International Journal of Sustainable Development & World Policy

Published by: Conscientia Beam
Online ISSN: 2305-705X
Print ISSN: 2306-9929
Quick Submission    Login/Submit/Track

No. 1

Developing a Conceptual Model for Antecedents of Resistance to Change towards Sustainable Construction Practices

Pages: 72-90
Find References

Finding References


Developing a Conceptual Model for Antecedents of Resistance to Change towards Sustainable Construction Practices

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

DOI: 10.18488/journal.26.2020.91.72.90

Peter Uchenna Okoye , Isaac Abiodun Odesola

Export to    BibTeX   |   EndNote   |   RIS


No any video found for this article.
Peter Uchenna Okoye , Isaac Abiodun Odesola (2020). Developing a Conceptual Model for Antecedents of Resistance to Change towards Sustainable Construction Practices. International Journal of Sustainable Development & World Policy, 9(1): 72-90. DOI: 10.18488/journal.26.2020.91.72.90
This study developed a conceptual model of antecedents of resistance to change behaviours among construction professionals and contractors towards sustainable construction practices in Nigeria. Survey data gathered through a questionnaire were analysed with the aid of Statistical Package for the Social Science (SPSS) Software. Pearson Product Moment Correlation (r) and correlation significance test results revealed that human (r=0.973; p<.05), industry (r=0.996; p<.05), environment (r=0.984; p<.05), and policy (r=0.932; p<.05) factors were very strongly positively associated with resistance to change behaviours. Subsequently, a conceptual model of antecedents of resistance to change behaviours towards sustainable construction practices in Nigeria was empirically established. The correlation coefficient of determination result revealed that the direct effects of the conceptual model accounted for 94.67% of the variance in human factors, 99.20% of the variance in industry factors, 96.83% of the variance in environment factors, and 86.86% of the variance in policy factors. This suggested that professionals and contractors’ responses to change and resistance to change behaviours are accounting for a substantial proportion of the variance in any effort towards implementation of sustainable construction practices in Nigeria. Furthermore, this study highlighted the importance of multi-dimensionality of resistance to change and suggested that construction stakeholders should take note of these factors instead of general assumption where people tend to make judgments, based on observable behaviours. Finally, it recommended for rejuvenation of construction industry policies and integration of these factors that trigger behavioural resistance by the professionals and contractors in the sustainable construction practices policy intervention in Nigeria.
Contribution/ Originality
This study contributed to the emerging literature on rethinking the resistance to change behaviours of construction stakeholders from different perspectives, and particularly sustainable construction practices in Nigeria through empirical evidence based on conceptual model. It also provided theoretical support to antecedents of resistance to change behaviour towards sustainable construction practices.

Determinant of Tax Revenue Effort in Sub-Saharan African Countries: A Stochastic Frontier Analysis

Pages: 47-71
Find References

Finding References


Determinant of Tax Revenue Effort in Sub-Saharan African Countries: A Stochastic Frontier Analysis

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

DOI: 10.18488/journal.26.2020.91.47.71

Agumas Alamirew Mebratu , Fentaw Leykun , Merouane Lakehal-Ayat

Export to    BibTeX   |   EndNote   |   RIS

Addison, T., & Levin, J. (2012). The determinants of tax revenue in Sub-Saharan Africa.

AfDB. (2010a). Domestic resource mobilization for poverty reduction in East Africa: Lessons for tax policy and administration. Tunis: The Knowledge and Information Centre, African Development Bank.

Agbeyegbe, T. (2004). Trade liberalization, exchange rate changes, and tax revenue in Sub-Saharan Africa Terence Agbeyegbe. Janet Stotsky b and Asegedech WoldeMariam b Department of Economics, Hunter College, City University of NY, NY b International Monetary Fund, Washington DC.

Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37.Available at: https://doi.org/10.1016/0304-4076(77)90052-5.

Ali, A. M., & Isse, H. S. (2006). An empirical analysis of the determinants of foreign aid: A panel approach. International Advances in Economic Research, 12(2), 241-250.Available at: https://doi.org/10.1007/s11294-006-9016-4.

Audibert, M., Combes, P. M., & Drabo, A. (2012). Global burden of disease and economic growth. 12, Halshs-00678713.

Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325-332.Available at: https://doi.org/10.1007/bf01205442.

Bird, R. M. (2007). Is a State VAT the answer? What's the question? Fiscal Research Center of the Andrew Young School of Policy Studies.

Bird, R. M., Martinez-Vazquez, J., & Torgler, B. (2008). Tax effort in developing countries and high income countries: The impact of corruption, voice and accountability. Economic Analysis and Policy, 38(1), 55-71.Available at: https://doi.org/10.1016/s0313-5926(08)50006-3.

Bird, R. M., Jorge, M.-V., & Benno, T. (2004). Societal institutions and tax efforts in developing countries. Andrew young school of policy studies. Georgia, Atlanta: Georgia State University.

Botlhole, T. D. (2010). Tax effort and the determinants of tax ratio in Sub-Sahara Africa. Paper presented at the In International Conference on Applied Economics-ICOAE.

Brun, J. F., & Diakite, M. (2016). Tax potential and tax effort: An empirical estimation for non-resource tax revenue and VAT's revenue. Studies and Documents, No. 10, CERDI.

