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Research Article

Peasant farmers and pandemics: the role of seasonality and labor-leisure trade-off decisions in economy-wide models

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Pages 491-518 | Received 27 Oct 2020, Accepted 30 Jul 2021, Published online: 17 Aug 2021

References

  • Amolegbe, K. B. (2020). Hungry birds do not sing: Coronavirus and the school feeding program. World Development, 136, 105169. https://doi.org/10.1016/j.worlddev.2020.105169
  • Apps, P., & Rees, R. (2001). Household production, full consumption and the costs of children. Labour Economics, 8(6), 621–648. https://doi.org/10.1016/S0927-5371(01)00047-1
  • Aragie, E. A., McDonald, S., & Thierfelder, K. (2016). A static applied general equilibrium model: Technical documentation: STAGE_DEV Version 2. http://cgemod.org.uk/stg_dev.html.
  • Arndt, C., Davies, R., Gabriel, S., Harris, L., Makrelov, K., Robinson, S., Levy, S., Simbanegavi, W., van Seventer, D., & Anderson, L. (2020). Covid-19 lockdowns, income distribution, and food security: An analysis for South Africa. Global Food Security, 26, 100410. https://doi.org/10.1016/j.gfs.2020.100410
  • Avelino, A. F. T. (2017). Disaggregating input–output tables in time: The temporal input–output framework. Economic Systems Research, 29(3), 313–334. https://doi.org/10.1080/09535314.2017.1290587
  • Avelino, A. F. T., & Hewings, G. J. D. (2019). The challenge of estimating the impact of disasters: Many approaches, many limitations and a compromise. In Y. Okuyama & A. Rose (Eds.), Advances in spatial and economic modeling of disaster impacts (1st ed., pp. 163–189). Springer International Publishing; Imprint: Springer.
  • Baffes, J., & Koh, W. C. (2020). Mixed results for fertilizers amid COVID-19 panic. World Bank Blogs. https://blogs.worldbank.org/opendata/mixed-results-fertilizers-amid-covid-19-panic.
  • Bargain, O., & Peichl, A. (2016). Own-wage labor supply elasticities: Variation across time and estimation methods. IZA Journal of Labor Economics, 5(1), 635. https://doi.org/10.1186/s40172-016-0050-z
  • Barnum, H. N., & Squire, L. (1979). A model of an agricultural household. Theory and evidence (Occasional Paper No. 27). World Bank.
  • Barrett, C. B., Sherlund, S. M., & Adesina, A. A. (2008). Shadow wages, allocative inefficiency, and labor supply in smallholder agriculture. Agricultural Economics, 38(1), 21–34. https://doi.org/10.1111/j.1574-0862.2007.00278.x
  • Becker, G. S. (1965). A theory of the allocation of time. The Economic Journal, 75(299), 493. https://doi.org/10.2307/2228949
  • Beckman, J., & Countryman, A. M. (2021). The importance of agriculture in the economy: Impacts from COVID-19. American Journal of Agricultural Economics. https://doi.org/10.1111/ajae.12212.
  • Blackden, M. C., & Wodon, Q. (2012). Gender, time use, and poverty in sub-Saharan Africa. World Bank.
  • Boeters, S., & Savard, L. (2013). The labor market in computable general equilibrium models. In Peter B. Dixon & Dale W. Jorgenson (Eds.), Handbook of computable general equilibrium modeling (Vol. 1, pp. 1645–1718). Elsevier. https://doi.org/10.1016/B978-0-444-59568-3.00026-2.
  • Breisinger, C., Abdelatif, A., Raouf, M., & Wiebelt, M. (2020). COVID-19 and the Egyptian economy: Estimating the impacts of expected reductions in tourism, Suez Canal revenues, and remittances. MENA POLICY NOTE. IFPRI. https://www.ifpri.org/publication/covid-19-and-egyptian-economy-estimating-impacts-expected-reductions-tourism-suez-canal.
