IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i9p1331-d900244.html
   My bibliography  Save this article

Dynamic Relationship between Agricultural Technology Progress, Agricultural Insurance and Farmers’ Income

Author

Listed:
  • Caifeng Tan

    (College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China
    Department of Agricultural and Resource Economics, North Carolina State University, Raleigh, NC 27695, USA)

  • Jianping Tao

    (College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China)

  • Lan Yi

    (School of Public Policy and Administration, Nanchang University, Nanchang 330031, China)

  • Juan He

    (College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China)

  • Qi Huang

    (The People’s Bank of China Zhengzhou Central Sub-Branch, Zhengzhou 450018, China)

Abstract

The implementation of the agricultural insurance policy and advancement of agricultural technology has great significance for the development of the agricultural economy of China, and it is an important source of national stability and modernization and development of the agriculture sector. Agricultural insurance policy uses the expansion of agricultural technology progress in the process of evaluation, investigation and claims settlement, and so on. Agricultural technology progress is effective in the reduction of some agricultural risks, it also affects farmers’ agricultural insurance behaviors, and optimizes the operating environment of agricultural insurance. The objective of this research is to explore the relationship between agricultural technology progress, agricultural insurance and farmers’ income. It also explains the mutual/cooperative relationship between agricultural technology progress and agricultural insurance. It provides the theoretical basis and data support to verify the promotion effect of agricultural insurance and agricultural technology progress on farmers’ income. This gives the improvement path for alleviating the spatial imbalance of China’s agricultural development. Keeping in view the aforementioned background and this research explores the effects of agricultural technological progress and agricultural insurance on the farmers’ income level. The panel data used for this research were from 2004 to 2019 and were grouped into two parts: high-density agricultural insurance areas and low-density agricultural insurance areas. The relationship between agricultural technology progress, agricultural insurance and farmers’ income was estimated using the Panel Vector Autoregressive (PVAR) model. The results revealed that: (i) both agricultural technology progress and agricultural insurance have a positive effect on the farmers’ income level, but this effect varies across regions; (ii) impact of the agricultural insurance on farmers’ income is greater than the impact of agricultural technology progress on farmers’ income; and (iii) the role of agricultural insurance in promoting agricultural technology progress exists only in areas with high-density agricultural insurance. Therefore, when formulating policies, the policymakers should consider regional differences and characteristics, and adopt development models keeping in view regional variations in adaptability with different agricultural insurance densities, Moreover, they should improve agricultural security policies, optimize agricultural capital allocation, promote the transformation of the agricultural economy from extensional growth to connotative growth, and further improve the agricultural productive income of rural residents.

