{"title":"能源中断、内部发电机和产能利用:非洲制造业的案例","authors":"Dengjun Zhang , Nazif Durmaz , John M. Kagochi","doi":"10.1016/j.eneco.2025.108614","DOIUrl":null,"url":null,"abstract":"<div><div>This study evaluates the impact of energy outages and in-house power generators on capacity utilization among approximately 12,000 African firms. Energy outages and in-house power generators are measured by the days that firm experienced energy outages and the share of self-generated electricity as a proportion of total electricity consumed, respectively. We further construct quantile dummies based on outage days and the self-generated electricity share. The estimation results depend on the measurement of these key variables and whether the joint impact of energy outages and in-house power generators is accounted for. For example, only in the model that include outage days, the self-generated electricity share, and the interaction term between them, both outage days and the joint impact are found to be significant. This study provides a comprehensive assessment of the effects of power outages and generator ownership on capacity utilization, offering valuable managerial and policy insights.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"147 ","pages":"Article 108614"},"PeriodicalIF":13.6000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy outages, in-house power generators, and capacity utilization: The case of African manufacturing\",\"authors\":\"Dengjun Zhang , Nazif Durmaz , John M. Kagochi\",\"doi\":\"10.1016/j.eneco.2025.108614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study evaluates the impact of energy outages and in-house power generators on capacity utilization among approximately 12,000 African firms. Energy outages and in-house power generators are measured by the days that firm experienced energy outages and the share of self-generated electricity as a proportion of total electricity consumed, respectively. We further construct quantile dummies based on outage days and the self-generated electricity share. The estimation results depend on the measurement of these key variables and whether the joint impact of energy outages and in-house power generators is accounted for. For example, only in the model that include outage days, the self-generated electricity share, and the interaction term between them, both outage days and the joint impact are found to be significant. This study provides a comprehensive assessment of the effects of power outages and generator ownership on capacity utilization, offering valuable managerial and policy insights.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":\"147 \",\"pages\":\"Article 108614\"},\"PeriodicalIF\":13.6000,\"publicationDate\":\"2025-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0140988325004414\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325004414","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Energy outages, in-house power generators, and capacity utilization: The case of African manufacturing
This study evaluates the impact of energy outages and in-house power generators on capacity utilization among approximately 12,000 African firms. Energy outages and in-house power generators are measured by the days that firm experienced energy outages and the share of self-generated electricity as a proportion of total electricity consumed, respectively. We further construct quantile dummies based on outage days and the self-generated electricity share. The estimation results depend on the measurement of these key variables and whether the joint impact of energy outages and in-house power generators is accounted for. For example, only in the model that include outage days, the self-generated electricity share, and the interaction term between them, both outage days and the joint impact are found to be significant. This study provides a comprehensive assessment of the effects of power outages and generator ownership on capacity utilization, offering valuable managerial and policy insights.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.