A Solution Management in Handling Economic Inequality Among Agrarian Communities

  • Sri Wahyuni Jamal Faculty of Business Economics and Politics, Universitas Muhammadiyah Kalimantan Timur
  • Suparno Suparno Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada

Abstract

Agriculture has been an inherent part of human civilization for centuries. Therefore, this study aims to analyze the relationship between agricultural production and agricultural community income. The pattern of their relationship followed the dynamics of the Lotka-Volterra model. Two of the six critical phenomena that might occur: first, if the farmer's crop were abundant, the farmers' income would increase rapidly; second, if the farmers' yields decreased, the farmer's income would automatically decrease. Low and unstable farmer income could lead to poor productivity and low economic growth. Thus, monitoring and early warning were essential to effectively prevent possible negative impacts on agricultural product production, consumption, and changes in market prices. Sustainable agricultural systems included maintenance or enhancement of environmental natural resources, food supply, and social welfare. In brief, good agricultural management could maintain the balance of the ecosystem, contribute to the economy continuously, and increase agrarian communities' economic resilience.

Keywords: agrarian community; ecosystem; harvest cycle; income; Lotka-Volterra

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References

  • Abokyi, E., Strijker, D., Asiedu, K. F., & Daams, M. N. (2020). The Impact of Output Price Support on Smallholder Farmers’ Income: Evidence from Maize Farmers in Ghana. Heliyon, 6(9), e05013. https://doi.org/10.1016/j.heliyon.2020.e05013
  • Akudugu, M. A., Dittoh, S., & Mahama, E. S. (2012). The Implications of Climate Change on Food Security and Rural Livelihoods?: Experiences from Northern Ghana. Journal of Environment and Earth Science, 2(3), 21–29.
  • Al-Shayaa, M. S., Al-Wabel, M., Herab, A. H., Sallam, A., Baig, M. B., & Usman, A. R. A. (2021). Environmental Issues in Relation to Agricultural Practices and Attitudes of Farmers: A Case Study from Saudi Arabia. Saudi Journal of Biological Sciences, 28(1), 1080–1087. https://doi.org/10.1016/j.sjbs.2020.11.026
  • Amini, S., Rohani, A., Aghkhani, M. H., Abbaspour-Fard, M. H., & Asgharipour, M. R. (2020). Assessment of Land Suitability and Agricultural Production Sustainability using a Combined Approach (Fuzzy-AHP-GIS): A Case Study of Mazandaran Province, Iran. Information Processing in Agriculture, 7(3), 384–402. https://doi.org/10.1016/j.inpa.2019.10.001
  • Atozou, B., & Lawin, K. G. (2016). Impact of the Farm Income Stabilization Insurance Program on Production Decisions in the Quebec Pork Industry: An Empirical and Theoretical Analysis. Sustainable Agriculture Research, 5(4), 94–106. https://doi.org/10.5539/sar.v5n4p94
  • Bacaer, N. (2011). A Short History of Mathematical Population Dynamics. Springer-Verlag. https://doi.org/10.1007/978-0-85729-115-8
  • Bernaola, L., Cange, G., Way, M. O., Gore, J., Hardke, J., & Stout, M. (2018). Natural Colonization of Rice by Arbuscular Mycorrhizal Fungi in Different Production Areas. Rice Science, 25(3), 169–174. https://doi.org/10.1016/j.rsci.2018.02.006
  • BPS. (2018). Booklet Survei Angkatan Kerja Nasional Agustus 2018. Badan Pusat Statistik. https://www.bps.go.id/publication/2018/12/14/646b4fb626979f3e154e63d7/booklet-survei-angkatan-kerja-nasional-agustus-2018.html
  • BPS. (2019). Booklet Survei Angkatan Kerja Nasional Agustus 2019. Badan Pusat Statistik. https://www.bps.go.id/publication/2019/12/10/680c34c3a8c4955c235892c9/booklet-survei-angkatan-kerja-nasional-agustus-2019.html
  • BPS. (2021). Luas Panen, Produksi, dan Produktivitas Padi Menurut Provinsi 2018-2020. Badan Pusat Statistik. https://www.bps.go.id/indicator/53/1498/1/luas-panen-produksi-dan-produktivitas-padi-menurut-provinsi.html
  • Brauer, F., & Castillo-Chavez, C. (2012). Mathematical Models in Population Biology and Epidemiology. In Journal of Chemical Information and Modeling (Vol. 53, Issue 9). Springer-Verlag.
  • Braun, J. Von, & Kennedy, E. (1994). Agricultural Commercialization, Economic Development, and Nutrition. In Nutrition. The Johns Hopkins University Press.
