DOI QR코드

DOI QR Code

A Study on Greenhouse Farmers' Willingness to Pay of Agricultural Water Supply through Pipeline

관수로 농업용수 공급에 대한 시설재배 농가의 비용 지불의사 연구

  • Lim, Cheong-Ryong (Rural Research Institute Korea Rural Community Corporation) ;
  • Park, Seong-gyeong (Department of Food and Resource Economics Pusan National University) ;
  • Chung, Won-ho (Department of Food and Resource Economics Pusan National University)
  • Received : 2018.04.11
  • Accepted : 2018.05.28
  • Published : 2018.05.31

Abstract

In this study, we estimate the greenhouse farmers' willingness to pay of agricultural water supply through pipeline. First, in the questionnaire design, orthogonal design and block design were used to enhance the ease of survey. Second, the theoretical model was constructed through the setting of the probability utility function, and the parameters were estimated by using the conditional logit model. Third, all of the estimation coefficients were statistically significant at the 1% significance level. The results of analysis are summarized as follows. First, the probability of selection is increased when maintenance is carried out by Korea Rural Community Corporation or local government. Second, the probability of selection is increased when agricultural water supply through pipeline is higher than the current level. Third, if the Korea Rural Community Corporation carries out maintenance management, the marginal willingness to pay is 44 won per ton. And if the local government carries out maintenance management, the marginal willingness to pay is 25 won per ton. Fourth, according to the quality level of agricultural water supply, the marginal willingness to pay is 101 won, 114 won and 120 won per ton, respectively. This study can be used as a basic data on the cost setting for agricultural water supply through pipeline.

Keywords

References

  1. Lee, Y. J., Kim, K. W., Kang, D. S., Kim, Y. H., 2013, Optimal Design of Agricultural Irrigation Systems Considering System Reliability, Journal of the Korean Society of Hazard Mitigation, 13(6), 351-358. https://doi.org/10.9798/KOSHAM.2013.13.6.351
  2. Chung, G. h., Kim, Y. H., Jeon, G. Y., Kim, J. H., 2012, Determination of the Optimal Pipe Dimeter for Irrigation Network using Binary Integer Programming and Development of the Database for Design Standard, Journal of the Korean Society of Hazard Mitigation, 12(5), 225-231. https://doi.org/10.9798/KOSHAM.2012.12.5.225
  3. Kim, K. W., Lee, Y. J., Kang, D. S., Kim, Y. H., 2013, Improved Approach for Optimal Design of Agricultural Irrigation System, Journal of the Korean Society of Hazard Mitigation, 13(6), 359-365. https://doi.org/10.9798/KOSHAM.2013.13.6.359
  4. Jeong, D. H., Jin, Y. S., Park, K. H., 2006, Application of Benefit Transfer Method to Estimate the Willingness-to-pay in Planning the Construction of the Integrated Sewerage System at the Catchment Areas of Dams, Journal of Korean Society of Environment & Ecology, 28(1), 74-80.
  5. Bae. H. B., Kim, J. H., Lee, S. Y., 2013, A Study on the Presumption of Optimal Lease Prices for Multi Complex Center, Journal of Korea Real Estate Academy, 55, 101-114.
  6. Kim, H. J., Lim, S. Y., Yoo, S. H., 2016, The Non-Market Benefits of Expanding Organic Waste-to-Energy Facilities: A Choice Experiment Study, Korea Environmental Policy and Administration Society, 24(4), 103-119. https://doi.org/10.15301/jepa.2016.24.4.103
  7. Kim, Y. H., Yeo, U. S., Park, Y. J., Ko, G. D., 1997, A Study on Development of Design Technology in Pipeline System(I), Rural Research Institute Korea Rural Community Corporation.
  8. Adamowicz, W., Boxall, M., Williams, M., Louviere, J., 1998, Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation, American Journal of Agricultural Economics, 80, 64-75. https://doi.org/10.2307/3180269
  9. Lusk, J. L., Roosen, J., Fox, J. A., 2003, Demand for Beef from Cattle Administered Growth Hormones or Fed Genetically Modified Corn: A Comparison of Consumers in France, Germany, the United Kingdom, and the United States, American Journal of Agricultural Economics, 85, 16-29. https://doi.org/10.1111/1467-8276.00100
  10. Kim, T. K., Ji, H. S., Cho, J. H., 2008, An Analysis of Japanese Consumers' Preference on the JAS Certification, Korean Journal of Agricultural Management and Policy, 35(2), 288-302.
  11. Maddala, G. S., 1983, Limited-dependent and qualitative variables in econometrics, Cambridge University Press.
  12. Greene, W. H., 2008, Econometrics analysis, New Jersey: Prentice Hall Inc.