Impact of Covid-19 pandemic on Indonesia’s agricultural subsectors: an ARDL approach


Keywords: agricultural economics, Covid-19, ARDL approach, agricultural subsector, Indonesia’s agriculture, agricultural production.

Abstract

Purpose. The research aims to study the effect of the Covid-19 pandemic on aggregate agricultural production and agricultural production per subsector, where the agricultural sector is divided into five subsectors, namely food crops, horticulture, plantations, livestock and fisheries.

Methodology / approach. The Autoregressive Distributed Lag (ARDL) method is applied in this work. Using ARDL equations with restricted test cointegration, it generates both short-term and long-term models simultaneously. The analysis moves on to estimate the long-term and short-term models of (i) the impact of the Covid-19 pandemic on total agricultural production and (ii) the impact of the pandemic on agricultural production per subsector.

Results. In general, the Covid-19 pandemic had a negative but insignificant effect on Indonesia’s agricultural production. The effect of the Covid-19 pandemic on agricultural production (GDP) varies significantly from one subsector to another. The negative effect was in the food crops, horticulture and fisheries subsectors, but this negative effect was significant only for food crops. The pandemic had a positive effect on the plantation crops and livestock subsectors, but the positive effect was significant only for the livestock subsector. Based on the Error Correction Term (ECT) value, the speed of agricultural subsectors to return to long-run equilibrium is not the same.

Originality / scientific novelty. Until now, research on the impact of the Covid-19 pandemic on agriculture has been based on the assumption that the agricultural sector is a homogeneous system. This study examines the agricultural sector by decomposing it into subsectors including food crops, horticulture, plantations, livestock, and fisheries. The results show that each subsector responds differently to shocks (due to the Covid-19 pandemic). As far as we can observe, this study is the first to decompose subsectors for Indonesia. In addition, studies related to the influence of the Covid-19 pandemic on agriculture using a dynamic econometric approach (using time series data) are still limited.

Practical value / implications. The Covid-19 pandemic had an impact on production due to an increased unemployment and decreased purchasing power, which reduced demand for products from the food crops, horticulture, and livestock subsector, which in turn caused a decrease in production. Research results help the government in determining the best course of action to support the food crops, horticulture, and fisheries subsectors in the event that the Covid-19 pandemic creates unfavourable conditions. Future research proposals include: (i) a study of how the production function in the agricultural subsector can be used to estimate production in the event of unforeseen circumstances like the Covid-19 pandemic or an economic downturn; and (ii) a study of how the type of fiscal stimulus affects production in agricultural subsectors to determine the type of assistance based on the dominance of subsectors in a particular region.

References

Bloom, E., de Wit, V., & Jose, M. J. C-S. (2005). Potential economic impact of an avian flu pandemic on Asia. Asian Development Bank. Available at: https://www.adb.org/publications/potential-economic-impact-avian-flu-pandemic-asia.

Chen, C.-L., Lai, C.-C., Luh, D.-L., Chuang, S.-Y., Yang, K.-C., Yeh, Y.-P., Yen, A. M.-F., … & Chen, S. L.-S. (2021). Review of epidemic, containment strategies, clinical management, and economic evaluation of COVID-19 pandemic. Journal of the Formosan Medical Association, 120(1), S6–S18. https://doi.org/10.1016/j.jfma.2021.05.022.

Barro, R. J., Ursula, J. F., & Weng, J. (2022). Macroeconomics of the great influenza pandemic, 1918–1920. Research in Economics, 76(1), 21–29. https://doi.org/10.1016/j.rie.2022.01.00.

Tampubolon, J. (2023). Food and agricultural sector in Indonesia’s economic growth during COVID-19 pandemic: an ARDL approach. Agricultural and Resource Economics, 9(2), 223–244. https://doi.org/10.51599/are.2023.09.02.10.

Tampubolon, J., Nainggolan, H. L., Ginting, A., & Aritonang, J. (2018). Mount Sinabung eruption: impact on local economy and smallholder farming in Karo Regency, North Sumatra. IOP Conference. Series: Earth and Environmental Science, 178, 012039. https://doi.org/10.1088/1755-1315/178/1/012039.

