Determinants of farm households’ willingness to accept (WTA) compensation for conservation technologies in Northern GhanaAhiale, E. D., Balcombe, K. and Srinivasan, C. ORCID: https://orcid.org/0000-0003-2537-7675 (2020) Determinants of farm households’ willingness to accept (WTA) compensation for conservation technologies in Northern Ghana. Bio-based and Applied Economics, 8 (2). pp. 211-234. ISSN 2280-6172
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.13128/bae-8931 Abstract/SummaryThis paper examines the determinants of farmers’ willingness-to-accept (WTA) in a hypothetical payment scheme for the adoption of stone and soil bunds in northern Ghana using contingent valuation data from 305 farm households. Bayesian estimation of the interval-data regression model is employed to obtain farmers’ WTA and its determinants. Besides farmer and household characteristics, farm characteristics and socioeconomic and institutional variables such as soil fertility and previous participation in conservation projects increase and decrease willingness-to-accept respectively. The results suggest that costs of soil and water conservation payment schemes may be significantly decreased by careful targeting of households more ready to accept compensation.
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Adanu, S.K., Mensah, F.K. and Adanu, S.K. (2013). Enhancing Environmental Integrity in the Northern Savanna Zone of Ghana: A Remote Sensing and GIS Approach. Jour- nal of Environment and Earth Science 3(5): 67-77.
Agyepong, G.T. (1987). Perspectives on Land Resource Planning for Conservafion in Ghana.
Environmental Protection Council (EPA), Accra.
Akter, S. and Bennett, J. (2013). Preference uncertainty in stated preference studies: facts and artefacts. Applied Economics 45(15): 2107-2115.
Akter, S., Bennett, J. and Akhter, S. (2008). Preference uncertainty in contingent valuation.
Ecological Economics 67(3): 345-351.
Alberini, A. (1995). Efficiency vs Bias of Willingness-to-Pay Estimates: Bivariate and
Interval-Data Models. Journal of Environmental Economics and Management 29(2):
169-180.
Alberini, A., Boyle, K. and Welsh, M. (2003). Analysis of contingent valuation data with multiple bids and response options allowing respondents to express uncertainty. Journal of Environmental Economics and Management 45(1): 40-62.
Ariely, D., Loewenstein, G. and Prelec, D. (2003). “Coherent arbitrariness”: Stable demand curves without stable preferences. Quarterly Journal of Economics 118(1): 73-105.
Aryeetey, E. and Baah-Boateng, W. (2015). Understanding Ghana’s growth success story and job creation challenges. Helsinki, Finland: UNU-WIDER.
Asiedu-Amoako, S., Ntiamoah, M.K. and Gedzi, V.S. (2016). Environmental Degradation: A Challenge to Traditional Leadership at Akyem Abuakwa in the Eastern Region of Ghana. American Journal of Indigenous Studies 1(1): 1-13.
Ayuya, O.I., Lagat, J.K. and Mironga, J.M. (2011). Factors influencing potential acceptance and adoption of clean development mechanism projects: Case of carbon trade pro- ject among small scale farmers in Njoro District, Kenya. Research Journal of Envi- ronmental and Earth Sciences 3(3): 275-285.
Baker, J. (2000). Evaluating the Impact of Development Projects on Poverty: A Handbook for
Practitionersb. Washington, DC: World Bank.
Balcombe, K., Chalak, A. and Fraser, I. (2009). Model selection for the mixed logit with
Bayesian estimation. Journal of Environmental Economics and Management 57(2):
226-237.
Bateman, I., Burgess, D., Hutchinson, W.G. and Matthews, D. (2004). Learning Effects in Repeated Dichotomous Choice Contingent Valuation Questions. Paper presented at the Royal Economic Society Annual Conference. Swansea.
Benneh, G. and Agyepong, G.T. (1990). Land Degradation in Ghana. Commonwealth Sec- retariat, London; University of Ghana, Legon, Ghana.
Bingham, G., Bishop, R., Brody, M., Bromley, D., Clark, E., Cooper, W., et al. (1995).
Issues in ecosystem valuation: improving information for decision making. Ecologi- cal Economics 14(2): 73-90.
oardman, J., Poesen, J. and Evans, R. (2003). Socio-economic factors in soil erosion and conservation. Environmental Science & Policy 6(1): 1-6.
Bockstael, N.E., Freeman, A.M., Kopp, R.J., Portney, P.R. and Smith, V.K. (2000). On
Measuring Economic Values for Nature. Environmental Science & Technology 34(8):
1384-1389.
