Articles
Bridging the Sustainable Development Funding Gap: A Crowdfunding Approach
Bridging the Sustainable Development Funding Gap: A Crowdfunding Approach. (2025). Journal of Balkan Economies and Management, 1(2), 7-81. https://doi.org/10.51331/bemA05
This research investigates the nuanced role of crowdfunding in bridging the Sustainable Development Goals (SDGs) funding gap. Employing panel data and quantile regression, we move beyond aggregate analysis to examine the heterogeneous impact of crowdfunding on poverty reduction, economic growth, renewable energy, energy intensity, and climate action across countries with varying income levels. Our findings, robust to a battery of econometric tests, reveal that crowdfunding's effectiveness is fundamentally contingent on development stage. While crowdfunding demonstrably contributes to poverty reduction in high-income countries and fosters economic growth in middle- and lower-income nations, it paradoxically associates with increased poverty in the poorest countries and impedes renewable energy adoption in middle-income economies. These starkly heterogeneous effects, often obscured by traditional analysis, underscore the imperative for tailored policy frameworks. Specifically, we argue that maximizing crowdfunding's potential for sustainable development necessitates a shift from universal prescriptions to context-specific interventions that address distributional challenges and promote sustainable investments.
Acemoglu, D., & Robinson, J. A. (2012). Why nations fail: The origins of power, prosperity, and poverty. Crown Business.
Acemoglu, D., Gallego, F. A., & Robinson, J. A. (2014). Institutions, human capital, and development. Journal of Economic Growth, 19(3), 259-309.
Alfaro, L., Chanda, A., Kalemli-Ozcan, S., & Sayek, S. (2004). FDI and economic growth: The role of local financial markets. Journal of International Economics, 64(1), 89-112.
Anderson, D. R., & McFarlane, R. E. (2015). Time series analysis and forecasting with SAS/ETS. SAS Institute.
Angrist, J. D., & Pischke, J. S. (2009). Mostly harmless econometrics: An empiricist's companion. Princeton University Press.
Banerjee, A. V., & Duflo, E. (2011). Poor economics: A radical rethinking of the way to fight global poverty. PublicAffairs.
Belleflamme, P., Lambert, T., & Schwienbacher, A. (2014). Crowdfunding: Tapping the right crowd. Journal of Business Venturing, 29(5), 585-609.
Blanchard, O., & Wolfers, J. (2000). The role of shocks and institutions in the rise of European unemployment: The aggregate evidence. The Economic Journal, 110(462), C1-C33.
Borensztein, E., De Gregorio, J., & Lee, J. W. (1998). How does foreign direct investment affect economic growth? Journal of International Economics, 45(1), 115-135.
Brunnschweiler, C. N. (2010). Finance for renewable energy: An empirical analysis of developing and transition economies. Environment and Development Economics, 15(3), 241-274.
Buchinsky, M. (1994). Changes in the U.S. wage structure 1963-1987: Application of quantile regression. Econometrica, 62(2), 405-458.
Buchinsky, M. (1998). Recent advances in quantile regression models: A practical guideline for empirical research. Journal of Human Resources, 33(1), 88-126.
Burtch, G., Hogreve, J., & Wiertz, C. (2018). Motivational drivers of crowdfunding participation: A self-determination theory approach. Journal of Business Venturing, 33(2), 215-236.
Cade, B. S., & Noon, B. R. (2003). A gentle introduction to quantile regression for ecologists. Frontiers in Ecology and the Environment, 1(8), 412-420.
Carkovic, M., & Levine, R. (2005). Does foreign direct investment accelerate economic growth? In T. H. Moran, E. M. Graham, & M. Blomström (Eds.), Does foreign direct investment promote development? (pp. 195-220). Institute for International Economics.
Chernozhukov, V., & Hansen, C. (2006). Instrumental quantile regression inference for structural and treatment effect models. Journal of Econometrics, 132(2), 491-525.
Chernozhukov, V., & Hansen, C. (2008). Instrumental variable quantile regression: A robust inference approach. Journal of Econometrics, 142(1), 379-398.
Cochran, W. G. (1954). The combination of estimates from different experiments. Biometrics, 10(1), 101-129.
