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Professionalism: bridging the missing link between environmental MRV and carbon neutrality

Published online by Cambridge University Press:  11 October 2024

Hiu Ching Chung
Affiliation:
School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong
Wanxin Li*
Affiliation:
School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong State Key Lab of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong School of Public Policy and Management, Tsinghua University, Kowloon, Hong Kong
Christine Loh
Affiliation:
Institute for the Environment, Hong Kong University of Science and Technology, Kowloon, Hong Kong
*
Corresponding author: Wanxin Li; Email: wanxin.li@cityu.edu.hk

Abstract

Carbon neutrality cannot be achieved without different economic sectors, individuals and households, and the government making serious efforts. Green finance in different forms including environmental, social and governance investment and carbon emissions trading are used to measure the reduction in carbon emissions and place a monetary value on them. However, because of inconsistencies or even manipulation in the monitoring/measurement, reporting and verification (MRV) of air quality and carbon emissions data, the effectiveness of green finance has been largely compromised. Environmental MRV is a technology-based engineering task, which is also heavily impacted by institutional design and professionalism. This commentary will draw upon principal–agent theory and the practical arrangements of environmental MRV to discuss why professionalism is badly needed and how to bridge the missing link for achieving carbon neutrality and sustainability transitions.

Information

Type
Commentary
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
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Figure 1. Keyword clusters reported by VOSviewer.

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Table 1. Frequency of occurrences of author keywords in the academic literature

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