Quantifying benefit losses from poor governance of climate change adaptation projects: A discrete choice experiment with farmers in Kenya

Nthambi, Mary and Wätzold, Frank and Markova-Nenova, Nonka (2018): Quantifying benefit losses from poor governance of climate change adaptation projects: A discrete choice experiment with farmers in Kenya.

Abstract

Climate change impacts pose a great challenge to agriculture in sub-Saharan Africa as droughts become more frequent and more severe. A major roadblock to implementing climate change adaptation measures is poor governance. Given their experience with governing organizations, farmers are highly suitable respondents to assess the appropriateness of different governing organizations to implement adaptation measures on the ground. We surveyed 300 farmers in Makueni County in Kenya applying the choice experiment method to assess their preferences in relation to different attributes of a sand storage dam project to enhance rainwater harvesting as an adaptation measure. Attributes include the organization governing the dam construction, dam wall height and volume of water harvested, the type of pump used to distribute water, number of tree rows planted to prevent silting, and labor time farmers are willing to contribute to dam construction. Responses were analyzed using the mixed logit model. Our key result shows that farmers prefer an NGO as the governing organization, followed closely by a farmer network and, with some distance, a government institution. For the whole of Makueni County, we find that benefit losses of $ 482,766 occur if farmer networks are the governing organizations instead of NGOs and $ 2,679,706 if government institutions govern the dam construction instead of NGOs. While the importance of governance structures for development is well-known, our study is novel as it quantifies the benefit losses that occur due to poor governance in the field of climate change adaptation. On a methodological level, our study contributes to improving the application of choice experiments in developing countries as it draws attention to the careful selection of the payment vehicle. In terms of policy recommendations, our results suggest that substantial benefit losses may occur if appropriate governing organizations are not selected when implementing much needed climate adaptation measures.

• Item Type: MPRA Paper
• Language: English
• Keywords: Good governance, climate change adaptation measures, governing organizations, choice modeling, payment vehicle, willingness to pay
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q51 - Valuation of Environmental Effects; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q54 - Climate ; Natural Disasters and Their Management ; Global Warming

References

ADS (Anglican Development Services) Eastern (2015). Climate change and environmental conservation. Retrieved from <http://www.adseastern.org/case-studies/climate-change-case.html>, (Last accessed: 17.12. 2017).

Behnood, A., Roshandeh, A. M., & Mannering, F. L. (2014). Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities. Analytic Methods in Accident Research, 3(4), 56-91.

Bergstrom, J. C., Boyle, K. J., & Yabe, M. (2004). "Trading taxes vs. paying taxes to value and finance public environmental goods." Environmental and Resource Economics, 28(4 ), 533-549.

Besley, T., & Ghatak, M. (2017). Public–private partnerships for the provision of public goods: Theory and an application to NGOs. Research in Economics, 71, 356–371.

Binswanger-Mkhize, H., & McCalla, A. F. (2010). The Changing Context and Prospects for Agricultural and Rural Development in Africa. Handbook of Agricultural Economics, 4, 3571-3712.

Birol, E., & Das, S. (2010).'Estimating the value of improved wastewater treatment: The case of River Ganga, India'. Journal of Environmental Management, 91(11), 2163-2171.

Bliemer, M. C. J., & Collins, A. T. (2016). On determining priors for the generation of efficient stated choice experimental designs. Journal of Choice Modelling, 21, 10-14.

Bliemer, M. C. J., & Rose, J. M. (2010). Construction of experimental designs for mixed logit models allowing for correlation across choice observations. Transportation Research Part B, 44, 720-734.

Bliemer, M. C. J., & Rose, J. M. (2013). Confidence intervals of willingness-to-pay for random coefficient logit models. Transportation Research Part B, 58, 199–214.

Brass, J. N. (2012). Why Do NGOs Go Where They Go? Evidence from Kenya. World Development, 40(2), 387-401.

Bryan, E., Ringler, C., Okoba, B., Roncoli, C., Silvestri, S., & Herrero, M. (2013). Adapting agriculture to the climate in Kenya: Household strategies and determinants. Journal of Environmental Management, 114, 26-35.

Campos, P., Caparros, A., & Oviedo, J. L. (2007). Comparing payment-vehicle effects in contingent valuation studies for recreational use in two protected Spanish forests. Journal of Leisure Research, 39(1), 60-85.

