Environmental Quality, Corruption and Industry Growth: The Global Perspective

• Autorzy: Cui Min , Wang Jun-Sheng , Chang Chun-Ping

Identyfikatory

DOI

10.35784/pe.2021.1.03

Warianty tytułu

PL

Jakość środowiska, korupcja i rozwój przemysłu: perspektywa globalna

• Języki publikacji: EN

Abstrakty

EN

This paper investigates the causal relationship between environmental quality and corruption for 129 countries, using the panel cointegration and panel-based error correction models for the period 2002-2015. In the paper, we use EPI, EHI, and EVI to represent environmental quality, which are more reasonable and comprehensive. We further take industry growth into consideration and investigate its impact on environmental quality. Our results corroborate that there exists a long-term equilibrium cointegrated relationship among the variables, both of corruption and industry growth have a negative effect on environmental quality and the corruption can seriously decrease environmental quality in the long term, while industry growth weakens environmental quality no matter in the short or long run.

PL

W artykule zbadano związek przyczynowy między jakością środowiska a korupcją w 129 krajach, wykorzystując modele kointegracji panelowej i panelowej korekcji błędów za lata 2002-2015. W pracy używamy EPI, EHI i EVI do wyznaczania jakości środowiska, które wydają się najbardziej sensowne i wszechstronne. Ponadto bierzemy pod uwagę rozwój branży i badamy jego wpływ na jakość środowiska. Nasze wyniki potwierdzają, że istnieje długoterminowa stabilna skointegorowana relacja pomiędzy zmiennymi, zarówno korupcja, jak i rozwój przemysłu mają negatywny wpływ na jakość środowiska, a korupcja może poważnie obniżyć jakość środowiska w dłuższej perspektywie, podczas gdy wzrost przemysłu osłabia jakość środowiska zarówno w krótkim, jak i długim okresie.

Słowa kluczowe

EN

environmental quality; corruption; industry growth; panel cointegration; causality

PL

jakość środowiska; korupcja; wzrost gospodarczy; kointegracja panelowa; przyczynowość

• Wydawca: Lublin University of Technology
• Czasopismo: Problemy Ekorozwoju
• Rocznik: 2021
• Tom: Vol. 16, nr 1
• Strony: 29--37
• Opis fizyczny: Bibliogr. 26 poz., tab.

Twórcy

autor

Cui Min

• Department of Economics, Xi’an University of Finance and Economics, Xi’an, Shaanxi, China

autor

Wang Jun-Sheng

• Department of Economics, Xi’an University of Finance and Economics, Xi’an, Shaanxi, China

