Pricing Industrial Discharge Quota (IDQ): A Model Reflecting Opportunity Cost of Performing Ecological Responsibility

Tengda Lu, Xieer Dai, Jun Chen and Ming Dai
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Tengda Lu: College of Economics, Jinan University, Guangzhou 510632, China
Xieer Dai: Department of Economics, Hebrew University, Jerusalem 97665, Israel
Jun Chen: College of Economics, Jinan University, Guangzhou 510632, China
Ming Dai: College of Economics, Jinan University, Guangzhou 510632, China

Sustainability, 2018, vol. 10, issue 6, 1-20

Abstract: The upper reaches of a river system are often trapped in the dilemma of choosing between industrial development and headwater protection. One of the solutions is eco-compensation, which, however, is a public-fiscal arrangement lacking inspiration and sustainability. Instead, industrial discharge quota (IDQ) was put forward as a marketized approach: the maximum industrial discharge a river can afford is allocated as quotas and quotas are allowed to be traded. However, what pricing principle in the primary market can IDQ price refer to? How can enough incentives be given to local governments when they are reluctant to implement emission reduction policy? Given that some previous studies have proven the influence of fiscal income and reputation on governments’ incentives, this paper introduces these into our model as main factors. Through analysis, two models—government model and enterprise model—are formulated based on opportunity cost theory to deal with this problem. The first sets basic prices and the latter notifies enterprises’ behaviors. Then, this paper applies our first model to a sample region, Fogang County in Pearl River Basin. The results demonstrate that the upstream can obtain adequate compensation for their opportunity loss and local governments can be with strong motivation by our method.

Keywords: ecological responsibility; marketized solution; industrial discharge quota (IDQ); opportunity cost; watershed area (river basin); governments’ motivation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
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