Impacts of Corruption on Sustainable Development: A Simultaneous Equations Model Estimation Approach

Murshed, Muntasir and Mredula, Farzana Awlad (2018): Impacts of Corruption on Sustainable Development: A Simultaneous Equations Model Estimation Approach. Published in: Journal of Accounting, Finance and Economics , Vol. 8, No. 1 (2018): pp. 109-133.

Abstract

The concept of sustainable development epitomizes theoretical frameworks advocating in favor of at least maintaining the rate of development attained in the previous period. Traditionally, development was viewed from a narrow dimension that focused primarily on the development of the economy. However, with time, development has gathered emphasis from a broader perspective incorporating economic, social and environmental welfares into consideration. However, corruption is perceived to be a major factor inhibiting sustainable development all around the globe. The aim of this paper is to shed light on the corruption-sustainable development nexus from the perspective of select 47 countries across Asia, Africa and Latin America and the Caribbean (LAC). The paper attempts to estimate the elasticities of socioeconomic and environmental development indicators with regard to corruption and other macroeconomic fundamentals using annual data from 2000 to 2015. In addition, the paper also tests the Environmental Kuznets’s Curve hypothesis in a panel framework and estimates the threshold levels of income at which the environmental degradation takes place with economic growth. Panel unit root and cointegration tests are used while the Three-Stage Least Squares (3SLS) estimation technique is employed to calculate the associated elasticities. Moreover, in order to check the robustness of the relationships, Panel Vector-Error Correction Model (VECM) and Granger causality test are also considered to understand the short run and long-run causal associations between the variables. In light of the estimated results, corruption is found to have a negative relationship with socioeconomic development across the Asian, African and LAC subpanels. In addition, corruption negatively affects environmental development in the context of the Asian and African subpanels while positively affecting in context of the LAC subpanel. Moreover, the findings also suggest that the EKC hypothesis holds true only in the cases of the full panel and the LAC subpanel, with the threshold per capita GDP being around 12,000 US$ and 12,780 US$, respectively. Our paper also finds short run bidirectional causality between corruption and socioeconomic development in the context of all the countries cumulatively which did not hold to be true in the long run. Furthermore, corruption and CO2 emissions portray short bi-directional causality in context of the selected Asian economies and a unidirectional causality running from corruption to CO2 emission for all the economies as a whole.

• Item Type: MPRA Paper
• Language: English
• Keywords: Sustainable Development Goals; Corruption
• Subjects: P - Economic Systems > P4 - Other Economic Systems > P48 - Political Economy ; Legal Institutions ; Property Rights ; Natural Resources ; Energy ; Environment ; Regional Studies; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q42 - Alternative Energy Sources; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q43 - Energy and the Macroeconomy