  • Castañeda, A., Doan, D., Newhouse, D., Nguyen, M. C., Uematsu, H., & Azevedo, J. P. (2018). A new profile of the global poor. World Development, 101, 250–267. https://doi.org/10.1016/j.worlddev.2017.08.002
  • Chayanov, A. V. (1986). The theory of peasant economy. Manchester University Press. 316 pp.
  • Eickhout, B., van Meijl, H., Tabeau, A., & Stehfest, E. (2009). The impact of environmental and climate constraints on global food supply. In Thomas W. Hertel, Steven K. Rose, & Richard S. J. Tol (Eds.), Economic analysis of land use in global climate change policy (Vol. 14, p. 206). Routledge.
  • Ellis, F. (2000). The determinants of rural livelihood diversification in developing countries. Journal of Agricultural Economics, 51(2), 289–302. https://doi.org/10.1111/j.1477-9552.2000.tb01229.x
  • Feuerbacher, A. (2019). Economy-wide modelling of seasonal labour and natural resource policies (Dissertation). Humboldt-Universität zu Berlin. https://doi.org/10.18452/19825.
  • Feuerbacher, A., Dukpa, C., & Grethe, H. (2017). A 2012 social accounting matrix (SAM) for Bhutan with a detailed representation of the agricultural sector: Technical documentation (Working Paper 94). Department of Agricultural Economics, Faculty of Life Sciences, Humboldt-Universität zu Berlin. https://www.agrar.hu-berlin.de/de/institut/departments/daoe/publ/wp/wp94.pdf.
  • Feuerbacher, A., & McDonald, S. (2021). STAGE_PEA: A standard applied general equilibrium model to simulate peasant household behavior. http://cgemod.org.uk/STAGE_PEA Model tech.pdf.
  • Feuerbacher, A., McDonald, S., Dukpa, C., & Grethe, H. (2020). Seasonal rural labor markets and their relevance to policy analyses in developing countries. Food Policy, 93, 101875. https://doi.org/10.1016/j.foodpol.2020.101875
  • Fontana, M., & Wood, A. (2000). Modeling the effects of trade on women, at work and at home. World Development, 28(7), 1173–1190. https://doi.org/10.1016/S0305-750X(00)00033-4
  • Goldberg, J. (2016). Kwacha gonna do? Experimental evidence about labor supply in rural Malawi. American Economic Journal: Applied Economics, 8(1), 129–149. https://doi.org/10.1257/app.20130369
  • Hilton, J., & Keeling, M. J. (2020). Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices. PLOS Computational Biology, 16(7), e1008031. https://doi.org/10.1371/journal.pcbi.1008031
  • Huff, A. G., Beyeler, W. E., Kelley, N. S., & McNitt, J. A. (2015). How resilient is the United States’ food system to pandemics? Journal of Environmental Studies and Sciences, 5(3), 337–347. https://doi.org/10.1007/s13412-015-0275-3
  • IMF. (2020). World economic outlook: The great lockdown. https://www.imf.org/en/Publications/WEO/Issues/2020/04/14/weo-april-2020.
  • ISWGNA. (2009). System of national accounts 2008. UN, OECD, World Bank, IMF and EC.
  • Jacoby, H. G. (1993). Shadow wages and peasant family labour supply: An econometric application to the Peruvian Sierra. Review of Economic Studies, 60(4), 903–921. https://doi.org/10.2307/2298105
  • Johnston, D., Stevano, S., Malapit, H. J., Hull, E., & Kadiyala, S. (2018). Review: Time use as an explanation for the agri-nutrition disconnect: Evidence from rural areas in low and middle-income countries. Food Policy, 76, 8–18. https://doi.org/10.1016/j.foodpol.2017.12.011
  • Kermack, W. O., & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 115(772), 700–721. https://doi.org/10.1098/rspa.1927.0118
  • Koks, E. E., & Thissen, M. (2016). A multiregional impact Assessment model for disaster analysis. Economic Systems Research, 28(4), 429–449. https://doi.org/10.1080/09535314.2016.1232701
  • La Fuente, A. d., Jacoby, H. G., & Lawin, K. G. (2020). Impact of the West African Ebola epidemic on agricultural production and rural welfare: Evidence from Liberia. Journal of African Economies, 29(5), 454–474. https://doi.org/10.1093/jae/ejaa002
  • Laborde, D., Martin, W., & Vos, R. (2020). Poverty and food insecurity could grow dramatically as COVID-19 spreads. IFPRI Blog: Research Post April 16, 2020. IFPRI, https://www.ifpri.org/blog/poverty-and-food-insecurity-could-grow-dramatically-covid-19-spreads. https://www.ifpri.org/blog/poverty-and-food-insecurity-could-grow-dramatically-covid-19-spreads.