Castaneda, L. C., & Pardinas, J. (2012). Sub-national revenue mobilization in Mexico. IDB Working Paper Series, No. IDB-WP-354, Inter-American Development Bank (IDB), Washington, DC.

Cheeseman, N., & Griffiths, R. (2005). Increasing tax revenue in Sub-Saharan Africa: The case of Kenya. OCGG Economy Analysis, 6.

Chelliah, R. J. (1971). Trends in taxation in developing countries. IMF Staff Papers, 18(2), 254-331.

Clark, T. S., & Linzer, D. A. (2015). Should i use fixed or random effects? Political Science Research and Methods, 3(2), 399-408.

Cyan, M., Martinez-Vazquez, J., & Vulovic, V. (2013). Measuring tax effort: Does the estimation approach matter and should effort be linked to expenditure goals? International Center for Public Policy Working Paper 13-08 April 2013.

Drummond, P., Daal, W., Srivastava, N., & Oliveira, L. E. (2012). Mobilizing revenue in Sub-Saharan Africa: Empirical norms and key determinants. IMF Working Paper WP/12/108.

Eltony, M. N. (2002). Measuring tax effort in Arab countries (Economic Research Forum for the Arab Countrie): Iran & Turkey.

Eshag, E. (1983). Fiscal and monetary policies and problems in developing countries. Cambridge: Cambridge University Press.

Gerardo, C. Á., & Diana, C. B. R. (2014). Determinants of tax revenue in OECD countries over the period 2001–2011. Contaduría y Ddministración, 59(3), 35-59.Available at: https://doi.org/10.1016/s0186-1042(14)71265-3.

Ghura, D. (1998). Tax revenue in Sub Saharan Policies and corruption. International Monetary Working Paper 98/135.

Gillis, M. (1989). Tax reform in developing countries (Vol. 1): Duke University Press.

Gupta, A. S. (2007). Determinants of tax countries. IMF Working Paper, No: WP/07/184.

Gupta., S., Benedict, C., & Alexender, P. (2004). Foreign aid and revenue response: Does Gupta, Clements, and Gabriela Inchauste (eds.) Helping of Fiscal Policy. Washington, DC: International Monetary Fund.

Hermann, Y. D., & Michaël, G. (2017). Reassessing tax effort in developing countries: a proposal of a vulnerability-adjusted tax effort index (VATEI). FERDI Development Indicator Working Paper, 186.

Javid, A. Y., & Arif, U. (2012). Analysis of revenue potential and revenue effort in developing Asian Countries. Pakistan Development Review, 51(4), 365-379.Available at: https://doi.org/10.30541/v51i4iipp.365-380.

Keen, M., & Alejandro, S. (2004). Tax policy in developing countries: Some lessons from the 1990s and Some Challenges Ahead. In Sanjeev Gupta, Benedict Clements, and Gabriela Inchauste (ed.) Helping countries develop. Washington, DC: The Role of Fiscal Policy.

Khwaja, M. S., & Iyer, I. (2014). Revenue potential, tax space, and tax gap: A comparative analysis. The World Bank.

Kumbhakar, S. C., Lien, G., & Hardaker, J. B. (2014). Technical efficiency in competing panel data models: A study of Norwegian grain farming. Journal of Productivity Analysis, 41(2), 321-337.Available at: https://doi.org/10.1007/s11123-012-0303-1.

Langford, B., & Ohlenburg, T. (2015). Tax revenue potential and effort. International Growth Centre Working Paper. 2015. Retrieved from: https://www. theigc. Org/wp-content/uploads/2016/01/Langford-Ohlenburg-2016-Working-paper. pdf.

Le, T. M., Blanca, M.-D., & Je, R. (2008). Expanding taxable capacity and reaching revenue potential: Cross-country analysis. Policy Research Working Paper. World Bank.

Lee, L.-F. (1983). A test for distributional assumptions for the Stochastic frontier functions. Journal of Econometrics, 22(2), 245-267.

Leuthold, J. H. (1991). Tax shares in developing economies a panel study. Journal of development Economics, 35(1), 173-185.Available at: https://doi.org/10.1016/0304-3878(91)90072-4.

Lotz, J. R., & Morss, E. R. (1970). A theory of tax level determinants for developing countries. Economic Development and Cultural Change, 18(3), 328-341.Available at: https://doi.org/10.1086/450436.

Mawejje, J., & Sebudde, R. K. (2019). Tax revenue potential and effort: Worldwide estimates using a new dataset. Economic Analysis and Policy, 63, 119-129.Available at: https://doi.org/10.1016/j.eap.2019.05.005.

Mbatia, C. N. (2018). Effect of foreign aid dependency on taxation revenue in Sub-Saharan Africa. Doctoral Dissertation, University of Cape Town.  

Meeusen, W., & Broeck, J. V. D. (1977). Efficiency estimation from cobb-douglas production functions with composed error. International Economic Review, 18(2), 435-444.Available at: https://doi.org/10.2307/2525964.

Ndiaye, M. B. O., & Korsu, R. D. (2014). Tax effort in ECOWAS countries. In: Seck D. (Eds) regional economic integration in West Africa. Advances in African Economic, social and political development. Cham: Springer.

