Spatial spillover effects of official development assistance on environmental pressure in sub-Saharan African (SSA) countries

Qiang Wang , Jiaqi Guo , Rongrong Li

Geography and Sustainability ›› 2023, Vol. 4 ›› Issue (2) : 170 -178.

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Geography and Sustainability ›› 2023, Vol. 4 ›› Issue (2) :170 -178. DOI: 10.1016/j.geosus.2023.03.004
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Spatial spillover effects of official development assistance on environmental pressure in sub-Saharan African (SSA) countries

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Abstract

Impoverished sub-Saharan Africa (SSA) is under increasing environmental pressure from global environmental changes. It is now generally accepted in academic circles that economic development in SSA countries can cause environmental pressure in other countries. However, there is research gap on the impact of economic assistance on environmental pressure in SSA countries and whether economic assistance causes spatial spillovers of environmental pressure between SSA countries. To better understand the impact of economic assistance on environmental pressures in SSA, a dynamic spatial Dubin panel model was developed. It helped us explore the spatial spillover effects of economic assistance on environmental pressures in recipient countries based on the panel data from 34 SSA countries. The results show that economic assistance had a positive stimulating effect on environmental pressures of recipient countries, which means that the degree of human disturbance to the environment has deepened. Due to the regional correlation effect, neighboring countries were saddled with environmental pressures from the target country. Moreover, environmental pressures have time inertia, which can easily produce a snowball effect. The decomposition of effects shows that the impact of economic assistance on environmental pressures is relatively minor. Environmental pressures have spillover effects, so to deal with diffuse risks, joint regional prevention and control policies should be developed.

Keywords

Official development assistance / Sub-Saharan African / Environmental pressures / Dynamic spatial Dubin panel model / Economic assistance

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Qiang Wang, Jiaqi Guo, Rongrong Li. Spatial spillover effects of official development assistance on environmental pressure in sub-Saharan African (SSA) countries. Geography and Sustainability, 2023, 4(2): 170-178 DOI:10.1016/j.geosus.2023.03.004

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Declaration of Competing Interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

The authors would like to thank the editor and the anonymous reviewers for their helpful and constructive comments that greatly improved the final version of the manuscript.

This work is supported by National Natural Science Foundation of China (Grants No. 72104246, 71874203).

References

[1]

AfDB, 2019a. African Development Bank Group-Financial Report 2018. African Development Bank.

[2]

AfDB, 2019b. The African Statistical Yearbook 2019. African Development Bank.

[3]

AfDB, 2019c. Indicators on Gender, Poverty, the Environment and Progress toward the Sustainable Development Goals in African Countries-2019. African Development Bank.

[4]

Anselin, L., 2003. Spatial econometrics. In: BaltagiB.H. (Ed.), A Companion to Theoretical Econometrics. Blackwell Publishing Ltd, pp. 310-330.

[5]

Anselin, L., Bera, A.K., 1998. Introduction to spatial econometrics. In: UllahA., GilesD.E.A. (Handbookof Applied Economic Statistics.Eds.), CRC Press, Boca Raton, pp. 237-289.

[6]

Ayanlade, A., Radeny, M., 2020. COVID-19 and food security in Sub-Saharan Africa: Implications of lockdown during agricultural planting seasons. npj Sci. Food 4 (1), 13.

[7]

Ayers, J.M., Huq, S., 2009. Supporting adaptation to climate change: What role for official development assistance? Dev. Policy Rev. 27 (6), 675-692.

[8]

Azzarri, C., Signorelli, S., 2020. Climate and poverty in Africa South of the Sahara. World Dev. 125, 104691.

[9]

Barry, J., 2007. Towards a model of green political economy: From ecological modernisation to economic security. Int. J. Green Econ. 1 (3-4), 446-464.

[10]

Birdsall, N., Kharas, H.J., Mahgoub, A., Perakis, R., 2010. Quality of Official Development Assistance Assessment. Center for Global Development, Washington, D.C.

[11]

Bowers, C.A., 2011. Let Them Eat Data:How Computers Affect Education, Cultural Diversity, and the Prospects of Ecological Sustainability. University of Georgia Press.

[12]

Charfeddine, L., Mrabet, Z., 2017. The impact of economic development and social-political factors on ecological footprint: A panel data analysis for 15 MENA countries. Renew. Sustain. Energy Rev. 76, 138-154.

[13]

Chen, F., Chen, Z., 2021. Cost of economic growth: Air pollution and health expenditure. Sci. Total Environ. 755, 142543.

[14]

Costanza, R, 2000. The dynamics of the ecological footprint concept. Ecol. Econ. 32 (3), 341-345.

[15]

Cowen, D., Smith, N., 2009. After geopolitics? From the geopolitical social to geoeconomics. Antipode 41 (1), 22-48.