Cooper, B., Rose., J., & Crase, L. (2012). Does anybody like water restrictions? Some observations in Australian urban communities. The Australian Journal of Agricultural and Resource Economics, 56(1), 61-81.

Deressa, T. T., Hassan, R. M., Ringler, C., Alemu, T., & Yesuf, M. (2009). Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia. Global Environment Change, 19, 284-255.

Detges, A. (2017). Droughts, state-citizen relations and support for political violence in Sub-Saharan Africa: A micro-level analysis. Political Geography, 61, 88-98.

Do, T. N., & Bennett, J. (2009). Estimating wetland biodiversity values: a choice modelling application in Vietnam's Mekong River Delta. Environment and Development Economics,14(02), 163-186.

DoALFS (2016). Ministry of Agriculture Livestock and Fisheries Agriculture Department. Makueni County Background Information, DoALFS/CDA/MKN/GN/RPTS/4 VOL.I/68, [Unpublished County report].

Epule, T. E., Ford, J. D., Lwasa, S., & Lepage, L. (2017). Climate change adaptation in the Sahel. Environmental Science and Policy, 75, 127-137.

Exchange rate (2016). Current and Historical Rate Tables. Retrieved from <https://www.xe.com/currencytables/?from=USD&date=2016-06-30>, (Last accessed: 12.08. 2018).

Fischer, E., & Qaim, M. (2014). Smallholder Farmers and Collective Action: What Determines the Intensity of Participation? Journal of Agricultural Economics, 65(3), 683-702.

Francisco, A., Fredrik, C., & Maria, A. N. (2010). Farmers’ Adaptation to Climate Change. A framed Field Experiment. © 2010 Environment for Development.

Ghosh, S., Maitra, B., & Das, S. S.(2013). Effect of Distributional Assumption of Random Parameters of Mixed Logit Model on Willingness-to-Pay Values. Procedia - Social and Behavioral Sciences, 104, 601 – 610.

Gibson, J. M., Rigby, D., Polya, D. A. & Russell, N. (2015). Discrete Choice Experiments in Developing Countries: Willingness to Pay versus Willingness to Work. Environmental and Resource Economics, 65(4), 697–721.

GoK (2013). Makueni County Annual Development plan 2013-14. Retrieved from <http://kebudgetdocs.ipfkenya.or.ke/docs/Makueni%20County/2013-2014/2013%20Annual%20Development%20Plan.pdf>, (Last accessed: 19.03.2017).

Grigolon, A. B., Borgers, A. W. J., Kemperman, A. D. A. M., & Timmermans, H. J. P. (2014). Vacation length choice: A dynamic mixed multinomial logit model. Tourism Management, 41, 158-167.

HarvestChoice, (2015). "Tropical Livestock Units (TLU, 2005)." International Food Policy Research Institute, Washington, DC., and University of Minnesota, St. Paul, MN. Retrieved from < http://harvestchoice.org/data/an05_tlu>, (Last accessed: 5.08.2018).

Hasselbach, J. L., Roosen, J. (2015). Consumer heterogeneity in the willingness to pay for local and organic food. Journal of Food Products Marketing, 21(6), 608–625.

Hensher, D. A. (1994). Stated preference analysis of travel choices: the state of preference. Transportation Journal, 21, 107-133.

Hensher, D. A., Rose, J. M., & Greene, W. H. (2015). Applied Choice Analysis, second edition, Cambridge University Press.

Hoyos, D. (2010). The state of the art of environmental valuation with discrete choice experiments. Ecological Economics, 69, 1595-1603.

IPCC TAR, (2001). Climate Change 2001: Impacts, Adaptation and Vulnerability. IPCC Third Assessment Report, Cambridge University Press.

Islam, M. T., & Nursey-Bray, M. (2017). Adaptation to climate change in agriculture in Bangladesh: The role of formal institutions. Journal of Environmental Management, 200, 347-358.

Ivehammar, P. (2009). The payment vehicle used in CV studies of environmental goods does matter. Journal of Agricultural and Resource Economics,34(3), 450-463.