  • Brown, C. (2004). Emerging Zoonoses and Pathogens of Public Health Significance - an Overview. Rev. Sci. Rech. Off. Int. Epiz, 23(2), 435–442.
  • Cuenca, J. B., Tirado, N., Barral, J., Ali, I., Levi, M., Stenius, U., Berglund, M., & Dreij, K. (2019). Increased Levels of Genotoxic Damage in a Bolivian Agricultural Population Exposed to Mixtures of Pesticides. Science of the Total Environment, 695, 133942. https://doi.org/10.1016/j.scitotenv.2019.133942
  • Cutler, S. J., Fooks, A. R., & Van Der Poel, W. H. M. (2010). Public Health Threat of New, Reemerging, and Neglected Zoonoses in the Industrialized World. Emerging Infectious Diseases, 16(1), 1–7. https://doi.org/10.3201/eid1601.081467
  • Daily, G. C., & Ehrlich, P. R. (1996). Global Change and Human Susceptibility to Disease. Annual Review Energy Environment, 21(1), 125–144. https://doi.org/10.1146/annurev.energy.21.1.125
  • Daszak, P., Cunningham, A. A., & Hyatt, A. D. (2000). Emerging Infectious Diseases of Wildlife - Threats to Biodiversity and Human Health. Science, 287(5452), 443–449. https://doi.org/10.1126/science.287.5452.443
  • Diamond, J. (2002). Evolution, Consequences and Future of Plant and Animal Domestication. Nature, 418(6898), 700–707.
  • Dorny, P., Praet, N., Deckers, N., & Gabriel, S. (2009). Emerging Food-Borne Parasites. Veterinary Parasitology, 163(3), 196–206. https://doi.org/10.1016/j.vetpar.2009.05.026
  • Epstein, J. H., Field, H. E., Luby, S., Pulliam, J. R. C., & Daszak, P. (2006). Nipah Virus: Impact, Origins, and Causes of Emergence. Current Infectious Disease Reports, 8(1), 59–65. papers3://publication/uuid/E2EF0804-12C8-42CD-9117-0E868D8C99AF
  • Fahad, S., Saud, S., Akhter, A., Bajwa, A. A., Hassan, S., Battaglia, M., Adnan, M., Wahid, F., Datta, R., Babur, E., Danish, S., Zarei, T., & Irshad, I. (2021). Bio-based integrated pest management in rice: An agro-ecosystems friendly approach for agricultural sustainability. Journal of the Saudi Society of Agricultural Sciences, 20(2), 94–102. https://doi.org/10.1016/j.jssas.2020.12.004
  • Fanzo, J. (2017). From Big to Small: the Significance of Smallholder Farms in the Global Food System. The Lancet Planetary Health, 1(1), e15–e16. https://doi.org/10.1016/S2542-5196(17)30011-6
  • FAO, IFAD, & WFP. (2013). The State of Food Insecurity in the World,the Multiple Dimensions of Food Security. In FAO of the United Nations.
  • Gandolfo, G. (2008). Giuseppe Palomba and the Lotka-Volterra Equations. Rendiconti Lincei, 19(4), 347–357. https://doi.org/10.1007/s12210-008-0023-7
  • Gibbs, H. K., Ruesch, A. S., Achard, F., Clayton, M. K., Holmgren, P., Ramankutty, N., & Foley, J. A. (2010). Tropical Forests were the Primary Sources of New Agricultural Land in the 1980s and 1990s. Proceedings of the National Academy of Sciences of the United States of America, 107(38), 16732–16737. https://doi.org/10.1073/pnas.0910275107
  • Gilbert, C. L., & Morgan, C. W. (2010). Food Price Volatility. Philosophical Transactions of the Royal Society B, 365, 3023–3034. https://doi.org/10.1098/rstb.2010.0139
  • Gould, E. ., & Higgs, S. (2009). Impact of Climate Change and Other on Emerging Arbovirus Disease. Trans. R. Soc. Trop. Med. Hyg., 103(2), 109–121. https://doi.org/10.1016/j.trstmh.2008.07.025.Impact
  • Gummow, B. (2010). Challenges Posed by New and Ee-emerging Infectious Diseases in Livestock Production, Wildlife and Humans. Livestock Science, 130(1–3), 41–46. https://doi.org/10.1016/j.livsci.2010.02.009
  • Gupta, A. K. (2004). Origin of Agriculture and Domestication of Plants and Animals Linked to Early Holocene Climate Amelioration. Current Science, 87(1), 54–59.
