International Journal of Nonlinear Analysis and Applications

Dynamic modeling for improving investment in the agricultural sector of the country

Document Type : Research Paper

Authors

1 Department of Financial Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran

2 Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran

3 Department of Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran

Abstract

Investment in the agricultural sector has a crucial role in the economic growth of the country. The variability of investment expenses on the one hand, and the extent and potential capacities of the agricultural sector on the other hand, increases the necessity of investigating the factors affecting the improvement of investment in this sector. Developing a dynamic model is an appropriate approach for analyzing complex feedback systems to improve investment in the agricultural sector of the country. In the present study, library research and interviews with experts were used to identify the factors affecting the improvement of investment in the agricultural sector in the country to develop a dynamic model. The participants of the present study include 20 experts in the natural resources management organization of the country and several university expert professors in the field of agriculture finance were interviewed. Based on the opinion of experts the key variables were identified and cause-and-effect and mathematical relationships between these variables were evaluated in the form of two diagrams of cause and effect and the flow state diagram in the dynamics system approach during the years 2011 to 2025 were simulated in the Vensim software. Then different scenarios were examined aimed to increase and improve the investment in the agricultural sector of the country. The findings show that by implementing policies to improve investment in the agricultural sector through increasing exports and implementing land protection laws and regulations, investment in the agricultural sector of the country can be improved.

Keywords

[1] M. Abdollahi, F. Mohammadi-Nasrabadi, A. Houshiarrad, M. Ghaffarpur, and D. Ghodsi, Socioeconomic differences in dietary intakes: The comprehensive study on household food consumption patterns and nutritional status of I.R. Iran, Nutrition Food Sci. Res. 1 (2014), no. 1, 19–26.
[2] A.B. Adebayo, Youths’ unemployment and crime in Nigeria: A nexus and implications for national development, Int. J. Socio. Anthropol. 5 (2013), no. 8, 350–357.
[3] E. Adipala, A.R. Semana, J.M. Erbaugh, and M. Amujal, Dissemination and adoption of cowpea and groundnut IMP Integrated Pest Management Collaborative Research Support Program (IPM CRSP), Annual Workplan for Year Eleven (2003 to 2004). Virginia Tech, Blacksburg, 2003.
[4] A. Amini, A. Khosrovinejad, and Z. Alizadeh, Evaluation of the impact of export development on employment, a case study of high-tech industries in Iran, J. Financ. Econ. 6 (2011), no. 19, 134–174.
[5] P.Balogh, A. Bujdos, I. Czibere, L. Fodor, and Z. Gabnai, Main motivational factors of farmers adopting precision farming in Hungary, Agronomy 10 (2020), no. 4, 610.
[6] D. Bond, R. Arnott, and Sh. Ardron, Guidelines for estimating crop production costs, www.manitoba.ca/agriculture CropPlan Production Cost Calculator, 2021, 1-16.
[7] M. Daniali De Hoz, S.M. Allameh, and A. Safari, Designing a model of succession management with an approach of the grounded theory, Transf. Manag. J. 10 (2018), no. 1, 105–140.
[8] P. Dionysopoulou, Agritourism entrepreneurship in Greece: Policy framework, inhibitory factors and a roadmap for further development, J. Sustain. Tourism Entrepreneur. 2 (2021), no 1, 1–13.
[9] T. Dutta, A. Rawat, and N. Singh, Changing Role of Agriculture in Income and Employment, and rends of Agricultural Worker Productivity in Indian States, Indian J. Econ. Dev. 16 (2020), 183–189.
[10] A. Finco, G. Bucci, M Belletti, and D. Bentivoglio, The economic results of investing in precision agriculture in durum wheat production: A case study in central Italy, Agronomy 11 (2021), no. 8, 1520.
[11] D. Foster, R.G. Lawver, and A.R. Smith, National agricultural education supply and demand study, Agribusiness 47 (2016), 1–2.
[12] T. Havemann, C. Negra, and F. Werneck, Blended finance for agriculture: exploring the constraints and possibilities of combining financial instruments for sustainable transitions, Social Innovation and Sustainability Transition, Cham, Springer Nature Switzerland, 2022, pp. 347–358.
[13] M. Houshmand, H. Hassannejad, and A. Ghezelbash, Investing in education and its effect on the economic growth of some selected developing countries, Iran. Higher Educ. Quart. J. 6 (2014), no. 1, 14–26.
[14] A.M. Komarek, A. De Pintoa, and V.H. Smith, A review of types of risks in agriculture: What we know and what we need to know, Agricul. Syst. 178 (2020), 102738.
[15] M. Mackenzie, The post-2020 common agricultural policy: Enviromental benefits and simplification, European Network for Rural Development, Belgium, Retrieved from https://policycommons.net/artifacts/1928483/the-post- 2020-common-agricultural-policy/2680253/ on 12 May 2023. CID: 20.500.12592/svct60.
[16] S. Mellon-Bedi, K. Descheemaeker, B. Hundie-Kot, S.S. Frimpong, and J.C.J. Groo, Motivational factors influencing farming practices in northern Ghana, NJAS-Wageningen J. Life Sci. 92 (2020), 100326.
[17] R. MugandaniL, Mwadzingeni, and P. Mafongoya, Contribution of conservation agriculture to soil security, Sustainability 13 (2021), no. 17, 9857.
[18] N. Njegovan and M. Tomas Simin, Inflation and prices of agricultural products, Econ. Themes 58 (2020), no. 2, 203–217.
[19] V. Saiz-Rubio and F. Rovira-Mas, From smart farming towards agriculture 5.0: A review on crop data management, Agronomy 10 (2020), no. 2, 207.
[20] L. Sato, The State of Social Insurance for Agricultural Workers in the Near East and North Africa and Challenges for Expansion, Food and Agriculture Org., 2021.
[21] M. Schut, J. RodenburgL. L. Klerkx, A. van Ast, and L. Bastiaans, Systems approaches to innovation in crop protection, A systematic literature review, Crop Protect. 56 (2014), 98–108.
[22] Z. Shi, H. Wu. Huang, Y. Chiu, and Y. Qin, Climate change impacts on agricultural production and crop disaster area in China, Int. J. Environ. Res. Public Health 17 (2020), 4792.
[23] J. Singh, T. Dutta, A. Rawat, and N. Singh, Changing role of agriculture in income and employment, and trends of agricultural worker productivity in Indian States, Indian J. Econ. Dev. 16 (2020), no. 2, 183–189.
[24] J.D. Sterman, System Dynamics: Systems Thinking and Modeling for a Complex World, Massachusetts Institute of Technology. Engineering Systems Division, 2002.
[25] F.A. Tari, The effect of bank facilities on the investment of industry, mining and agriculture sectors, Quart. J. New Econ. Trade, 14 (2019), no. 2, 1–24.
[26] P. Vrabcova and H. Urbancova, Use of human resources information system in agricultural companies in the Czech Republic, Agricul. Econ. 67 (2021), no. 5, 173–180.
[27] G. Wirakusuma and I. Irham, Can credit program improve agricultural productivity? Evidence from Indonesia, Int. Conf. Agribus. Rural Dev. (IConARD), 2021, pp. 1–12.
[28] M. Zachrison, Human resource management in agricultural sector, Health Safty Agricul. Nordic Worldwide Perspectives, Sweden, Ystad, 2012, pp. 1–5.
International Journal of Nonlinear Analysis and Applications
Volume 15, Issue 3
March 2024
Pages 315-327
  • Receive Date: 16 October 2022
  • Revise Date: 13 December 2022
  • Accept Date: 09 January 2023