| Title |
Can money always talk? Implication for environmental compensation by international agribusiness |
| ID_Doc |
68391 |
| Authors |
Sun, J; Zhou, L; Lei, L |
| Title |
Can money always talk? Implication for environmental compensation by international agribusiness |
| Year |
2019 |
| Published |
|
| DOI |
10.1016/j.jclepro.2019.01.050 |
| Abstract |
With the development of agricultural industrialization, the environmental issues of intensive animal farming are attracting increasing attention. Using survey data from 313 Chinese households living near large-scale broiler farms of an international food company, this paper employs a contingent valuation method and discrete choice experiment to quantify the willingness to accept an air pollution compensation scheme. The findings are as following: (1)42% of respondents have a nonmonetary preference for compensation; thus, the conventional contingent valuation method is unsuitable for application to them. (2) The results of a sample selection model show that in addition to income, trust and subjective factors dominate decision-making based on willingness to accept; however, the effect of actual distance is weak. (3) The combination of nonmonetary options is feasible and beneficial for both the company and local residents in the long term. This paper distinguishes between the WTA with regard to monetary and nonmonetary ecological compensation measure (ECM). And it develops a methodological approach that allows the development of WTA-based monetary and non-monetary to establish compensation guidelines for international food companies. Our study focuses on a case study of a major foreign company, providing an example to other similar multi-national businesses for sustainable development strategy in developing countries. (C) 2019 Elsevier Ltd. All rights reserved. |
| Author Keywords |
Willingness to accept; Contingent valuation method; Choice experiment; Pollution; China |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000459358300086 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
https://ir.ide.go.jp/?action=repository_action_common_download&item_id=48861&item_no=1&attribute_id=22&file_no=1
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