Pessino, C., & Fenochietto, R. (2010). Determining countries' tax effort. Spanish Public Treasury / Magazine of Public Economy, 195(4), 65-87.

Pessino, C., & Fenochietto, R. (2013). Understanding countries' tax effort. Washington: International Monetary Fund.

Rodrik, D. (1998). Why do more open economies have bigger governments? Journal of Political Economy, 106(5), 997-103.

Stotsky, J. G., & Asegedech, W. (1997). Tax effort in Sub Saharan Africa. International Monetary Fund. Working Paper, 97.

Tanzi. (1992). Structural factors and tax revenue in developing countries: A decade of evidence. I. Goldin and L. A. Winters, open economies: Structural adjustment and agriculture (pp. 267-281). Cambridge: Cambridge University Press.

Teera, J. M., & Hudson, J. (2004). Tax performance: A comparative study. Journal of International Development, 16(6), 785-802.

No any video found for this article.
Agumas Alamirew Mebratu , Fentaw Leykun , Merouane Lakehal-Ayat (2020). Determinant of Tax Revenue Effort in Sub-Saharan African Countries: A Stochastic Frontier Analysis. International Journal of Sustainable Development & World Policy, 9(1): 47-71. DOI: 10.18488/journal.26.2020.91.47.71
The main objective of this paper was empirically examined the trend and its drivers of tax revenue effort in Sub- Saharan African countries using panel data and stochastic frontier analysis techniques inter alia:- random effect, fixed effect, half-normal, exponential-normal, and truncated-normal analysis for a period of 2000 to 2018. The estimation result shows that tax effort is positively and significantly related to openness, Share of agriculture sector, external debt, share of the construction sector, population growth, age dependency, corruption and GDP per capita and negatively and significantly related with a share of the service sector, official development assistance, foreign direct investment, population density, literacy and official exchange rates. In general, depending on the choice of analysis technique, both supply- side factors and demand - side factors are highly affected tax revenue effort and before designing tax policy, therefore, those concerned bodies be going to first determine their tax revenue effort.
Contribution/ Originality
This study uses the new estimation methodology of stochastic frontier analysis to examine tax revenue effort in 23 Sub-Saharan African countries over 19 year’s panel data set from 2000-2018 and the paper's primary contribution finding is that economic, demographic, policy and institutional factors have a significant effect on tax revenue effort.

Investigating the Environmental Effects of Economic Growth in African Economies

Pages: 26-46
Find References

Finding References


Investigating the Environmental Effects of Economic Growth in African Economies

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

DOI: 10.18488/journal.26.2020.91.26.46

Joshua Clifford Kofi Amissah , Samuel Attuquaye Clottey

Export to    BibTeX   |   EndNote   |   RIS

Adu, D. T., & Denkyirah, E. K. (2019). Economic growth and environmental pollution in West Africa: Testing the Environmental Kuznets Curve hypothesis. Kasetsart Journal of Social Sciences, 40(2), 281-288.

Afzal, M., Farooq, M. S., Ahmad, H. K., Begum, I., & Quddus, M. A. (2010). Relationship between school education and economic growth in Pakistan: ARDL bounds testing approach to cointegration. Pakistan Economic and Social Review, 48(1), 39-60.

Al-Mulali, U. (2014). Investigating the impact of nuclear energy consumption on GDP growth and CO2 emission: A panel data analysis. Progress in Nuclear Energy, 73, 172-178.Available at: https://doi.org/10.1016/j.pnucene.2014.02.002.

Al-Mulali, U., Sab, C. N. B. C., & Fereidouni, H. G. (2012). Exploring the bi-directional long-run relationship between urbanization, energy consumption, and carbon dioxide emission. Energy, 46(1), 156-167.Available at: https://doi.org/10.1016/j.energy.2012.08.043.

Apergis, N., & Payne, J. E. (2009). CO2 emissions, energy usage, and output in Central America. Energy Policy, 37(8), 3282-3286.Available at: https://doi.org/10.1016/j.enpol.2009.03.048.

Atasoy, B. S. (2017). Testing the environmental Kuznets curve hypothesis across the US: Evidence from panel mean group estimators. Renewable and Sustainable Energy Reviews, 77, 731-747.Available at: https://doi.org/10.1016/j.rser.2017.04.050.

Boamah, K. B., Du, J., Bediako, I. A., Boamah, A. J., Abdul-Rasheed, A. A., & Owusu, S. M. (2017). Carbon dioxide emission and economic growth of China—the role of international trade. Environmental Science and Pollution Research, 24(14), 13049-13067.Available at: https://doi.org/10.1007/s11356-017-8955-z.

Bölük, G., & Mert, M. (2014). Fossil & renewable energy consumption, GHGs (greenhouse gases) and economic growth: Evidence from a panel of EU (European Union) countries. Energy, 74, 439-446.Available at: https://doi.org/10.1016/j.energy.2014.07.008.

Breitung, J. (2005). A parametric approach to the estimation of cointegration vectors in panel data. Econometric Reviews, 24(2), 151-173.Available at: https://doi.org/10.1081/etc-200067895.

Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.Available at: https://doi.org/10.2307/2297111.

Chou, M. C. (2013). Does tourism development promote economic growth in transition countries? A Panel Data Analysis. Economic Modeling, 33, 226-232.Available at: https://doi.org/10.1016/j.econmod.2013.04.024.

