Values of blockchain for risk-averse high-tech manufacturers under government’s carbon target environmental taxation policies

Choi, Tsan-Ming ORCID: 0000-0003-3865-7043 (2022) Values of blockchain for risk-averse high-tech manufacturers under government’s carbon target environmental taxation policies. Annals of Operations Research. pp. 1-24.

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Official URL: http://dx.doi.org/10.1007/s10479-022-05030-6

Abstract

Today, high-tech industries such as consumer electronics commonly face government rules on carbon emissions. Among the rules, carbon emission tax as well as extended producer responsibility (EPR) tax are two important measures. Using blockchain, the policy makers can better determine the carbon target environmental taxation (CTET) policy with accurate information. In this paper, based on the mean-variance framework, we study the values of blockchain for risk-averse high-tech manufacturers who are under the government's CTET policy. To be specific, the government first determines the optimal CTET policy. The high-tech manufacturer then reacts and determines its optimal production quantity. We analytically prove that the CTET policy simply relies on the setting of the optimal EPR tax. Then, in the absence of blockchain, we consider the case in which the government does not know the manufacturer's degree of risk aversion for sure and then derive the expected value of using blockchain for the high-tech manufacturers. We study when it is wise for the high-tech manufacturer and the government to implement blockchain. To check for robustness, we consider in two extended models respectively the situations in which blockchain incurs non-trivial costs as well as having an alternative risk measure. We analytically show that most of the qualitative findings remain valid.

Item Type:	Article
Uncontrolled Keywords:	Blockchain, Mean-variance analysis, Data, High-tech products, Risk averse, Carbon target
Depositing User:	Symplectic Admin
Date Deposited:	10 Nov 2022 11:11
Last Modified:	18 Jan 2023 19:43
DOI:	10.1007/s10479-022-05030-6
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3166117