Nainggolan, H. L., Ginting, L., Tampubolon, J., Aritonang, J., & Saragih, J. R. (2019). Model of socio-economic recovery of farmers in erupted areas of mount Sinabung in Karo Regency. IOP Conference. Series: Earth and Environmental Science, 314, 012065. https://doi.org/10.1088/1755-1315/314/1/012065.

Malahayati, M., Masui, T., & Anggraeni, L. (2021). An assessment of the short-term impact of COVID-19 on economics and environment: a case study of Indonesia. Economia, 22(3), 291–313. https://doi.org/10.1016/j.econ.2021.12.003.

Heo, K., Hong, S. H., Han, J.-S., Abdurrohman, Long, G. T., Gonzales, M. M. D., Kasim, J. Z., … & Yeah, K. L. (2022). KIPF-AMRO joint research: the impact of COVID-19 on regional economics and policy responses. Korea Institute of Public Finance. Available at: https://www.amro-asia.org/the-impact-of-Covid-19-on-regional-economies-and-policy-responses.

Maren, I. E., Wijk, H., McNeal, K., Wang, S., Zu, S., Cao, R., Furst, K., & Marsh, R. (2022). Diversified farming systems: impact and adaptive responses to the COVID-19 pandemic in the United States, Norway and China. Frontier Sustainable Food System, 6, 887707. https://doi.org/10.3389/fsufs.2022.887707.

Pu, M., Chen, X., & Zhong, Y. (2021). Overstocked agricultural produce and emergency supply system in the COVID-19 pandemic: responses from China. Foods, 10(12), 3027. https://doi.org/10.3390/foods10123027.

Ababulgu, N., Abajobir, N., & Wana, H. (2022). The embarking of COVID-19 and the perishable products’ value chain in Ethiopia. Journal of Innovation and Entrepreneurship, 11, 34. https://doi.org/10.1186/s13731-022-00224-5.

Ridley, W., & Devados, S. (2020). The effects of COVID‐19 on fruit and vegetable production. Applied Economic Perpestives and Policy, 43(1), 329–340. https://doi.org/10.1002/aepp.13107.

Arouna, A., Soullier, G., Mendez del Villar, P., & Demont, M. (2020). Policy options for mitigating impacts of COVID-19 on domestic rice value chains and food security in West Africa. Global Food Security, 26, 100405. https://doi.org/10.1016/j.gfs.2020.100405.

Hailu, G. (2020). Economic thoughts on Covid-19 for Canadian food processors. Canadian Journal of Agricultural Economics, 68(2), 163–169. https://doi.org/10.1111/cjag.12241.

Indah, A. B. R., Sahar, D. P., Afifudin, M. T., Ikasari, N., & Mulyadi (2021). A review: agricultural production and food industry during Pandemic COVID-19. IOP Conference. Series: Earth and Environmental Science, 807, 022004. https://doi.org/10.1088/1755-1315/807/2/022004.

Nakat, Z., & Bou-Mitri, C. (2021). COVID-19 and the food industry: readiness assessment. Food Control, 121, 107661. https://doi.org/10.1016/j.foodcont.2020.107661.

Telukdarie, A., Munsamy, M., & Mohlala, P. (2020). Analysis of the impact of COVID-19 on the food and beverages manufacturing sector. Sustainability, 12(22), 9331. https://doi.org/10.3390/su12229331.

Asegie, A. M., Adisalem, S. T., & Eshetu, A. A. (2021). The effects of COVID-19 on livelihoods of rural households: South Wollo and Oromia Zones, Ethiopia. Heliyon, 7(12), e08550. https://doi.org/10.1016/j.heliyon.2021.e08550.

Irawan, A., Saefudin, S., Suryanty, M., & Yuliarso, M. Z. (2021). Impact of COVID-19 pandemic on the economy of oil palm smallholder’s household income. Journal of Agribusiness in Developing and Emerging Economies, 12(3), 425–441. https://doi.org/10.1108/JADEE-09-2021-0237.

Abraham, V., & Madavhan, M. (2020). Performance of the plantation sector during the COVID-19 pandemic. The Indian Economic Journal, 68(3), 438–456. https://doi.org/10.1177/0019466220988064.