Dao, M. Q. (2012). Population and economic growth in developing countries. International Journal of Academic Research in Business and Social Sciences, 2(1), 6-17.

Das Neves Almeida, T. A., Cruz, L., Barata, E., & García-Sánchez, I.-M. (2017). Economic growth and environmental impacts: An analysis based on a composite index of environmental damage. Ecological Indicators, 76, 119-130.Available at: https://doi.org/10.1016/j.ecolind.2016.12.028.

Dogan, E., & Aslan, A. (2017). Exploring the relationship among CO2 emissions, real GDP, energy consumption and tourism in the EU and candidate countries: Evidence from panel models robust to heterogeneity and cross-sectional dependence. Renewable and Sustainable Energy Reviews, 77(C), 239-245.

Dogan, E., Seker, F., & Bulbul, S. (2017). Investigating the impacts of energy consumption, real GDP, tourism and trade on CO2 emissions by accounting for cross-sectional dependence: A panel study of OECD countries. Current Issues in Tourism, 20(16), 1701-1719.Available at: 10.1080/13683500.2015.1119103.

Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018). CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions. Energy Economics, 75, 180-192.Available at: https://doi.org/10.1016/j.eneco.2018.08.017.

Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modeling, 29(4), 1450-1460.Available at: https://doi.org/10.1016/j.econmod.2012.02.014.

Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438.Available at: 2307/1912791.

Grossman, G. M., & Krueger, A. B. (1991). Environmental impacts of a North American free-trade agreement (No.W3914). National Bureau of Economic Research.

Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. The Quarterly Journal of Economics, 110(2), 353-377.

Gunby, P., Jin, Y., & Reed, W. R. (2017). Did FDI really cause Chinese economic growth? A meta-analysis. World Development, 90, 242-255.Available at: https://doi.org/10.1016/j.worlddev.2016.10.001.

He, J., & Richard, P. (2010). Environmental Kuznets curve for CO2 in Canada. Ecological Economics, 69(5), 1083-1093.Available at: https://doi.org/10.1016/j.ecolecon.2009.11.030.

Hu, H., Xie, N., Fang, D., & Zhang, X. (2018). The role of renewable energy consumption and commercial services trade in carbon dioxide reduction: Evidence from 25 developing countries. Applied Energy, 211, 1229-1244.Available at: https://doi.org/10.1016/j.apenergy.2017.12.019.

Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74.Available at: https://doi.org/10.1016/s0304-4076(03)00092-7.

IPCC. (2007). Climate change: Synthesis Report (pp. 104). Contribution of Working Groups I, II, and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, Switzerland.

Jaffe, A. B., Newell, R. G., & Stavins, R. N. (2005). A tale of two market failures: Technology and environmental policy. Ecological Economics, 54(2-3), 164-174.Available at: https://doi.org/10.1016/j.ecolecon.2004.12.027.

Jin, L., Duan, K., Shi, C., & Ju, X. (2017). The impact of technological progress in the energy sector on carbon emissions: An empirical analysis from China. International Journal of Environmental Research and Public Health, 14(12), 1-14.Available at: https://doi.org/10.3390/ijerph14121505.

Kahouli, B. (2017). The short and long run causality relationship among economic growth, energy consumption and financial development: Evidence from South Mediterranean Countries (SMCs). Energy Economics, 68, 19-30.Available at: https://doi.org/10.1016/j.eneco.2017.09.013.

Kaika, D., & Zervas, E. (2011). Searching for an environmental Kuznets Curve (EKC)-pattern for CO2 emissions. In Recent Researches in Energy, Environment, and Landscape Architecture;(LA'II) (pp. 19-24). WSEAS Press: Athens, Greece.

Kapetanios, G., Pesaran, M. H., & Yamagata, T. (2011). Panels with non-stationary multifactor error structures. Journal of Econometrics, 160(2), 326-348.Available at: https://doi.org/10.1016/j.jeconom.2010.10.001.

Koçak, E., & Sarkgüneşi, A. (2018). The impact of foreign direct investment on CO 2 emissions in Turkey: New evidence from cointegration and bootstrap causality analysis. Environmental Science and Pollution Research, 25(1), 790-804.Available at: https://doi.org/10.1007/s11356-017-0468-2.

Kuznets, S. (1955). Economic growth and income inequality. The American Economic Review, 45(1), 1-28.

Madlener, R., & Sunak, Y. (2011). Impacts of urbanization on urban structures and energy demand: What can we learn for urban energy planning and urbanization management? Sustainable Cities and Society, 1(1), 45-53.Available at: https://doi.org/10.1016/j.scs.2010.08.006.

Martínez-Zarzoso, I., & Maruotti, A. (2011). The impact of urbanization on CO2 emissions: Evidence from developing countries. Ecological Economics, 70(7), 1344-1353.Available at: https://doi.org/10.1016/j.ecolecon.2011.02.009.

Mensah, C. N., Long, X., Boamah, K. B., Bediako, I. A., Dauda, L., & Salman, M. (2018). The effect of innovation on CO 2 emissions of OCED countries from 1990 to 2014. Environmental Science and Pollution Research, 25(29), 29678-29698.Available at: https://doi.org/10.1007/s11356-018-2968-0.

