IDEAS home Printed from https://ideas.repec.org/p/hhs/gunwpe/0630.html
   My bibliography  Save this paper

Improving Welfare through Climate-friendly Agriculture: The Case of the System of Rice Intensification

Author

Listed:
  • Alem, Yonas

    (Department of Economics, School of Business, Economics and Law, Göteborg University)

  • Eggert, Håkan

    (Department of Economics, School of Business, Economics and Law, Göteborg University)

  • Ruhinduka, Remidius

    (Department of Economics, School of Business, Economics and Law, Göteborg University)

Abstract

We use rich survey data to investigate the impact of a climate-friendly rice farming method known as the system of rice intensification (SRI) on the welfare of rain-dependent small-holder farmers in Tanzania. SRI reduces water consumption by half, which makes it a promising farming system in the adaptation to climate change in moisture-constrained areas, and it does not require flooding of rice fields, resulting in reduced methane emissions. Endogenous switching regression results suggest that SRI indeed improves yield in rain-dependent areas, but its profitability hinges on the actual market price farmers face. SRI becomes profitable only when the rice variety sells at the same market price as that of traditional varieties, but results in loss when SRI rice sells at a lower price. We argue that the effort of promoting adoption of such types of climate-friendly agricultural practices requires complementary institutional reform and support in order to ensure their profitability to small-holder farmers.