Kahn, J. R., Vásquez, W. F., & de Rezende, C. E. (2017). Choice modelling of system-wide or large scale environmental change in a developing country context: Lessons from the Paraíba do Sul River. Science of the Total Environment, 598, 488–496.

Kuhfuss, L., Préget, R., Thoyer, S., & Hanley, N. (2016). Nudging farmers to enrol land into agri-environmental schemes: the role of a collective bonus. European Review of Agricultural Economics, 43(4), 609-636.

Lancaster, K. (1966). A new Approach to consumer theory. Journal of Political Economy, 74, 132-157.

Lo, A. Y., & Jim, C. Y (2015). Community attachment and resident attitude toward old masonry walls and associated trees in urban Hong Kong. Cities, 42, 130-141.

Loewenberg, S. (2014). Breaking the cycle: drought and hunger in Kenya, Special report. The Lancet, 383 (9922), 1025–1028.

Louviere, J., Hensher, D. A., & Swait, J. (2000). Stated Choice Methods, analysis and application Cambridge: Cambridge University Press.

Maddrell, S. and Neal, I. (2012) Sand dams: a Practical Guide, Excellent Development. Excellent pioneers of sand dams. Retrieved from http://www.samsamwater.com/library/Maddrell_and_Neal_2012_Sand_Dams_a_Practical_Guide_LR.pdf, (Last accessed:20.04.2018).

Markova-Nenova, N., & Wätzold, F. (2017): PES for the poor? Preferences of potential buyers of forest ecosystem services for including distributive goals in the design of payments for conserving the dry spiny forest in Madagascar. Forest Policy and Economics, 80, 71-79.

Markova-Nenova, N., & Wätzold, F. (2018). Fair to the cow or fair to the farmer? The preferences of conventional milk buyers for ethical attributes of milk. Land Use Policy, 79, 223-239.

McFadden, D. (1974). Conditional logit analysis of qualitative choice behaviour. In: P. Zarembka, P.(Editor), Frontiers in Econometrics, New York: Academic Press.

Meyerhoff, J., Boeri, M., & Hartje, V. (2014). The value of water quality improvements in the region Berlin–Brandenburg as a function of distance and state residency. Water Resources and Economics, 5, 49–66.

Milman, A., & Warner, B. P. (2016). The interfaces of public and private adaptation: Lessons from flooding in the Deerfield River Watershed. Global Environmental Change, 36, 46–55.

Mishra, A. K., & Singh, V. P. (2011). Drought modelling – A review. Journal of Hydrology, 403(1-2), 157-175.

Morgan, J. (2016). Participation, empowerment and capacity building: Exploring young people's perspectives on the services provided to them by a grassroots NGO in sub-Saharan Africa. Children and Youth Services Review, 65, 175–182.

Muthuri, C. W., Ong, C. K., Black, C. R., Ngumi, V. W., & Mati, B. M (2005).Tree and crop productivity in Grevillea, Alnus and Paulownia-based agroforestry systems in semi-arid Kenya. Forest Ecology and Management, 121, 23-39.

Mutimba, S. Mayieko, S. Olum, P., & Wanyama, K. (2010). Climate Change Vulnerability and Adaptation Prepardness in Kenya. ISBN.9966-7172-3-4. Heinrich Boll Stiftung, East Africa.

Navrud, S., & Pruckner, G. J. (1997). Environmental Valuation – To Use or Not to Use? A Comparative Study of the United States and Europe. Environmental and Resource Economics, 10, 1–26.

NDMA (National Drought Management Authority) (2017). National Drought Management Authority Makueni County. Drought Early warning bulletin for December 2017. Retrieved from <http://www.ndma.go.ke/index.php/resource-center/all-downloads/send/4-makueni/4679-makueni-december-2017>, (Last accessed: 24.02.2018).

Ndunda, E. N., & Mungatana, E. D. (2013).Evaluating the welfare effects of improved wastewater treatment using a discrete choice experiment. Journal of Environmental Management, 123, 49-57.

NPAICC, (2015). National Plan for Adaptation to the Impacts of Climate Change. Cabinet Decision on 27 November 2015. Retrieved from <https://www.env.go.jp/en/focus/docs/files/20151127-101.pdf>, (Last accessed: 12.08.2018).

