The Jinsui Model for Improving Agricultural Economic Performance in Long’an County, Guangxi Province
Keywords:
Jinsui model, Agricultural economic performance, Agricultural production efficiency, Farmer incomeAbstract
The research objectives are 1) to identify the key factors affecting agricultural economic performance in Long’an County, Guangxi Province, and 2) to propose guidelines based on the Jinsui model for improving agricultural economic performance in Long’an County, Guangxi Province. The study employed a quantitative approach.
A structured questionnaire was employed to collect data from a sample of 352 farmers, selected through the simple random sampling technique. The data were analyzed using descriptive statistics such as frequency, percentage, mean, and standard deviation, as well as inferential statistics such as correlation analysis and multiple regression.
The research findings revealed that agricultural economic performance in Long’an County is shaped by multiple factors acting together rather than any single dominant driver. Financial services had the strongest impact on production efficiency, while technical support was most influential for farmer income. Other factors—policy support, market access, farmer cooperation,
and management capability—also contributed positively, though all effect sizes were small. Together, these factors explained over 40% of the variance in production efficiency and nearly 39% in farmer income, confirming the importance of an integrated approach. Based on these findings, six key guidelines are recommended: improve policy support, strengthen technical assistance, expand financial services, enhance market access, develop management capacity, and promote farmer cooperation. Together, these measures can advance sustainable and inclusive agricultural development in Long’an County.
References
Agricultural Bank of China. (2016). Corporate social responsibility report. Retrieved from https://www.abchina.com/cn/aboutabc/csr/CSRReport/201603/P020200312572549850834.pdf
Ahmed, S. K. (2024). How to choose a sampling technique and determine sample size for research: A simplified guide for researchers. Oral Oncology Reports, 12, 100662. https://doi.org/10.1016/j.oor.2024.100662
Almanasreh, E., Moles, R., & Chen, T. F. (2019). Evaluation of methods used for estimating content validity. Research in Social and Administrative Pharmacy, 15(2), 214-221. https://doi.org/10.1016/j.sapharm.2018.03.066
Baryshnikova, N., Altukhov, P., Naidenova, N., & Shkryabina, A. (2022). Ensuring global food security: Transforming approaches in the context of agriculture 5.0. In IOP conference series: earth and environmental science (Vol. 988, No. 3, p. 032024). Bristol, UK: IOP Publishing.
Boone Jr, H. N., & Boone, D. A. (2012). Analyzing likert data. The Journal of Extension, 50(2), 48. https://doi.org/10.34068/joe.50.02.48
Bwambale, E., Abagale, F. K., & Anornu, G. K. (2022). Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review. Agricultural Water Management, 260, 107324. https://doi.org/10.1016/j.agwat.2021.107324
Candemir, A., Duvaleix, S., & Latruffe, L. (2021). Agricultural cooperatives and farm sustainability–A literature review. Journal of Economic Surveys, 35(4), 1118-1144. https://doi.org/10.1111/joes.12417
Chen, X., Wang, Z., He, S., & Li, F. (2013). Programme management of world bank financed small hydropower development in Zhejiang Province in China. Renewable and Sustainable Energy Reviews, 24, 21-31. https://doi.org/10.1016/j.rser.2013.03.045
Dong, J., Yun, W., Wu, K., Li, S., Liu, B., & Lu, Q. (2023). Spatio-Temporal Analysis of Cultivated Land from 2010 to 2020 in Long’an County, Karst Region, China. Land, 12(2), 515. https://doi.org/10.3390/land12020515
Gong, M., Zhong, Y., Zhang, Y., Elahi, E., & Yang, Y. (2023). Have the new round of agricultural land system reform improved farmers' agricultural inputs in China?. Land Use Policy, 132, 106825. https://doi.org/10.1016/j.landusepol.2023.106825
Harsono, I. (2024). Green development in Indonesia: Socioeconomic impacts, environmental effects, and the role of social entrepreneurship. International Journal of Business, Law, and Education, 5(1), 412-430. https://doi.org/10.56442/ijble.v5i1.400
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th Edition.). Cengage Learning.