[16]

Danish, U.R., Khan, S., 2019. Determinants of the ecological footprint: Role of renewable energy, natural resources, and urbanization. Sustain. Cities Soc. 54, 101996.

[17]

Destek, M.A., Sinha, A., 2020. Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic co-operation and development countries. J. Clean. Prod. 242, 118537.

[18]

Dietz, T., Rosa, E.A., York, R., 2007. Driving the human ecological footprint. Front. Ecol. Environ. 5 (1), 13-18.

[19]

Egerer, M., Fouch, N., Anderson, E.C., Clarke, M., 2020. Socio-ecological connectivity differs in magnitude and direction across urban landscapes. Sci. Rep. 10 (1), 4252.

[20]

Elhorst, J.P., 2014a. Spatial panel data models. In: ElhorstJ.P. (Ed.), Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer, pp. 37-93.

[21]

Elhorst, J.P., 2014b. Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer.

[22]

Francois, P., Rainer, I., Trebbi, F., 2015. How is power shared in Africa? Econometrica 83 (2), 465-503.

[23]

Giorcelli, M., 2019. The long-term effects of management and technology transfers. Am. Econ. Rev. 109 (1), 121-152.

[24]

Hadebe, S., Modi, A., Mabhaudhi, T., 2017. Drought tolerance and water use of cereal crops: A focus on sorghum as a food security crop in sub-Saharan Africa. J. Agron. Crop. Sci. 203 (3), 177-191.

[25]

Hassan, S.T., Baloch, M.A., Mahmood, N., Zhang, J., 2019. Linking economic growth and ecological footprint through human capital and biocapacity. Sustain. Cities Soc. 47, 101516.

[26]

Höltl, A., Trommer, S., 2013. Driver assistance systems for transport system efficiency: Influencing factors on user acceptance. J. Intell. Transport. Syst. Technol. Plann. Oper. 17 (3), 245-254.

[27]

IEA, 2016. World Energy Outlook 2016. International Energy Agency, Paris, France.

[28]

Kang, Y.-Q., Zhao, T., Yang, Y.-Y., 2016. Environmental Kuznets curve for CO2 emissions in China: A spatial panel data approach. Ecol. Indic. 63, 231-239.

[29]

Kassouri, Y., 2021. Monitoring the spatial spillover effects of urbanization on water, built-up land and ecological footprints in sub-Saharan Africa. J. Environ. Manage. 300, 113690.

[30]

Kassouri, Y., Alola, A.A., 2022. Towards unlocking sustainable land consumption in sub- Saharan Africa: Analysing spatio-temporal variation of built-up land footprint and its determinants. Land Use Policy 120, 106291.

[31]

Lam, C., Souza, P.C., 2020. Estimation and selection of spatial weight matrix in a spatial lag model. J. Bus. Econ. Stat. 38 (3), 693-710.

[32]

Le, W., Leshan, J., 2020. How eco-compensation contribute to poverty reduction: A perspective from different income group of rural households in Guizhou, China. J. Clean. Prod. 275, 122962.

[33]

LeSage, J., Pace, R.K., 2009. Introduction to Spatial Econometrics. Chapman and Hall/CRC, New York.

[34]

Li, J., Du, Y., 2021. Spatial effect of environmental regulation on green innovation efficiency: Evidence from prefectural-level cities in China. J. Clean. Prod. 286, 125032.

[35]

Li, R., Wang, Q., Liu, Y., Jiang, R., 2021. Per-capita carbon emissions in 147 countries: The effect of economic, energy, social, and trade structural changes. Sustain. Prod. Consum. 27, 1149-1164.

[36]

Li, R., Yang, T., Wang, Q., 2022. Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis. Environ. Res. 216, 114575.

[37]

O’brien, R.M., 2007. A caution regarding rules of thumb for variance inflation factors. Qual. Quant. 41 (5), 673-690.

[38]

OECD, 2020. Official Development Assistance —Definition and Coverage. https://www.oecd.org/development/financing-sustainable-development/development-finance-standards/officialdevelopmentassistancedefinition andcoverage.htm (accessed 5 July 2022).

[39]

Peng, J., Yang, Y., Liu, Y., Du, Y., Meersmans, J., Qiu, S., 2018. Linking ecosystem services and circuit theory to identify ecological security patterns. Sci. Total Environ. 644, 781-790.

[40]

Rashidi, K., Shabani, A., Saen, R.F., 2015. Using data envelopment analysis for estimating energy saving and undesirable output abatement: A case study in the Organization for Economic Co-Operation and Development (OECD) countries. J. Clean. Prod. 105, 241-252.

[41]

Rees, W., Wackernagel, M., 2008. Urban ecological footprints:Why cities cannot be sustainable —And why they are a key to sustainability. In: MarzluffJ.M., ShulenbergerE., EndlicherW., AlbertiM., BradleyG., RyanC. (Urban Ecology:Eds.), An International Perspective on the Interaction Between Humans and Nature. Springer, New York, pp. 537-555.

