{"title":"Modeling electricity demand in China based on macro and micro-level methods","authors":"Shaogang Chen, Zizhe Wang","doi":"10.1016/j.jup.2025.101994","DOIUrl":null,"url":null,"abstract":"<div><div>This study analyzes residential electricity demand in Chengdu from both micro and macro-level perspectives. Household survey data is used at the micro level to estimate demand functions and capture heterogeneity via corresponding random and fixed effect models and quantile regression. At the macro level, the Autoregressive Distributed Lag (ARDL) cointegration method examines the relationships between electricity demand, gross domestic product (GDP), and prices. Results show significant differences in price and income elasticity across households, and economic growth drives energy consumption. Combining macro and micro-level analyses helps better understand demand patterns and supports more effective policy decisions.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 101994"},"PeriodicalIF":3.8000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Utilities Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957178725001092","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
This study analyzes residential electricity demand in Chengdu from both micro and macro-level perspectives. Household survey data is used at the micro level to estimate demand functions and capture heterogeneity via corresponding random and fixed effect models and quantile regression. At the macro level, the Autoregressive Distributed Lag (ARDL) cointegration method examines the relationships between electricity demand, gross domestic product (GDP), and prices. Results show significant differences in price and income elasticity across households, and economic growth drives energy consumption. Combining macro and micro-level analyses helps better understand demand patterns and supports more effective policy decisions.
期刊介绍:
Utilities Policy is deliberately international, interdisciplinary, and intersectoral. Articles address utility trends and issues in both developed and developing economies. Authors and reviewers come from various disciplines, including economics, political science, sociology, law, finance, accounting, management, and engineering. Areas of focus include the utility and network industries providing essential electricity, natural gas, water and wastewater, solid waste, communications, broadband, postal, and public transportation services.
Utilities Policy invites submissions that apply various quantitative and qualitative methods. Contributions are welcome from both established and emerging scholars as well as accomplished practitioners. Interdisciplinary, comparative, and applied works are encouraged. Submissions to the journal should have a clear focus on governance, performance, and/or analysis of public utilities with an aim toward informing the policymaking process and providing recommendations as appropriate. Relevant topics and issues include but are not limited to industry structures and ownership, market design and dynamics, economic development, resource planning, system modeling, accounting and finance, infrastructure investment, supply and demand efficiency, strategic management and productivity, network operations and integration, supply chains, adaptation and flexibility, service-quality standards, benchmarking and metrics, benefit-cost analysis, behavior and incentives, pricing and demand response, economic and environmental regulation, regulatory performance and impact, restructuring and deregulation, and policy institutions.