BoG. (2010). Bank of Ghana Annual Report. Accra: Bank of Ghana.
Broberg, T. and Brännlund, R. (2008). An alternative interpretation of multiple bounded WTP data--Certainty dependent payment card intervals. Resource and Energy Eco- nomics 30(4): 555-567.
Champ, P.A., Bishop, R.C., Brown, T.C. and McCollum, D.W. (1997). Using Donation Mechanisms to Value Nonuse Benefits from Public Goods. Journal of Environmental Economics and Management 33(2): 151-162.
Cooper, J.C. and Keim, R.W. (1996). Incentive Payments to Encourage Farmer Adoption of Water Quality Protection Practices. American Journal of Agricultural Economics
78(1): 54-64.
Cummings, R.G., Brookshire, D.S., Schulze, W.D., Bishop, R.C. and Arrow, K.J. (1986).
Valuing Environmental Goods: An Assessment of the Contingent Valuation Method. Totowa, NJ: Rowman & Allanheld.
Dasgupta, P. and Mäler, K.-G. (1995). Chapter 39 Poverty, institutions, and the environ- mental resource-base. In Jere, B. and Srinivasan, T.N. (Eds.), Handbook of Develop- ment Economics, Elsevier, pp. 2371-2463.
Diao, X. and Sarpong, D.B. (2007). Cost implications of agricultural land degradation in Ghana: An economywide, multimarket model assessment. Washington, DC: Interna- tional Food Policy Research Institute (IFPRI).
Eswaran, H., Lal, R. and Reich, P.F. (2001). Land Degradation: an Overview. Conference Proceedings of the 2nd International Conference on Land Degradation and Desertifi- cation. Khon Kaen, Thailand: Oxford Press.
FAO. (2000). Applications of the contingent valuation method in developing countries: A
survey (Vol. 146). Rome: United Nations Food and Agriculture Organization.
FAO. (2011). Assessing forest degradation. Towards the development of globally applicable guidelines. Forest Resources Assessment Working Paper 177. Rome.
Feng, D., Liang, L., Wu, W., Li, C., Wang, L., Li, L., et al. (2018). Factors influencing will- ingness to accept in the paddy land-to-dry land program based on contingent value method. Journal of Cleaner Production 183: 392-402.
GLSS5. (2008). Ghana Living Standards Survey Report of the Fifth Round. Accra: Ghana
Statistical Service.
Gomiero, T. (2016). Soil Degradation, Land Scarcity and Food Security: Reviewing a
Complex Challenge. Sustainability 8(3): 1-41.
Greene, W.H. (2003). Econometric Analysis (5th ed.). New Jersey: Prentice Hall.
Hamdy, A. and Aly, A. (2014). Land degradation, agriculture productivity and food secu- rity. Fifth International Scientific Agricultural Symposium. Agrosym 2014. (October
2014).
Hanemann, W.M., Loomis, J. and Kanninen, B. (1991). Statistical Efficiency of Double- Bounded Dichotomous Choice Contingent Valuation. American Journal of Agricul- tural Economics 73(4): 1255-1263.
Heath, J. and Binswanger, H. (1996). Natural resource degradation effects of poverty and population growth are largely policy-induced: the case of Colombia. Environment and Development Economics 1(01): 65-84.
Helming, K., Rubio, J. and Boardman, J. (2006). Soil erosion across Europe: research approaches and perspectives. Catena 68(2-3).
Hemant, K. and Padmini, P. (2013). Effects of soil erosion on agricultural productivity in semi-arid regions: the case of Lower Chambal Valley. Journal of Rural Development (Hyderabad) 32(2): 165-180.
Holland, J.M. (2004). The environmental consequences of adopting conservation tillage in
Europe: reviewing the evidence. Agriculture, Ecosystems & Environment 103(1): 1-25. Jones, A., Breuning-Madsen, H., Brossard, M., Dampha, A., Deckers, J., Dewitte, O., et al. (2013). Soil Atlas of Africa. Luxembourg: Publications Office of the European Union. Kenworthy, J.M. (1995). Environmental degradation and desertification in Ghana: a study
of the Upper Western Region. African Affairs 94(374): 120-121.
Koop, G. (2003). Bayesian Econometrics. Chichester, West Sussex: John Wiley & Sons Ltd. Krishna, V.V., Drucker, A.G., Pascual, U., Raghu, P.T. and King, E.D.I.O. (2013). Estimat-
ing compensation payments for on-farm conservation of agricultural biodiversity in developing countries. Ecological Economics 87: 110-123.