  • Haile, M. G., Brockhaus, J., & Kalkuhl, M. (2016). Short-term Acreage Forecasting and Supply Elasticities for Staple Food Commodities in Major Producer Countries. Agricultural and Food Economics, 4(17), 1–23. https://doi.org/10.1186/s40100-016-0061-x
  • Haile, M. G., Kalkuhl, M., & Braun, J. Von. (2016). Worldwide Acreage and Yield Response to International Price Change and Volatility: A Dynamic Panel Data Analysis for Wheat, RIce, Corn, and Soybeans. American Journal of Agricultural Economics, 98(1), 172–190. https://doi.org/10.1093/ajae/aav013.M.G.
  • Hurst, C. J. (2018). The Connections Between Ecology and Infectious Disease. Springer International Publishing. https://doi.org/https://doi.org/10.1007/978-3-319-92373-4
  • IPBES. (2019). The Global Assessment Report on Biodiversity and Ecosystem Services of the Intergovermental Science-Policy Platform on Biodiversity and Ecosystem Services. In IPBES Secretariat. https://doi.org/10.1111/padr.12283
  • Jones, B. A., Grace, D., Kock, R., Alonso, S., Rushton, J., Said, M. Y., McKeever, D., Mutua, F., Young, J., McDermott, J., & Pfeiffer, D. U. (2013). Zoonosis Emergence Linked to Agricultural Intensification and Environmental Change. Proceedings of the National Academy of Sciences of the United States of America, 110(21), 8399–8404. https://doi.org/10.1073/pnas.1208059110
  • Karizaki, V. M. (2016). Ethnic and Traditional Iranian Rice-Based Foods. Journal of Ethnic Foods, 3(2), 124–134. https://doi.org/10.1016/j.jef.2016.05.002
  • Kim, K. H., Kabir, E., & Jahan, S. A. (2017). Exposure to Pesticides and the Associated Human Health Effects. Science of the Total Environment, 575, 525–535. https://doi.org/10.1016/j.scitotenv.2016.09.009
  • KPRI. (2019). Tahun Ini, Ketimpangan Pendapatan Semakin Turun. Kementerian Pertanian Republik Indonesia. https://www.pertanian.go.id/home/?show=news&act=view&id=3946
  • KPRI. (2020). Statistik Data Lahan Pertanian Tahun 2015-2019. Kementerian Pertanian Republik Indonesia. http://epublikasi.setjen.pertanian.go.id/arsip-perstatistikan/167-statistik/statistik-lahan/719-statistik-data-lahan-pertanian-tahun-2015-2019
  • Kreng, V. B., Wang, T. C., & Wang, H. T. (2012). Tripartite Dynamic Competition and Equilibrium Analysis on Global Television Market. Computers and Industrial Engineering, 63(1), 75–81. https://doi.org/10.1016/j.cie.2012.01.015
  • Lotka, A. J. (1910). Contribution to the Theory Of Periodic Reactions. Journal of Physical Chemistry, 14(3), 271–274. https://doi.org/doi:10.1021/j150111a004.
  • Lotka, A. J. (1920). Analytical Note on Certain Rhythmic Relations in Organic Systems. Proc. Natl. Acad. Sci., 6, 410–415. www.pnas.org
  • Marinakis, Y. D., White, R., & Walsh, S. T. (2020). Lotka–Volterra Signals in ASEAN Currency Exchange Rates. Physica A: Statistical Mechanics and Its Applications, 545, 123743. https://doi.org/10.1016/j.physa.2019.123743
  • McMichael, A. J. (2004). Environmental and Social Influences on Emerging Infectious Diseases: Past, Present and Future. Philosophical Transactions of the Royal Society B: Biological Sciences, 359(1447), 1049–1058. https://doi.org/10.1098/rstb.2004.1480
  • Morand, S. (2018). Biodiversity and Disease Transmission. In The Connection Between Ecology and Infections Disease, Advances in Environmental Microbiology 5 (Vol. 5, pp. 39–56). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-92373-4
  • Newell, D. G., Koopmans, M., Verhoef, L., Duizer, E., Aidara-Kane, A., Sprong, H., Opsteegh, M., Langelaar, M., Threfall, J., Scheutz, F., Giessen, J. van der, & Kruse, H. (2010). Food-borne Diseases - The challenges of 20 years ago Still Persist while New Ones Continue to Emerge. International Journal of Food Microbiology, 139, S3–S15. https://doi.org/10.1016/j.ijfoodmicro.2010.01.021
  • Niemmanee, T., Kaveeta, R., & Potchanasin, C. (2015). Assessing the Economic, Social, and Environmental Condition for the Sustainable Agricultural System Planning in Ban Phaeo District, Samut Sakhonn Province, Thailand. Procedia - Social and Behavioral Sciences, 197(February), 2554–2560. https://doi.org/10.1016/j.sbspro.2015.07.621
  • Roy, R., & Chan, N. W. (2015). Determinants of sustainable irrigated and rainfed rice farming in Bangladesh. Journal of Agricultural Science and Technology, 17(6), 1421–1435.
