Simona Bigerna, Maria Chiara D’Errico, Paolo Polinori
{"title":"制度变量与电力企业生产率:含时不变变量的微观面板估计","authors":"Simona Bigerna, Maria Chiara D’Errico, Paolo Polinori","doi":"10.1016/j.seps.2025.102323","DOIUrl":null,"url":null,"abstract":"<div><div>Enhancing the productivity of power firms is essential for reducing energy resource consumption while improving sectoral performance. This objective aligns with circular economy (CE) principles, which emphasize not only reducing raw material use and minimizing waste, but also promoting systemic efficiency through infrastructure sharing, resource recovery, and cross-sectoral integration, particularly crucial in network-based sectors like electricity. Nonetheless, the productivity of electricity firms is influenced by multiple factors, some of which fall beyond their direct control. Among these, institutional frameworks play a significant role. Indeed, internal and external institutions define the environment in which companies operate, conditioning firms’ decision-making processes and productivity. This study investigates the role of institutional determinants in driving productivity changes in electricity companies across 15 European countries between 2010 and 2016, with a particular focus on environmental and market regulatory policies. In sectors like electricity, where long asset lifecycles, infrastructure interdependencies, and resource intensity prevail, CE goals cannot be achieved without institutional conditions that enable long-term investment, coordination, and adaptive capacity. Using the firm-level ORBIS dataset, we estimate productivity changes over time using the bootstrap Malmquist index, then a dynamic panel linear model is applied to investigate how internal and external institutional variables affect the dynamics of the Malmquist index. The internal institutional variables are time-invariant; therefore, we employ the procedure proposed by Kripfganz and Schwarz (2019) to consistently identify the effects of time-invariant variables. This novel approach provides valuable robustness to false assumptions about the exogeneity of instruments. Interaction variables capture the interplay between external and internal institutional variables. The results highlight the importance of matching environmental regulations with firm-specific internal characteristics in order to avoid detrimental effects on firm performance in the power generation sector.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102323"},"PeriodicalIF":5.4000,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Institutional variables and power firms’ productivity: Micro panel estimation with time-invariant variables\",\"authors\":\"Simona Bigerna, Maria Chiara D’Errico, Paolo Polinori\",\"doi\":\"10.1016/j.seps.2025.102323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Enhancing the productivity of power firms is essential for reducing energy resource consumption while improving sectoral performance. This objective aligns with circular economy (CE) principles, which emphasize not only reducing raw material use and minimizing waste, but also promoting systemic efficiency through infrastructure sharing, resource recovery, and cross-sectoral integration, particularly crucial in network-based sectors like electricity. Nonetheless, the productivity of electricity firms is influenced by multiple factors, some of which fall beyond their direct control. Among these, institutional frameworks play a significant role. Indeed, internal and external institutions define the environment in which companies operate, conditioning firms’ decision-making processes and productivity. This study investigates the role of institutional determinants in driving productivity changes in electricity companies across 15 European countries between 2010 and 2016, with a particular focus on environmental and market regulatory policies. In sectors like electricity, where long asset lifecycles, infrastructure interdependencies, and resource intensity prevail, CE goals cannot be achieved without institutional conditions that enable long-term investment, coordination, and adaptive capacity. Using the firm-level ORBIS dataset, we estimate productivity changes over time using the bootstrap Malmquist index, then a dynamic panel linear model is applied to investigate how internal and external institutional variables affect the dynamics of the Malmquist index. The internal institutional variables are time-invariant; therefore, we employ the procedure proposed by Kripfganz and Schwarz (2019) to consistently identify the effects of time-invariant variables. This novel approach provides valuable robustness to false assumptions about the exogeneity of instruments. Interaction variables capture the interplay between external and internal institutional variables. The results highlight the importance of matching environmental regulations with firm-specific internal characteristics in order to avoid detrimental effects on firm performance in the power generation sector.</div></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":\"102 \",\"pages\":\"Article 102323\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Socio-economic Planning Sciences\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038012125001727\",\"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":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125001727","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Institutional variables and power firms’ productivity: Micro panel estimation with time-invariant variables
Enhancing the productivity of power firms is essential for reducing energy resource consumption while improving sectoral performance. This objective aligns with circular economy (CE) principles, which emphasize not only reducing raw material use and minimizing waste, but also promoting systemic efficiency through infrastructure sharing, resource recovery, and cross-sectoral integration, particularly crucial in network-based sectors like electricity. Nonetheless, the productivity of electricity firms is influenced by multiple factors, some of which fall beyond their direct control. Among these, institutional frameworks play a significant role. Indeed, internal and external institutions define the environment in which companies operate, conditioning firms’ decision-making processes and productivity. This study investigates the role of institutional determinants in driving productivity changes in electricity companies across 15 European countries between 2010 and 2016, with a particular focus on environmental and market regulatory policies. In sectors like electricity, where long asset lifecycles, infrastructure interdependencies, and resource intensity prevail, CE goals cannot be achieved without institutional conditions that enable long-term investment, coordination, and adaptive capacity. Using the firm-level ORBIS dataset, we estimate productivity changes over time using the bootstrap Malmquist index, then a dynamic panel linear model is applied to investigate how internal and external institutional variables affect the dynamics of the Malmquist index. The internal institutional variables are time-invariant; therefore, we employ the procedure proposed by Kripfganz and Schwarz (2019) to consistently identify the effects of time-invariant variables. This novel approach provides valuable robustness to false assumptions about the exogeneity of instruments. Interaction variables capture the interplay between external and internal institutional variables. The results highlight the importance of matching environmental regulations with firm-specific internal characteristics in order to avoid detrimental effects on firm performance in the power generation sector.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.