American Journal of Rural Development
ISSN (Print): 2333-4762 ISSN (Online): 2333-4770 Website: http://www.sciepub.com/journal/ajrd Editor-in-chief: Chi-Ming Lai
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American Journal of Rural Development. 2017, 5(3), 73-80
DOI: 10.12691/ajrd-5-3-3
Open AccessArticle

Smallholder Farmers’ Willingness to Pay for Improved Cookstoves in Dedza, Malawi

Emily McNulty1, , Thea Nielsen1 and Manfred Zeller1

1Rural Development Theory and Policy, Hans-Ruthenberg Institute, University of Hohenheim, Stuttgart 70593, Germany

Pub. Date: May 17, 2017

Cite this paper:
Emily McNulty, Thea Nielsen and Manfred Zeller. Smallholder Farmers’ Willingness to Pay for Improved Cookstoves in Dedza, Malawi. American Journal of Rural Development. 2017; 5(3):73-80. doi: 10.12691/ajrd-5-3-3

Abstract

As improved cookstove programs increase in popularity, policy makers need accurate estimates of their constituents’ willingness to pay for the stoves. Knowing which socioeconomic factors affect willingness to pay will allow program planners to price and target the stoves effectively. This study elicits the willingness to pay of 300 rural Malawians in Dedza District for two types of stove and explores the determinant socioeconomic factors. Respondents were willing to pay a median price of 7 USD for a clay stove and 9 USD for a rocket stove. In the clay stove regression model, willingness to pay is positively correlated with dietary diversity and negatively correlated with fuel expenditure. In the rocket stove regression model, willingness to pay is positively correlated with net household income and dietary diversity, and negatively correlated with higher incidence of cooking-related ailments. A literature review reveals that because of the discrepancy between short-term and long-term impacts of improved cookstove adoption, the focus of stove programs should be sustained, proper stove use by adopters, not just dissemination. Positive impact estimates are inflated when only short-term adoption data and laboratory fuel test results are used; more long-term impact evaluations are needed. Further, the study of socioeconomic determinants of stove adoption alone is inadequate for a self-sustaining, unsubsidized improved cookstove market. Choice elicitation experiment studies on product-specific attributes, that is stove characteristics, should complement socioeconomic findings to determine what is most desired by the target market.

Keywords:
improved cookstove willingness to pay chitetezo mbaula rocket stove

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Arnold, J. E. M., Kohlin, G., Persson, R., & Shepherd, G. (2003). Fuelwood Revisited: What has changed in the last decade? (No. CIFOR Occasional Paper no. 39, pp. viii-35p). CIFOR, Bogor, Indonesia.
 
[2]  Bensch, G., & Peters, J. (2012). A Recipe for Success? Randomized Free Distribution of Improved Cooking Stoves in Senegal (Ruhr Economic Papers No. 325). Bochum, Germany.
 
[3]  Bensch, G., & Peters, J. (2013). Alleviating deforestation pressures? Impacts of improved stove dissemination on charcoal consumption in urban Senegal. Land Economics, 89(4), 676-698.
 
[4]  Blumenschein, K., Blomquist, G., Johannesson, M., Horn, N., & Freeman, P. (2008). Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment. The Economic Journal, 118, 114-137.
 
[5]  Bound, J. (1989). Self-reported vs. objective measures of health in retirement models (No. w2997). National Bureau of Economic Research.
 
[6]  Bruce, N., Perez-Padilla, R., & Albalak, R. (2002). The health effects of indoor air pollution exposure in developing countries. Geneva, Switzerland.
 
[7]  Chatterjee, S., Hadi, A., & Price, B. (2000). The use of regression analysis by example. In: Hamilton, L. (2009). Statistics with Stata: version 10. Brooks/Cole, Cengage Learning, Belmont, USA, p. 226.
 
[8]  Carletto, C. (1999). Constructing samples for characterizing household security and for monitoring and evaluating food security interventions: Theoretical concerns and practical guidelines. Retrieved April 18, 2015.
 
[9]  Damschroder, L., Ubel, P., Riis, J., & Smith, D. (2007). An Alternative Approach for Eliciting Willingness-To-Pay: A Randomized Internet Trial. Judgement and Decision Making, 2(2), 96-106.
 
[10]  Dunning, D., Heath, C., & Suls, J. M. (2004). Flawed self-assessment implications for health, education, and the workplace. Psychological science in the public interest, 5(3), 69-106.
 
[11]  El Tayeb Muneer, S., & Mukhtar Mohamed, E. W. (2003). Adoption of biomass improved cookstoves in a patriarchal society: An example from Sudan. The Science of The Total Environment, 307, 259-266.
 
[12]  Fitzgerald, C., Aguilar-Villalobos, M., Eppler, A. R., Dorner, S. C., Rathbun, S. L., & Naeher, L. P. (2012). Testing the effectiveness of two improved cookstove interventions in the Santiago de Chuco Province of Peru. The Science of the Total Environment, 420, 54-64.
 
[13]  Food and Agriculture Organization. (2016). Country Report Malawi: Forest Resources. Retrieved October 12, 2016, from http://www.fao.org/docrep/004/ab585e/AB585E04.htm.
 