Mensah, I. A., Sun, M., Gao, C., Omari-Sasu, A. Y., Zhu, D., Ampimah, B. C., & Quarcoo, A. (2019). Analysis of the nexus of economic growth, fossil fuel energy consumption, CO2 emissions, and oil price in Africa based on a PMG panel ARDL approach. Journal of Cleaner Production, 228, 161-174.Available at: https://doi.org/10.1016/j.jclepro.2019.04.281.

Omri, A. (2013). CO2 emissions, energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models. Energy Economics, 40, 657-664.Available at: https://doi.org/10.1016/j.eneco.2013.09.003.

Ozturk, I., Aslan, A., & Kalyoncu, H. (2010). Energy consumption and economic growth relationship: Evidence from panel data for low and middle income countries. Energy Policy, 38(8), 4422-4428.Available at: https://doi.org/10.1016/j.enpol.2010.03.071.

Panayotou, T. (1993). Empirical tests and policy analysis of environmental degradation at different stages of economic development. World Employment Programme Research Working Paper WEP 2-22/WP 238 (International Labour Office, Geneva).

Parikh, J., & Shukla, V. (1995). Urbanization, energy use and greenhouse effects in economic development: Results from a cross-national study of developing countries. Global Environmental Change, 5(2), 87-103.Available at: https://doi.org/10.1016/0959-3780(95)00015-g.

Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93.Available at: https://doi.org/10.1016/j.jeconom.2007.05.010.

Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265-312.Available at: https://doi.org/10.1002/jae.951.

Pesaran, M. H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79-113.Available at: https://doi.org/10.1016/0304-4076(94)01644-F.

Pesaran...., M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967-1012.Available at: https://doi.org/10.1111/j.1468-0262.2006.00692.x.

Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper Series No. 1229, IZA Discussion Paper No. 1240. Retrieved from SSRN: http://ssrn.com/abstract=572504 .

Phillips, P., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.Available at: https://doi.org/10.1093/biomet/75.2.335.

Policy, U. N. E. C. F. E. C. O. E. (2008). ECE/CEP/142: United Nations Publications.

Poumanyvong, P., & Kaneko, S. (2010). Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis. Ecological Economics, 70(2), 434-444.Available at: https://doi.org/10.1016/j.ecolecon.2010.09.029.

Rafiq, S., Salim, R., & Nielsen, I. (2016). Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies. Energy Economics, 56, 20-28.Available at: https://doi.org/10.1016/j.eneco.2016.02.007.

Sadorsky, P. (2014). The effect of urbanization on CO2 emissions in emerging economies. Energy Economics, 41, 147-153.Available at: https://doi.org/10.1016/j.eneco.2013.11.007.

Samargandi, N. (2017). Sector value addition, technology and CO2 emissions in Saudi Arabia. Renewable and Sustainable Energy Reviews, 78, 868-877.Available at: https://doi.org/10.1016/j.rser.2017.04.056.

Sanglimsuwan, K. (2011). Carbon dioxide emissions and economic growth: An econometric analysis. International Research Journal of Finance and Economics, 67(1), 97-102.

Shafik, N., & Bandyopadhyay, S. (1992). Economic growth and environmental quality: Time-series and cross-country evidence. Washington DC: World Bank Policy Research Working Paper WPS904.

Shahbaz, M., Loganathan, N., Muzaffar, A. T., Ahmed, K., & Jabran, M. A. (2016). How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model. Renewable and Sustainable Energy Reviews, 57, 83-93.Available at: https://doi.org/10.1016/j.rser.2015.12.096.

Shao, Y. (2018). Does FDI affect carbon intensity? New evidence from dynamic panel analysis. International Journal of Climate Change Strategies and Management, 10(1), 27-42.Available at: https://doi.org/10.1108/ijccsm-03-2017-0062.

Sharma, R., & Joshi, P. (2013). Monitoring urban landscape dynamics over Delhi (India) using remote sensing (1998–2011) inputs. Journal of the Indian Society of Remote Sensing, 41(3), 641-650.Available at: https://doi.org/10.1007/s12524-012-0248-x.

Shi, A. (2003). The impact of population pressure on global carbon dioxide emissions, 1975–1996: evidence from pooled cross-country data. Ecological Economics, 44(1), 29-42.Available at: https://doi.org/10.1016/s0921-8009(02)00223-9.

Soytas, U., Sari, R., & Ewing, B. T. (2007). Energy consumption, income, and carbon emissions in the United States. Ecological Economics, 62(3-4), 482-489.Available at: https://doi.org/10.1016/j.ecolecon.2006.07.009.

Ssali, M. W., Du, J., Mensah, I. A., & Hongo, D. O. (2019). Investigating the nexus among environmental pollution, economic growth, energy use, and foreign direct investment in 6 selected sub-Saharan African countries. Environmental Science and Pollution Research, 26(11), 11245-11260.Available at: https://doi.org/10.1007/s11356-019-04455-0.

Sulemana, I., James, H. S., & Rikoon, J. S. (2017). Environmental Kuznets Curves for air pollution in African and developed countries: Exploring turning point incomes and the role of democracy. Journal of Environmental Economics and Policy, 6(2), 134-152.Available at: https://doi.org/10.1080/21606544.2016.1231635.

