IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v295y2024ics0378377424000921.html
   My bibliography  Save this article

Irrigation water economic value and productivity: An econometric estimation for maize grain production in Italy

Author

Listed:
  • Buttinelli, Rebecca
  • Cortignani, Raffaele
  • Caracciolo, Francesco

Abstract

Climate change, characterized by rising temperatures and limited precipitation, has intensified the demand for irrigation water while simultaneously restricting its availability. This challenge poses significant risks to agricultural and food production, particularly in the Mediterranean regions where, recently, water deficits have led to substantial production losses and quality issues. Water is a critical determinant of crops' economic viability, especially for water-intensive crops, making it essential to estimate its economic relevance, especially in the absence of reliable water market prices. This study has two primary objectives: first, to evaluate the shadow price of irrigation water for maize grain at the farm level, which is defined as the value generated by the marginal unit of water consumed; and second, to analyse its heterogeneity. Leveraging a Farm Accountancy Data Network (FADN) panel of 1625 Italian farms over a decade (2010–2020), an econometric production function approach is employed. Moreover, quantile regressions reveal variations in the shadow price linked to geographical, managerial, and structural farm characteristics. Our findings underscore water’s key role in economically viable maize grain production, significantly enhancing the productivity of other inputs like fertilizers and pesticides. The average shadow price is 0.29 €/m³, with a median of 0.20 €/m³ and water total productivity accounts for one-third of maize’s average gross output. Quantile regressions uncover how factors like geographic location, altitude, farm management, irrigation water source, and farm size influence the distribution of water productivity, reflecting either efficient use or scarcity of this resource. Our estimation provides valuable insights for policymakers by offering accurate shadow price estimates for irrigation water in Italian maize grain production. Furthermore, it enhances our understanding of irrigation water’s role in the economic viability of this crop, while contributing to support evidence-based water management strategies, identifying vulnerable areas and farms and allowing for future methodological developments.