Little, M. E., & Sylvester, O. (2022). Agroecological producers shortening food chains during Covid-19: opportunities and challenges in Costa Rica. Agriculture and Human Values, 39, 1133–1140. https://doi.org/10.1007/s10460-022-10298-2.

Mohd Suib, N. A. B., Salleh, N. H. M., & Ahmad, M. F. (2023). The economic well-being of smallholders and challenges during COVID-19 pandemic: a review. Agricultural Economics – Czech, 69, 35–44. https://doi.org/10.17221/344/2022-AGRICECON.

Rahman, Md S., & Das, G. C. (2021). Effect of Covid-19 on the livestock sector in Bangladesh and recommendations. Journal of Agriculture and Food Research, 4, 100128. https://doi.org/10.1016/j.jafr.2021.100128.

Biswal, J., Vijayalakshmy, K., & Rahman, H. (2020). Impact of Covid-19 and assosiated lockdown on livestock and poultry sector in India. Vet World, 13(9), 1928–1933. https://doi.org/10.14202/vetworld.2020.1928-1933.

Rude, J. (2021). COVID-19 and the Canadian cattle/beef sector: a second look. Canadian Journal of Agricultural Economics, 69(2), 233–241. https://doi.org/10.1111/cjag.12277.

Marchant-Forde, J. N., & Boyle, L. A. (2020). Corrigendum: COVID-19 effects on livestock production: a one welfare issue. Frontiers in Veterinary Science, 7, 625372. https://doi.org/10.3389/fvets.2020.625372.

Seixas, S., Verdelhos, T., & Verissimo, H. (2023). How COVID-19 pandemic affected fisheries (catch volume and price): a case study in Europe. Marine Policy, 159, 105896. https://doi.org/10.1016/j.marpol.2023.105896.

Chirwa, G. C., & Chiwula, L. (2022). Socioeconomic inequalities in household resilience capacity in the context of COVID-19 in the fisheries sector in Malawi. Agricultural Economics Research, Policy and Practice in Southern Africa, 61(3), 266–281. https://doi.org/10.1080/03031853.2022.2095291.

Beckman, J., & Countryman, A. M. (2021). The importance of agriculture in the economy: impact from COVID-19. American Journal of Agricultural Economics, 103(5), 1595–1611. https://doi.org/10.1111/ajae.12212.

Gosh-Jerath, S., Kapoor, R., Dhasmana, A., Singh, A., Downs, S., & Ahmed, S. (2022). Effect of COVID-19 pandemic on food systems and determinants of resilience in indigenous community of Jharkhand State, India: a serial cross-sectional study. Frontiers in Sustainable Food Systems, 6, 724321. https://doi.org/10.3389/fsufs.2022.724321.

Iese, V., Wairiu, M., Hickey, G. M., Ugalde, D., Salili, D. H., Walenenea Jr., J., Tabe, T., … & Ward, A. C. (2021). Impacts of COVID-19 on agriculture and food systems in pacific island countries (PICs): evidence from communities in Fiji and Solomon Islands. Agricultural Systems, 190, 103099. https://doi.org/10.1016/j.agsy.2021.103099.

Jaacks, L. M., Gupta, N., Plage, J., Awasthi, A., Veluguri, D., Rastogi, S., Dall’Agnese, E., … & Jain, A. (2022). Impact of the COVID-19 pandemic on agriculture in India: cross-sectional results from a nationally representative survey. PLOS Sustainability and Transformation, 1(10), e0000033. https://doi.org/10.1371/journal.pstr.0000026.

Beckman, J., Baquedano, F., & Countryman, A. (2021). The impacts of COVID-19 on GDP, food prices, and food security. Q-Open, 1(1), qoab005. https://doi.org/10.1093/qopen/qoab005.

Salisu, A. A., Adediran, I., & Gupta, R. (2021). A note on the COVID-19 shock and real GDP in emerging economies. Emerging Markets Finance & Trade, 58(1), 93–101. https://doi.org/10.1080/1540496X.2021.1981854.

