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Exploring the Dynamic Relationships between Agricultural Production and Environmental Pollution: Evidence from a GMM-SYS Model in the Three Seas Initiative (3SI)

Author

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  • Błażej Suproń

    (Department of Economics, Finance and Accounting, Faculty of Economics, West Pomeranian University of Technology, 70-310 Szczecin, Poland)

  • Janusz Myszczyszyn

    (Department of Economics, Finance and Accounting, Faculty of Economics, West Pomeranian University of Technology, 70-310 Szczecin, Poland)

Abstract

The Three Seas Initiative (3SI) is still an under-researched area and is particularly important due to historical circumstances and economic backwardness. A study was carried out to assess the impact of renewable energy and production made by the agricultural sector on CO 2 emissions in 3SI countries between 2008 and 2020. The study used panel data analysis based on the two-step system’s generalized method of moments (GMM) and the Dumitrescu–Hurlin panel causality test. The results show that a 1% increase in the value added generated by agriculture increased CO 2 emissions in the countries studied by 0.11%. In contrast, a 1% increase in GDP led to a 0.29% increase in CO 2 emissions. Conversely, when renewable energy consumption increased by 1%, CO 2 emissions fell by 0.25% in the countries studied. One way to reduce CO 2 emissions from agricultural production in the short term is to increase the share of renewables, which incidentally is in line with EU action.

Suggested Citation

  • Błażej Suproń & Janusz Myszczyszyn, 2024. "Exploring the Dynamic Relationships between Agricultural Production and Environmental Pollution: Evidence from a GMM-SYS Model in the Three Seas Initiative (3SI)," Sustainability, MDPI, vol. 16(9), pages 1-15, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3748-:d:1386177
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Stephen Bond & Frank Windmeijer, 2002. "Finite sample inference for GMM estimators in linear panel data models," CeMMAP working papers CWP04/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Liu, Xuyi & Zhang, Shun & Bae, Junghan, 2017. "The nexus of renewable energy-agriculture-environment in BRICS," Applied Energy, Elsevier, vol. 204(C), pages 489-496.
    7. Nihal Ahmed & Adnan Ahmed Sheikh & Bilal Hassan & Sajjad Nawaz Khan & Ricardo Cosio Borda & Juan Martín Campos Huamán & Piotr Senkus, 2022. "The Role of Educating the Labor Force in Sustaining a Green Economy in MINT Countries: Panel Symmetric and Asymmetric Approach," Sustainability, MDPI, vol. 14(19), pages 1-12, September.
    8. Tutak, Magdalena & Brodny, Jarosław, 2022. "Analysis of the level of energy security in the three seas initiative countries," Applied Energy, Elsevier, vol. 311(C).
    9. Jeffrey M. Wooldridge, 2001. "Applications of Generalized Method of Moments Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 87-100, Fall.
    10. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries," Energies, MDPI, vol. 10(3), pages 1-21, March.
    11. Nicoleta Mihaela Florea & Roxana Maria Bădîrcea & Ramona Costina Pîrvu & Alina Georgiana Manta & Marius Dalian Doran & Elena Jianu, 2020. "The impact of agriculture and renewable energy on climate change in Central and East European Countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(10), pages 444-457.
    12. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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