Surface Water Price to Improve Caisim Farming Efficiency in Tabanan Regency, Indonesia
DOI:
https://doi.org/10.21776/ub.habitat.2024.035.3.30Keywords:
caisim, water price, water resource, farmingAbstract
Objective of this research is to analyze the price of surface water at the South Yeh Panan Dam in an effort to increase the efficiency of caisim farming in Tabanan Regency. Subak Bengkel is the largest subak in Kediri District, Tabanan Regency with an area of 329 Ha. In addition to planting rice, farmers in Subak Bengkel also plant other commodities, namely caisim with an average planting area of 40 Ha/season). The method used in research on surface water price analysis at the South Yeh Panan Dam in an effort to increase the efficiency of lowland caisim farming in Tabanan Regency is value of marginal product analysis. Data analysis with regression using the SPSS 22 software program, the regression coefficient value (b) will be obtained.i) of each input factor which also shows the magnitude of the elasticity value. The price of water in Subak Bengkel based on Value of Marginal Product (VMP) analysis is IDR. 1,438,164.62/ha/season or IDR 30,402.80/m3/season. This price is a contribution given by water resources to the production of caisim farming in Subak Bengkel so that farmers need to utilize water resources that have been given free by nature efficiently and wisely. Farmers are expected to utilize water resources that have been given freely by nature efficiently and wisely.
References
Chakravorty, U, Dar, M H. & Emerick, K.(2019). Inefficient Water Pricing and Incentives for Conservation. American Economic Journal: Applied Economics. 15 (1): 319–50. https://doi.org/10.1257/app.20210011
Christoforidou, M., Borghuis, G., Seijger, C., van Halsema, G. E., & Hellegers, P. (2023). Food security under water scarcity: a comparative analysis of Egypt and Jordan. Food Security, 15(1), 171–185. https://doi.org/10.1007/s12571-022-01310-y
Darmawan, D. P., Arisena, G. M. K., Djelantik, A. A. A. W. S., Krisnandika, A. A. K., Utari, N. K. S., & Korri, N. T. L. (2023). Farmers’ Independence Level in the Urban Area of Subak Sembung Denpasar City, Bali Province, Indonesia. Journal of Agricultural Sciences - Sri Lanka, 18(1), 40–54. https://doi.org/10.4038/jas.v18i1.10097
Drupp, M. A., & Hänsel, M. C. (2021). Relative Prices and Climate Policy: How the Scarcity of Nonmarket Goods Drives Policy Evaluation. American Economic Journal: Economic Policy, 13(1), 168–201. https://doi.org/10.1257/pol.20180760
Elkamel, M., Valencia, A., Zhang, W., Zheng, Q. P., & Chang, N. Bin. (2023). Multi-agent modeling for linking a green transportation system with an urban agriculture network in a food-energy-water nexus. Sustainable Cities and Society, 89, 1–54. https://doi.org/10.1016/j.scs.2022.104354
Grafton, R. Q., Manero, A., Chu, L., & Wyrwoll, P. (2023). The Price and Value of Water: An Economic Review. Cambridge Prisms: Water, 1–39. https://doi.org/10.1017/wat.2023.2
Graham, N. T., Iyer, G., Wild, T. B., Dolan, F., Lamontagne, J., & Calvin, K. (2023). Agricultural market integration preserves future global water resources. One Earth, 6(9), 1235–1245. https://doi.org/10.1016/j.oneear.2023.08.003
He, W., Zhang, K., Kong, Y., Yuan, L., Peng, Q., Mulugeta Degefu, D., Stephen Ramsey, T., & Meng, X. (2023). Reduction pathways identification of agricultural water pollution in Hubei Province, China. Ecological Indicators, 153(May), 110464. https://doi.org/10.1016/j.ecolind.2023.110464
Hejazi, M., Santos Da Silva, S. R., Miralles-Wilhelm, F., Kim, S., Kyle, P., Liu, Y., Vernon, C., Delgado, A., Edmonds, J., & Clarke, L. (2023). Impacts of water scarcity on agricultural production and electricity generation in the Middle East and North Africa. Frontiers in Environmental Science, 11, 1–16. https://doi.org/10.3389/fenvs.2023.1082930
Klassert, C., Yoon, J., Sigel, K., Klauer, B., Talozi, S., Lachaut, T., Selby, P., Knox, S., Avisse, N., Tilmant, A., Harou, J. J., Mustafa, D., Medellín-Azuara, J., Bataineh, B., Zhang, H., Gawel, E., & Gorelick, S. M. (2023). Unexpected growth of an illegal water market. Nature Sustainability, 6(11), 1406–1417. https://doi.org/10.1038/s41893-023-01177-7
Kucher, A., Krupin, V., Rudenko, D., Kucher, L., Serbov, M., & Gradziuk, P. (2023). Sustainable and Efficient Water Management for Resilient Regional Development: The Case of Ukraine. Agriculture (Switzerland), 13(7). https://doi.org/10.3390/agriculture13071367
Lall, U. Josset, L.& Russo, T(2020). A Snapshot of the World's Groundwater Challenges. Annual Review of Environment and Resources. 45:171-194. https://doi.org/10.1146/annurev-environ-102017-025800
Lord, S. (2020). SPIQ-FS Dataset Estimation of marginal damage costs from water scarcity due to blue water withdrawal. Documentation of the SPIQ-FS Dataset Version 0. Environmental Change Institute, University of Oxford.
