Does agricultural value-added induce environmental degradation? Evidence from Azerbaijan

GÜRBÜZ İ. B., Nesirov E., Ozkan G.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, cilt.28, sa.18, ss.23099-23112, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 18
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1007/s11356-020-12228-3
  • Dergi Adı: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.23099-23112
  • Anahtar Kelimeler: Climate change, Air pollution, Agriculture, Environmental Kuznets curve, ARDL, Causality, Azerbaijan, KUZNETS CURVE HYPOTHESIS, CO2 EMISSIONS EVIDENCE, ECONOMIC-GROWTH, RENEWABLE ENERGY, UNIT-ROOT, CARBON EMISSIONS, WATER-USE, ELECTRICITY CONSUMPTION, FINANCIAL DEVELOPMENT, ERROR-CORRECTION
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

This study empirically analyzes the long-term relationship between agricultural production and carbon dioxide (CO2) emissions in Azerbaijan using annual data covering the period of 1992-2014. Additionally, real income and energy consumption variables were included in the model in testing the existence of the environmental Kuznets curve (EKC) hypothesis. Autoregressive distributed lag (ARDL) method is undertaken to reveal the existence of the long-term relationship between the CO2 and its determinants. The ARDL mechanism shows that gross domestic product (GDP) and energy consumption have a positive and statistically significant effect on carbon dioxide emissions. However, agricultural production and the square of GDP have a negative impact on air pollution. Furthermore, when the coefficients of real GDP and squared GDP included in the model were examined to analyze the inverted-U-shaped relationship between economic growth and environmental pollution, the EKC hypothesis was confirmed to be valid. According to Toda-Yamamoto causality test results, there is a bidirectional relationship between GDP, the square of GDP, and carbon emissions. From energy consumption and agricultural value-added to CO2 emissions, a unidirectional Granger causality relationship was found. Ultimately, the findings suggest that policies and reforms that increase or support agricultural production will help lower the country's CO2 emissions level.