Islam, M. Z. (2024). Can China’s rural revitalisation policies be an example for other countries aligning with sustainable development goals (SDGs)-1, 2 and 12?. China Agricultural Economic Review, 16(4), 763-786. https://doi.org/10.1108/CAER-10-2023-0301
Khudoynazarovich, K. S. (2021). The role of digital technologies in agricultural development and foreign experience. TRANS Asian Journal of Marketing & Management Research (TAJMMR), 10(2and3), 19-29. https://doi.org/10.5958/2279-0667.2021.00003.1
Li, J., Liu, G., Chen, Y., & Li, R. (2023). Study on the influence mechanism of adoption of smart agriculture technology behavior. Scientific Reports, 13(1), 8554. https://doi.org/10.1038/s41598-023-35091-x
Li, J., Shi, J., Cao, R., Wu, J., & Liu, J. (2024). How e-commerce can boost China’s high-quality agricultural exports. Frontiers in Sustainable Food Systems, 8, 1372129. https://doi.org/10.3389/fsufs.2024.1372129
Liang, Q., Ma, K., & Liu, W. (2023). The role of farmer cooperatives in promoting environmentally sustainable agricultural development in China: a review. Annals of Public and Cooperative Economics, 94(3), 741-759. https://doi.org/10.1111/apce.12444
Lu, F., Meng, J., & Cheng, B. (2024). How does improving agricultural mechanization affect the green development of agriculture? Evidence from China. Journal of Cleaner Production, 472, 143298. https://doi.org/10.1016/j.jclepro.2024.143298
Matouk, E., Ghezzo, R. H., Gruber, J., Hidvegi, R., & Gray-Donald, K. (1997). Internal consistency reliability and predictive validity of a modified N. Huang clinical scoring system in adult cystic fibrosis patients. European respiratory journal, 10(9), 2004-2013. https://doi.org/10.1183/09031936.97.10092004
Mondliwa, P., Roberts, S., & Ponte, S. (2021). Competition and power in global value chains. Competition & Change, 25(3-4), 328-349. https://doi.org/10.1177/1024529420975154
Qin, T., Wang, L., Zhou, Y., Guo, L., Jiang, G., & Zhang, L. (2022). Digital technology-and-services-driven sustainable transformation of agriculture: Cases of China and the EU. Agriculture, 12(2), 297. https://doi.org/10.3390/agriculture12020297
Sun, B., Luo, Y., Yang, D., Yang, J., Zhao, Y., & Zhang, J. (2023). Coordinative management of soil resources and agricultural farmland environment for food security and sustainable development in China. International Journal of Environmental Research and Public Health, 20(4), 3233. https://doi.org/10.3390/ijerph20043233
Tadele, E. (2021). Land and heterogenous constraints nexus income diversification strategies in Ethiopia: systematic review. Agriculture & Food Security, 10, 1-14. https://doi.org/10.1186/s40066-021-00338-1
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 53. https://doi.org/10.5116/ijme.4dfb.8dfd
Wang, G., Shi, R., Mi, L., & Hu, J. (2022). Agricultural eco-efficiency: Challenges and progress. Sustainability, 14(3), 1051. https://doi.org/10.3390/su14031051
Wang, R., Bai, Y., Huang, Z., Fang, Z., Alatalo, J. M., Tao, L., & Guo, G. (2025). Drought exacerbates the trade-offs and distributional imbalances of regional ecosystem services: a case study in Yunnan Province, China. Regional Environmental Change, 25(1), 1-13. https://doi.org/10.1007/s10113-025-02359-z
Wang, S., Bai, X., Zhang, X., Reis, S., Chen, D., Xu, J., & Gu, B. (2021). Urbanization can benefit agricultural production with large-scale farming in China. Nature Food, 2(3), 183-191.
Wang, X., Shi, J., Li, J., Chen, Y., Liu, J., & Sriboonchitta, S. (2023). Analysis on trade competition and complementarity of high-quality agricultural products in countries along the belt and road initiative. Sustainability, 15(8), 6671. https://doi.org/10.3390/su15086671
Xie, S., Zhang, J., Li, X., Xia, X., & Chen, Z. (2024). The effect of agricultural insurance participation on rural households' economic resilience to natural disasters: evidence from China. Journal of Cleaner Production, 434, 140123. https://doi.org/10.1016/j.jclepro.2023.140123
Xiuling, D., Qian, L., Lipeng, L., & Sarkar, A. (2023). The Impact of technical training on farmers adopting water-saving irrigation technology: An empirical evidence from China. Agriculture, 13(5), 956. https://doi.org/10.3390/agriculture13050956
Xu, Y., Lyu, J., Xue, Y., & Liu, H. (2022). Intentions of farmers to renew productive agricultural service contracts using the Theory of Planned Behavior: An empirical study in Northeastern China. Agriculture, 12(9), 1471. https://doi.org/10.3390/agriculture12091471
Yamane, T. (1967). Statistics: An introductory analysis (2nd Edition.). New York, NY: Harper and Row.
Yang, Y., Lian, D., Zhang, Y., Wang, D., & Wang, J. (2024). Towards sustainable agricultural development: integrating small-scale farmers in China through agricultural social services. Journal of the Knowledge Economy, 1-42. https://doi.org/10.1007/s13132-024-01742-1
Yang, Z., & Solangi, Y. A. (2024). Analyzing the relationship between natural resource management, environmental protection, and agricultural economics for sustainable development in China. Journal of Cleaner Production, 450, 141862. https://doi.org/10.1016/j.jclepro.2024.141862
Yaska, M., & Nuhu, B. M. (2024). Assessment of measures of central tendency and dispersion using likert-type scale. African Journal of Advances in Science and Technology Research, 16(1), 33-45. https://doi.org/10.62154/ajastr.2024.016.010379
Zhang, Y. (2024). Research on China’s agricultural product sales transformation: online marketing mix strategy and performance on post pandemic area. Frontiers in Sustainable Food Systems, 7, 1297732. https://doi.org/10.3389/fsufs.2023.1297732
Zhu, K. (2023). Rural area and agricultural region revitalisation modelling. Land Degradation & Development, 34(1), 42-51. https://doi.org/10.1002/ldr.4442
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