  • Sabu, K. M., & Kumar, T. K. M. (2020). Predictive Analytics in Agriculture: Forecasting Prices of Arecanuts in Kerala. Procedia Computer Science, 171(2019), 699–708. https://doi.org/10.1016/j.procs.2020.04.076
  • Sarwar, M. (2015). The Dangers of Pesticides Associated with Public Health and Preventing of the Risks. International Journal of Bioinformatics and Biomedical Engineering, 1(2), 130–136. http://www.aiscience.org/journal/ijbbe
  • Severini, S., Tantari, A., & Di Tommaso, G. (2016). The Instability of Farm Income. Empirical Evidences on Aggregation Bias and Heterogeneity among Farm Groups. Bio-Based and Applied Economics, 5(1), 63–81. https://doi.org/10.13128/BAE-16367
  • Smalling, K. L., Devereux, O. H., Gordon, S. E., Phillips, P. J., Blazer, V. S., Hladik, M. L., Kolpin, D. W., Meyer, M. T., Sperry, A. J., & Wagner, T. (2021). Environmental and Anthropogenic Drivers of Contaminants in Agricultural Watersheds with Implications for Land Management. Science of The Total Environment, 774, 145687. https://doi.org/10.1016/j.scitotenv.2021.145687
  • Tabe-Ojong, M. P. J., Molua, E. L., Nzie, J. R. M., & Fuh, G. L. (2020). Production and Supply of Tomato in Cameroon: Examination of the Comparative effect of Price and Non-price Factors. Scientific African, 10, e00574. https://doi.org/10.1016/j.sciaf.2020.e00574
  • Talukder, B., Blay-Palmer, A., VanLoon, G. W., & Hipel, K. W. (2020). Towards Complexity of Agricultural Sustainability Assessment: Main Issues and Concerns. Environmental and Sustainability Indicators, 6(100038). https://doi.org/10.1016/j.indic.2020.100038
  • Tanure, T. M. do P., Miyajima, D. N., Magalhães, A. S., Domingues, E. P., & Carvalho, T. S. (2020). The Impacts of Climate Change on Agricultural Production, Land Use and Economy of the Legal Amazon Region Between 2030 and 2049. EconomiA, 21(1), 73–90. https://doi.org/10.1016/j.econ.2020.04.001
  • Tsai, B.-H., Chang, C.-J., & Chang, C.-H. (2016). Elucidating the Consumption and CO2 Emissions of Fossil Fuels and Low-Carbon Energy in the United States using Lotka-Volterra Models. Energy, 100, 416–424. https://doi.org/10.1016/j.energy.2015.12.045
  • Valin, H., Sands, R. D., van der Mensbrugghe, D., Nelson, G. C., Ahammad, H., Blanc, E., Bodirsky, B., Fujimori, S., Hasegawa, T., Havlik, P., Heyhoe, E., Kyle, P., Mason-D’Croz, D., Paltsev, S., Rolinski, S., Tabeau, A., van Meijl, H., von Lampe, M., & Willenbockel, D. (2014). The Future of Food Demand: Understanding Differences in Global Economic Models. Agricultural Economics (United Kingdom), 45(1), 51–67. https://doi.org/10.1111/agec.12089
  • Wiggins, S. (2000). Introduction to Applied Nonlinear Dynamical Systems and Chaos. In J. E. Marsden, L. Sirovich, & S. S. Antman (Eds.), Texts in Applied Mathematics 2. Springer.
  • Willy, D. K., Muyanga, M., & Jayne, T. (2019). Can Economic and Environmental Benefits Associated with Agricultural Intensification be Sustained at High Population Densities? A Farm Level Empirical Analysis. Land Use Policy, 81, 100–110. https://doi.org/10.1016/j.landusepol.2018.10.046
  • Zhang, Y. (2012). A Lotka-Volterra Evolutionary Model of China’s Incremental Institutional Reform. Applied Economics Letters, 19(4), 367–371. https://doi.org/10.1080/13504851.2011.579054
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    Published
    2022-06-14
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    How to Cite
    Jamal, S. W., & Suparno, S. (2022). A Solution Management in Handling Economic Inequality Among Agrarian Communities. BHUMI: Jurnal Agraria Dan Pertanahan, 8(1), 68–83. https://doi.org/10.31292/bhumi.v8i1.528