Suggested Citation

  • Buttinelli, Rebecca & Cortignani, Raffaele & Caracciolo, Francesco, 2024. "Irrigation water economic value and productivity: An econometric estimation for maize grain production in Italy," Agricultural Water Management, Elsevier, vol. 295(C).
  • Handle: RePEc:eee:agiwat:v:295:y:2024:i:c:s0378377424000921
    DOI: 10.1016/j.agwat.2024.108757
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424000921
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2024.108757?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nina Pavcnik, 2002. "Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 245-276.
    2. Javier Calatrava & Alberto Garrido, 2005. "Modelling water markets under uncertain water supply," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(2), pages 119-142, June.
    3. Ziolkowska, Jadwiga R., 2015. "Shadow price of water for irrigation—A case of the High Plains," Agricultural Water Management, Elsevier, vol. 153(C), pages 20-31.
    4. Riera, Félix Sebastián & Brümmer, Bernhard, 2022. "Environmental efficiency of wine grape production in Mendoza, Argentina," Agricultural Water Management, Elsevier, vol. 262(C).
    5. Speelman, Stijn & D'Haese, Marijke & Buysse, Jeroen & D'Haese, Luc, 2008. "A measure for the efficiency of water use and its determinants, a case study of small-scale irrigation schemes in North-West Province, South Africa," Agricultural Systems, Elsevier, vol. 98(1), pages 31-39, July.
    6. Li Jiang & Feng Wu & Yu Liu & Xiangzheng Deng, 2014. "Modeling the Impacts of Urbanization and Industrial Transformation on Water Resources in China: An Integrated Hydro-Economic CGE Analysis," Sustainability, MDPI, vol. 6(11), pages 1-15, October.
    7. Tim Coelli & Sergio Perelman & Elliot Romano, 1999. "Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines," Journal of Productivity Analysis, Springer, vol. 11(3), pages 251-273, June.
    8. Dan Rigby & Francisco Alcon & Michael Burton, 2010. "Supply uncertainty and the economic value of irrigation water," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(1), pages 97-117, March.
    9. Rodney B. W. Smith & Harumi Nelson & Terry L. Roe, 2015. "Groundwater and Economic Dynamics, Shadow Rents and Shadow Prices: The Punjab," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 1(03), pages 1-31.
    10. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    11. Gadanakis, Yiorgos & Bennett, Richard & Park, Julian & Areal, Francisco Jose, 2015. "Improving productivity and water use efficiency: A case study of farms in England," Agricultural Water Management, Elsevier, vol. 160(C), pages 22-32.
    12. Wreford, Anita & Topp, Cairistiona F.E., 2020. "Impacts of climate change on livestock and possible adaptations: A case study of the United Kingdom," Agricultural Systems, Elsevier, vol. 178(C).
    13. Rosegrant, M. W. & Ringler, C. & McKinney, D. C. & Cai, X. & Keller, A. & Donoso, G., 2000. "Integrated economic-hydrologic water modeling at the basin scale: the Maipo river basin," Agricultural Economics, Blackwell, vol. 24(1), pages 33-46, December.
    14. Weerahewa, Jeevika & Dayananda, Dasuni, 2023. "Land use changes and economic effects of alternative fertilizer policies: A simulation analysis with a bio-economic model for a Tank Village of Sri Lanka," Agricultural Systems, Elsevier, vol. 205(C).
    15. J. Elnaboulsi, 2001. "Nonlinear Pricing and Capacity Planning for Water and Wastewater Services," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 15(1), pages 55-69, February.
    16. Xiuli Liu & Xikang Chen & Shouyang Wang, 2009. "Evaluating and Predicting Shadow Prices of Water Resources in China and Its Nine Major River Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1467-1478, June.
    17. Julio Berbel & M. Mesa-Jurado & Juan Pistón, 2011. "Value of Irrigation Water in Guadalquivir Basin (Spain) by Residual Value Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1565-1579, April.
    18. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    19. Shen, Xiaobo & Lin, Boqiang, 2017. "The shadow prices and demand elasticities of agricultural water in China: A StoNED-based analysis," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 21-28.
    20. Paolo D’Odorico & Davide Danilo Chiarelli & Lorenzo Rosa & Alfredo Bini & David Zilberman & Maria Cristina Rulli, 2020. "The global value of water in agriculture," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(36), pages 21985-21993, September.
    21. Galioto, Francesco & Guerra, Elisa & Raggi, Meri & Viaggi, Davide, 2017. "The impact of new regulations on water pricing in the agricultural sector: a case study from Northern Italy," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 2).
    22. Li, Guifang & Shi, Minjun & Zhou, Dingyang, 2021. "How much will farmers be compensated for water reallocation from agricultural water to the local ecological sector on the edge of an oasis in the Heihe River Basin?," Agricultural Water Management, Elsevier, vol. 249(C).
    23. Sapino, Francesco & Pérez-Blanco, C. Dionisio & Gutiérrez-Martín, Carlos & García-Prats, Alberto & Pulido-Velazquez, Manuel, 2022. "Influence of crop-water production functions on the expected performance of water pricing policies in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 259(C).
    24. Federico García Suárez & Lilyan E Fulginiti & Richard K Perrin, 2019. "What Is the Use Value of Irrigation Water from the High Plains Aquifer?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 455-466.
    25. Richard Damania, 2020. "The economics of water scarcity and variability," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(1), pages 24-44.
    26. Jing He & Xikang Chen & Yong Shi & Aihua Li, 2007. "Dynamic Computable General Equilibrium Model and Sensitivity Analysis for Shadow Price of Water Resource in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1517-1533, September.
    27. Chenyao Yang & Helder Fraga & Wim Ieperen & Henrique Trindade & João A. Santos, 2019. "Effects of climate change and adaptation options on winter wheat yield under rainfed Mediterranean conditions in southern Portugal," Climatic Change, Springer, vol. 154(1), pages 159-178, May.
    28. Ellen M. Bruno & Katrina Jessoe, 2021. "Using Price Elasticities of Water Demand to Inform Policy," Annual Review of Resource Economics, Annual Reviews, vol. 13(1), pages 427-441, October.
    29. Hellegers, Petra & Davidson, Brian, 2010. "Determining the disaggregated economic value of irrigation water in the Musi sub-basin in India," Agricultural Water Management, Elsevier, vol. 97(6), pages 933-938, June.