Sun, H., Attuquaye, C. S., Geng, Y., Fang, K., & Clifford, K. A. J. (2019). Trade openness and carbon emissions: Evidence from belt and road countries. Sustainability, 11(9), 1-20.Available at: https://doi.org/10.3390/su11092682.

Wang, C., Wang, F., Zhang, X., Yang, Y., Su, Y., Ye, Y., & Zhang, H. (2017). Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang. Renewable and Sustainable Energy Reviews, 67, 51-61.Available at: https://doi.org/10.1016/j.rser.2016.09.006.

Wang, S., Zhou, D., Zhou, P., & Wang, Q. (2011). CO2 emissions, energy consumption and economic growth in China: A panel data analysis. Energy Policy, 39(9), 4870-4875.Available at: https://doi.org/10.1016/j.enpol.2011.06.032.

Wang, Y., Li, L., Kubota, J., Han, R., Zhu, X., & Lu, G. (2016). Does urbanization lead to more carbon emission? Evidence from a panel of BRICS countries. Applied Energy, 168, 375-380.Available at: https://doi.org/10.1016/j.apenergy.2016.01.105.

Westerlund, J., & Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics Letters, 97(3), 185-190.Available at: https://doi.org/10.1016/j.econlet.2007.03.003.

Zaman, K., Shahbaz, M., Loganathan, N., & Raza, S. A. (2016). Tourism development, energy consumption and Environmental Kuznets Curve: Trivariate analysis in the panel of developed and developing countries. Tourism Management, 54, 275-283.Available at: https://doi.org/10.1016/j.tourman.2015.12.001.

Zeng, K., & Eastin, J. (2012). Do developing countries invest up? The environmental effects of foreign direct investment from less-developed countries. World Development, 40(11), 2221-2233.Available at: https://doi.org/10.1016/j.worlddev.2012.03.008.

Zhang, Y.-J., Yi, W.-C., & Li, B.-W. (2015). The impact of urbanization on carbon emission: Empirical evidence in Beijing. Energy Procedia, 75, 2963-2968.Available at: https://doi.org/10.1016/j.egypro.2015.07.601.

No any video found for this article.
Joshua Clifford Kofi Amissah , Samuel Attuquaye Clottey (2020). Investigating the Environmental Effects of Economic Growth in African Economies. International Journal of Sustainable Development & World Policy, 9(1): 26-46. DOI: 10.18488/journal.26.2020.91.26.46
Sustainable green environment, green innovation, and low-carbon economy are the top priorities of governments and global climate institutions. Indeed, the link between economic growth and environmental sustainability has been commonly discussed in the literature, with different outcomes. This paper endeavors to partly fill the research gap by using recent panel estimators to explore the long-run cointegration nexus between economic growth, trade openness, energy consumption, urbanization, and CO2 emissions (pollution). In terms of decision making, we further grouped the specified 25 newly emerging African nations into oil-exporting and non-oil exporting economies. The data collected are annual and cover the period from 1990 to 2015. The panel cross-sectional dependency and homogeneity results indicated that our selected variables are heavily interdependent across the various cross-sections in the long-run. Similarly, the panel unit root test and bootstrap cointegration estimates showed evidence of stationarity and long-run equilibrium connection between the chosen variables for all panels. The long-run panel estimates using the common correlated effects mean group approach shows that economic growth, energy usage, trade openness, and urbanization depicted a positive and substantial impact on long-run carbon emissions for all panels. The Dumitrescu and Hurlin non-causality results indicated a bidirectional causal relationship between income and pollution, energy consumption and pollution, urbanization, and pollution for all three panels. Likewise, except for the 25-countries panel, there was evidence of a feedback causality between trade openness and pollution. Our outcome further verified the EKC framework but with distinct threshold points for all three panels. Various policy scenarios are discussed.
Contribution/ Originality
This is one of the very few studies which have investigated the environmental effects of economic growth considering new emerging African economies. These nations were grouped into oil-exporting and non-oil exporting to enhance decision making and applying recent panel estimators while verifying the EKC framework within these economies.

State and Evolution of Public and Private Research and Development in Bulgarian Agriculture

Pages: 10-25
Find References

Finding References


State and Evolution of Public and Private Research and Development in Bulgarian Agriculture

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

DOI: 10.18488/journal.26.2020.91.10.25

Hrabrin Bachev

Export to    BibTeX   |   EndNote   |   RIS

Anandajayasekeram, P., & Gebremedhin, B. (2009). Integrating innovation systems perspective and value chain analysis in agricultural research for development: Implications and challenges. Improving Productivity and Market Success (IPMS) of Ethiopian Farmers Project Working Paper No 16, International Livestock Research Institute, Nairobi.

Antle, J. M., Jones, J. W., & Rosenzweig, C. E. (2017). Next generation agricultural system data, models and knowledge products: Introduction. Agricultural Systems, 155, 186-190.Available at: https://doi.org/10.1016/j.agsy.2016.09.003.

Bachev, H., & Labonne, M. (2000). About the organization of agrarian innovations: Publisher: INRA-ESR Montpellier.

Bachev., H., & Mihailova, M. (2019). Analysis of the state of the system of sharing of knowledge and innovations in Bulgarian Agriculture. EconPapers. Retrieved from: https://econpapers.repec.org/paper/pramprapa/94230.htm.

