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Population and Environment
Published in: Population and Environment 2/2017

20-10-2016 | Original Paper

Heterogeneous climate effects on human migration in Indonesia

Authors: Brian C. Thiede, Clark L. Gray

Published in: Population and Environment | Issue 2/2017

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Abstract

We examine the effect of anomalous temperatures, rainfall levels, and monsoon timing on migration outcomes in Indonesia. Using panel data from the Indonesian Family Life Survey and high-resolution climate data, we assess whether intra- and inter-province moves are used as a response to climatic shocks. We evaluate the relative importance of temperature, rainfall, and monsoon timing for migration. Only temperature and monsoon timing have significant effects, and these do not operate in the direction commonly assumed. Estimated effects vary according to individuals’ gender, membership in a farm household, and location. We also analyze climate effects on sources of household income, which highlights the multi-phasic nature of household responses. Results undermine narratives of a uniform global migratory response to climate change and highlight the heterogeneous use of migration as a response to such changes. By extending previous research on environmentally induced migration in Indonesia, we also highlight the sensitivity of estimates to alternative climate and migration measures.
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Appendix
Available only for authorised users
Footnotes
1
We exclude individuals at older ages in which age-specific migration rates are extremely low.
 
2
In preliminary analyses, we estimated our overall model (Table 2, Specification A) with age and household wealth modeled as quadratic functions, since prior research suggests a nonlinear relationship between migration odds and these variables exists in some contexts. We did not find evidence of a nonlinear relationship in either case, so we proceed with the more parsimonious model.
 
3
If data for the household head were not present, the characteristics of the oldest present adult were used.
 
4
According to Makarim (2000), the rice yield in 1996, near the time IFLS2 was fielded, was 5.36 tones per hectare (t/ha) on Java. This figure is more than 0.6 t/ha higher than the yield across Indonesia (4.7 t/ha). For reference, also note that with the exception of Bali (5.36 t/ha), the highest rice yield among the provinces outside of Java was 4.77 t/ha (South Sulawesi), and the lowest was 2.63 t/ha (Central Kalimantan).
 
5
This figure compares irrigated farmland in 2007. On Java, the average size of dry land farms is 0.30 ha. In contrast, off Java the average dry land farm size is 0.99 ha for farms engaged in food/horticultural production and 1.20 ha for farms growing perennial crops (OECD 2012).
 
