This study was designed to measure farmers’ willingness to pay for walking tractor rental service. Specifically, this study addresses how much they are willing to pay and what factors hinder farmers' WTP for walking tractor technology. Accordingly, CVM questionnaire was designed and face-to-face interviews were made to collect the data. One and one-half bounded contingent valuation format followed by an open-ended question was applied to elicit farmers' WTP for walking tractor rental service. For this study, a multi-stage sampling technique was applied to select representative samples. Finally, primary data were collected from 197 randomly selected sample respondents. The collected data were analyzed using descriptive statistics, and Tobit econometric model. About 80.53% of the sampled farmers were willing to pay for walking tractor rental service. The CV survey revealed that the mean WTP of smallholder farmers for walking tractor rental service was 718.50 ETB per timad. Moreover, the model result indicated that land size, suitability of the land, annual income, model farmers, and training had positive and statistically significant effect on WTP of smallholder farmers for walking tractor rental service. However, age had a significant and negative effect on WTP of smallholder farmers. The findings imply that researchers, policymakers as well as zone and woreda agriculture office and development workers should consider age, land size, suitability of the land, annual income, model farmers, and training variables to provide walking tractor service.
Published in | International Journal of Economic Behavior and Organization (Volume 10, Issue 2) |
DOI | 10.11648/j.ijebo.20221002.11 |
Page(s) | 29-40 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
One-and-One-Half Bounded Elicitation Contingent Valuation, Tobit, Walking Tractor, Willingnessto Pay
[1] | Abera. (2009). Achievements and challenges in Ethiopian Agriculture. Proceedings of Dialogue on Ethiopian Agricultural Development. UN conference center, Addis Ababa Ethiopia. |
[2] | Alberini, A., and Cooper, J. (2000). Applications of the contingent valuation method in developing countries: A survey (Vol. 146): Food & Agriculture Org. |
[3] | BIS. (2002). Power tiller test code. Indian Standards Institutions, New Delhi, India. |
[4] | Burke, W. J. (2009). Fitting and interpreting Cragg's tobit alternative using Stata. The Stata Journal, 9 (4), 584-592. |
[5] | Cooper, J. C., Hanemann, M., and Signorello, G. (2002). One-and-one-half-bound dichotomous choice contingent valuation. Review of Economics and Statistics, 84 (4), 742-750. |
[6] | CSA. (2011). Area and Production of Major Crops. |
[7] | CSA. (2015). Population and housing census report. |
[8] | Ethiopian, E. (2011). Ethiopia’s Climate-Resilient Green Economy (CRGE). Federal Democratic Republic of Ethiopia, Addis Ababa, Ethiopia, 188. |
[9] | Ezebilo, E. (2013). Willingness to pay for improved residential waste management in a developing country. International Journal of Environmental Science and Technology, 10 (3), 413-422. |
[10] | Gebremariam, G. G. (2012). HOUSEHOLDS’WILLINGNESS TO PAY FOR SOIL CONSERVATION PRACTICES IN ADWA WOREDA, ETHIOPIA: A CONTINGENT VALUATION STUDY. |
[11] | Hailu, B. K., Abrha, B. K., and Weldegiorgis, K. A. (2014). Adoption and impact of agricultural technologies on farm income: Evidence from Southern Tigray, Northern Ethiopia. International Journal of Food and Agricultural Economics (IJFAEC), 2 (1128-2016-92058), 91-106. |
[12] | Hanemann, W. M. (1984). Welfare evaluations in contingent valuation experiments with discrete responses. American journal of agricultural economics, 66 (3), 332-341. |
[13] | Hoyos, D., and Mariel, P. (2010). Contingent valuation: Past, present and future. Prague economic papers, 4 (2010), 329-343. |
[14] | Jantzen, J. (2006). The Economic value of natural and environmental resources. Institute for Applied Environmental Economics, Nedherland. |
[15] | Jones, N., Evangelinos, K., Halvadakis, C. P., Iosifides, T., and Sophoulis, C. M. (2010). Social factors influencing perceptions and willingness to pay for a market-based policy aiming on solid waste management. Resources, Conservation and Recycling, 54 (9), 533-540. |
[16] | Kasaye, B. (2015). Farmers willingness to pay for improved soil conservation practices on communal lands in Ethiopia. Addis Ababa: Addis Ababa University. |