Zang, Y., Diao, X., Chen, K. Z., Robinson, S., & Fan, S. (2020). Impact of Covid-19 on China’s macroeconomy and agri-food-system – an economy-wide multiplier model analysis. China Agricultural Economic Review, 12(3), 387–407. https://doi.org/10.1108/CAER-04-2020-0063.

Pardhan, S., & Drydakis, N. (2021). Associating the change in new COVID-19 cases to GDP per capita in 38 European countries in the first wave of the pandemic. Frontiers in Public Health, 8, 582140. https://doi.org/10.3389/fpubh.2020.582140.

Elleby, C., Domínguez, I. P., Adenauer, M., & Genovese, G. (2020). Impacts of the COVID-19 pandemic on the global agricultural markets. Environmental and Resource Economics, 76, 1067–1079. https://doi.org/10.1007/s10640-020-00473-6.

Sam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130–141. https://doi.org/10.1016/j.econmod.2018.11.00.

İlgün, G., Konca, M., & Sönmez, S. (2023). The relationship between the health transformation program and health expenditures: evidence from an autoregressive distributed lag testing approach. Value in Health Regional Issues, 38, 101–108. https://doi.org/10.1016/j.vhri.2023.08.003.

Rahman, M. C., Rahaman, Md S., Sarkar, Md A. R., & Islam, M. A. (2024). Foreign direct investment and agricultural output nexus in Bangladesh: an autoregressive distributed lag approach. Journal of Agriculture and Food Research, 15, 101042. https://doi.org/10.1016/j.jafr.2024.101042.

Bertelli, S., Vacca, G., & Zoia, M. (2022). Bootstrap cointegration tests in ARDL models. Economic Modelling, 116, 105987. https://doi.org/10.1016/j.econmod.2022.105987.

Charfeddine, L., Zaidan, E., Alban, A. Q., Bennasr, H., & Abulibdeh, A. (2023). Modeling and forecasting electricity consumption amid the COVID-19 pandemic: machine learning vs. nonlinear econometric time series models. Sustainable Cities and Society, 98, 104860. https://doi.org/10.1016/j.scs.2023.104860.

Pesaran, M. H., & Shin, Y. (1999). An autoregressive distributed lag modelling approach to cointegration analysis. In S. Strom (Ed.), Econometrics and Economic Theory in the 20th Century (pp. 371–413). Cambridge, Cambridge University Press. https://doi.org/10.1017/CCOL521633230.011.

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616.

Gujarati, D. N. (2012). Econometrics by example. New York, Palgrave Macmillan. Available at: https://zalamsyah.staff.unja.ac.id/wp-content/uploads/sites/286/2019/11/7-Econometrics-by-Example-Gujarati.pdf.

Pesaran, M. H. (2015). Time series and panel data econometrics. Oxford, UK, Oxford University Press.

Wong, H. T. (2008). Exports and domestic demand: some empirical evidence in ASEAN-5. Labuan Bulletin of International Business & Finance, 6, 39–55. https://doi.org/10.51200/lbibf.v6i.2592.

Bui, H. M., Nguyen, S. V., Huynh, A. T., Bui, H. N., Nguyen, H. T. T., Perng, Y. S., Bui, X.-T., & Nguyen, H. T. (2023). Correlation between nitrous oxide emissions and economic growth in Vietnam: an autoregressive distributed lag analysis. Environmental Technology & Innovation, 29, 102989. https://doi.org/10.1016/j.eti.2022.102989.

Des, A., McFarlane, A., & Jung, Y. C. (2019). Remittances and GDP in Jamaica: an ARDL bounds testing approach to cointegration. International Economic Journal, 33(2), 365–381. https://doi.org/10.1080/10168737.2019.1597144.

Aslam, B., Hu, J., Ali, S., AlGarni, T. S., & Abdullah, M. A. (2022). Malaysia’s economic growth, consumption of oil, industry and CO2 emissions: evidence from the ARDL model. International Journal of Environmental Science and Technology, 19(4), 3189–3200. https://doi.org/10.1007/s13762-021-03279-1.