Literature
Adger, W. (2006). Vulnerability. Global Environmental Change, 16(3), 268–281.CrossRef
Antecol, H. (2000). An examination of cross-country differences in the gender gap in labor force participation rates. Labor Economics, 7(4), 409–426.CrossRef
Auffhammer, M., Hsiang, S. M., Schlenker, W., & Sobel, A. (2013). Using weather data and climate model output in economic analyses of climate change. Review of Environmental Economics and Policy, 7(2), 181–198. doi:10.​1093/​reep/​ret016.CrossRef
Barrett, C. B., Reardon, T., & Webb, P. (2001). Nonfarm income diversification and household livelihood strategies in rural Africa: Concepts, dynamics, and policy implications. Food Policy, 26(4), 315–331.CrossRef
Bilsborrow, R. E. (1987). Population pressures and agricultural development in developing countries: A conceptual framework and recent evidence. World Development, 15(2), 183–203.CrossRef
Black, R., Adger, N., Arnell, N., Dercon, S., Geddes, A., & Thomas, D. (2011a). Foresight: Migration and global environmental change (2011) final project report. London: The Government Office for Science.
Black, R., Adger, W. N., Arnell, N. W., Dercon, S., Geddes, A., & Thomas, D. (2011b). The effect of environmental change on human migration. Global Environmental Change, 21, S3–S11.CrossRef
Bohle, H. G., Downing, T. E., & Watts, M. J. (1994). Climate change and social vulnerability: toward a sociology and geography of food insecurity. Global Environmental Change, 4(1), 37–48.CrossRef
Bohra-Mishra, P., Oppenheimer, M., & Hsiang, S. M. (2014). Nonlinear permanent migration response to climatic variations but minimal response to disasters. Proceedings of the National Academy of Sciences, 111(27), 9780–9785. doi:10.​1073/​pnas.​1317166111.CrossRef
Cameron, L. A., & Worswick, C. (2001). Education expenditure responses to crop loss in Indonesia: A gender bias. Economic Development and Cultural Change, 49(2), 351–363.CrossRef
Carter, M. R., & Lybbert, T. J. (2012). Consumption versus asset smoothing: testing the implications of poverty trap theory in Burkina Faso. Journal of Development Economics, 99(2), 255–264.CrossRef
Codjoe, S. N. A., & Bilsborrow, R. E. (2011). Population and agriculture in the dry and derived savannah zones of Ghana. Population and Environment, 33(1), 80–107.CrossRef
Davis, K. (1963). The theory of change and response in modern demographic history. Population Index, 29(4), 345.CrossRef
De Jong, G. F. (2000). Expectations, gender, and norms in migration decision-making. Population Studies, 54(3), 307–319.CrossRef
De Sherbinin, A., VanWey, L. K., McSweeney, K., Aggarwal, R., Barbieri, A., Henry, S., et al. (2008). Rural household demographics, livelihoods and the environment. Global Environmental Change, 18(1), 38–53.CrossRef
Demetriades, J., & Esplen, E. (2008). The gender dimensions of poverty and climate change adaptation. IDS Bulletin, 39(4), 24–31.CrossRef
Denton, F. (2002). Climate change vulnerability, impacts, and adaptation: why does gender matter? Gender & Development, 10(2), 10–20.CrossRef
Dercon, S., Hoddinott, J., & Woldehanna, T. (2005). Shocks and consumption in 15 Ethiopian Villages, 1999–2004. Journal of African Economies, 14(4), 559–585.CrossRef
Dercon, S., & Krishnan, P. (2000). Vulnerability, seasonality and poverty in Ethiopia. The Journal of Development Studies, 36(6), 25–53.CrossRef
Dillon, A., Mueller, V., & Salau, S. (2011). Migratory responses to agricultural risk in northern Nigeria. American Journal of Agricultural Economics, 93(4), 1048–1061.CrossRef
Ellis, F. (2000). Rural livelihoods and diversity in developing countries. Oxford: Oxford University Press.
Ezra, M. (2001). Demographic responses to environmental stress in the drought-and famine-prone areas of northern Ethiopia. International Journal of Population Geography, 7(4), 259–279.CrossRef
Feng, S., Krueger, A. B., & Oppenheimer, M. (2010). Linkages among climate change, crop yields and Mexico–US cross-border migration. Proceedings of the National Academy of Sciences, 107(32), 14257–14262. doi:10.​1073/​pnas.​1002632107.CrossRef
Findley, S. E. (1994). Does drought increase migration? A study of migration from rural Mali during the 1983–1985 drought. International Migration Review, 28(3), 539–553.CrossRef
Frankenberg, E., Chan, A., & Ofstedal, M. (2002). Stability and change in living arrangements in Indonesia, Singapore, and Taiwan, 1993–99. Population Studies, 56(2), 201–213.CrossRef
Frankenberg, E., & Karoly, L. (1995). The 1993 Indonesian Family Life Survey (IFLS): overview and field report. Santa Monica, CA: RAND Corporation.
Frankenberg, E., McKee, D., & Thomas, D. (2005). Health consequences of forest fires in Indonesia. Demography, 42(1), 109–129.CrossRef
Frankenberg, E., Smith, J. P., & Thomas, D. (2003). Economic shocks, wealth, and welfare. Journal of Human Resources, 38(2), 280–321.CrossRef
Frankenberg, E., & Thomas, D. (2000). The Indonesia Family Life Survey (IFLS): Study design and results from waves 1 and 2. Santa Monica, CA: RAND Corporation.
Fussell, E., Hunter, L. M., & Gray, C. L. (2014). Measuring the environmental dimensions of human migration: The demographer’s toolkit. Global Environmental Change, 28, 182–191.CrossRef
Gallopín, G. C. (2006). Linkages between vulnerability, resilience, and adaptive capacity. Global Environmental Change, 16, 293–303.CrossRef
Gaurav, S. (2015). Are rainfed agricultural households insured? Evidence from five villages in Vidarbha, India. World Development, 66, 719–736.CrossRef
Geertz, C. (1963). Agricultural involution: the process of ecological change in Indonesia. Berkeley: University of California Press.
Gray, C. (2009). Environment, land and rural out-migration in the southern Ecuadorian Andes. World Development, 37(2), 457–468.CrossRef