Suggested Citation

  • Caifeng Tan & Jianping Tao & Lan Yi & Juan He & Qi Huang, 2022. "Dynamic Relationship between Agricultural Technology Progress, Agricultural Insurance and Farmers’ Income," Agriculture, MDPI, vol. 12(9), pages 1-17, August.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1331-:d:900244
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/9/1331/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/9/1331/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Warr & Waleerat Suphannachart, 2021. "Agricultural Productivity Growth and Poverty Reduction: Evidence from Thailand," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 525-546, June.
    2. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    3. Brana, Sophie & Djigbenou, Marie-Louise & Prat, Stéphanie, 2012. "Global excess liquidity and asset prices in emerging countries: A PVAR approach," Emerging Markets Review, Elsevier, vol. 13(3), pages 256-267.
    4. Hans P. Binswanger-Mkhize, 2012. "Is There Too Much Hype about Index-based Agricultural Insurance?," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 187-200, February.
    5. Coble, Keith H. & Heifner, Richard G. & Zuniga, Manuel, 2000. "Implications Of Crop Yield And Revenue Insurance For Producer Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-21, December.
    6. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    7. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    8. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications - Books, The World Bank Group, number 2432, December.
    9. Fahad, Shah & Jing, Wang, 2018. "Evaluation of Pakistani farmers’ willingness to pay for crop insurance using contingent valuation method: The case of Khyber Pakhtunkhwa province," Land Use Policy, Elsevier, vol. 72(C), pages 570-577.
    10. Yuqiang Gao & Yongkang Shu & Hongjie Cao & Shuting Zhou & Shaobin Shi, 2021. "Fiscal Policy Dilemma in Resolving Agricultural Risks: Evidence from China’s Agricultural Insurance Subsidy Pilot," IJERPH, MDPI, vol. 18(14), pages 1-11, July.
    11. Hoang, Viet-Ngu & Coelli, Tim, 2011. "Measurement of agricultural total factor productivity growth incorporating environmental factors: A nutrients balance approach," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 462-474.
    12. Barry K. Goodwin, 2001. "Problems with Market Insurance in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 643-649.
    13. Mincer, Jacob, 1996. "Economic Development, Growth of Human Capital, and the Dynamics of the Wage Structure," Journal of Economic Growth, Springer, vol. 1(1), pages 29-48, March.
    14. Raju, S.S. & Chand, Ramesh, 2008. "A Study on the Performance of National Agricultural Insurance Scheme and Suggestions to Make it More Effective," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 21(1).
    15. Jinhong Wan & Ruoxi Li & Wenxin Wang & Zhongmei Liu & Bizhen Chen, 2016. "Income Diversification: A Strategy for Rural Region Risk Management," Sustainability, MDPI, vol. 8(10), pages 1-12, October.
    16. Yujiro Hayami & Robert W. Herdt, 1977. "Market Price Effects of Technological Change on Income Distribution in Semisubsistence Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(2), pages 245-256.
    17. Lan Yi & Jianping Tao & Caifeng Tan & Zhongkun Zhu, 2019. "Avian Influenza, Public Opinion, and Risk Spillover: Measurement, Theory, and Evidence from China’s Broiler Market," Sustainability, MDPI, vol. 11(8), pages 1-44, April.
    18. Guan, Linlin & Men, Ke-pei, 2009. "Cluster Analysis on Per Capita Net Income of Rural Households in China," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 1(06), pages 1-4, June.
    19. Vincent H. Smith & Barry K. Goodwin, 1996. "Crop Insurance, Moral Hazard, and Agricultural Chemical Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 428-438.
    20. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    21. Tingting Huang & Bin Xiong, 2022. "Space Comparison of Agricultural Green Growth in Agricultural Modernization: Scale and Quality," Agriculture, MDPI, vol. 12(7), pages 1-17, July.
    22. K. Sato, 1966. "On the Adjustment Time in Neo-classical Growth Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 33(3), pages 263-268.
    23. Bruce J. Sherrick & Peter J. Barry & Paul N. Ellinger & Gary D. Schnitkey, 2004. "Factors Influencing Farmers' Crop Insurance Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 103-114.
    24. Michael R.M. Abrigo & Inessa Love, 2016. "Estimation of Panel Vector Autoregression in Stata: a Package of Programs," Working Papers 201602, University of Hawaii at Manoa, Department of Economics.
    25. Hongbin Cai & Yuyu Chen & Hanming Fang & Li-An Zhou, 2015. "The Effect of Microinsurance on Economic Activities: Evidence from a Randomized Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 287-300, May.
    26. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2008. "Total factor productivity growth in China's agricultural sector," China Economic Review, Elsevier, vol. 19(4), pages 580-593, December.
    27. Zhao, Yaohui, 2002. "Causes and Consequences of Return Migration: Recent Evidence from China," Journal of Comparative Economics, Elsevier, vol. 30(2), pages 376-394, June.