References

ASEAN Studies Program 2016. Corruption Trends in 2016: Southeast Asia’s Governance Plight. Banoba, P 2017, ‘Sub Saharan Africa: Corruption is a Big Issue in 2016 African Elections’, Transparency International. Barro, RJ 1988, ‘Determinants of Economic Growth: A Cross-Country Empirical Study.’ Cambridge: MIT Press Books, 1998. Brookings: Washington DC. Retrieved from https://www.brookings.edu/blog/africa-in- focus/2017/03/24/figures-of- the-week- human-development- progress-in- africa-and-globally/ Campbell-Livingston, C 2017, ‘Jamaica enjoys mixed rankings on UNDP’s HD report. The Gleaner: Jamaica.’ Retrieved from http://jamaica-gleaner.com/article/news /20170323/jamaica- enjoys-mixed-rankings- undps-hd- report Copley, A 2017, Figure of the week: Human development progress in Africa and globally. D'Amico, N 2015, ‘Corruption and Economic Growth in China: An Empirical Analysis’, Senior Honors Projects: 78. Retrieved from http://collected.jcu.edu/ honorspapers/78 Delavallade, C 2006, ‘Corruption and Distribution of Public Spending in Developing Countries’, Journal of Economics and Finance, Vol. 30, No. 2, pp. 222-239. Dinda, S 2004, ‘Environmental Kuznets Curve Hypothesis: A Survey’, Ecological Economics, Vol. 49, Issue 4, pp. 431-455. Dridi, M 2014, ‘Corruption and Education: Empirical Evidence’, International Journal of Economics and Financial Issues, Vol. 4, No. 3, pp. 476-493. Engle, RF and Granger, CWJ 1987, ‘Co-integration and Error-correction: Representation, Estimation and Testing,’ Econometrica, Vol. 55, No. 2, pp. 251-276. Gupta, S, Davoodi, H and Tiongson, E 2000, ‘Corruption and Provision of Health Care and Education Services’, IMF Working Paper No. 116. Granger, CWJ 1969, ‘Investigating Causal Relations by Econometric Models and Cross-Spectral Models,’ Econometrica, Vol. 37, pp. 424-438. Ibraheem, NK, Umar, G and Ajoke, AF 2013, ‘Corruption and Economic Development: Evidence from Nigeria’, Kuwait Chapter of Arabian Journal of Business and Management Review, Vol. 3, No.2, pp. 46-56. Islam, MK 2016, ‘Democracy, Economic Growth and Global Carbon Dioxide Emission’, Unpublished Thesis. Jajkowicz, O and Drobiszova, A 2015, ‘The Effect of Corruption on Government Expenditure Allocation in OECD Countries’, Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol. 63, No. 4, pp. 1251–1259. Khemer Times 2017. Cambodia improves human development index. Liao, X, Dogan, E and Baek, J 2017, ‘Does corruption matter for the environment? Panel evidence from China’, Economics: The Open-Access, Open-Assessment E-Journal, Vol. 11, No. 27, pp. 1–12. Lučić, D, Radišić, M and Dobromirov, D 2016, ‘Causality between corruption and the level of GDP’, Economic Research-Ekonomska Istraživanja, Vol. 29, No. 1, pp. 360-379. Mikaelsson, A and Sall, S 2014, ‘Does corruption have a significant effect on economic growth? An empirical analysis examining the relationship between corruption and economic growth in developing countries’, Institute of Social Sciences Bachelor thesis, Södertörn University, Stockholm, Sweden. Murshed, M 2018, ‘Does improvement in trade openness facilitate renewable energy transition? Evidence from selected South Asian economies,’ South Asia Economic Journal, Vol. 19, Issue 2, pp. 151-170. DOI: https://doi.org/10.1177/1391561418794691 Murshed, M 2019a, ‘Are Trade Liberalization Policies aligned with Renewable Energy Transition in Low and Middle Income Countries? An Instrumental Variable Approach,’ Renewable Energy. DOI: https://doi.org/10.1016/j.renene.2019.11.106 Murshed, M 2019b, ‘A Review of the Prospects and Benefits of Smart Gridding Technology Adoption in Bangladesh's Power Sector,’ Natural Gas & Electricity, Vol. 36, Issue 3, pp. 19-28. DOI: https://doi.org/10.1002/gas.22141 Murshed, M and Ahmed, A 2018, ‘An Assessment of the Marginalizing Impact of Poor Governance on the Efficacy of Public Health Expenditure in LMICS,’ World Review of Business Research, Vol. 8, Issue 1, pp. 147-160. Liao, X, Dogan, E and Baek, J 2017, ‘Does corruption matter for the environment? Panel evidence from China’, Economics: The Open-Access, Open-Assessment E-Journal, Vol. 11, Issue 27, pp. 1-12. DOI: http://dx.doi.org/10.5018/economics-ejournal.ja.2017-27 OECD 2012. OECD Environmental Outlook 2050: The Consequences of Inaction. OECD Publishing, Paris. Olivier, JGJ, Schure, KM and Peters, JAHW 2017, ‘Trends in Global CO2 and total Greenhouse Gas Emissions’. PBL Netherlands Environmental Assessment Agency Report 2017. Ospian, AL 2012, ‘Education corruption, reform, and growth: Case of Post-Soviet Russia’, Journal of Eurasian Studies, Vol. 3, pp. 20-29. Pring, C 2017, ‘People and Corruption: Latin America and the Caribbean- Global Corruption Barometer’, Transparency International. Ramakrishnan, T 2016, ‘Sri Lanka tops in Human Development in South Asia.’ The Hindu online. Reinikka, R and Smith, N 2004, ‘Public Expenditure Tracking Surveys in Education’, UNESCO International Institute for Educational Planning, Paris. Ritchie, H and Roser, M 2017, ‘CO2 and other Greenhouse Gas Emissions.’ Published online at OurWorldData.org. Retrieved from: https://ourworldin data.org/co2-and-other-greenhouse-gas-emissions/ Sharma, SP 2012, ‘Politics and corruption mar health care in Nepal’, Lancet Vol. 375:2063–4.10.1016/S0140-6736(10)60945-2 Terziev, V and Georgiev, M 2017, ‘Importance of Human Resources to Social Development’, International Journal of Management and Applied Sciences, Vol. 3, Issue 4, pp. 29-36. The Economist 2017. Corruption remains rife in South Asia (2017, February 23). Transparency International 2014. Fighting Corruption in South Asia: Building Accountability. Transparency Internationa 2015. Corruption Perceptions Index. Transparency International 2016a. Corruption Perceptions Index. Transparency International 2016b. Corruption on the Rise in Latin America and the Caribbean. UNDP 2016a. Human Development for Everyone. UNDP 2016b. Human Development Index. UNDP 2017. Bangladesh improves in Human Development Index. United Nations 2016. Measuring Corruption in Africa: The International Dimension Matters. African Governance Report IV. Ünver, M and Koyuncu, JY 2017, ‘Do Corrupt Countries Emit more CO2: Panel Evidence?’. Proceedings of International Balkan and Near Eastern Social Sciences Congress Series- Russe / Bulgaria, April 08-09, 2017/ Woods, R 2017. African region boost human development scores. Africa online. Retrieved from http://www.thisisafricaonline.com/News/African-region- boosts-human- development-scores?ct=true World Bank 2017. World Development Indicators. World Commission on Environment and Development 1987. Our Common Future. Oxford University Press, p. 27. Zellner, A and Theil, H 1962, ‘Three-stage Least Squares: Simultaneous Estimation of Simultaneous Equations’, Econometrica, Vol. 30, No. 1, pp. 54–78.