Evaluation of the Effects on Regional Production and Employment in Spain of the Renewable Energy Plan 2011–2020

Blanco, María del Carmen del Vando; Ferasso, Marcos; Bares, Lydia

doi:10.3390/su13063587

Cited by 15 publications

(12 citation statements)

References 31 publications

(43 reference statements)

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“…The smallest the population of a city is, the less energy the city consumes. 21 Zhang argued that Science Progress 106 (1) social development is getting faster and faster, and people's living standards have gradually improved. When people start to pursue high-energy-consuming products, a connection will be created.…”

Section: Research On the Influencing Factors Of Energy Consumptionmentioning

confidence: 99%

“…Science Progress 106 (1) of social fixed asset investment, technological level, and the output value of the tertiary industry as a proportion of GDP is less than 0, which shows that the increase of these factors will reduce energy consumption. The estimated coefficient of the population urbanization rate is 0.474, that is, under the premise of keeping other factors unchanged, for every 1% increase in population urbanization rate, energy consumption will increase by 0.474%.…”

Section: Policy Recommendationsmentioning

confidence: 99%

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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%

Section: Policy Recommendationsmentioning

confidence: 99%

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

et al. 2023

Science Progress

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“…Blanco et al (2021) study focused on evaluating how the implementation of Renewable Energy Plan (REP) from the period 2011–2020 has affected production and employment in Spain. The study employed shift-share analysis and data collected on 2,520 firms in Spain for the analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Renewable energy production and employment: comparative analysis on European and Asian countries

Osei

Kunawotor²,

Kulu³

2022

IJESM

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Purpose The purpose of this paper is to undertake comparative analysis examining the effect of renewable energy production on employment focusing on European and Asian Countries. Design/methodology/approach The study utilizes panel data from the period 2000 to 2018 and System Generalized Method of Moments (System GMM) for the analysis. This study focuses on 50 European and 40 Asian countries data used for the analysis. Findings The result of the study indicates that, renewal energy production has positively affected employment in both European and Asian countries. However, the positive effect result of European countries is stronger than that of Asian countries. Practical implications The study recommends that, governments among these countries should continue to show strong commitment towards investing in renewable energy production as stated in Paris Agreement (2015). This will have a strong effect towards increasing further employment creation among these countries. Originality/value Numerous empirical studies have been carried out examining the effect of renewable energy production on employment. This study contributes to existing empirical studies by undertaking comparative analysis to examine the subject matter focusing on European and Asian countries.

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“…Blanco et al used SSA to analyze the use of three main renewable energies, which are hydro, wind and solar photovoltaic, in Spain. Based on this, the Renewable Energy Plan 2011–2020 was evaluated [ 38 ]. Gilli et al used SSA to analyze the variation of emission intensity in manufacturing sectors.…”

Section: Literature Reviewmentioning

confidence: 99%

Green Investment Changes in China: A Shift-Share Analysis

Sheng

Zhou

Zhang

et al. 2021

IJERPH

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As China’s economic development has entered a new phase, China needs to seek a new path of green transformation development to coordinate the economic growth with environmental mitigation. From 2002 to 2017, green investment in China grew from 118.56 billion Chinese yuan to 950.86 billion Chinese yuan, increasing more than seven times. In this study, a homothetic shift-share analysis (HSSA) is used to understand how green investment changed and was used to decompose the change of provincial green investment in China from 2002 to 2017 into four driving factors: the national economic growth effect (NEG), national green investment structure effect (NIS), homothetic regional green investment competition effect (HRIC), and regional green investment allocation effect (RIA). The results indicate that these four factors had various regional and temporal characteristics, although green investment increased in all provinces during this period. More specifically, the NEG was more significant in the east than in other regions. The regional differences of NEG were relatively large in the first two periods (2002–2007 and 2007–2012) and began to shrink in the third period (2012–2017). The NIS shared the same characteristics as the NEG. In terms of HRIC, the central region was ahead of the eastern and western regions, and relatively many eastern provinces were with negative HRIC. The HRIC of most provinces showed a trend of “low/medium-medium/high-low”. The RIA inhibited green investment growth in most provinces and showed a “high-low-high” trend regarding the change from 2002 to 2017. Our study suggests that it is necessary to coordinate the growth of green investment across different regions and establish an ecological compensation mechanism.

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Evaluation of the Effects on Regional Production and Employment in Spain of the Renewable Energy Plan 2011–2020

Cited by 15 publications

References 31 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

Renewable energy production and employment: comparative analysis on European and Asian countries

Green Investment Changes in China: A Shift-Share Analysis

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