2021
DOI: 10.3390/en14144269
|View full text |Cite
|
Sign up to set email alerts
|

The Effect of Marshallian and Jacobian Knowledge Spillovers on Jobs in the Solar, Wind and Energy Efficiency Sector

Abstract: The purpose of this paper is to establish if Marshallian and Jacobian knowledge spillovers affect job creation in the green energy sector. Whether these two effects exist is important for the number of jobs created in related fields and jobs pushed away in other sectors. In the analysis, the production efficiency, in terms of jobs and job spillovers, from inventions in solar, wind and energy efficiency, is explored through data envelopment analysis (DEA), based on the Malmquist productivity index, and tobit re… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 17 publications
(4 citation statements)
references
References 107 publications
1
3
0
Order By: Relevance
“…The ANOVA test confirms the difference between the two groups (F-value = 2.295 **; p-value= 0.0076). This result confirms the link between the development of the TIR and job creation established by academic [8,12,21,29,30] and grey literature [16,17,55].…”
Section: Discussionsupporting
confidence: 86%
See 1 more Smart Citation
“…The ANOVA test confirms the difference between the two groups (F-value = 2.295 **; p-value= 0.0076). This result confirms the link between the development of the TIR and job creation established by academic [8,12,21,29,30] and grey literature [16,17,55].…”
Section: Discussionsupporting
confidence: 86%
“…Following [8,21] report that policies in favour of green economy boost innovation and employment in the EU, the US and Japan. In the same geographical area [29,30] the development of wind power technology has fostered job creation. Conversely, older studies cautiously point to some neutral or negative effects [14,15,31,32].…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, Zhang et al used a three-stage SBM model to evaluate the energy utilization efficiency of RECP countries and its influencing factors [12]; Pan et al quantitatively calculated the energy utilization efficiency of 30 provincial-level administrative regions in China based on the SBM-DEA model and explored its driving factors using a regression model [20]. In terms of research objects, relevant research covers traditional fossil energy [21]; mature green energy, such as water energy, wind energy, and photovoltaic energy [22,23]; and emerging renewable energy, such as biomass energy and geothermal energy [24]. For instance, Chen et al combined the DEA model to explore the utilization efficiency of different types of fossil energy in 30 provincial-level administrative regions in China [25]; Meng and Du conducted a quantitative study of green energy efficiency in different provinces of China using the DEA model [26].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The agricultural sector is one of the most important sectors in Turkey and contributes about 6% to the country's gross domestic product (GDP) while employing 18% of the workforce (OECD, 2020). Like the other sectors such as the energy sector of some economies (Aldieri et al, 2021; Bas et al, 2021; Olanipekun & Alola, 2020), the importance of the agricultural sector to the economy of Turkey is obvious but at the same time, the agriculture sector's contribution to greenhouse gas (GHG) emission has not been at a low level, representing 7.3% of the total GHG. Turkey is one of the signatory countries to the Paris Agreement, which commits countries to reduce their GHG emissions based on their nationally determined and by extension global emission targets.…”
Section: Introductionmentioning
confidence: 99%