Nganjuk Regency's Agricultural Sector Growth Model Using a Dynamic System Approach
DOI:
https://doi.org/10.55927/ijbae.v4i5.401Keywords:
Agricultural Sector, Dynamic Systems, Productivity Growth, Total Factor Productivity, Agricultural PolicyAbstract
This thesis aims to develop and analyze a growth model for the agricultural sector in Nganjuk Regency using a dynamic systems approach, given the sector's importance to the regional economy, which faces challenges such as declining contributions to GRDP, climate change, and low technology adoption. The research method used is a quantitative approach through dynamic systems modeling that analyzes the interactions between capital, labor, and total factor productivity (TFP). The results indicate that increasing TFP through the application of precision agriculture technology can increase productivity by an average of 4.6% per year, while increasing capital and labor only result in growth of 2.8% and 1.0% per year, respectively. These findings emphasize the importance of integrating capital investment, improving labor quality, and technological innovation to achieve sustainable agricultural sector growth in Nganjuk Regency.
References
Abdul Hadid; S Jumiyati; B Toknok; P Dua; Haeruddin Haeruddin (2023). Adoption and Development Strategies for Sustainable Agriculture Based on Climate-Smart Agriculture.
Annisa Ilmi Faried; Uswatun Hasanah; Kiki Hardiansyah Siregar; Jeniusman Ahmad Hutagalung (2024). Increasing Agricultural Productivity Through Technology Adoption: A Case Study on the Role of Millennial Farmers in Implementing Agricultural Innovations in Pamah Simelir Village.
Aswan Munang, Isnaini Nurisusilawati (2022). Modeling Underlying Pattern Making Construction Safety Risk Mitigation Decisions Using Dynamic Systems.
A F Fudhlaa, W Rachmawati, and D Retnowati (2020). Analysis of Sugar Import Policy Effects on Sugar Cane Farmer’s Income in East Java: A System Dynamic Approach.
Béchir Ben Lahouel, Lotfi Taleb, Younes Ben Zaied, Shunsuke Managi (2021). Does ICT Change the Relationship Between Total Factor Productivity and CO2 Emissions? Evidence Based on a Nonlinear Model.
Bernard, H. R. (2002). Research Methods in Anthropology: Qualitative and Quantitative Approaches. Altamira Press.
Boserup, E. (1965). The Conditions of Agricultural Growth: The Economics of Agrarian Change Under Population Pressure. Aldine Publishing Company.
Daniel, M. (2004). Increasing Agricultural Productivity: Factors Influencing It. Agricultural Research Journal, 12(3), 45-56.
Dyah Lintang Trenggonowati, Imam Safi’I, and Ani Umyati (2020). Dynamic System Modeling in Determining Suppliers Using Powersim Simulation.
Evenson, R. E., & Pray, C. E. (1991). Research and Productivity in Asian Agriculture. Yale University Press.
Fuglie, K. O. (2012). Productivity Growth in Agriculture: An International Perspective. International Food Policy Research Institute (IFPRI).
Gregorios Yogas Sundara, Paulina Kus Ariningsih (2020). System Dynamic Approach to Improve Emergency Response in Humanitarian Logistics in Indonesia.
Irawan, S., et al. (2003). Analysis of Factors Causing the Slowdown of Rice Commodity Productivity. Agricultural Science Journal, 5(2), 23-34.
I Anna Tul Munikhah, Ade Yanyan Ramdhani, Aiza Yudha Pratama, Ratih Windu Arini (2022). Scenario Analysis of Indonesian Ferronickel Supply Chain Resilience with System Dynamics.
Jingxiao Zhang, Martin Skitmore, and Pablo Ballesteros-Pérez (2022). A Critical Review of the Current Research Mainstreams and the Influencing Factors of Green Total Factor Productivity.
Johnson, L., & Martinez, F. (2020). Decision-Making Models in Agriculture: Tools for Improving Productivity. Agricultural Systems.
Krisnawati, E. (2021). Economic Growth Theory: Approaches and Implications. Journal of Development Economics, 9(4), 67-80.
Kumar, P., & Singh, A. (2023). The Role of Technology in Enhancing Agricultural Productivity. Journal of Agricultural Technology.
