.org/10.1017/aae.2021.17
dc.relation.isbasedonSadoulet, E., & Janvry, A. (1995). Quantitative Development Policy Analysis. London: The Johns Hopkins University Press.
dc.relation.isbasedonTan, L. (2018). Analysis on the role of financial capital in agricultural transformation and upgrading. Agricultural Economy, 375(7), 105–107.
dc.relation.isbasedonvon Cramon-Taubadel, S., & Saldias, R. (2014). Access to credit and determinants of technical inefficiency of specialized smallholder farmers in Chile. Chilean Journal of Agricultural Research, 74(4), 413–420. https://doi.org/10.4067/S0718-58392014000400006
dc.relation.isbasedonWang, X. L., & Qin, X. Q. (2020). Poverty alleviation ecosystem evolutionary game on smart supply chain platform under the government financial platform incentive mechanism. Journal of Computational and Applied Mathematics, 372(7), 1–37. https://doi.org/10.1016/j.cam.2019.112595
dc.relation.isbasedonWang, X. N. (2011). The influence of agricultural loan and agricultural insurance on agricultural output. China’s Rural Economy, 27(10), 44–51.
dc.relation.isbasedonWen, T., & He, Q. (2020). The historical orientation and realistic choice of China’s rural financial reform. Research on Financial and Economic Issues, 438(5), 3–12. https://doi.org/10.19654/j.cnki.cjwtyj.2020.05.001
dc.relation.isbasedonWen, T., & Wang, Y. Y. (2005). The economic effect of government-led agricultural credit and financial support for agriculture – Based on China’s experience from 1952 to 2002. China’s Rural Economy, 21(10), 18–27.
dc.relation.isbasedonWu, H. J., Zhou, S. D., & Liu, J. S. (2017). Study on the influence of financial support to agriculture expenditure on agricultural production: Jiangsu evidence. Research on Financial and Economic Issues, 404(7), 65–72. https://doi.org/10.19654/j.cnki.cjwtyj.2017.07.009
dc.relation.isbasedonXiao, G., & Xu, K. (2012). Influence of rural financial development on contribution rate of agricultural science and technology progress: An empirical study based on provincial dynamic panel data model. Journal of Agrotechnical Economics, 31(8), 87–96. https://doi.org/10.13246/j.cnki.jae.2012.08.002
dc.relation.isbasedonYang, D., & Guo, Y. Q. (2007). Agricultural loan efficiency in China. Financial Research, 50(9), 151–159.
dc.relation.isbasedonYao, L., Xie, J. Z., & Li, W. J. (2010). Technological progress, capital input and agricultural output growth. Financial Theory and Practice, 372(7), 9–15.
dc.relation.isbasedonZeller, M., & Sharma, M. (2000). Many borrow, more save, and all insure: Implications for food and micro-finance policy. Food Policy, 25(2), 143–167. https://doi.org/10.1016/S0306-9192(99)00065-2
dc.relation.isbasedonZhang, L. Z., Li, J. Y., & Yu, H. L. (2015). Empirical study on the relationship between rural financial development and agricultural technological progress: an example of Guangdong Province. Agricultural Economic Research, 186(1), 110–117. https://doi.org/10.13962/j.cnki.37-1486/f.2015.01.015
dc.relation.isbasedonZhang, Y. C., & Dai, Y. X. (2018). The impact of rural infrastructure F on agricultural economic growth: Empirical analysis based on national provincial panel data. Journal of Agrotechnical Economics, 37(3), 90–99. https://doi.org/10.13246/j.cnki.jae.2018.03.007
dc.relation.isbasedonZhou, M. L. (2018). Research on path innovation of coordination between inclusive finance and targeted poverty alleviation. Journal of Nanjing Agricultural University (Social Science Edition), 18(2), 149–156.
dc.relation.isbasedonZhou, X. B., & Li, B. L. (2003). Empirical analysis of Agricultural credit on agricultural output performance in China. China’s Rural Economy, 19(6), 32–36.
dc.relation.isbasedonZhu, X. Z. (2015). Analysis on the effect of rural financial supply on agricultural output under the new normal. The Agricultural Economy, 27(12), 106–107
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectrural financeen
dc.subjectagricultural output effecten
dc.subjectextended regression modelen
dc.subjectendogeneityen
dc.subject.classificationQ14
dc.titleAGRICULTURAL OUTPUT EFFECT OF RURAL FINANCE: AN EXTENDED REGRESSION APPROACHen
dc.typeArticleen
local.accessopen
local.citation.epage22
local.citation.spage4
local.facultyFaculty of Economics
local.filenameEM_2_2022_1
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue2
local.relation.volume25
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
EM_2_2022_01.pdf
Size:
585.52 KB
Format:
Adobe Portable Document Format
Description:
článek
Collections