Martínez-Dalmau, J., Gutiérrez-Martín, C., Expósito, A., & Berbel, J. (2023). Analysis of Water Pricing Policy Effects in a Mediterranean Basin Through a Hydroeconomic Model. Water Resources Management, 37(4), 1599–1618. https://doi.org/10.1007/s11269-023-03446-8
Marzano, R., Rougé, C., Garrone, P., Grilli, L., Harou, J. J., & Pulido-Velazquez, M. (2018). Determinants of the price response to residential water tariffs: Meta-analysis and beyond. Environmental Modelling and Software, 101, 236–248. https://doi.org/10.1016/j.envsoft.2017.12.017
Nouri, M., Homaee, M., Pereira, L. S., & Bybordi, M. (2023). Water management dilemma in the agricultural sector of Iran: A review focusing on water governance. Agricultural Water Management, 288,108480. https://doi.org/10.1016/j.agwat.2023.108480
Odorico, P. D., Danilo, D., Rosa, L., Bini, A., & Zilberman, D. (2020). The global value of water in agriculture. 117(36), 21985–21993. https://doi.org/10.1073/pnas.2005835117
Paramarta, P.M.D.A., Widhianthini, & Djelantik, A.A.A.W.S. (2020). Analisis Harga Air Permukaan Untuk Usahatani Padi Sawah Di Subak Bengkel, Kediri, Tabanan. 8(1), 53–60. https://doi.org/10.24843/JMA.2020.v08.i01.p05.
Salehi, M. (2022). Global water shortage and potable water safety; Today’s concern and tomorrow’s crisis. Environment International, 158, 106936. https://doi.org/10.1016/j.envint.2021.106936
Smith, S. M. (2022). The Relative Economic Merits of Alternative Water Right Systems. Evolution and Optimization, 11–16. https://doi.org/10.1515/9783112568620-002
Suamba, I. K., Sumiyati, Krisnandika, A. A. K., Tika, I. W., Sulastri, N. N., & Arisena, G. M. K. (2023). the Subak-Based Agro-Tourism Management Model in the World Cultural Heritage Area of Catur Angga Batukaru Tabanan Regency, Bali Province, Indonesia. African Journal of Food, Agriculture, Nutrition and Development, 23(2), 22534–22547. https://doi.org/10.18697/ajfand.117.21970
Tauro, E., Mirra, L., Russo, S., Valentino, G., Carone, D., & Giannoccaro, G. (2024). Economic analysis of irrigation services. An application of the hedonic price method on the FADN data. Rivista Di Economia Agraria, 1–19. https://doi.org/10.36253/rea-14361
Tsur, Y. (2020). Optimal water pricing: Accounting for environmental externalities. Ecological Economics, 170, 106429. https://doi.org/10.1016/j.ecolecon.2019.106429
Uddin, M. G., Nash, S., & Olbert, A. I. (2021). A review of water quality index models and their use for assessing surface water quality. Ecological Indicators, 122, 107218. https://doi.org/10.1016/j.ecolind.2020.107218
Uddin, M. G., Nash, S., Rahman, A., & Olbert, A. I. (2022). A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment. Water Research, 219(January), 118532. https://doi.org/10.1016/j.watres.2022.118532
Uddin, M. G., Nash, S., Rahman, A., & Olbert, A. I. (2023). Performance analysis of the water quality index model for predicting water state using machine learning techniques. Process Safety and Environmental Protection, 169(November 2022), 808–828. https://doi.org/10.1016/j.psep.2022.11.073
Wang, C., Chen, Y., Sun, M., & Wu, J. (2023). Potential of technological innovation to reduce the carbon footprint of urban facility agriculture: A food–energy–water–waste nexus perspective. Journal of Environmental Management, 339(April). https://doi.org/10.1016/j.jenvman.2023.117806
Wutich, A., Brewis, A., & Tsai, A. (2020). Water and mental health. Wiley Interdisciplinary Reviews: Water, 7(5), 1–16. https://doi.org/10.1002/wat2.1461
Zhang, C. Y., & Oki, T. (2023). Water pricing reform for sustainable water resources management in China’s agricultural sector. Agricultural Water Management, 275, 108045. https://doi.org/10.1016/j.agwat.2022.108045
Zhang, S., Kang, Y., Gao, X., Chen, P., Cheng, X., Song, S., & Li, L. (2023). Optimal reservoir operation and risk analysis of agriculture water supply considering encounter uncertainty of precipitation in irrigation area and runoff from upstream. Agricultural Water Management, 277, 108091. https://doi.org/10.1016/j.agwat.2022.108091
Zhang, Z., Wang, Q., Guan, Q., Xiao, X., Mi, J., & Lv, S. (2023). Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization. Agricultural Water Management, 279(January), 108177. https://doi.org/10.1016/j.agwat.2023.108177
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