Bashev, H., & Mihaylova, M. (2019). State, efficiency and factors for the development of the system for knowledge sharing, innovation and digitalization in agriculture. Economics and Management of Agriculture, 64(4), 3-23.

Bashev., H., & Mihaylova, M. (2019). State and development of agrarian research and development in Bulgaria. Economics and Management of Agriculture, 64(3), 3-22.

Chartier, O., Doghmi, M., Fourcin, C., Broek, M., & Midmore, P. (2015). Investment in agricultural research in Europe: Synthesis Report. IMPRESA Project, EC 7th Framework Programme. Retrieved from: https://cordis.europa.eu/project/id/609448/reporting.

European Commission. (2018). Proposal for a regulation of the European parliament and of the council establishing rules on support for strategic plans to be drawn up by Member States under the Common agricultural policy (CAP Strategic Plans) and financed by the European Agricultural Guarantee Fund (EAGF) and by the European Agricultural Fund for Rural Development (EAFRD) and repealing Regulation (EU) No 1305/2013 of the European Parliament and of the Council and Regulation (EU) No 1307/2013 of the European Parliament and of the Council, European Commission, Brussels, 1.6.2018.

Eurostat. (2019). Variouse data. Retrieved from: https://ec.europa.eu/eurostat/home?

FAO. (2019). Communication in research and development. Fao. Retrieved from: http://www.fao.org/communication-for-development/en/ .

Mykhailova, L., Stoyanets, N., Mykhailov, A., Kharchenko, T., & Bachev, H. (2018). Sustainable development of the Ukrainian agrarian sector: perspectives and challenges. Problems and Perspectives in Management, 16(3), 28-39.Available at: https://doi.org/10.21511/ppm.16(3).2018.03.

National Statistical Institute. (2019). National Statistical Institute, various data. Retrieved from: https://infostat.nsi.bg/infostat/pages/module.jsf?x_2=12&lang=bg.

Ozçatalbas, O. (2017). Human development and research-development-extension relationships, in S. Maad (editor) Research and Development Evolving Trends and Practices - Towards Human. Institutional and Economic Sectors Growth, IntechOpen.

Touzard, J.-M., Temple, L., Faure, G., & Triomphe, B. (2015). Innovation systems and knowledge communities in the agriculture and agrifood sector: A literature review. Journal of Innovation Economics Management, 17(2), 117-142.Available at: https://doi.org/10.3917/jie.017.0117.

USDA. (2019). Agricultural research funding in the public and private sectors. USDA. Retrieved from: https://www.ers.usda.gov/data-products/agricultural-research-funding-in-the-public-and-private-sectors/ .

Virmani, S. (2013). Public-private partnership and policy reforms for effective agricultural research, Development, and Training, in G. Bhullar and N. Bhullar. Elsevier: Agricultural Sustainability.

Weißhuhn, P., Helming, K., & Ferretti, J. (2018). Research impact assessment in agriculture—A review of approaches and impact areas, Research Evaluation. 27(1), 36–42.Available at: https://doi.org/10.1093/reseval/rvx034.

World Bank. (2006). Enhancing agricultural innovation: How to go beyond the strengthening of research systems. Washington DC: The International Bank for Reconstruction and Development / The World Bank.

Hrabrin Bachev (2020). State and Evolution of Public and Private Research and Development in Bulgarian Agriculture. International Journal of Sustainable Development & World Policy, 9(1): 10-25. DOI: 10.18488/journal.26.2020.91.10.25
Despite the great theoretical and practical significance, in Bulgaria there are no comprehensive analysis of the state and evolution of agrarian research and development (ARD) activities in public and private sectors. The goal of this paper is to analyze the state and evolution of ARD in Bulgaria during the period after country’s EU accession in 2007, identify major trends in that area, make a comparison with other EU states, specify main problems, and suggest conclusions for improvement of policies during next programing period. The analysis has found out that in years of EU membership the expenditures for ARD significantly decreased absolutely and relatively as a share in the total expenditures for R&D, which indicates diminishing importance, and deteriorating financial, personnel and material potential of agrarian knowledge and innovation sector. The most important sector for ARD in the country is the government in which more than 80% of overall expenditures for ARD are invested, as distribution of expenditures and organization of R&D in major sectors differ considerably from other EU member states. ARD in the country mainly are funded by the state budget, and the importance of budget financing relatedly increases during the period, unlike trends in other EU countries.
Contribution/ Originality
This study is one of very few studies which have investigated the state and evolution of agrarian research and development activities in public and private sector in Bulgaria during country’s membership in the European Union and compare it with other member states.

Externality Effects of Sachet and Plastic Bottled Water Consumption on the Environment: Evidence from Benin City and Okada in Nigeria

Pages: 1-9
Find References

Finding References


Externality Effects of Sachet and Plastic Bottled Water Consumption on the Environment: Evidence from Benin City and Okada in Nigeria

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

DOI: 10.18488/journal.26.2020.91.1.9

Ohiomu, Sylvester , Ihensekhien, Orobosa Abraham , Ovenseri-Ogbomo, Friday Osaru

Export to    BibTeX   |   EndNote   |   RIS

Ababio, O.Y., 2005. New school Chemistry for senior secondary schools. 3rd Edn. Onitsha: African First Publishers Limited.