autor

Chang Chun-Ping

• Shih Chien University, Kaohsiung, Taiwan

• https://orcid.org/0000-0003-1782-4551

Bibliografia

• 1. ALEXANDRA L., 2010, Corruption and the environmental Kuznets Curve: Empirical evidence for sulfur, in: Ecological Economics, 69, p. 2191-2201.
• 2. ANUT K. B., MOHAMMAD R. F., MARCEL T., 2012, Pollution, shadow economy and corruption: Theory and evidence, in: Ecological Economics, 75, p. 114-125.
• 3. ANITYASARI M., RACHMAT A. N., 2015, Lesson Learnt from Top-down Selection of Medium Enterprises for Green Industry Pilot Project in Surabaya, in: Industrial Engineering and Service Science, 04, p. 54-61.
• 4. BISWAS A. K., THUM M., 2017, Corruption, environmental regulation and market entry, in: Environment & Development Economics, 22, p. 66-83.
• 5. BOUTILIER R. G., 2017, Original article: Raiding the honey pot: The resource curse and weak institutions at the project level, in: The Extractive Industries and Society, 04, p. 310-320.
• 6. BEKHET H. A., OTHMAN N. S., 2018, The role of renewable energy to validate dynamic interaction between CO2 emissions and GDP toward sustainable development in Malaysia, in: Energy Economics, 72, p. 47-61.
• 7. CHERNI J. A., 2002, Economic Growth Versus the Environment : The Politics of Wealth, Health and Air Pollution, Palgrave Macmillan: Houndmills, Basingstoke, Hampshire.
• 8. CHAABOUNI S., SAIDI K., 2017, The dynamic links between carbon dioxide (CO2) emissions, health spending and GDP growth: A case study for 51 countries, in: Environmental Research, 158, p. 137- 144.
• 9. CHAABOUNI S., SAIDI K., 2017, The dynamic links between carbon dioxide (CO2) emissions, health spending and GDP growth: A case study for 51 countries, in: Environmental Research, 158, p. 137-144.
• 10. DREWS S., ANTAL M., VAN D. B., JEROEN C.J.M., 2018, Analysis: Challenges in Assessing Public Opinion on Economic Growth Versus Environment: Considering European and US Data, in: Ecological Economics, 146, p. 265-272.
• 11. ELLIOTT L., 2007, Transnational Environmental Crime in the Asia-Pacific: an “under secutized” security problem?, in: The Pacific Review, 20, p. 499- 522.
• 12. ELLIOTT L., 2011, Transnational Environmental Crime: Applying network theory to an investigation of illegal trade, criminal activity and law enforcement responses, Transnational Environmental Crime Project, Working paper, no 1.
• 13. ENGLE R. F., GRANGER C. W. G., 1987, Econometric forecasting: a brief survey of current and future techniques, in: Climate Change, 11, p. 117- 139.
• 14. FREDRIKSSON P. G., HERMAN R.J. V., ELBERT D., 2004, Corruption and energy efficiency in OECD countries: theory and evidence, in: Journal of Environmental Economics and Management, 47, p. 207- 231.
• 15. FAIZ R., MUHAMMAD N., FAIZA K., 2012, Nexus between corruption and regional Environmental Kuznets Curve: the case of South Asian countries., in: Environment, Development and Sustainability, 14, p. 827.
• 16. FRIEDL B., GETZNER M., 2003, Determinants of CO2 emissions in a small open economy, in: Ecol. Econ, 01, p. 133-148.
• 17. HUANG Y., LIU L., 2014, Fighting corruption: A long-standing challenge for environmental regulation in China, in: Environmental Development, 06, p. 1-3.
• 18. INFANTE D., SMIRNOVA J., 2016, Environmental Technology Choice in the Presence of Corruption and the Rule of Law Enforcement, in: Transformations in Business and Economics, 15, p. 214-224.
• 19. KAO C., CHIANG M. H., 2000, On the estimation and inference of a cointegrated regression in panel data, in: Adv Econometrics, 15, p. 179-222.
• 20. LORENZO P., 2008, Corruption, Development and the Environment, Vrige University.
• 21. NIU J., CHANG C. P., YANG X. Y.,WANG J. S., 2017, The long relationships between energy efficiency and environmental performance: Global evidence, in: Energy and Environment, 06, p. 1-19.
• 22. OLE M. L., MARINA P., 2018, Do Political Institutions Moderate the GDP-CO2 Relationship? in: Ecological Economics, 145, p. 441-450.
• 23. PEDRONI P., 2004, Panel cointegration: asymptotic and finite sample properties of fooled time series tests with an application to the PPP hypothesis, in: Econometric Theory, 20, p. 597-625.
• 24. PHILLIPS P. C. B., HANSEN B. E., 1990, Statistical inference in instrumental variables regression with the I (1) process, in: Rev Econ Dtud, 57, p. 99-125.
• 25. WEI B. L., BIN C., JIN Y. 2011, Temporal and Spatial Analysis of Integrated Energy and Environment Efficiency in China Based on a Green GDP Index, in: Energies, 9, p.1376-1390.
• 26. ZHANG Y. J., JIN Y. L., CHEVALLIER J., SHEN B., 2016, The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis, in: Technological Forecasting & Social Change, 112, p. 220-227.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).