Wolde, M., Sera, L., & Merra, T. M. (2022). Causal interrelationship between income inequality and economic growth in Ethiopia. Cogent Economics & Finance, 10(1), 2087299. https://doi.org/10.1080/23322039.2022.2087299.

Shahbaz, M., & Rahman, M. M. (2012). The dynamic of financial development, foreign direct investment, and economic growth: cointegration and causality analysis in Pakistan. SAGE Journal, 13(2), 201–219. https://doi.org/10.1177/097215091201300202.

Hurtado, S. R. B., Tenesaca-Martínez, K., Torres-Diaz, V., Quito, B., Ojeda, C., Ochoa-Moreno, S. (2024). Assessing the influence of GDP, globalization, civil liberties, and foreign direct investment on researchers in R&D per country: dynamic panel cointegration analysis for Latin American countries. Social Sciences & Humanities Open, 10, 100929. https://doi.org/10.1016/j.ssaho.2024.100929.

Benu, F. L., Wulakada, H. H., Pandie, D. B., Tanggela, Y., King, P. G., Asa, H. M., & Neolaka, Y. A. (2024). The structural analysis of the farming systems resilience after the Covid-19 pandemic in West Timor, Indonesia. Journal of Water and Land Development, 60(I–III), 12–23. https://doi.org/10.24425/jwld.2024.149108.

Asia Pacific Foundation of Canada (2021). COVID-19 pandemic implications on agriculture and food consumption. Available at: https://asiapacific.ca/publication/Covid-19-pandemic-implications-agriculture-and-food.

Agastya, A. S. W. R. M., Widodo, P., & Laksmono, R. (2023). The effect of increasing cooking oil prices and material export prohibition policy cooking oil standards on national food security. East Asian Journal of Multidisciplinary Research, 2(1), 383–392. https://doi.org/10.55927/eajmr.v2i1.2778.

Sadiyah, F. N. (2021). Dampak pandemi Covid-19 terhadap pertumbuhan ekonomi dan perdagangan komoditas pertanian Indonesia. Jurnal Ekonomi Pertanian dan Agribisnis, 5(3), 950–961. https://doi.org/10.21776/ub.jepa.2021.005.03.30.

Fan, S., Teng, P., Chew, P., Smith, G., & Copeland, L. (2021). Food system resilience and COVID-19 – lesson from the Asian experience. Global Food Security, 28, 100501. https://doi.org/10.1026/j.gfs.2021.100501.

Boyaci-Gunduz, C. P., Ibrahim, S. A., Wei, O. C., & Galanakis, C. M. (2021). Transformation of the food sector: security and resilience during the COVID-19 pandemic. Foods, 10(3), 497. https://doi.org/10.3390/foods10030497.

Durant, J. L., Asprooth, L., Galt, R. E., Schmulevich, S. P., Manser, G. M., & Pinzon, N. (2023). Farm resilience during the COVID-19 pandemic: the case of California direct market farmers. Agricultural Systems, 204, 103532. https://doi.org/10.1066/j.agsy.2022.103532.

Dixon, J. M., Weerahewa, J., Hellin, J., Rola-Rubzen, M. F., Huang, J., Kumar, S., Das, A., … & Timsina, T. (2021). Response and resilience of Asian agrifood systems to COVID-19: an assessment across twenty-five countries and four regional farming and food systems. Agricultural Systems, 193, 103168. https://doi.org/10.1016/j.agsy.2021.103168.

Tampubolon, J. (2019). Indonesian export performance and competitiveness in the Asean-China FTA. WSEAS Transaction on Business and Economics, 16, 120–129. https://wseas.com/journals/bae/2019/a205107-715.pdf.

FAO (2023). Coffee production. Available at: https://www.fao.org/faostat/en/#search/production%20coffee.

International Trade Center (2023). Trade statistics. Available at: https://intracen.org/resources/data-and-analysis/trade-statistics.

ASEAN+3 Macroeconomic Research Office (2021). ASEAN+3 regional economic outlook 2021: global value chains in the post-pandemic “New normal”. Available at: https://www.amro-asia.org/wp-content/uploads/2021/04/AMRO-AREO-2021_C2-rev.pdf.

