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An estimation of the willingness to pay for biodiesel: a pilot study of diesel consumers

Bio-based and Applied Economics

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Title An estimation of the willingness to pay for biodiesel: a pilot study of diesel consumers
 
Creator Sivashankar, Pathmanathan; Sabaragamuwa University of Sri Lanka
Weerahewa, Jeevika
Pushpakumara, Gamini
Galagedara, Lakshman
 
Subject Willingness to pay; Jatropha Biodiesel; Probit regression; diesel consumers
Q21; Q41; Q42
 
Description Sri Lanka’s energy policy presumes that the country will be meeting 20% of its energy requirements by non-conventional renewable energy resources by 2020. This study attempts to assess diesel vehicle owners’ willingness to pay (WTP) for Jatropha biodiesel and the factors affecting their decisions. The Contingent valuation method (CVM) was used to elicit the WTP for the non-marketed biodiesel, which leads to a hypothetical allocation. For diesel vehicle users, a single bid approach was used at Rs.121/= per litre (€ 0.83). The study was carried out in Kandy region among diesel vehicle users. The factors affecting WTP were estimated using probit regression and WTP was estimated using nonparametric estimation techniques. The mean WTP for biodiesel by the diesel vehicle users was Rs.109 per litre (€ 0.74) for lower bound levels. The median WTP was Rs.124/= per litre (€ 0.85). Elderly respondents with higher education are less likely to pay for biodiesel in both samples. Married respondents with higher income are more likely to pay higher prices for biodiesel.
 
Publisher Bio-based and Applied Economics
Bio-based and Applied Economics
 
Contributor Postgraduate Institute of Agriculture, University of Peradeniya
National Science Foundation of Sri Lanka
 
Date 2016-04-27
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://www.fupress.net/index.php/bae/article/view/15283
http://www.fupress.net/index.php/bae/article/download/15283/17031
10.13128/BAE-15283
 
Source Bio-based and Applied Economics; Vol 5, No 1 (2016); 27-45
Bio-based and Applied Economics; Vol 5, No 1 (2016); 27-45
2280-6172
2280-6180
 
Language eng
 
Relation 10.13128/BAE-15283
 
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