    28. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    29. Liu, Yunhua & Wang, Xiaobing, 2005. "Technological progress and Chinese agricultural growth in the 1990s," China Economic Review, Elsevier, vol. 16(4), pages 419-440.
    30. Yuyu Liu & Duan Ji & Lin Zhang & Jingjing An & Wenyan Sun, 2021. "Rural Financial Development Impacts on Agricultural Technology Innovation: Evidence from China," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hui Zhang & Jing Li & Tianshu Quan, 2023. "Strengthening or Weakening: The Impact of an Aging Rural Workforce on Agricultural Economic Resilience in China," Agriculture, MDPI, vol. 13(7), pages 1-16, July.
    2. Shipeng Yang & Wanxiang Xu & Yuxuan Xie & Muhammad Tayyab Sohail & Yefang Gong, 2023. "Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    3. Min Zhao & Peipei Chu, 2022. "Does the Inclusive Financial Policy Innovation Promote Rural Revitalization—A Synthetic Control Test of a National Pilot Zone for Inclusive Financial Reform," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    4. Hongjun Ni & Zhiwei Shi & Stephen Karungaru & Shuaishuai Lv & Xiaoyuan Li & Xingxing Wang & Jiaqiao Zhang, 2023. "Classification of Typical Pests and Diseases of Rice Based on the ECA Attention Mechanism," Agriculture, MDPI, vol. 13(5), pages 1-15, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joan Costa-Font & Cristina Vilaplana-Prieto, 2023. "‘Investing’ in care for old age? An examination of long-term care expenditure dynamics and its spillovers," Empirical Economics, Springer, vol. 64(1), pages 1-30, January.
    2. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
    3. Sigmund, Michael & Ferstl, Robert, 2021. "Panel vector autoregression in R with the package panelvar," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 693-720.
    4. Björn Brey & Matthias S. Hertweck, 2023. "The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(3), pages 616-654, July.
    5. Kacou Yves Thierry Kacou & Yacouba Kassouri & Andrew Adewale Alola & Mehmet Altuntaş, 2022. "Examining the sustainable development approach of migrants' remittances and financial development in sub‐Saharan African countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 804-816, October.
    6. Thi Hong Hanh Pham, 2022. "Shadow Economy and Poverty: What Causes What?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 861-891, December.
    7. Oluwatosin Adeniyi & Terver T Kumeka & Samuel Orekoya & Wasiu Adekunle, 2023. "Impact of tourism development on inclusive growth: A panel vector autoregression analysis for African economies," Tourism Economics, , vol. 29(3), pages 612-642, May.
    8. Lin, Woon Leong & Law, Siong Hook & Ho, Jo Ann & Sambasivan, Murali, 2019. "The causality direction of the corporate social responsibility – Corporate financial performance Nexus: Application of Panel Vector Autoregression approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 401-418.
    9. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    10. Qureshi, Fiza & Khan, Habib Hussain & Rehman, Ijaz Ur & Ghafoor, Abdul & Qureshi, Saba, 2019. "Mutual fund flows and investors’ expectations in BRICS economies: Implications for international diversification," Economic Systems, Elsevier, vol. 43(1), pages 130-150.
    11. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    12. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).
    13. Paul-Olivier Klein & Rima Turk-Ariss, 2022. "Bank capital and economic activity," Post-Print hal-03955630, HAL.
    14. Fatma Pinar Erdem Kucukbicakci & Etkin Ozen & Ibrahim Unalmis, 2020. "Are Macroprudential Policies Effective Tools to Reduce Credit Growth in Emerging Markets?," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 6(1), pages 73-89, June.
    15. Qureshi, Irfan & Liaqat, Zara, 2020. "The long-term consequences of external debt: Revisiting the evidence and inspecting the mechanism using panel VARs," Journal of Macroeconomics, Elsevier, vol. 63(C).
    16. Qureshi, Fiza & Kutan, Ali M. & Ismail, Izlin & Gee, Chan Sok, 2017. "Mutual funds and stock market volatility: An empirical analysis of Asian emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 176-192.
    17. Balázs Lengyel & Rikard H. Eriksson, 2017. "Co-worker networks, labour mobility and productivity growth in regions," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 635-660.
    18. Zouaoui, Haykel & Zoghlami, Feten, 2020. "On the income diversification and bank market power nexus in the MENA countries: Evidence from a GMM panel-VAR approach," Research in International Business and Finance, Elsevier, vol. 52(C).
    19. Abebe Hailemariam & Tutsirai Sakutukwa & Ratbek Dzhumashev, 2021. "Long-term determinants of income inequality: evidence from panel data over 1870–2016," Empirical Economics, Springer, vol. 61(4), pages 1935-1958, October.
    20. N. R. Bhanumurthy & Lokendra Kumawat, 2020. "Financial Globalization and Economic Growth in South Asia," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 21(1), pages 31-57, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1331-:d:900244. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.