Onder, H., & Yilmaz, M. (2005). Underground dams. A tool of sustainable development and management of groundwater resources. European Water, 11(12), 35-45.

Orsi, L., Noni, I. D., Corsi, S., & Marchisio, L. V. (2017). Department of Economics, Management and Quantitative Methods, The role of collective action in leveraging farmers' performances: Lessons from sesame seed farmers' collaboration in eastern Chad. Journal of Rural Studies, 51, 93-104.

Osiolo, H. H. (2017). Willingness to pay for improved energy: Evidence from Kenya. Renewable Energy, 112, 104-112.

Pueyo, A. (2018). What constraints renewable energy investment in Sub-Saharan Africa? A comparison of Kenya and Ghana. World Development, 109, 85-100.

Rai, R. K. (2012) Estimating the Benefits of Managing Invasive Plants in Subsistence Communities, Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Deakin University. Retrieved from <https://www.researchgate.net/publication/259338148_Estimating_the_benefits_of_managing_invasive_plants_in_subsistence_communities>, (Last accessed: 2.07.2018).

Randrianarison, H., & Wätzold, F. (2017). "Are buyers of forest ecosystem services willing to consider distributional impacts of payments to local suppliers? Results from a choice experiment in Antananarivo, Madagascar." Environmental Conservation, 44(1), 74-81. Reliefweb, (2017). Kenya: Drought - 2014-2018. Retrieved from <http://reliefweb.int/disaster/dr-2014-000131-ken>, (Last accessed: 15.02.2017).

Robinson, S. (2017). Mainstreaming climate change adaptation in small island developing states. Climate and Development. Retrieved from <https://doi.org/10.1080/17565529.2017.1410086>,.(Last accessed: 25.08.2018).

Roessler, R., Drucker, A. G., Scarpa, R.,Markemann, A., Lemke, U., Thuy, L. T., & Valle Zárate, A. (2008). Using choice experiments to assess smallholder farmers' preferences for pig breeding traits in different production systems in North–West Vietnam. Ecological Economics, 66(1), 184–192.

Shackleton, S., Ziervogel, G., Sallu, S., Gill, T., & Tschakert, P. (2015). Why is socially‐just climate change adaptation in sub‐Saharan Africa so challenging? A review of barriers identified from empirical cases. Wiley Interdisciplinary Reviews: Climate Change, 6(3), 321-344.

Thurstone, L. L. (1927). A law of comparative judgment. Psychological Review, 79, 281- 299.

Transparency international (2018). Corruption perceptions index 2017. Retrieved from <https://www.transparency.org/news/feature/corruption_perceptions_index_2017>, (Last accessed: 10.08. 2018).

UDO (Utooni Development Organization) (2013). Policy and Holistic approach, report, [Unpublished report].

UNFCC, (2006). Technologies for adaptation to climate change. Retrieved from <https://unfccc.int/resource/docs/publications/tech_for_adaptation_06.pdf>, (Last accessed: 12.07.2018).

UNFCCC report, (2015). Adoption of the Paris Agreement. UNFCCC, Paris (2015). Retrieved from <https://unfccc.int/resource/docs/2015/cop21/eng/l09r01.pdf>, (Last accessed: 22.12. 2017).

Vaissière, A. C., Tardieu, L., Quétier, F., & Roussel, S. (2018). Preferences for biodiversity offset contracts on arable land: a choice experiment study with farmers. European Review of Agricultural Economics, 45(4), 553-582.

Waldman, K. B., Ortega, D.L., Richardson, R. B., & Snapp, S. S. (2017). Estimating demand for perennial pigeon pea in Malawi using choice experiments. Ecological Economics, 131, 222–230.

World Bank (2018). Combating Corruption. Retrieved from <http://www.worldbank.org/en/topic/governance/brief/anti-corruption>, (Last accessed: 25.10.2018).

World Data Atlas (2011-2017). Makueni County household. Retrieved from <https://knoema.com/atlas/Kenya/Makueni/Number-of-Households>, (Last accessed: 14.04.2018).

Zamasiya, B., Nyikahadzoi, K., & Mukamuri, B. B. (2017). Factors influencing smallholder farmers' behavioural intention towards adaptation to climate change in transitional climatic zones: A case study of Hwedza District in Zimbabwe. Journal of Environmental Management, 198, 233-239.