    30. Minjun Shi & Xiaojun Wang & Hong Yang & Tao Wang, 2014. "Pricing or Quota? A Solution to Water Scarcity in Oasis Regions in China: A Case Study in the Heihe River Basin," Sustainability, MDPI, vol. 6(11), pages 1-20, October.
    31. Sanzidur Rahman & Aree Wiboonpongse & Songsak Sriboonchitta & Yaovarate Chaovanapoonphol, 2009. "Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 419-435, June.
    32. Cortignani, Raffaele & Dell’Unto, Davide & Dono, Gabriele, 2018. "Recovering the costs of irrigation water with different pricing methods: Insights from a Mediterranean case study," Agricultural Water Management, Elsevier, vol. 199(C), pages 148-156.
    33. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    34. Olaf Erenstein & Moti Jaleta & Kai Sonder & Khondoker Mottaleb & B.M. Prasanna, 2022. "Global maize production, consumption and trade: trends and R&D implications," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1295-1319, October.
    35. Aldaya, Maite M. & Gutiérrez-Martín, Carlos & Espinosa-Tasón, Jaime & Ederra, Idoia & Sánchez, Mercedes, 2023. "The impact of the territorial gradient and the irrigation water price on agricultural production along the first phase of the Navarra Canal in Spain," Agricultural Water Management, Elsevier, vol. 281(C).
    36. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    37. Bopp, Carlos & Jara-Rojas, Roberto & Bravo-Ureta, Boris & Engler, Alejandra, 2022. "Irrigation water use, shadow values and productivity: Evidence from stochastic production frontiers in vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    38. Xiuli Liu & Xikang Chen, 2008. "Methods for Approximating the Shadow Price of Water in China," Economic Systems Research, Taylor & Francis Journals, vol. 20(2), pages 173-185.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martín Alfredo Legarreta-González & César A. Meza-Herrera & Rafael Rodríguez-Martínez & Darithsa Loya-González & Carlos Servando Chávez-Tiznado & Viridiana Contreras-Villarreal & Francisco Gerardo Vél, 2024. "Selecting a Time-Series Model to Predict Drinking Water Extraction in a Semi-Arid Region in Chihuahua, Mexico," Sustainability, MDPI, vol. 16(22), pages 1-22, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jose Asturias & Sewon Hur & Timothy J. Kehoe & Kim J. Ruhl, 2023. "Firm Entry and Exit and Aggregate Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 48-105, January.
    2. Bricongne, Jean-Charles & Delpeuch, Samuel & Lopez-Forero, Margarita, 2023. "Productivity slowdown and tax havens: Where is measured value creation?," Journal of International Economics, Elsevier, vol. 143(C).
    3. Yang Yang, 2018. "Transport Infrastructure, City Productivity Growth and Sectoral Reallocation: Evidence from China," IMF Working Papers 2018/276, International Monetary Fund.
    4. Pavel Chakraborty & Rahul Singh, 2021. "Technical Barriers to Trade and the Performance of Indian Exporters," Working Papers DP-2021-26, Economic Research Institute for ASEAN and East Asia (ERIA).
    5. Jan De Loecker & Pinelopi K. Goldberg & Amit K. Khandelwal & Nina Pavcnik, 2016. "Prices, Markups, and Trade Reform," Econometrica, Econometric Society, vol. 84, pages 445-510, March.
    6. Karol Fernández Delgado, . "Assessing the impact of foreign ownership on firm performance by size: evidence from firms in developed and developing countries," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    7. Florin Maican & Matilda Orth, 2017. "Productivity Dynamics and the Role of ‘Big-Box’ Entrants in Retailing," Journal of Industrial Economics, Wiley Blackwell, vol. 65(2), pages 397-438, June.
    8. Jean-Charles Bricongne & Samuel Delpeuch & Margarita Lopez Forero, 2021. "Productivity Slowdown, Tax Havens and MNEs’ Intangibles: where is measured value creation?," Documents de recherche 21-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    9. Yılmaz Kılıçaslan & Robin C. Sickles & Aliye Atay Kayış & Yeşim Üçdoğruk Gürel, 2017. "Impact of ICT on the productivity of the firm: evidence from Turkish manufacturing," Journal of Productivity Analysis, Springer, vol. 47(3), pages 277-289, June.
    10. Kasahara, Hiroyuki & Liang, Yawen & Rodrigue, Joel, 2016. "Does importing intermediates increase the demand for skilled workers? Plant-level evidence from Indonesia," Journal of International Economics, Elsevier, vol. 102(C), pages 242-261.
    11. Carol Newman & John Rand & Finn Tarp, 2016. "Imports, supply chains, and firm productivity," Working Paper Series UNU-WIDER Working Paper w, World Institute for Development Economic Research (UNU-WIDER).
    12. Alcon, Francisco & Zabala, José A. & Martínez-García, Victor & Albaladejo, José A. & López-Becerra, Erasmo I. & de-Miguel, María D. & Martínez-Paz, José M., 2022. "The social wellbeing of irrigation water. A demand-side integrated valuation in a Mediterranean agroecosystem," Agricultural Water Management, Elsevier, vol. 262(C).
    13. Jaramillo, Fernando & Giraldo, Iader & Echavarría, Juan José, 2019. "Protección y productividad en la industria colombiana, 1993-2011," Working papers 12, Red Investigadores de Economía.
    14. Jean-Charles Bricongne & Samuel Delpeuch & Margarita Lopez Forero, 2021. "Regional Productivity Slowdown, Tax Havens and MNEs’ Intangibles: where is Measured Value Creation?," Working papers 835, Banque de France.
    15. Norman Gemmell & Richard Kneller & Danny McGowan & Ismael Sanz & José F. Sanz‐Sanz, 2018. "Corporate Taxation and Productivity Catch‐Up: Evidence from European Firms," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(2), pages 372-399, April.
    16. Gabriella Berloffa & Eleonora Matteazzi & Alina Şandor & Paola Villa, 2019. "The quality of employment in the early labour market experience of young Europeans," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 43(6), pages 1549-1575.
    17. Tomlin, Ben, 2014. "Exchange rate fluctuations, plant turnover and productivity," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 12-28.
    18. Amil Petrin & James Levinsohn, 2005. "Measuring Aggregate Productivity Growth Using Plant-Level Data," NBER Working Papers 11887, National Bureau of Economic Research, Inc.
    19. Linarello, Andrea, 2018. "Direct and indirect effects of trade liberalization: Evidence from Chile," Journal of Development Economics, Elsevier, vol. 134(C), pages 160-175.
    20. Marco Bee & Maria Michela Dickson & Flavio Santi, 2018. "Likelihood-based risk estimation for variance-gamma models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 69-89, March.

    More about this item

    Keywords

    Irrigation water; FADN data; Maize; Production function; Shadow price;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:295:y:2024:i:c:s0378377424000921. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.