  • Landefeld, J. S., & McCulla, S. H. (2000). Accounting for nonmarket household production within a national accounts framework. Review of Income and Wealth, 46(3), 289–307. https://doi.org/10.1111/j.1475-4991.2000.tb00844.x
  • Lipton, M. (1968). The theory of the optimising peasant. Journal of Development Studies, 4(3), 327–351. https://doi.org/10.1080/00220386808421262
  • Liu, Y., Gayle, A. A., Wilder-Smith, A., & Rocklöv, J. (2020). The reproductive number of COVID-19 is higher compared to SARS coronavirus. Journal of Travel Medicine, 27(2), 4. https://doi.org/10.1093/jtm/taaa021 .
  • Löfgren, H., & Robinson, S. (1999). Nonseparable farm household decisions in a computable general equilibrium model. American Journal of Agricultural Economics, 81(3), 663–670. https://doi.org/10.2307/1244031
  • Lopez, R. E. (1986). Structural models of the farm household that allow for interdependent utility and profit-maximization decisions. In I. Singh, L. Squire, & J. Strauss (Eds.), Agricultural household models: Extensions, applications, and policy. Johns Hopkins University Press.
  • Maliszewska, M., Mattoo, A., & van der Mensbrugghe, D. (2020). The potential impact of COVID-19 on GDP and trade: A preliminary assessment (World Bank Policy Research Working Paper 9211). World Bank. http://hdl.handle.net/10986/33605.
  • McDonald, S., & Thierfelder, K. (2015). A static applied general equilibrium model: Technical documentation STAGE Version 2. http://cgemod.org.uk/stage2.pdf.
  • McDonald, S., & Thierfelder, K. (2017). STAGE_DYN: Recursive dynamic applied general equilibrium model: Technical documentation Version 2. http://cgemod.org.uk/stage_rdyn.pdf.
  • Mellor, J. W. (1963). The use and productivity of farm family labor in early stages of agricultural development. Journal of Farm Economics, 45(3), 517. https://doi.org/10.2307/1235430
  • Morens, D. M., & Fauci, A. S. (2007). The 1918 influenza pandemic: Insights for the 21st century. The Journal of Infectious Diseases, 195(7), 1018–1028. https://doi.org/10.1086/511989
  • NSB (National Statistics Bureau of Bhutan). (2019). Population projections Bhutan 2017–2047. Thimphu, Bhutan. http://nsb.gov.bt/publication/files/pub2wc8278bd.pdf.
  • Nechifor, V., Ramos, M. P., Ferrari, E., Laichena, J., Kihiu, E., Omanyo, D., Musamali, R., & Kiriga, B. (2021). Food security and welfare changes under COVID-19 in sub-Saharan Africa: Impacts and responses in Kenya. Global Food Security, 28, 100514. https://doi.org/10.1016/j.gfs.2021.100514
  • Noll, N. B., Aksamentov, I., Druelle, V., Badenhorst, A., Ronzani, B., Jefferies, G., Albert, J., & Neher, R. (2020). COVID-19 scenarios: An interactive tool to explore the spread and associated morbidity and mortality of SARS-CoV-2. medRxiv preprint. https://doi.org/10.1101/2020.05.05.20091363.