Mangkuprawira, S. (2007). Agricultural Productivity and Factors Affecting It. Indonesian Agriculture Journal, 15(1), 12-20.
Maulana Hassan Syafrudin and Nunung Nurhasanah (2020). Designing Sales Strategy Using System Dynamics at CV. Gajah Mungkur.
Mohammad F Anggarda; Iwan Kustiawan; Deasy R Nurjanah; Nurul F A Hakim (2023). Development of an Optimal Watering Time Prediction System in Plantations: A Machine Learning Approach for Increasing Agricultural Productivity.
Muhammad Arief Rahmadsah Siregar (2023). Increasing Agricultural Productivity Through the Implementation of Integrated Agricultural Systems.
Muhammad Dika Ima Dudin, Agung Suryawan Wiranatha, and Cokorda Anom Bayu Sadyasmara (2020). Simulation of Dynamic System Model of Garlic (Allium sativum, L.) Availability in Bali Province.
Notoatmodjo, S. (2010). Health Research Methodology. Rineka Cipta.
Putra, A. A., & Santoso, B. (2022). Agricultural Policy and Economic Growth in Indonesia. Journal of Economics and Public Policy, 10(3), 250-265.
Putu Indra Kurniawan; Naftah Yulia Azizah (2024). The Effect of Capital Addition on Agricultural Productivity of Tobacco in Buleleng Regency.
Rahman, S., & Syafii, M. (2020). The Role of the Agricultural Sector in Regional Economic Development: A Case Study of East Java. Journal of Development Economics, 19(1), 45-60.
Ria Setiyawati, Hadi Sasana, Yustirania Septiani (2020). Analysis of Total Factor Productivity (TFP) Growth in 6 ASEAN Countries from 2008-2017.
Rukmana, D. (2021). Agricultural Productivity and Economic Growth in Indonesia: Evidence from Panel Data. Journal of Indonesian Economic Studies, 5(1), 15-30.
Santoso Sugeng, Soehari, T. D., Aprianto, Y., Andrean, D., & Henny. (2020). Value Creation in Fisheries Supply Chain as a Role Model for Fish Protein Hydrolyzate Cluster Development.
Santoso Sugeng, Arfeo Natanael, Ari Ana Fatmawati, Ariela Griselda, Jeshica Khoirunnisa, Martua Simanjuntak, and A. A. Raka Bagus (2021). Analysis of Export Platform Development in the Culinary Subsector from an Innovation System Model Perspective.
Santoso Sugeng, Ratih Minanda, Rizki Swastantomo, Kusnadi Kusnadi, Linda Syarifah (2022). The Relationship Between Job Characteristics, Compensation, and Transformational Leadership on Operational Performance (Case Study of Ready-Mix Concrete Company at PT. XYZ Area Banten).
Santoso Sugeng, Widyanty W, Nurhidajat R, Ramadhani Marfatah M, Mahmud G, Fahlevi M, Aljuaid M, Zhghenti T, and Shahid D (2022). System Dynamics Modeling for Developing an Agrotourism-Creative Economy in the Framework of the Village Innovation System.
Santoso Sugeng, Salachudin Emir (2023). The Impact of Supply Chain Management on Operational Performance Through Competitive Advantage at PT. XYZ.
Sjafrijal, A. (2018). The Role of Neoclassical Growth Theory in Economic Development. Journal of Economic Development, 15(2), 78-89.
Smith, J., Doe, A., and Roe, B. (2020). Impact of Online Pedagogical Feedback on Academic Performance: A Comparative Study.
Sugiyono. (2010). Quantitative, Qualitative, and R&D Research Methods. Alfabeta.
UNDP. (2020). Sustainable Development Goals: Indonesia’s Progress Report. United Nations Development Programme.
Wiebe, K. S. (2003). Agricultural Productivity in the United States: Trends and Determinants. USDA Economic Research Service.
Winarno, F. G. (2013). Social Research Methodology. Rajawali Pers.
Yudhistira, A. (2020). Dynamic Systems in Agricultural Analysis: Approaches and Applications. Journal of Dynamic Systems, 6(2), 100-110.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Raymond Stefanus

This work is licensed under a Creative Commons Attribution 4.0 International License.


