[14]  García-Frapolli, E., Schilmann, A., Berrueta, V. M., Riojas-Rodríguez, H., Edwards, R. D., Johnson, M., … Masera, O. (2010). Beyond fuelwood savings: Valuing the economic benefits of introducing improved biomass cookstoves in the Purépecha region of Mexico. Ecological Economics, 69, 2598-2605.
 
[15]  Gill, J. (1987). Improved stoves in developing countries: A critique. Energy Policy, 15(2), 135-144.
 
[16]  Global Alliance for Clean Cookstoves. (2016). Country Profile: Malawi. Retrieved October 12, 2016, from http://cleancookstoves.org/country-profiles/25-malawi.html.
 
[17]  Habermehl, H. (2008). Costs and benefits of efficient institutional cook stoves in Malawi. Eschborn, Germany.
 
[18]  Hanna, R., Duflo, E., & Greenstone, M. (2012). UP IN SMOKE: THE INFLUENCE OF HOUSEHOLD BEHAVIOR ON THE LONG-RUN IMPACT OF IMPROVED COOKING STOVES (Working Paper No. 12-10). Cambridge, Massachusetts.
 
[19]  Hensher, D. (2010). Hypothetical Bias, Choice Experiments and Willingness to Pay. Transportation Research Part B, 735-752.
 
[20]  Jan, I. (2012). What makes people adopt improved cookstoves? Empirical evidence from rural northwest Pakistan. Renewable and Sustainable Energy Reviews, 16, 3200-3205.
 
[21]  Kennedy, G., Ballard, T., & Dop, M. (2010). Guidelines for measuring household and individual dietary diversity. Retrieved October 10, 2014, from http://www.fao.org/docrep/014/i1983e/i1983e00.pdf.
 
[22]  Martin II, W. J., Glass, R., Balbus, J., & Collins, F. (2011). A Major Environmental Cause of Death. Science, 334, 180-181.
 
[23]  Miller, G., & Mobarak, A. M. (2011). INTRA-HOUSEHOLD EXTERNALITIES AND LOW DEMAND FOR A NEW TECHNOLOGY: EXPERIMENTAL EVIDENCE ON IMPROVED COOKSTOVES. Unpublished Manuscript, Stanford, California.
 
[24]  Mobarak, A. M., Dwivedi, P., Bailis, R., Hildemann, L., & Miller, G. (2012). Low demand for nontraditional cookstove technologies. Proceedings of the National Academy of Sciences of the United States of America, 109(27), 10815-20.
 
[25]  Murphy, J., Allen, G. P., Stevens, T., & Wheatherhead, D. (2005). A Meta-Analysis of Hypothetical Bias in Stated Preference Evaluation. Environmental and Resource Economics, 30, 313-325.
 
[26]  Nielsen, T., Schuenemann, F., McNulty, E., Zeller, M., Nkonya, E., Kato, E., … Mapemba, L. (2015). The Food-Energy-Water Security Nexus: Definitions, Policies, and Methods in an Application to Malawi and Mozambique (IFPRI Environment and Production Technology Division: Discussion Paper No. 1480). IFPRI Discussion Paper 01480. Washington, D.C. Retrieved from http://ssrn.com/abstract=2740663.
 
[27]  Pine, K., Edwards, R., Masera, O., Schilmann, A., Marrón-Mares, A., & Riojas-Rodríguez, H. (2011). Adoption and use of improved biomass stoves in Rural Mexico. Energy for Sustainable Development, 15, 176-183.
 
[28]  Rehfuess, E., Mehta, S., & Prüss-Üstün, A. (2006). Assessing Household Solid Fuel Use: Multiple Implications for the Millennium Development Goals. Environmental Health Perspectives, 114(3), 373-378.
 
[29]  Rogers, W. H. (1993). Regression standard errors in clustered samples. Stata Technical Bulletin, (13), 19-23.
 
[30]  Ruiz-Mercado, I., Masera, O., Zamora, H., & Smith, K. R. (2011). Adoption and sustained use of improved cookstoves. Energy Policy, 39, 7557-7566.
 
[31]  Takama, T., Tsephel, S., & Johnson, F. X. (2012). Evaluating the relative strength of product-specific factors in fuel switching and stove choice decisions in Ethiopia. A discrete choice model of household preferences for clean cooking alternatives. Energy Economics, 34, 1763-1773.
 
[32]  The Economist. (2010). Silent and Deadly: Smoke from cooking stoves kills poor people. The Economist.
 
[33]  US Department of State. (2014). US and Ireland partner with President Joyce Banda to reach 2 million clean cook-stoves in Malawi by 2020. Retrieved October 19, 2016, from https://lilongwe.usembassy.gov/pressreleases5/clean-cook-stoves.html.
 
[34]  Williams, R. L. (2000). A note on robust variance estimation for cluster-correlated data. Biometrics, (56), 645-646.
 
[35]  White, S. (2010). Extreme poverty and its impact on women's vulnerability to HIV transmission: a rights issue. The International Journal of Human Rights, 14(1), 75-91.
 
[36]  The World Bank. (2015). Price level ratio of PPP conversion factor (GDP) to market exchange rate. International Comparison Program database. Retrieved April 29, 2015, from http://data.worldbank.org/indicator/PA.NUS.PPPC.RF?order=wbapi_data_value_2013+wbapi_data_value+wbapi_data_value-last&sort=asc.