A Pareto Superior Incentive Scheme for Residential Electricity Conservation: A Case Study of Shenzhen City in China

Shenzhen’s residential inclining tier rates are designed to encourage electricity conservation. However, the rates for customers with relatively low consumption fall below Shenzhen’s estimated marginal generation cost, leading to economically inefficient overconsumption. Therefore, we propose an incentive scheme with voluntary participation to promote residential electricity conservation. We further demonstrate that this scheme is Pareto superior, as its implementation can benefit participating customers without adversely affecting the electric utility or non-participating customers.

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Publication Details

Journal
Energy RESEARCH LETTERS
Published
2025-12-20
DOI
https://doi.org/10.46557/001c.151210
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

A Pareto Superior Incentive Scheme for Residential Electricity Conservation: A Case Study of Shenzhen City in China

Han Qi, Yuk‐shing Cheng, Kang Cao, C.K. Woo
Energy RESEARCH LETTERS
Smart Grid Energy Management
article

A Pareto Superior Incentive Scheme for Residential Electricity Conservation: A Case Study of Shenzhen City in China

Han Qi, Yuk‐shing Cheng, Kang Cao, C.K. Woo
article en

Abstract

Shenzhen’s residential inclining tier rates are designed to encourage electricity conservation. However, the rates for customers with relatively low consumption fall below Shenzhen’s estimated marginal generation cost, leading to economically inefficient overconsumption. Therefore, we propose an incentive scheme with voluntary participation to promote residential electricity conservation. We further demonstrate that this scheme is Pareto superior, as its implementation can benefit participating customers without adversely affecting the electric utility or non-participating customers.

Energy RESEARCH LETTERSVol. 7(Early View)
Hong Kong Baptist University (HK), Shenzhen University (CN), Shenzhen Technology University (CN)
National Natural Science Foundation of China, Shenzhen University
Openalex Percentile: Top 58%
Smart Grid Energy Management
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