Adamu, S., 2009. Tackling water shortage in Kaduna. The Herald, Daily, 2(5): 12.

Adenuga, A., K. Ogujiuba and F.K. Ohuche, 2006. Sustainability of the environment and water pollution in Nigeria: Problems, management and policy options. Global Journal of Environmental Sciences, 5(1): 49-59.Available at: https://doi.org/10.4314/gjes.v5i1.2470.

Adewumi, I.K., 2006. Solid waste management in Nigeria: Efforts towards a paradigm shift from waste-to-wealth stratagems. The Fourth African Roundtable on Sustainable Consumption and Production (ARSCP-4).

Akunyili, D.N., 2003. The role of pure water and bottled water manufacturers in Nigeria. Paper Presented at the 29th Water, Engineering and Development Centre International Conference, in Abuja, Nigeria.

Andrady, A., 2003. Plastics and the environment. New Jersey: John Wiley & Sons, Inc.

Archer, E., 1997. Privatization of refuse management in Atonsu Kumasi, Ghana” Research Papers No. 7, University of Science and Technology, Kumasi and University of Amsterdam, Amsterdam.

Ayisi, D.N. and J.A. Kumi, 2018. Impact of sachet water and plastic bottle waste on Agricultural Land in Ghana, Asian Research Journal of Agriculture, 1(3): 1-10.

Babatunde, M.A. and M.I. Biala, 2010. Externality effects of sachet water consumption and the choice of policy instruments in Nigeria: Evidence from Kwara State. Journal of Economics, 1(2): 113-131.Available at: https://doi.org/10.1080/09765239.2010.11884931.

Baumol, W.J., 1972. On taxation and the control of externalities. The American Economic Review, 62(3): 307-322.

Coase, R.H., 1960. The problem of social cost. Journal of Law and Economics, 3(1): 1-44.

Cropper, M.L. and W.E. Oates, 1992. Environmental economics: A survey. Journal of Economic Literature, 30(2): 675-740.

Edoga, M., L. Onyeji and O. Oguntosin, 2008. Achieving vision 20: 2020 through waste produce candle. Journal of Engineering and Applied Sciences, 3(8): 642-646.

Gbadegesin, N. and F. Olorunfemi, 2007. Assessment of rural water supply management in selected rural areas of Oyo State. ATPS Working Paper Series No. 49.

Idiata, D., N. Agbale and K. Iguisi, 2013. Menace of sachet water waste in Benin city, Nigeria. Oriental Jour of Scient Resch, 2(1): 26-29.

Jhingan, M.L., 2003. Advanced economic theory. 12th Edn., Delhi: Vrinda Publications (P) Ltd.

Maconachie, R., 2008. Surface water quality and periurban food production in Kano, Nigeria, Urban Agriculture Magazine, No. 20, September. Retrieved March 21, 2009.

Nurnberger, K., 1999. Prosperity, poverty and pollution: Managing the approaching crisis. London: Zed Books Ltd.

Pigou, A.C., 1932. The economics of welfare. 4th Edn., London: Macmillan and Co.

Rosen, H.S., 1999. Public finance. 5th Edn., Boston: Irwin/McGraw-Hill.

Schweizer, F. and C. Annoh, 1996. The privatization of solid-waste management in Ghana. Trialog, 4(8): 50-55.

Thompson, E.A. and R. Batchelder, 1974. On taxation and the control of externalities: Comment. The American Economic Review, 64(3): 467-471.

Ohiomu, Sylvester , Ihensekhien, Orobosa Abraham , Ovenseri-Ogbomo, Friday Osaru (2020). Externality Effects of Sachet and Plastic Bottled Water Consumption on the Environment: Evidence from Benin City and Okada in Nigeria. International Journal of Sustainable Development & World Policy, 9(1): 1-9. DOI: 10.18488/journal.26.2020.91.1.9
This paper examines the public perception of the externality effects of sachet and plastic bottled water consumption in Benin City and Okada. The methodology applied to source for data involved both the qualitative and quantitative analysis, through the use of questionnaires with well-structured questions and informal personal interviews. 320 respondents were then selected from the four local government areas of Oredo, Egor, Ikpoba-Okha and Ovia North East that make up Benin City and Okada. The results of the study as indicated by majority of the various respondents revealed the absence of tap water supply. The wastes from sachet and plastic bottles constitute danger to our environment by blocking the water ways and hindering the draining system, depositing debris in the affected rivers, thereby creating negative externalities to our environment. The study also showed that the perennial flooding in Benin City and Okada could be associated with indiscriminate disposal of empty sachets and plastic bottles. The study recommends the following; local government authorities should try to provide waste bins in every street and these should be managed and monitored by their authorized agents. Private firms that are involved in sachet and plastic bottled water production should be encouraged to establish recycling plants that can recycle plastic wastes into other useful materials in line with renewable energy mandate. Government should properly enforce the laws against indiscriminate disposal of wastes, where offenders are punished in order to maintain proper disposal of wastes in Benin City and the entire states of the Federation.
Contribution/ Originality
This study contributes in the existing literature on environment climate change action on the SDGs. The paper's primary contribution is finding that wastes from sachet and plastic bottles constitute danger to our environment by blocking the water ways and hindering the draining system, depositing debris in the affected rivers.