PMID- 38107288
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231219
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 12
DP  - 2023 Dec
TI  - Examining and prioritizing the effect of sustainable energy on the job market to 
      advance China's green workforce.
PG  - e22710
LID - 10.1016/j.heliyon.2023.e22710 [doi]
LID - e22710
AB  - China, the world's greatest emitter of greenhouse gases, has committed to 
      reaching peak carbon dioxide emissions by 2030 and carbon neutrality by 2060. One 
      strategy to accomplish this aim is switching to a low-carbon economy via 
      advancing renewable energy (RE) projects. Therefore, this study focuses on solar, 
      wind, biomass, and hydropower and examines the beneficial employment effects of 
      RE projects in China. The study uses fuzzy-based Multi-Criteria Decision Making 
      (MCDM) methodologies, such as the Analytical Hierarchy Process (AHP) and Weighted 
      Aggregated Sum Product Assessment (WASPAS), to evaluate numerous employment 
      effect criteria and sub-criteria. Based on these evaluations, the report 
      prioritizes four main types of RE projects. According to the fuzzy AHP technique 
      results, direct employment, skill requirements, and local employment are the most 
      crucial employment effect factors. The study then employed the fuzzy WASPAS 
      approach to assessing various RE initiatives' employment prospects. According to 
      the findings, hydropower is the best choice for creating jobs, followed by wind 
      and solar power initiatives. In recent years, the hydro, wind, and solar power 
      industries have experienced rapid expansion, creating numerous job possibilities 
      in production, installation, operation, and maintenance. Additionally, creating 
      RE projects can boost regional economic growth and lessen poverty.
CI  - (c) 2023 The Authors.
FAU - Liu, Gao
AU  - Liu G
AD  - School of Humanities and Social Science, Yancheng Institute of Technology, 
      Yancheng, Jiangsu 224007, China.
FAU - Chen, Tianchang
AU  - Chen T
AD  - School of Humanities and Social Science, Yancheng Institute of Technology, 
      Yancheng, Jiangsu 224007, China.
FAU - Sui, Xin
AU  - Sui X
AD  - School of Humanities and Social Science, Yancheng Institute of Technology, 
      Yancheng, Jiangsu 224007, China.
FAU - Solangi, Yasir Ahmed
AU  - Solangi YA
AD  - School of Management, Jiangsu University, Zhenjiang 212013, Jiangsu, China.
LA  - eng
PT  - Journal Article
DEP - 20231122
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10724673
OTO - NOTNLM
OT  - Fuzzy AHP
OT  - Fuzzy WASPAS
OT  - Low-carbon economy
OT  - Renewable energy
OT  - Sustainable development
OT  - employment impacts
COIS- It is certified that authors have complied with ethical requirements and that 
      this manuscript is neither submitted anywhere nor under consideration for 
      publication elsewhere. The authors declare that there is no conflict of interest 
      with anyone else.
EDAT- 2023/12/18 06:42
MHDA- 2023/12/18 06:43
PMCR- 2023/11/22
CRDT- 2023/12/18 04:55
PHST- 2023/06/18 00:00 [received]
PHST- 2023/11/08 00:00 [revised]
PHST- 2023/11/16 00:00 [accepted]
PHST- 2023/12/18 06:43 [medline]
PHST- 2023/12/18 06:42 [pubmed]
PHST- 2023/12/18 04:55 [entrez]
PHST- 2023/11/22 00:00 [pmc-release]
AID - S2405-8440(23)09918-8 [pii]
AID - e22710 [pii]
AID - 10.1016/j.heliyon.2023.e22710 [doi]
PST - epublish
SO  - Heliyon. 2023 Nov 22;9(12):e22710. doi: 10.1016/j.heliyon.2023.e22710. 
      eCollection 2023 Dec.