Power infrastructure quality and industrial performance: A panel data analysis on OECD manufacturing sectors

Acar P., BERK İ.

ENERGY, cilt.239, 2022 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 239
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.energy.2021.122277
  • Dergi Adı: ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Agricultural & Environmental Science Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Geobase, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Power infrastructure quality, Manufacturing performance, OECD Countries, Panel ARDL, Cross-sectional dependence, UNIT-ROOT TESTS, FIRM PRODUCTIVITY EVIDENCE, FOREIGN DIRECT-INVESTMENT, RESEARCH-AND-DEVELOPMENT, ENERGY INTENSITY, PUBLIC INFRASTRUCTURE, ELECTRICITY SHORTAGES, ECONOMIC-GROWTH, HETEROGENEOUS PANELS, COINTEGRATION TESTS
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

This paper investigates the effects of power infrastructure quality on the performance of the manufacturing industries in 27 OECD countries over the period from 1995 to 2014. The panel Autoregressive Distributive Lag Approach (ARDL) is employed on annual data of the manufacturing production, of value-added as proxy variables for manufacturing performance, and of electricity power transmission and distribution losses as a proxy for power infrastructure quality. Due to the existence of cross-sectional dependence, second-generation estimators, namely the Common Correlated Effects Mean Group (CCEMG) and the Augmented Mean Group (AMG), are used. The results indicate that the transmission and distribution losses negatively affect both manufacturing production and value-added. The negative effect remains robust even when different sets of control variables are added. Estimations reveal that these losses have a more profound and significant effect on manufacturing production than they do on the value-added. We also found the negative effect to be higher and more significant for the EU-13 subgroup, which explains the particular interest in the issue shown in the recent EU energy efficiency directives. (c) 2021 Elsevier Ltd. All rights reserved.