Gray, C., & Wise, E. (2016). Country-specific effects of climate variability on human migration. Climatic Change, 135, 555–568.CrossRef
Henry, S., Schoumaker, B., & Beauchemin, C. (2004). The impact of rainfall on the first out-migration: A multi-level event-history analysis in Burkina Faso. Population and Environment, 25(5), 423–460.CrossRef
Hugo, G. J. (1982). Circular migration in Indonesia. Population and Development Review, 8(1), 59–83.CrossRef
Hugo, G. J. (1992). Women on the move: Changing patterns of population movement of women in Indonesia. In S. Chant (Ed.), Gender and migration in developing countries (pp. 174–196). London: Belhaven Press.
Hugo, G. J. (2000). The impact of the crisis on internal population movement in Indonesia. Bulletin of Indonesian Economic Statistics, 36(2), 115–138.CrossRef
Hunter, L. M., Luna, J. K., & Norton, R. M. (2015). The environmental dimensions of migration. Annual Review of Sociology, 41(1), 377–397.CrossRef
Hunter, L. M., Nawrotzki, R., Leyk, S., Maclaurin, G. J., Twine, W., Collinson, M., et al. (2014). Rural outmigration, natural capital, and livelihoods in South Africa. Population, Aepace and Place, 20(5), 402–420.CrossRef
Jennings, J. A., & Gray, C. L. (2015). Climate variability and human migration in the Netherlands, 1865–1937. Population and Environment, 36(3), 255–278.CrossRef
Kalipeni, E. (1996). Demographic response to environmental pressure in Malawi. Population and Environment, 17(4), 285–308.CrossRef
Makarim, A. K. (2000). Bridging the rice yield gap in Indonesia. In M. K. Papademetriou, F. J. Dent, & E. M. Herath (Eds.), Bridging the rice yield gap in the Asia-Pacific region (pp. 112–121). Bangkok, Thailand: Food and Agricultural Organization of the United Nations.
Marchiori, L., Maystadt, J.-F., & Schumacher, I. (2012). The impact of weather anomalies on migration in sub-Saharan Africa. Journal of Environmental Economics and Management, 63(3), 355–374.CrossRef
Morrissey, J. W. (2013). Understanding the relationship between environmental change and migration: The development of an effects framework based on the case of northern Ethiopia. Global Environmental Change, 23(6), 1501–1510.CrossRef
Mueller, V., Gray, C., & Kosec, K. (2014). Heat stress increases long-term human migration in rural Pakistan. Nature Climate Change, 4(3), 182–185.CrossRef
Naylor, R. L., Battisti, D. S., Vimont, D. J., Falcon, W. P., & Burke, M. B. (2007). Assessing risks of climate variability and climate change for Indonesian rice agriculture. Proceedings of the National Academy of Sciences, 104(19), 7752–7757. doi:10.​1073/​pnas.​0701825104.CrossRef
Naylor, R. L., Falcon, W. P., Rochberg, D., & Wada, N. (2001). Using El Niño/Southern Oscillation climate data to predict rice production in Indonesia. Climatic Change, 50(3), 255–265.CrossRef
Naylor, R. L., Falcon, W., Wada, N., & Rochberg, D. (2002). Using El Niño-Southern Oscillation climate data to improve food policy planning in Indonesia. Bulletin of Indonesian Economic Studies, 38(1), 75–91.CrossRef
OECD. (2012). OECD review of agricultural policies: Indonesia 2012. Paris, France: OECD Publishing.
Pedraza, S. (1991). Women and migration: The social consequences of gender. Annual Review of Sociology, 17, 303–325.
Perez, C., Jones, E. M., Kristjanson, P., Cramer, L., Thornton, P. K., Foerch, W., et al. (2015). How resilient are farming households and communities to a changing climate in Africa? A gender-based perspective. Global Environmental Change, 34, 95–107.CrossRef
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., et al. (2011). MERRA: NASA’s Modern-era retrospective analysis for research and applications. Journal of Climate, 24(14), 3624–3648. doi:10.​1175/​JCLI-D-11-00015.​1.CrossRef
Rosenzweig, M. R., & Stark, O. (1989). Consumption smoothing, migration, and marriage: Evidence from rural India. The Journal of Political Economy, 97(4), 905–926.CrossRef
Scoones, I. (1998). Sustainable rural livelihoods: a framework for analysis. IDS Working Paper 72. Brighton: Institute of Development Studies.
Sjaastad, L. A. (1962). The costs and returns of human migration. Journal of Political Economy, 70(5), 80–93.CrossRef
Skoufias, E., Katayama, R. S., & Essama-Nssah, B. (2012). Too little too late: welfare impacts of rainfall shocks in rural Indonesia. Bulletin of Indonesian Economic Studies, 48(3), 351–368.CrossRef
Skoufias, E., & Vinha, K. (2013). The impacts of climate variability on household welfare in rural Mexico. Population and Environment, 34(3), 370–399.CrossRef
Strauss, J., Beegle, K., Sikoki, B., Dwiyanto, A., & Herawati, Y. W. (2004). The third wave of the Indonesia Family Life Survey (IFLS): Overview and field report. Santa Monica, CA: RAND Corporation.
Strauss, J., Witoelar, F., Sikoki, B., & Wattie, A. M. (2009). The fourth wave of the Indonesian Family Life Survey (IFLS4): Overview and field report. Santa Monica, CA: RAND Corporation.
Thomas, D., Witoelar, F., Frankenberg, E., Sikoki, B., Strauss, J., Sumantri, C., et al. (2012). Cutting the costs of attrition: Results from the Indonesia Family Life Survey. Journal of Development Economics, 98(1), 108–123. doi:10.​1016/​j.​jdeveco.​2010.​08.​015.CrossRef
Warner, K., Afifi, T., Henry, K., Rawe, T., Smith, C., & de Sherbinin, A. (2012). Global policy report of the where the rain falls project. Bonn: CARE France and UNU-EHS.
Metadata
Title
Heterogeneous climate effects on human migration in Indonesia
Authors
Brian C. Thiede
Clark L. Gray
Publication date
20-10-2016
Publisher
Springer Netherlands
Published in
Population and Environment / Issue 2/2017
Print ISSN: 0199-0039
Electronic ISSN: 1573-7810
DOI
https://doi.org/10.1007/s11111-016-0265-8