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灌溉水强度与气候变化:对意大利地区农业作物的分析。

Irrigation water intensity and climate variability: an agricultural crops analysis of Italian regions.

机构信息

Department of Political Science and International Relations, University of Palermo, Via Maqueda, 324, Palermo, Italy.

Istat, Italian National Institute of Statistics, Environmental and Territorial Statistics Directorate, Via C. Balbo, 16, Rome, Italy.

出版信息

Environ Sci Pollut Res Int. 2021 Dec;28(45):63794-63814. doi: 10.1007/s11356-020-12136-6. Epub 2021 Jan 4.

DOI:10.1007/s11356-020-12136-6
PMID:33392989
Abstract

This paper examines the relationship between the requirement of water resources for irrigation and climate variability and analyses the ranking of the best and worst performance of irrigation water intensity for each Italian region. To measure water resources demanded by agriculture, the irrigation water intensity (IWI) indicator has been computed as the ratio between volumes of irrigation water and total crop harvested. By applying panel data methodologies to a regional dataset spanning from 2000 to 2009, we may address heterogeneity and omitted variable issues. By merging meteo-climatic with agricultural variables, we may confirm that water precipitations, maximum temperature, irrigation propensity indicator, and yields are the main and relevant determinants of the IWI indicator. Moreover, results confirm our expectations that regions belonging to South and Islands macro-areas seem the best performers in terms of irrigation water intensity. Also, our analysis reveals limited availability of information on water resource data and suggests strengthening the need for regularly collecting data and producing statistics to support in designing adequate tools for optimal policies.

摘要

本文探讨了灌溉水资源需求与气候变异性之间的关系,并对意大利各地区灌溉水强度的最佳和最差表现进行了排名分析。为了衡量农业所需的水资源,我们将灌溉水强度(IWI)指标定义为灌溉用水量与总作物收获量的比值。通过对 2000 年至 2009 年期间的区域数据集应用面板数据分析方法,我们可以解决异质性和遗漏变量问题。通过将气象气候变量与农业变量相融合,我们可以确认降水、最高温度、灌溉倾向指标和产量是 IWI 指标的主要和相关决定因素。此外,研究结果证实了我们的预期,即南部和岛屿大区的地区在灌溉水强度方面表现最佳。此外,我们的分析还揭示了水资源数据信息的有限可用性,并建议加强定期收集数据和编制统计数据的需求,以支持设计用于最优政策的适当工具。

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