Lal, R. (1995). Erosion-Crop Productivity Relationships for Soils of Africa. Soil Science
Society of America Journal 59(3): 661-667.
Li, C.-Z. and Mattsson, L. (1995). Discrete Choice under Preference Uncertainty: An Improved Structural Model for Contingent Valuation. Journal of Environmental Eco- nomics and Management 28(2): 256-269.
Ludi, E. (1997). Household and communal strategies: small-scale farming families and their options for self-improvement: A case study in Anjeni, Ethiopia. Addis Abeba and Bern: Soil Conservation Research Programme, Research Report 30.
Matta, J.R., Alavalapati, J.R.R. and Mercer, D.E. (2009). Incentives for Biodiversity Conser- vation Beyond the Best Management Practices: Are Forestland Owners Interested? Land Economics 85(1): 132-143.
Minten, B. (2003). Compensation and Cost of Conservation Payments for Biodiversity.
Cornell Food and Nutrition Policy Program Working Paper, 142.
Mitchell, R.C. and Carson, R.T. (1989). Using surveys to value public goods: The contingent valuation method: Resources for the Future, Washington DC
Nabhan, H. (1997). Integrated soil management for sustainable agriculture and food secu- rity in southern and east Africa (pp. 8-12). Harare, Zimbabwe: Proceedings of FAO/ ISCW Expert Consultation on Management of Degraded Soils in Southern and East Africa (MADS – SEA).
Nijnik, M. and Miller, D. (2017). Valuation of ecosystem services: paradox or Pandora’s box for decision-makers? One Ecosystem 2:e14808: 1-33.
Ninan, K.N., Jyothis, S., Babu, P. and Ramakrishnappa, V. (2007). The Economics of Biodi- versity Conservation: Valuation in Tropical Forest Ecosystems. London: Earthscan.
Obalum, S.E., Buri, M.M., Nwite, J.C., Hermansah, Watanabe, Y., Igwe, C.A., et al. (2012).
Soil Degradation-Induced Decline in Productivity of Sub-Saharan African Soils: The Prospects of Looking Downwards the Lowlands with the Sawah Ecotechnology. Applied and Environmental Soil Science 2012: 10.
Pearce, D. (2002). The Role of ‘Property Rights’ in Determining Economic Values for Envi- ronmental Costs and Benefits. Bristol: The Environment Agency.
Philcox, N. (2007). Literature review and framework analysis of non-market goods and services provided by British Columbia’s Ocean and Marine Coastal Resources: Can- ada/British Columbia Oceans Coordinating Committee.
Poe, G.L. (2016). Behavioral Anomalies in Contingent Values and Actual Choices. Agricul- tural and Resource Economics Review 45(2): 246-269.
PRESA/ICRAF (2010). Assessing landholder preferences for alternative land management schemes and willingness to accept rewards for watershed services provision: the case of Kapingazi River basin, Mt. Kenya East. Nairobi: Pro-poor Reward for Environ- mental Services in Africa (PRESA/ICRAF).
Ready, R.C., Champ, P.A. and Lawton, J.L. (2010). Using Respondent Uncertainty to Miti- gate Hypothetical Bias in a Stated Choice Experiment. Land Economics 86(2): 363-
381.
Ready, R.C., Whitehead, J.C. and Blomquist, G.C. (1995). Contingent Valuation When
Respondents Are Ambivalent. Journal of Environmental Economics and Management
29(2): 181-196.
Sangkapitux, C., Neef, A., Polkongkaew, W., Pramoon, N., Nonkiti, S. and Nanthasen, K. (2009). Willingness of upstream and downstream resource managers to engage in compensation schemes for environmental services. International Journal of the Com- mons 3(1): 41-63.
Sant, R.A. (2001). Soil degradation and crop production in arid regions of Africa, The 4th Session of the Inter-African Experts Committee on African Soils Conference (pp. 6–8.). Accra, Ghana.
Schwartz, G.J. (2017). The role of women in payment for environmental services programs in Osa, Costa Rica. Gender, Place & Culture 24(6): 890-910.
Senayah, J.K., Adjei-Gyapong, T. and Asiamah, R.D. (1998). Soils of the Busa agricultural station of the Upper West Region. Kumasi, Ghana: Soil Research Institute (SRI) of The Council for Scientific and Industrial Research (CSIR).
Shetty, S.V.R., Debrah, S.K. and Renard, C. (1995). Technology development, testing and transfer: An overview of ICRISAT’s experience in semi-arid Africa, Proceedings of Workshop on Moist Savannas of Africa: Potentials and constraints for crop production. Cotonou, Benin.
