Your browser doesn't support javascript.
loading
Energy mix with technological innovation to abate carbon emission: fresh evidence from Mexico applying wavelet tools and spectral causality.
Hossain, Md Emran; Rej, Soumen; Hossain, Mohammad Razib; Bandyopadhyay, Arunava; Tama, Riffat Ara Zannat; Ullah, Assad.
Afiliação
  • Hossain ME; Department of Agricultural Finance and Banking, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh. emranaerd@gmail.com.
  • Rej S; Vinod Gupta School of Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.
  • Hossain MR; School of Business, University of Petroleum & Energy Studies, Dehradun, India.
  • Bandyopadhyay A; School of Economics and Public Policy, Adelaide Business School, The University of Adelaide, Adelaide, Australia.
  • Tama RAZ; Department of Agricultural Finance and Cooperatives, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
  • Ullah A; Vinod Gupta School of Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.
Environ Sci Pollut Res Int ; 30(3): 5825-5846, 2023 Jan.
Article em En | MEDLINE | ID: mdl-35982384
The global warming issue arises from climate change, which draws scientists' attention toward cleaner energy sources. Among clean sources, renewables and nuclear energy are getting immense attention among policymakers. However, the significance of nuclear energy in reducing CO2 emissions has remained ambiguous, necessitating further research. Therefore, the present study draws impetuous attention to the United Nations Sustainable Development Goals-7 (affordable clean energy) & 13 (climate change mitigation) by looking at the relationship between energy mix (fossil fuels, renewables, and nuclear), economic growth, technological innovation, and CO2 emissions in Mexico from 1980 to 2019 using the autoregressive distributed lag (ARDL) model. In addition, to assess the direction of causality, this study applied wavelet techniques and spectral causality. The findings affirm that renewable and nuclear energy use and technological innovation tend to curb CO2 emissions, whereas fossil fuel consumption and economic expansion trigger CO2 emissions. The study lends support to the environmental Kuznets curve (EKC) phenomenon in Mexico. The FMOLS and DOLS tests show that our long-run estimates are reliable. In different time scales, the wavelet coherence result is also consistent. Finally, the results of the spectral causality approach demonstrate a significant causal association between the variables tested at various frequencies. As a result, in order to achieve SDGs 7 and 13 and support an environmentally friendly ecosystem, Mexico's energy mix must be changed to renewables and nuclear.
Assuntos
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Energia Renovável Tipo de estudo: Etiology_studies / Prognostic_studies País/Região como assunto: Mexico Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh País de publicação: Alemanha
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Energia Renovável Tipo de estudo: Etiology_studies / Prognostic_studies País/Região como assunto: Mexico Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh País de publicação: Alemanha