[17] | Kathirvel, K., Job, T., and Manian, R. (2000). Development and evaluation of power tiller-operated ladder. AMA, Agricultural Mechanization in Asia, Africa and Latin America, 31 (1), 22-26. |
[18] | Lopez-Feldman, A. (2012). Introduction to contingent valuation using Stata. |
[19] | Melese. (2017). Conservation of tillage systems and water conservation productivity. Implication of small holder farmers in Semi-Arid Ethiopia. |
[20] | Moyo, S. (2016). Family farming in sub-Saharan Africa: its contribution to agriculture, food security and rural development: Working paper. |
[21] | Mulat, S., Worku, W., and Minyihun, A. (2019). Willingness to pay for improved solid waste management and associated factors among households in Injibara town, Northwest Ethiopia. BMC research notes, 12 (1), 1-6. |
[22] | Oduma, O., and Oluka, S. I. (2019). Effect of soil type on power and energy requirements of some selected agricultural field machinery in south-east Nigeria. Poljoprivredna tehnika, 44 (3), 69-77. |
[23] | Rasouli, F., Sadighi, H., and Minaei, S. (2009). Factors affecting agricultural mechanization: A case study on sunflower seed farms in Iran. |
[24] | Sims, B., and Kienzle, J. (2006). Farm power and mechanization for small farmers in sub-Saharan Africa. |
[25] | Stewart, J. (2009). Tobit or not Tobit. U.S. Bureau of Labor Statistics. |
[26] | Tamrat, G. (2016). Prospects and challenges of agricultural mechanization in Oromia regional state-Ethiopia, policy perspectives. American Journal of Agriculture and Forestry, 5 (4), 9. |
[27] | Wilson, C., and Tisdell, C. A. (2002). OLS and Tobit estimates: When is substitution defensible operationally? |
[28] | Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data: MIT press. |
APA Style
Workineh Yenewa, Tsegaye Molla. (2022). Farmers’ Willingness to Pay for Walking Tractor Rental Service in Northwestern Ethiopia. International Journal of Economic Behavior and Organization, 10(2), 29-40. https://doi.org/10.11648/j.ijebo.20221002.11
ACS Style
Workineh Yenewa; Tsegaye Molla. Farmers’ Willingness to Pay for Walking Tractor Rental Service in Northwestern Ethiopia. Int. J. Econ. Behav. Organ. 2022, 10(2), 29-40. doi: 10.11648/j.ijebo.20221002.11
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TY - JOUR T1 - Farmers’ Willingness to Pay for Walking Tractor Rental Service in Northwestern Ethiopia AU - Workineh Yenewa AU - Tsegaye Molla Y1 - 2022/04/14 PY - 2022 N1 - https://doi.org/10.11648/j.ijebo.20221002.11 DO - 10.11648/j.ijebo.20221002.11 T2 - International Journal of Economic Behavior and Organization JF - International Journal of Economic Behavior and Organization JO - International Journal of Economic Behavior and Organization SP - 29 EP - 40 PB - Science Publishing Group SN - 2328-7616 UR - https://doi.org/10.11648/j.ijebo.20221002.11 AB - This study was designed to measure farmers’ willingness to pay for walking tractor rental service. Specifically, this study addresses how much they are willing to pay and what factors hinder farmers' WTP for walking tractor technology. Accordingly, CVM questionnaire was designed and face-to-face interviews were made to collect the data. One and one-half bounded contingent valuation format followed by an open-ended question was applied to elicit farmers' WTP for walking tractor rental service. For this study, a multi-stage sampling technique was applied to select representative samples. Finally, primary data were collected from 197 randomly selected sample respondents. The collected data were analyzed using descriptive statistics, and Tobit econometric model. About 80.53% of the sampled farmers were willing to pay for walking tractor rental service. The CV survey revealed that the mean WTP of smallholder farmers for walking tractor rental service was 718.50 ETB per timad. Moreover, the model result indicated that land size, suitability of the land, annual income, model farmers, and training had positive and statistically significant effect on WTP of smallholder farmers for walking tractor rental service. However, age had a significant and negative effect on WTP of smallholder farmers. The findings imply that researchers, policymakers as well as zone and woreda agriculture office and development workers should consider age, land size, suitability of the land, annual income, model farmers, and training variables to provide walking tractor service. VL - 10 IS - 2 ER -