From the Celtic Tiger to the Celtic Phoenix: The metabolic profile of Ireland and the main drivers of energy change

Andreoni, Valeria

doi:10.1016/j.jclepro.2019.118975

Cited by 8 publications

(3 citation statements)

References 42 publications

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“…32 driven by structural changes and implementation of energy efficiency action plans, has contributed to reducing the energy used in relation to gross domestic product and human time. 34 ul Husnain et al indicated short-run coherence among energy consumption and economic growth of all the top 10 energy-consuming countries. Long-run dependence between energy consumption and economic growth exists in the case of China with a mostly leading role of energy consumption over economic growth.…”

Section: Research On the Influencing Factors Of Energy Consumptionmentioning

confidence: 99%

Study on regional differences and influencing factors of energy consumption in China

et al. 2023

Science Progress

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Energy is becoming more and more important in the process of development. Through cluster analysis, 30 provinces chosen from the Chinese mainland are divided into high, medium, and low energy consumption regions, and the Theil index is used to analyze the characteristics of total energy consumption and other characteristics of regional differences. Based on this, an enhanced Panel-STIRPAT model is constructed. Through data and model inspection, panel models suitable for each region are selected for comprehensive analysis. The results show that: there are regional differences in energy consumption in China, and the total regional differences mainly come from within each region. The factors affecting energy consumption in different regions are the same, but due to differences in geographical environment and stress levels, the influence of these factors on energy consumption in different regions is different. Based on this, reasonable measurements to control energy consumption in different regions are presented.

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Section: Research On the Influencing Factors Of Energy Consumptionmentioning

confidence: 99%

Study on regional differences and influencing factors of energy consumption in China

et al. 2023

Science Progress

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“…We should note that there are no studies at the regional level of MuSIASEM inside a country. They exist to compare countries [24][25][26][27], to analyze the evolution of a country [28][29][30] or those that exist focus on a specific region [31,32]. For this reason, this work presents a novel tool for electricity planning and focuses on performing a multilevel and multiregional analysis of Mexico, since there are no multilevel-multiregional works within a country, just as there is no MuSIASEM analysis for Mexico.…”

Section: Litereature Reviewmentioning

confidence: 99%

Multilevel and Multiregional Analysis of the Electricity Metabolism of Mexico across Sectors

Guerrero

González-López

2023

Electricity

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This paper presents a novel tool for electricity planning, based on an improvement of MuSIASEM (Multiscale Integrated Analysis of the Societal and Ecological Metabolism) by incorporating a new regional analysis of the electricity metabolism across levels. An analysis of Mexico illustrates this toolkit and shows that the industry sector has economic energy intensity (EEI) with 40.3 MWh/MMXN reaching a higher value than the commerce and services sector with 0.84 MWh/MMXN. Regarding the economic labor productivity (ELP) indicator (AV/h), the industrial sector with 208.5 TMXN/Kh reached a higher value than the commercial and services sector with 114.3 TMXN/Kh. Regarding the exosomatic metabolic rate (EMR), the household sector obtained 59.3 KWh/Kh, whereas the economic sector reached 2486.4 KWh/Kh. Disaggregation of the EMR indicator into economic sectors shows that the industrial sector reached 8.4 KWh/Kh and the commercial and services sector reached 0.10 KWh/Kh. The lack of complete data for the agricultural sector does not allow us to calculate EEI, ELP, and EMR indicators accurately. This innovative approach is useful for governance because it helps us to understand and reduce asymmetries across regions in terms of electricity consumption, resulting in more social equality and a better economic equilibrium across sectors and regions.

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“…We should note that there are no studies at the regional level of MuSIASEM inside a country. They exist to compare countries [17][18][19][20][21], to analyze the evolution of a country [22][23][24] or those that exist focus on a specific region [25,26]. For this reason, this work focuses on performing a multilevel and multiregional analysis of Mexico, since there are no multilevel-multiregional works within a country, just as there is no MuSIASEM analysis for Mexico.…”

Section: Introductionmentioning

confidence: 99%

Multilevel and Multiregional Analysis of the Electricity Metabolism Across Sectors

Guerrero¹,

González-López²

2022

Preprint

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This paper presents a novel improvement of MuSIASEM (Multiscale Integrated Analysis of the Societal and Ecological Metabolism) by incorporating a new regional analysis of the electricity metabolism across levels. An analysis of Mexico illustrates this toolkit and shows that the industry sector had Economic Energy Intensity (EEI) with 40.3 MWh/MMXN reached a higher value than the commerce and services sector with 0.84 MWh/MMXN. Regarding the Economic Labor Productivity (ELP) indicator (AV/h), the industrial sector with 208.5 TMXN/Kh reached a higher value than the Commercial and services sector with 114.3 TMXN/Kh. With reference to the Exosomatic Metabolic Rate (EMR), the Household sector obtained 59.3 KWh/Kh whereas the paid sector reached 2,486.4 KWh/Kh. Disaggregation of the EMR indicator into economic sectors shows that the Industrial sector obtained 8.4 KWh/Kh and the commercial and services sector reached 0.10 KWh/Kh. The lack of complete data for the agricultural sector does not allow us to calculate EEI, ELP, and EMR indicators accurately. Considering the analysis of indicators by regions, regarding the EEI rate, the Central region had the lowest value with 12.7 MWh/MMXN, followed by the Northeast with 21.4 MWh/MMXN and Western with 29.4 MWh/ MMXN, which means that they require less electricity to produce more added value. In terms of the ELP indicator, it was found regions with higher values were Northeast with 182.3 MMXN/Mh, Central with 177.5 MMXN/Mh, and North with 127 MMXN/Mh, which means that these regions produce more added value per hour of work. About the EMR, it is observed that regions in the northern part of the country had higher values: Northwest with 337 KWh/Kh, Baja California Sur with 334 KWh/Kh, Baja California with 328 KWh/Kh, North with 313 KWh/Kh and Northeast with 274 KWh/Kh, which means that these regions consume more electricity per hour. This innovative approach is useful for governance because it helps to understand and reduce asymmetries across regions, resulting in more social equality and a better economic equilibrium across sectors and regions.

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From the Celtic Tiger to the Celtic Phoenix: The metabolic profile of Ireland and the main drivers of energy change

Cited by 8 publications

References 42 publications

Study on regional differences and influencing factors of energy consumption in China

Study on regional differences and influencing factors of energy consumption in China

Multilevel and Multiregional Analysis of the Electricity Metabolism of Mexico across Sectors

Multilevel and Multiregional Analysis of the Electricity Metabolism Across Sectors

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