Cole, M. A., Elliott, R. J., & Fredriksson, P. G. (2008). Endogenous pollution havens: Does FDI influence environmental regulations? Scandinavian Journal of Economics, 108(1), 157-178.
Cumming, D., Groh, A. P., & Li, D. (2019). Entrepreneurial finance and crowdfunding. In Handbook of Entrepreneurial Finance (pp. 79-105). Oxford University Press.
Davino, C., Furno, M., & Vistocco, D. (2013). Quantile regression: Theory and applications. John Wiley & Sons.
Dawson, R. L., & Trapp, R. G. (2004). Basic and clinical biostatistics (4th ed.). Lange Medical Books/McGraw-Hill.
Dollar, D., & Kraay, A. (2002). Growth is good for the poor. Journal of Economic Growth, 7(3), 195-225.
Dunham, J. B., Cade, B. S., & Terrell, J. W. (2002). Influences of spatial and temporal variation on fish-habitat relationships defined by regression quantiles. Transactions of the American Fisheries Society, 131(1), 86-98.
Durbin, J., & Watson, G. S. (1950). Testing for serial correlation in least squares regression. I. Biometrika, 37(3/4), 409-428. doi:10.2307/2332391
Feenstra, R. C., & Hanson, G. H. (1997). Foreign direct investment and relative wages: Evidence from Mexico's maquiladoras. Journal of International Economics, 42(3-4), 371-393.
Fisher-Vanden, K., Jefferson, G. H., Liu, H., & Tao, Q. (2004). What is driving China's decline in energy intensity? Resource and Energy Economics, 26(1), 77-97.
Frankel, J. A., & Rose, A. K. (2005). Is trade good or bad for the environment? Sorting out the causality. Review of Economics and Statistics, 87(1), 85-91.
Gerber, E. M., Hui, J. S., & Kuo, P. Y. (2012). Crowdfunding: Why people are motivated to post and fund projects on crowdfunding platforms. In Proceedings of the International Conference on Information Systems.
Global Fund. (2021). How we work: Financing. Retrieved from https://www.theglobalfund.org/en/how-we-work/financing/
Greenstone, M., & Hanna, R. (2014). Environmental regulations, air and water pollution, and infant mortality in India. American Economic Review, 104(10), 3038-3072.
Hao, L., & Naiman, D. Q. (2007). Quantile regression. Sage Publications.
Härtwig, F., & Schröder, M. (2018). Crowdfunding for sustainable development: A study of platforms. Sustainability, 10(8), 2741.
Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. doi:10.2307/1913827
Hausmann, R. (2014). Blended finance for development: An overview. Harvard CID Working Paper, No. 285. Retrieved from https://www.hks.harvard.edu/sites/default/files/centers/cid/files/publications/workingpaper_285.pdf
Higgins, J. P., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539-1558.
Higgins, J. P., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ, 327(7414), 557-560.
International Energy Agency. (2023). Energy efficiency market report 2023. IEA Publications.
International Finance Corporation (IFC). (2016). Scaling up blended finance to achieve the 2030 Agenda: A discussion paper. [Citation incomplete]
International Finance Corporation (IFC). (2019). Blended finance: Mobilizing private capital for development. Retrieved from https://www.ifc.org/wps/wcm/connect/industry_ext_content/ifc_external_corporate_site/financial+institutions/publications/blended-finance
International Labour Organization. (2023). World employment and social outlook: Trends 2023. ILO Publications.
International Monetary Fund. (2023). World economic outlook, April 2023. IMF Publications.
International Monetary Fund. (2023). World economic outlook, October 2023. IMF Publications.
International Renewable Energy Agency. (2022). Renewable energy statistics 2022. IRENA Publications.
Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74-89.
Koenker, R. (2005). Quantile regression. Cambridge University Press.
Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50.
Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143-156.
Kraay, A. (2006). When is growth pro-poor? Evidence from a panel of countries. Journal of Development Economics, 80(1), 198-227.
Liang, L., Liu, D., Wu, S., & Wang, S. (2019). The impact of backer engagement on crowdfunding project success. Journal of Interactive Marketing, 46, 130-146.