Suggested Citation

  • Alem, Yonas & Eggert, Håkan & Ruhinduka, Remidius, 2015. "Improving Welfare through Climate-friendly Agriculture: The Case of the System of Rice Intensification," Working Papers in Economics 630, University of Gothenburg, Department of Economics.
  • Handle: RePEc:hhs:gunwpe:0630
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/2077/40976
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2013. "Impacts of natural resource management technologies on agricultural yield and household income: The system of rice intensification in Timor Leste," Ecological Economics, Elsevier, vol. 85(C), pages 59-68.
    2. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
    3. Hanan G. Jacoby, 1993. "Shadow Wages and Peasant Family Labour Supply: An Econometric Application to the Peruvian Sierra," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(4), pages 903-921.
    4. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
    5. Christopher B. Barrett & Christine M. Moser & Oloro V. McHugh & Joeli Barison, 2004. "Better Technology, Better Plots, or Better Farmers? Identifying Changes in Productivity and Risk among Malagasy Rice Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 869-888.
    6. Yonas Alem & Mintewab Bezabih & Menale Kassie & Precious Zikhali, 2010. "Does fertilizer use respond to rainfall variability? Panel data evidence from Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 41(2), pages 165-175, March.
    7. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    8. Christopher B. Barrett & Shane M. Sherlund & Akinwumi A. Adesina, 2008. "Shadow wages, allocative inefficiency, and labor supply in smallholder agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 21-34, January.
    9. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    10. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2012. "Farm Diversity and Heterogeneous Impacts of System Technologies on Yield, Income and Poverty: The System of Rice Intensification in Timor Leste," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125595, International Association of Agricultural Economists.
    11. Stoop, Willem A. & Uphoff, Norman & Kassam, Amir, 2002. "A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers," Agricultural Systems, Elsevier, vol. 71(3), pages 249-274, March.
    12. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2012. "Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste," Agricultural Systems, Elsevier, vol. 108(C), pages 64-73.
    13. Mark R. Rosenzweig, 1980. "Neoclassical Theory and the Optimizing Peasant: An Econometric Analysis of Market Family Labor Supply in a Developing Country," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 94(1), pages 31-55.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alem, Yonas & Eggert, Håkan & Kocher, Martin G. & Ruhinduka, Remidius D., 2018. "Why (field) experiments on unethical behavior are important: Comparing stated and revealed behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 71-85.
    2. Kajisa, Kei & Vu, Trang Thu, 2023. "The importance of farm management training for the African rice Green Revolution: Experimental evidence from rainfed lowland areas in Mozambique," Food Policy, Elsevier, vol. 114(C).
    3. Yuko Nakano & Yuki Tanaka & Keijiro Otsuka, 2018. "Impact of training on the intensification of rice farming: evidence from rainfed areas in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 193-202, March.
    4. Hambulo Ngoma, 2018. "Does minimum tillage improve the livelihood outcomes of smallholder farmers in Zambia?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(2), pages 381-396, April.
    5. Aslihan Arslan & Kristin Floress & Christine Lamanna & Leslie Lipper & Solomon Asfaw & Todd Rosenstock, 2020. "IFAD RESEARCH SERIES 63 - The adoption of improved agricultural technologies - A meta-analysis for Africa," IFAD Research Series 304758, International Fund for Agricultural Development (IFAD).
    6. Chen, Qihui & Chen, Yu & Zhao, Qiran, 2020. "Impacts of boarding on primary school students’ mental health outcomes – Instrumental-Variable evidence from rural northwestern China," Economics & Human Biology, Elsevier, vol. 39(C).
    7. Ngoma, Hambulo & Angelsen, Arild, 2018. "Can conservation agriculture save tropical forests? The case of minimum tillage in Zambia," Forest Policy and Economics, Elsevier, vol. 97(C), pages 153-162.
    8. Ngoma,Hambulo & Finn,Arden Jeremy & Kabisa,Mulako, 2021. "Climate Shocks, Vulnerability, Resilience and Livelihoods in Rural Zambia," Policy Research Working Paper Series 9758, The World Bank.
    9. Andreas Tsakiridis & Michael Wallace & James Breen & Cathal O'Donoghue & Kevin Hanrahan, 2021. "Beef quality assurance schemes: Can they improve farm economic performance?," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 451-471, July.
    10. Thomas Sterner, 2015. "Beyond IPCC, Research for Paris 2015 and Beyond," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 207-215, October.
    11. Giulio Fusco & Marta Melgiovanni & Donatella Porrini & Traci Michelle Ricciardo, 2020. "How to Improve the Diffusion of Climate-Smart Agriculture: What the Literature Tells us," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    12. Edmond Totin & Alcade C. Segnon & Marc Schut & Hippolyte Affognon & Robert B. Zougmoré & Todd Rosenstock & Philip K. Thornton, 2018. "Institutional Perspectives of Climate-Smart Agriculture: A Systematic Literature Review," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    13. Mintewab Bezabih & Remidius Ruhinduka & Mare Sarr, 2016. "Climate change perception and system of rice intensification (SRI) impact on dispersion and downside risk: a moment approximation approach," GRI Working Papers 256, Grantham Research Institute on Climate Change and the Environment.
    14. Sarr, Mare & Bezabih Ayele, Mintewab & Kimani, Mumbi E. & Ruhinduka, Remidius, 2021. "Who benefits from climate-friendly agriculture? The marginal returns to a rainfed system of rice intensification in Tanzania," World Development, Elsevier, vol. 138(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yonas Alem & Håkan Eggert & Remidius Ruhinduka, 2015. "Improving Welfare Through Climate-Friendly Agriculture: The Case of the System of Rice Intensification," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 243-263, October.
    2. Mintewab Bezabih & Remidius Ruhinduka & Mare Sarr, 2016. "Climate change perception and system of rice intensification (SRI) impact on dispersion and downside risk: a moment approximation approach," GRI Working Papers 256, Grantham Research Institute on Climate Change and the Environment.
    3. Berkhout, Ezra & Glover, Dominic & Kuyvenhoven, Arie, 2015. "On-farm impact of the System of Rice Intensification (SRI): Evidence and knowledge gaps," Agricultural Systems, Elsevier, vol. 132(C), pages 157-166.
    4. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2013. "Impacts of natural resource management technologies on agricultural yield and household income: The system of rice intensification in Timor Leste," Ecological Economics, Elsevier, vol. 85(C), pages 59-68.
    5. Bairagi, Subir & Bhandari, Humnath & Kumar Das, Subrata & Mohanty, Samarendu, 2021. "Flood-tolerant rice improves climate resilience, profitability, and household consumption in Bangladesh," Food Policy, Elsevier, vol. 105(C).
    6. Varma, Poornima, 2017. "Adoption of System of Rice Intensification and its Impact on Rice Yields and Household Income: An Analysis for India," IIMA Working Papers WP2017-02-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
    7. Varma, P., 2018. "Adoption and the Impact of System of Rice Intensification on Rice Yields and Household Income: A study for India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275986, International Association of Agricultural Economists.
    8. Rakhshanda, Kousar & Awudu, Abdulai, 2013. "Impacts of rural non-farm employment on household welfare in Pakistan," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149890, Italian Association of Agricultural and Applied Economics (AIEAA).
    9. Doris Läpple & Thia Hennessy & Carol Newman, 2013. "Quantifying the Economic Return to Participatory Extension Programmes in Ireland: an Endogenous Switching Regression Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 467-482, June.
    10. Varma, Poornima, 2016. "Agricultural Technology Adoption under Multiple Constraints: An Analysis of System of Rice Intensification (SRI) in India," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235806, Agricultural and Applied Economics Association.
    11. Yuko Nakano & Yuki Tanaka & Keijiro Otsuka, 2018. "Impact of training on the intensification of rice farming: evidence from rainfed areas in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 193-202, March.
    12. Almeida, Alexandre N. & Bravo-Ureta, Boris E., 2019. "Agricultural productivity, shadow wages and off-farm labor decisions in Nicaragua," Economic Systems, Elsevier, vol. 43(1), pages 99-110.
    13. André Dumas Tsambou & Lionie Mafang & Thierno Malick Diallo & Benjamin Fomba Kamga, 2024. "Impact of job training program on employment outcomes in Senegal," SN Business & Economics, Springer, vol. 4(8), pages 1-33, August.
    14. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    15. Benali, Marwan & Brümmer, Bernhard & Afari-Sefa, Victor, 2017. "Small producer participation in export vegetable supply chains and poverty: evidence from different export schemes in Tanzania," GlobalFood Discussion Papers 262583, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    16. Song, Chunxiao & Liu, Ruifeng & Oxley, Oxley & Ma, Hengyun, 2018. "The adoption and impact of engineering-type measures to address climate change: evidence from the major grain-producing areas in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(4), October.
    17. Lan Anh Tong & Mehmet Ali Ulubaşoğlu & Cahit Guven, 2022. "Growing more Rice with less water: the System of Rice Intensification and water productivity in Vietnam," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(3), pages 581-611, July.
    18. Armel Nonvide, Gbêtondji Melaine, 2023. "Impact of information and communication technologies on agricultural households’ welfare in Benin," Telecommunications Policy, Elsevier, vol. 47(6).
    19. Sebastian Edwards & I. Igal Magendzo, 2003. "Dollarization and economic performance: What do we really know?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(4), pages 351-363.
    20. Yang, Jinqiu & Hong, Yongmiao & Ma, Shuangge, 2016. "Impact of the new health care reform on hospital expenditure in China: A case study from a pilot city," China Economic Review, Elsevier, vol. 39(C), pages 1-14.

    More about this item

    Keywords

    Adaptation to climate change; Endogenous switching regression; Impact evaluation; System of rice intensification; Tanzania;
    All these keywords.

    JEL classification:

    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:gunwpe:0630. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jessica Oscarsson (email available below). General contact details of provider: https://edirc.repec.org/data/naiguse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.