[42]

Rees, W.E., 2018. Ecological footprints and appropriated carrying capacity:What urban economics leaves out. In: TacoliC. (Ed.), The Earthscan Reader in Rural-Urban Linkages. Routledge, pp. 285-297.

[43]

Sachs, J.D., 2012. From millennium development goals to sustainable development goals. Lancet 379 (9832), 2206-2211.

[44]

Schlenker, W., Lobell, D.B., 2010. Robust negative impacts of climate change on African agriculture. Environ. Res. Lett. 5 (1), 014010.

[45]

Serdeczny, O., Adams, S., Baarsch, F., Coumou, D., Robinson, A., Hare, W., Schaeffer, M., Perrette, M., Reinhardt, J., 2017. Climate change impacts in Sub-Saharan Africa: From physical changes to their social repercussions. Reg. Environ. Change 17 (6), 1585-1600.

[46]

Shao, Q., Wang, X., Zhou, Q., Balogh, L., 2019. Pollution haven hypothesis revisited: A comparison of the BRICS and MINT countries based on VECM approach. J. Clean. Prod. 227, 724-738.

[47]

Shao, S., Yang, L., Gan, C., Cao, J., Geng, Y., Guan, D., 2016. Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China). Renew. Sustain. Energy Rev. 55, 516-536.

[48]

Thirlwall, A.P., 1994. Growth and Development:With Special Reference to Developing Economies, fifth ed.ed. The Macmillan Press Ltd., Houndmills, Basingstoke, Hampshire.

[49]

Udemba, E.N., 2020. A sustainable study of economic growth and development amidst ecological footprint: New insight from Nigerian Perspective. Sci. Total Environ. 732, 139270.

[50]

Ulucak, R., Khan, S.U.-D.J., 2020. Determinants of the ecological footprint: Role of renewable energy, natural resources, and urbanization. Sustain. Cities Soc. 54, 101996.

[51]

Wang, P., Wolf, S.A., Lassoie, J.P., Poe, G.L., Morreale, S.J., Su, X., Dong, S., 2016. Promise and reality of market-based environmental policy in China: Empirical analyses of the ecological restoration program on the Qinghai-Tibetan Plateau. Glob. Environ. Change 39, 35-44.

[52]

Wackernagel, M., Rees, W., 1998. Our Ecological Footprint: Reducing Human Impact on the Earth. New Society Publishers.

[53]

Wang, Q., Guo, J., Li, R., 2022. Official development assistance and carbon emissions of recipient countries: A dynamic panel threshold analysis for low- and lower-middle-income countries. Sustain. Prod. Consum. 29, 158-170.

[54]

Wang, Q., Wang, L., Li, R., 2023a. Trade protectionism jeopardizes carbon neutrality- Decoupling and breakpoints roles of trade openness. Sustain. Prod. Consum. 35, 201-215.

[55]

Wang, Q., Zhang, F., Li, R., 2023b. Revisiting the environmental kuznets curve hypothesis in 208 counties: The roles of trade openness, human capital, renewable energy and natural resource rent. Environ. Res. 216, 114637.

[56]

Wang, Q., Yang, T., Li, R., 2023c. Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis. Environ. Res. 216, 114575.

[57]

Wang, S., Wu, M., Hu, M., Fan, C., Wang, T., Xia, B., 2021. Promoting landscape connectivity of highly urbanized area: An ecological network approach. Ecol. Indic. 125, 107487.

[58]

World, Bank, 2018. Poverty and Shared Prosperity 2018: Piecing Together the Poverty Puzzle. World Bank Group.

[59]

Wilson, D.J., 2009. Beggar thy neighbor? The in-state, out-of-state, and aggregate effects of R&D tax credits. Rev. Econ. Stat. 91 (2), 431-436.

[60]

World, Bank, 2021. World Development Indicators: Access to Electricity (% of Population). World Bank Group.

[61]

Xie, Z., Li, X., Chi, Y., Jiang, D., Zhang, Y., Ma, Y., Chen, S., 2021. Ecosystem service value decreases more rapidly under the dual pressures of land use change and ecological vulnerability: A case study in Zhujiajian Island. Ocean Coast. Manage. 201, 105493.

[62]

Zhang, H., Liu, Z., Zhang, Y.-J., 2022. Assessing the economic and environmental effects of environmental regulation in China: The dynamic and spatial perspectives. J. Clean. Prod. 334, 130256.

[63]

Zhou, Y., Kong, Y., Sha, J., Wang, H., 2019. The role of industrial structure upgrades in eco-efficiency evolution: Spatial correlation and spillover effects. Sci. Total Environ. 687, 1327-1336.

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