  • Okuyama, Y., & Santos, J. R. (2014). Disaster impact and input-output analysis. Economic Systems Research, 26(1), 1–12. https://doi.org/10.1080/09535314.2013.871505
  • Oosterhaven, J., & Bouwmeester, M. C. (2016). A new approach to modeling the impact of disruptive events. Journal of Regional Science, 56(4), 583–595. https://doi.org/10.1111/jors.12262
  • Perroni, C., & Rutherford, T. F. (1995). Regular flexibility of nested CES functions. European Economic Review, 39(2), 335–343. https://doi.org/10.1016/0014-2921(94)00018-U
  • Pyatt, G. (1990). Accounting for time use. Review of Income and Wealth, 36(1), 33–52. https://doi.org/10.1111/j.1475-4991.1990.tb00260.x
  • Pyatt, G. (2001). Some early multiplier models of the relationship between income distribution and production structure. Economic Systems Research, 13(2), 139–163. https://doi.org/10.1080/09537320120052434
  • Pyatt, G., & Round, J. I. (2012). Distributional invariance and the design of SAMs. Economic Systems Research, 24(3), 251–273. https://doi.org/10.1080/09535314.2012.665359
  • Rai, R. (2020). Covid-19 is a boon for Samtse farmers. Kuensel Online 2020.
  • Royal Monetary Authority of Bhutan. (2020). Monthly statistical bulletin - August 2020 issue. Thimphu, Bhutan. https://www.rma.org.bt/RMA%20Publication/MSB/2020/Monthly%20Statistical%20Bulletin%20for%20August%202020.pdf.
  • Schultz, T. W. (1964). Transforming traditional agriculture. Yale University Press.
  • Sen, A. K. (1966). Peasants and dualism with or without surplus labor. Journal of Political Economy, 74(5), 425–450. https://doi.org/10.1086/259198
  • Sen, A. K. (1967). Surplus labour in India: A critique of Schultz’s statistical test. The Economic Journal, 77(305), 154. https://doi.org/10.2307/2229374
  • Shultz, J. M., Althouse, B. M., Baingana, F., Cooper, J. L., Espinola, M., Greene, M. C., Espinel, Z., McCoy, C. B., Mazurik, L., & Rechkemmer, A. (2016). Fear factor: The unseen perils of the Ebola outbreak. Bulletin of the Atomic Scientists, 72(5), 304–310. https://doi.org/10.1080/00963402.2016.1216515
  • Steenge, A. E., Incera, A. C., & Serrano, M. (2020). Income distributions in multi-sector analysis; Miyazawa’s fundamental equation of income formation revisited. Structural Change and Economic Dynamics, 53, 377–387. https://doi.org/10.1016/j.strueco.2019.04.007
  • Steenge, A. E., & Serrano, M. (2012). Income distributions in input-output models. Economic Systems Research, 24(4), 391–412. https://doi.org/10.1080/09535314.2012.715281
  • The Bhutanese. (2020). Anxious wait for Bhutan for lifesaving medical equipment and supplies with raging global demand – the Bhutanese. Retrieved May 31, 2020, from https://thebhutanese.bt/anxious-wait-for-bhutan-for-lifesaving-medical-equipment-and-supplies-with-raging-global-demand/.
  • Tourism Council of Bhutan. (2020). Bhutan Tourism Monitor 2019, Thimphu, Bhutan. https://www.tourism.gov.bt/uploads/attachment files/tcb TNiOKGow BTM 2019.pdf.
  • United Nations. (2020). COVID-19 and transforming tourism. https://www.un.org/sites/un2.un.org/files/sg_policy_brief_covid-19_tourism_august_2020.pdf.
  • World Bank. (2020). Poverty and distributional impacts of COVID-19: Potential channels of impact and mitigating policies. http://pubdocs.worldbank.org/en/980491587133615932/Poverty-and-distributional-impacts-of-COVID-19-and-policy-options.pdf.
  • Yeloff, D., & van Geel, B. (2007). Abandonment of farmland and vegetation succession following the Eurasian plague pandemic of ad 1347?52. Journal of Biogeography, 34(4), 575–582. https://doi.org/10.1111/j.1365-2699.2006.01674.x
  • Zhang, 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. CAER. Advance online publication. https://doi.org/10.1108/CAER-04-2020-0063.
  • Zhou, L., & Chen, Z. (2021). Are CGE models reliable for disaster impact analyses? Economic Systems Research, 33(1), 20–46. https://doi.org/10.1080/09535314.2020.1780566

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