Valuing irrigation water using a choice experiment: an ‘individual status quo’ modelling of farm specific water scarcity

Author:

BARTON DAVID N.,BERGLAND OLVAR

Abstract

ABSTRACTWe use a choice experiment to evaluate a hypothetical irrigation water pricing regime in Karnataka State, India. The proposed regime includes increasing the availability of water in the dry season, increasing irrigation frequency, water sharing with downstream water users, set against the introduction of a semi-volumetric irrigation price. The majority of farmers chose the status quo (SQ) option. Given the large heterogeneity in farmers’ SQ water availability, irrigation practices and current water tax payments, the SQ could not be given a unique baseline interpretation. This poses a potential problem for choice model estimation. By coding the individual SQ situation of farmers, we observed considerable increase in the explanatory power of the choice experiment models. The results may be of general interest for choice experiments of environmental goods and services with heterogeneous spatial distribution, heterogeneous respondents and/or contentious policies that are expected to elicit considerable SQ response.

Publisher

Cambridge University Press (CUP)

Subject

Economics and Econometrics,General Environmental Science,Development

Reference37 articles.

1. Bateman I.J. , Brouwer R. , Ferrini S. , Schaafsma M. , Barton D.N. , Binner A. , Day B.H. , Dubgaard A. , Fezzi C. , Hasler B. , Hime S. , Liekens I. , Navrud S. , De Nocker L. , Ščeponavičiūtė R. , and Semėnienė D. (2009), ‘Making benefit transfers work: transferring theoretically derived, spatially explicit, value functions for the non-market benefits of water quality improvements across Europe’, Paper presented at the 17th EAERE Annual Conference, 24–27 June, Amsterdam.

2. On Approximating the Statistical Properties of Elasticities: A Correction

3. Discrete Choice Methods with Simulation

4. Estimation of multinomial logit models with unobserved heterogeneity using maximum simulated likelihood;Haan;The Stata Journal,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3