TY - JOUR
T1 - Factors driving aggregate service sector energy intensities in Asia and Eastern Europe
T2 - A LMDI analysis
AU - Wang, Jianda
AU - Dong, Kangyin
AU - Hochman, Gal
AU - Timilsina, Govinda R.
N1 - The authors gratefully acknowledge the helpful reviews and comments from the editors and anonymous reviewers, which improved this manuscript considerably. Certainly, all remaining errors are our own. The authors also thank the Beijing Xi Jinping Thought on Socialism with Chinese Characteristics for a New era Center & Beijing Social Science Foundation (Grant No. 21LLLJC028) for financial support.
Changes in the sub-sectoral energy intensities reflect energy efficiency improvement in the service sector, which uses electricity abundantly. Most energy efficiency improvements are realized through electricity-consuming devices and processes, such as light bulbs, refrigerators, heating, and cooling systems, electric motors, and electronic devices. To this end, many countries introduced energy efficiency standards. For example, China updated the energy efficiency standards of room air conditioners in 2010 (GB 12021.3-2010) (Wu et al., 2019). When focusing on the 16 countries, most launched programs to improve energy efficiency (Kong et al., 2012; Shukla and Zia, 2016). To this end, many international development partners focused on the service sector and implemented energy efficiency programs. For example, India's government launched the India Cooling Action Plan in 2019 and set forth several ambitious goals, such as reducing cooling demand across service sectors by 20–25% by 2037–2038 (Debnath et al., 2020). With the support of the World Bank's Energy Sector Management Assistance Program (ESMAP), International Institute for Energy Conservation (IIEC) launched a LED retrofit demonstration project in Surabaya, Indonesia, installing LED lamps to replace the original high-energy-consuming lights in the city's main traffic routes and outdoor lighting facilities in major parks (IIEC, 2019).
PY - 2023/1
Y1 - 2023/1
N2 - The economywide energy intensities in the service sectors are declining in many countries worldwide. We identify the drivers of the declining trends by employing the Logarithmic Mean Divisia Index (LMDI) on annual data from 16 countries in the Asia and Eastern Europe for the 2000–2014 period. We find that the change in fuel mix has little contribution to driving the economywide energy intensity of the service sector down during the study horizon. Instead, the change in energy intensity contributes to a decrease in economywide energy intensity of service sectors in most countries except the Czech Republic, Estonia, Latvia, and Turkey. Moreover, since energy intensity is inseparable from economic development, changes in economic structure are an essential determinant of the economywide energy intensity of service sectors. This work also analyzes the sectoral attribution and energy feedstocks attribution of economywide energy intensity of the service sectors.
AB - The economywide energy intensities in the service sectors are declining in many countries worldwide. We identify the drivers of the declining trends by employing the Logarithmic Mean Divisia Index (LMDI) on annual data from 16 countries in the Asia and Eastern Europe for the 2000–2014 period. We find that the change in fuel mix has little contribution to driving the economywide energy intensity of the service sector down during the study horizon. Instead, the change in energy intensity contributes to a decrease in economywide energy intensity of service sectors in most countries except the Czech Republic, Estonia, Latvia, and Turkey. Moreover, since energy intensity is inseparable from economic development, changes in economic structure are an essential determinant of the economywide energy intensity of service sectors. This work also analyzes the sectoral attribution and energy feedstocks attribution of economywide energy intensity of the service sectors.
KW - Contribution analysis
KW - Countries in Asia and Eastern Europe
KW - Economywide energy intensity
KW - Logarithmic mean divisia index (LMDI) method
KW - Service sectors
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U2 - 10.1016/j.enpol.2022.113315
DO - 10.1016/j.enpol.2022.113315
M3 - Article
AN - SCOPUS:85141469230
SN - 0301-4215
VL - 172
JO - Energy Policy
JF - Energy Policy
M1 - 113315
ER -