Shiferaw, B., Freeman, H.A. and Navrud, S. (2005). Valuation Methods and Approaches for Assessing Natural Assessment: Management Impacts. In Shiferaw, B., Freeman, H.A. and Swinton, S.M. (Eds.), Natural Resource Management in Agriculture: Meth- ods for Assessing Economic and Environmental Impacts. Wallingford: CABI Publish- ing, pp. 19-51.
Shiferaw, B. and Holden, S.T. (2001). Farm-level benefits to investments for mitigating land degradation: empirical evidence from Ethiopia. Environment and Development Economics 6: 335-358.
Stephen, C. (2015). Willingness to accept payment for conservation of ecosystem services in Mount Kilimanjaro, Tanzania and Taita Hills, Kenya. Unpublished MSc. disserta- tion, Department of Agricultural Economics and Agribusiness, Sokoine University of Agriculture, Morogoro, Tanzania.
Stocking, M. and Abel, N. (1989). Labour Costs: A Critical Element in Soil Conservation.
6th International Soil Conservation Conference. Addis Ababa, Ethiopia.
Sukic, A.D.M. (2001). Landowners’ willingness to accept compensation for selling saltwa- ter marshes to a conservation program: a multiple bounded discrete choice approach: McGill University.
Thurston, H.W. (2006). Non-market valuation on the internet. In Alberini, A. and Kahn, J. (Eds.), Handbook on Contingent Valuation. Edward Elgar: Edward Elgar, pp. 265-
291.
UNCCD. ( 2013). The Economics of Desertification, Land Degradation and Drought: Meth- odologies and Analysis for Decision-Making. Bonn: United Nations Convention to Combat Desertification.
Verbeek, M. (2004). A Guide to Modern Econometrics. Chichester: John Wiley & Sons, Ltd. Vlek, P.L.G., Le, B.Q. and Tamene, L. (2008). Land decline in Land-Rich Africa: A creeping
disaster in the making. Rome: CGIAR Science Council Secretariat.
Wang, J., Moucheng, L., Yang, L. and Min, Q. (2018). Factors Affecting the Willingness of Farmers to Accept Eco-Compensation in the Qianxi Chestnut Agroforestry System, Hebei. Journal of Resources and Ecology 9(4): 407-415.
Wang, X., Adamowski, J.F., Wang, G., Cao, J., Zhu, G., Zhou, J., et al. (2019). Farmers’ Willingness to Accept Compensation to Maintain the Benefits of Urban Forests. For- ests 10(8): 691.
Webb, J., Loveland, P.J., Chambers, B.J., Mitchell, R. and Garwood, T. (2001). The impact of modern farming practices on soil fertility and quality in England and Wales. The Journal of Agricultural Science 137(02): 127-138.
World Bank (1992). Ghana 2000 and beyond: setting the stage for accelerated growth and poverty reduction: Report No. 11486-GH, Western Africa Department, The World Bank, Washington, D.C.
World Bank (2006). Ghana Country Environmental Analysis: Report No: 36985-GH, Envi- ronmentally and Socially Sustainable Development Department (AFTSD), African Region, World Bank.
Wunder, S. (2008). Necessary conditions for ecosystem service payments, Paper presented at the Economics and Conservation in the Tropics: A Strategic Dialogue. San Fran- cisco: Conservation Strategy Fund/ Moore Foundation /Resources for the Future.
Wyatt, T.J. (2002). Liquidity and Soil Management: Evidence from Madagascar and Niger.
In Barrett, C.B., Place, F. and Aboud, A.A. (Eds.), Natural Resources Management in African Agriculture: Understanding and Improving Current Practices. Oxon and New York: CABI Publishing, pp. 129-142.
Xiong, K. and Kong, F. (2017). The Analysis of Farmers’ Willingness to Accept and Its Influencing Factors for Ecological Compensation of Poyang Lake Wetland. Procedia Engineering 174: 835-842.
Xu, L., Yu, B. and Li, Y. (2015). Ecological compensation based on willingness to accept for conservation of drinking water sources. Frontiers of Environmental Science & Engineering 9(1): 58-65.
Yu, L.l. and Cai, Y.Y. (2015). Ecological compensation based on farmers’ willingness: A case study of Jingsan County in Hubei Province, China. The Journal of Applied Ecol- ogy 26(1): 215-223. University Staff: Request a correction | Centaur Editors: Update this record |