Amir, M. F., Nidhal, M., & Alta, A. (2022). From export ban to export acceleration: why cooking oil price interventions were ineffective. Center for Indonesian Policy Studies. https://doi.org/10.35497/558662.

Mohylnyi, O., Patyka, N., Kucher, A., Krupin, V., Siedlecka, A., & Wysokiński, M. (2022). Features of agrarian sector deregulation in the context of martial law: shocks in food security. Sustainability, 14(20), 12979. https://doi.org/10.3390/su142012979.

Voora, V., Bermudez, S., Farrel, J. J., Larrea, C., & Luna, E. (2023). Global market report: palm oil prices and sustainability. International Institute for Sustainable Development. Available at: https://www.iisd.org/publications/report/2023-global-market-report-palm-oil.

Ferlito, C., & Respatiadi, H. (2018). Reformasi Kebijakan Pada Industri Unggas Indonesia. Center for Indonesian Policy Studies. Available at: https://repository.cips-indonesia.org/media/publications/271879-reformasi-kebijakan-pada-industri-unggas-d1ea1542.pdf.

Agus, A., & Widi, T. S. M. (2018). Current situation and prospect of beef cattle production in Indonesia – a review. Asian-Australasian Journal of Animal Sciences, 31(7), 976–983. https://doi.org/10.5713/ajas.18.0233.

Hobbs, J. E. (2021). The Covid-19 pandemic and meet supply chains. Meat Science, 181, 108459. https://doi.org/10.1016/j.meatsci.2021.108459.

Tonsor, G. T., Lusk, J. L., & Tonsor, S. L. (2021). Meat demand monitoring during Covid-19. Animals, 11(4), 1040. https://doi.org/10.3390/ani11041040.

Sari, D. A. A., & Muslimah, S. (2020). Blue economy policy for sustainable fisheries in Indonesia. IOP Conference Series: Earth and Environmental Science, 423, 012051. https://doi.org/10.1088/1755-1315/423/1/012051.

Imron, M. (2003). Kemiskinan dalam masyarakat nelayan. Jurnal Masyarakat dan Budaya, 5(1), 63–81. https://doi.org/10.14203/jmb.v5i1.259.

Hakim, M. (2019). Fatalisme dan kemiskinan komunitas nelayan. Society, 7(2), 163–173. https://doi.org/10.33019/society.v7i2.118.

Basset, H. R., Lau, J., Giardiano, C., Suri, S. K., Advani, S., & Sharon, S. (2021). Preliminary lessons from Covid-19 disruptions of small-scale fishery. World Development, 143, 105473. https://doi.org/10.1016/j.worlddev.2021.105473.

Mardhia, D., Kautsari, N., Syaputra, L. I., Ramdhani, W., & Rasiardhi, C. O. (2020). Penerapan protocol kesehatan dampak Covid-19 terhadap komoditas perikanan dan aktivitas penangkapan. Indonesian Journal of Applied Science and Technology, 1(2), 80–87. Available at: https://journal.publication-center.com/index.php/ijast/article/view/112.

Debata, B., Patnaik, P., & Mishra, A. (2020). COVID-19 pandemic: its impact on people, economy, and environment. Journal of Public Affairs, 20(4), e2372. https://doi.org/10.1002/pa.2372.

Steel, I., & Harris, T. (2020). Covid-19 economic recovery: fiscal stimulus choices for lower-income countries. Available at: https://odi.org/en/publications/covid-19-economic-recovery-fiscal-stimulus-choices-for-lower-income-countries.

Coccia, M. (2020). Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID. Science of the Total Environment, 729, 138474. https://doi.org/10.1016/j.scitotenv.2020.138474.

Baudron, F., & Liegeois, F. (2020). Fixing our global agricultural system to prevent the next COVID-19. Outlook on Agriculture, 42(2), 111–118. https://doi.org/10.1177/0030727020931122.

Published
2024-09-20
How to Cite
Sembiring, S. A., & Tampubolon, J. (2024). Impact of Covid-19 pandemic on Indonesia’s agricultural subsectors: an ARDL approach. Agricultural and Resource Economics: International Scientific E-Journal, 10(3), 168–191. https://doi.org/10.51599/are.2024.10.03.07
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