Lynn, A. E. (2016). The regulation of crowdfunding: What can the United States learn from the United Kingdom? Harvard Law Review, 129(8), 2328–2355. Retrieved from https://harvardlawreview.org/2016/06/the-regulation-of-crowdfunding/
Machado, J. A. F., & Mata, J. (2005). Counterfactual decomposition of changes in wage distributions using quantile regression. Journal of Applied Econometrics, 20(4), 445-465.
Mollick, E. (2014). The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing, 29(1), 1-16.
Montgomery, D. C., Jennings, C. L., & Kulahci, M. (2017). Introduction to time series analysis and forecasting. John Wiley & Sons.
Myers, J. L., & Well, A. D. (2003). Research design and statistical analysis (2nd ed.). Lawrence Erlbaum Associates.
OECD. (2023). OECD economic outlook, Volume 2023 Issue 2. OECD Publishing.
OECD. (2023). OECD employment outlook 2023. OECD Publishing.
Popp, D., Hascic, I., & Medhi, N. (2011). Technology and the diffusion of renewable energy. Energy Economics, 33(4), 648-662.
Powell, D. (2016). Quantile regression with nonadditive fixed effects. Quantile Treatment Effects, 2.
Powell, D. (2020). Quantile treatment effects in the presence of covariates. Review of Economic Studies, 87(6), 1997-2034.
Ravallion, M. (2016). The economics of poverty: History, measurement, and policy. Oxford University Press.
REN21. (2023). Renewables 2023 global status report. REN21 Secretariat.
Rosner, B. (2011). Fundamentals of biostatistics (7th ed.). Brooks/Cole, Cengage Learning.
Schäfer, M. S., Metag, J., & Feustle, J. (2019). Crowdfunding and community energy: A systematic literature review. Renewable and Sustainable Energy Reviews, 101, 855-866.
Scholz, S., Dorner, F., Benlian, A., & Satzger, G. (2016). An empirical analysis of crowdfunding success factors in the energy sector. Proceedings of the International Conference on Information Systems (ICIS), Dublin, Ireland.
Solar Roadways. (2014). Solar Roadways: A step towards a more sustainable future. Retrieved from https://www.indiegogo.com/projects/solar-roadways
Stern, D. I. (2012). Modeling international trends in energy efficiency. Energy Economics, 34(6), 2200-2208.
Stern, N. (2007). The economics of climate change: The Stern review. Cambridge University Press.
Taylor, S. J. (1990). Statistical techniques for data analysis. Chapman and Hall.
UN Development Programme. (2023). Global multidimensional poverty index 2023. UNDP Publications.
UNCTAD. (2021). World investment report 2021: Investing in sustainable recovery. United Nations Conference on Trade and Development. Retrieved from https://unctad.org/system/files/official-document/wir2021_en.pdf
UNCTAD. (2023). World investment report 2023. United Nations Publications.
United Nations Conference on Trade and Development (UNCTAD). (2014). World investment report 2014: Investing in the SDGs: An action plan. United Nations.
United Nations Development Programme (UNDP). (2018). Blended finance in the least developed countries. [Citation incomplete]
UNIDO. (2023). Industrial development report 2023. United Nations Industrial Development Organization.
Whitfield, D. (2019). Blended finance and the sustainable development goals: An overview. [Citation incomplete]
World Bank. (2022). Global economic prospects, January 2022. World Bank Publications.
World Bank. (2022). Jobs diagnostics: A framework for designing jobs strategies. World Bank Publications.
World Bank. (2022). Regulatory indicators for sustainable energy (RISE) 2022. World Bank Publications.
World Bank. (2023). Poverty and shared prosperity 2023: Fragility and conflict. World Bank Publications.
World Bank. (2023). World development indicators 2023. World Bank Publications.
World Health Organization. (2023). WHO global air quality database 2023. WHO Publications.
There are 82 references in total.
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Copyright (c) 2025 SHADI Al Shebli, Ahmet F. Aysan, Ruslan Nagayev (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Article Information
- Article Type Articles
- Submitted March 24, 2025
- Accepted May 8, 2025
- Published May 29, 2025
- Issue Vol. 1 No. 2 (2025): Volume 1 - Issue 2 (May 2025)
- Section Articles