Does a More Diversified Revenue Structure Lead to Greater Financial Capacity and Less Vulnerability in Nonprofit Organizations? A Bibliometric and Meta-Analysis

Jiahuan Lu1, Weiwei Lin1, Qiushi Wang2
1School of Public Affairs and Administration, Rutgers University-Newark, Newark, USA
2School of Government and Center for Chinese Public Administration Research, Sun Yat-sen University, Guangzhou, People’s Republic of China

Tóm tắt

This article explores how and to what extent revenue diversification and concentration strategies affect financial performance, particularly financial capacity and vulnerability, in nonprofit organizations. Using a sample collected from a systematic literature search of all major databases, we first conducted a bibliometric analysis of 86 existing studies to visualize the clusters of major topics in this area and to explore the connections between existing studies. We then employed a meta-analysis to quantitatively synthesize 258 effect sizes from 23 existing empirical studies. We found that diversification had little effect on financial vulnerability, but it had a slightly negative effect on financial capacity. The article finally uses a meta-regression to discuss some of the theoretical and practical reasons why there is inconsistency in the results across existing studies and calls for more discussion of the assumptions and effectiveness of revenue diversification among nonprofit scholars and practitioners.

Tài liệu tham khảo

Aldrich, H., & Auster, E. R. (1986). Even dwarfs started small: Liabilities of age and size and their strategic implications. Research in Organizational Behavior, 8, 165–198. Bielefeld, W. (1992). Non-profit funding environment relations: Theory and application. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 3(1), 48–70. Borenstein, M. (2009). Effect sizes for continuous data. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 221–236). New York: Russell Sage Foundation. Borenstein, M., Hedges, L. V., Higgins, J., & Rothstein, H. R. (2010). A basic introduction to fixed-effect and random-effects models for meta-analysis. Research Synthesis Methods, 1(2), 97–111. Bowman, W. (2011). Financial capacity and sustainability of ordinary nonprofits. Nonprofit Management and Leadership, 22(1), 37–51. Brooks, A. C. (2000). Is there a dark side to government support for nonprofits? Public Administration Review, 60(3), 211–218. Bryson, J. M., Crosby, B. C., & Stone, M. M. (2006). The design and implementation of cross-sector collaborations: Propositions from the literature. Public Administration Review, 66(S1), 44–55. Calabrese, T. (2012a). Running on empty: The operating reserves of U.S. nonprofit organizations. Nonprofit Management and Leadership, 23(3), 281–302. Calabrese, T. D. (2012b). The accumulation of nonprofit profits: A dynamic analysis. Nonprofit and Voluntary Sector Quarterly, 41(2), 300–324. Carroll, D. A., & Stater, K. J. (2009). Revenue diversification in nonprofit organizations: Does it lead to financial stability? Journal of Public Administration Research and Theory, 19(4), 947–966. Chang, C. F., & Tuckman, H. P. (1994). Revenue diversification among non-profits. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 5(3), 273–290. Chang, C. F., & Tuckman, H. P. (1996). The goods produced by nonprofit organizations. Public Finance Quarterly, 24(1), 25–43. Chen, C. (2004). Searching for intellectual turning points: Progressive knowledge domain visualization. Proceedings of the National Academy of Sciences, 101(s1), 5303–5310. Chikoto, G. L., Ling, Q., & Neely, D. G. (2016). The adoption and use of the Hirschman-Herfindahl Index in nonprofit research: Does revenue diversification measurement matter? Voluntas: International Journal of Voluntary and Nonprofit Organizations, 27(3), 1425–1447. Chikoto, G. L., & Neely, D. G. (2014). Building nonprofit financial capacity: The impact of revenue concentration and overhead costs. Nonprofit and Voluntary Sector Quarterly, 43(3), 570–588. Chikoto-Schultz, G. L., & Neely, D. G. (2016). Exploring the nexus of nonprofit financial stability and financial growth. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 27(6), 2561–2575. Cohen, J. (1988). Statistical power analysis for the behavior science. Hillside: Lawrance Eribaum Association. Cordery, C. J., Sim, D., & Baskerville, R. F. (2013). Three models, one goal: Assessing financial vulnerability in New Zealand amateur sports clubs. Sport Management Review, 16(2), 186–199. de Andrés-Alonso, P., Garcia-Rodriguez, I., & Romero-Merino, M. E. (2015). The dangers of assessing the financial vulnerability of nonprofits using traditional measures. Nonprofit Management and Leadership, 25(4), 371–382. de Jong, F. (2014). Revenue diversification in Dutch charity organizations: Does it lead to growth? (Doctoral dissertation). Tilburg University. de los Mozos, I. S. L., Duarte, A. R., & Ruiz, O. R. (2016). Resource dependence in non-profit organizations: Is it harder to fundraise if you diversify your revenue structure? Voluntas: International Journal of Voluntary and Nonprofit Organizations, 27(6), 2641–2665. Despard, M. R., Nafziger-Mayegun, R. N., Adjabeng, B. K., & Ansong, D. (2017). Does revenue diversification predict financial vulnerability among non-governmental organizations in sub-Saharan Africa? Voluntas: International Journal of Voluntary and Nonprofit Organizations, 28(5), 2124–2144. DiMaggio, P., & Powell, W. W. (1983). The iron cage revisited: Collective rationality and institutional isomorphism in organizational fields. American Sociological Review, 48(2), 147–160. Fischer, R. L., Wilsker, A., & Young, D. R. (2011). Exploring the revenue mix of nonprofit organizations: Does it relate to publicness? Nonprofit and Voluntary Sector Quarterly, 40(4), 662–681. Fleiss, J. L., & Berlin, J. A. (2009). Effect sizes for dichotomous data. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 237–254). New York: Russell Sage Foundation. Foster, W., & Fine, G. (2007). How nonprofits get really big. Stanford Social Innovation Review, 5(2), 46–55. Foster, M. K., & Meinhard, A. G. (2005). Diversifying revenue sources in Canada: Are women’s voluntary organizations different? Nonprofit Management and Leadership, 16(1), 43–60. Froelich, K. A. (1999). Diversification of revenue strategies: Evolving resource dependence in nonprofit organizations. Nonprofit and Voluntary Sector Quarterly, 28(3), 246–268. Frumkin, P., & Keating, E. K. (2011). Diversification reconsidered: The risks and rewards of revenue concentration. Journal of Social Entrepreneurship, 2(2), 151–164. Geyskens, I., Krishnan, R., Steenkamp, J.-B. E. M., & Cunha, P. V. (2009). A review and evaluation of meta-analysis practices in management research. Journal of Management, 35(2), 393–419. Glass, G. V. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5(10), 3–8. Gordon, T. P., Fischer, M., Greenlee, J., & Keating, E. K. (2013). Warning signs: Nonprofit insolvency indicators. International Research Journal of Applied Finance, 4(3), 343–378. Grasse, N. J., Whaley, K. M., & Ihrke, D. M. (2016). Modern portfolio theory and nonprofit arts organizations: Identifying the efficient frontier. Nonprofit and Voluntary Sector Quarterly, 45(4), 825–843. Greenlee, J. S., & Trussel, J. M. (2000). Predicting the financial vulnerability of charitable organizations. Nonprofit Management and Leadership, 11(2), 199–210. Grønbjerg, K. A. (1993). Understanding nonprofit funding: Managing revenues in social services and community development organizations. San Francisco: Jossey-Bass. Hager, M. A. (2001). Financial vulnerability among arts organizations: A test of the Tuckman-Chang measures. Nonprofit and Voluntary Sector Quarterly, 30(2), 376–392. Hager, M. A., Galaskiewicz, J., & Larson, J. A. (2004). Structural embeddedness and the liability of newness among nonprofit organizations. Public Management Review, 6(2), 159–188. Hannan, M. T., & Freeman, J. (1983). The liability of newness: Age dependence in organizational death rates. American Sociological Review, 48(5), 692–710. Hodge, M., & Piccolo, R. (2005). Funding source, board investment techniques, and financial vulnerability in nonprofits. Nonprofit Management & Leadership, 16(2), 171–190. Jegers, M., & Verschueren, I. (2006). On the capital structure of non-profit organisations: An empirical study for Californian organisations. Financial Accountability & Management, 22(4), 309–329. Keating, E., Fischer, M., Gordon, T., & Greenlee, J. (2005). Assessing financial vulnerability in the nonprofit sector (Faculty Research Working Paper Series, Paper No. 27). Cambridge, MA: Hauser Center for Nonprofit Organizations. Kerlin, J. A., & Pollak, T. H. (2011). Nonprofit commercial revenue: A replacement for declining government grants and private contributions? American Review of Public Administration, 41(6), 686–704. Kingma, B. R. (1993). Portfolio theory and nonprofit financial stability. Nonprofit and Voluntary Sector Quarterly, 22(2), 105–119. Lam, M., & McDougle, L. (2016). Community variation in the financial health of nonprofit human service organizations: An examination of organizational and contextual effects. Nonprofit and Voluntary Sector Quarterly, 45(3), 500–525. Liang, K. Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73(1), 13–22. Light, P. C. (2004). Sustaining nonprofit performance: The case for capacity building and the evidence to support it. Washington, DC: Brookings Institution Press. Lin, W., & Wang, Q. (2016). What helped nonprofits weather the great recession? Evidence from human services and community improvement organizations. Nonprofit Management & Leadership, 26(3), 257–276. Lipsey, M. W. (2009). Identifying interesting variables and analysis opportunities. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 147–158). New York: Russell Sage Foundation. Lu, J. (2016). The philanthropic consequence of government grants to nonprofit organizations. Nonprofit Management and Leadership, 26(4), 381–400. Markowitz, H. (1952). Portfolio seclection. The Journal of Finance, 7(1), 77–91. Mayer, W. J., Wang, H., Egginton, J. F., & Flint, H. S. (2014). The impact of revenue diversification on expected revenue and volatility for nonprofit organizations. Nonprofit and Voluntary Sector Quarterly, 43(2), 374–392. Meyer, J. W., & Scott, W. R. (1992). Organizational environments: Ritual and rationality. Newcastle upon Tyne: Sage. Myser, S. (2016). Financial health of nonprofit organizations (Doctoral dissertation). University of Kansas. Pfeffer, J., & Salanick, G. R. (2003). The external control of organizations: A resource dependence perspective. Stanford, CA: Stanford University Press. Reed, J. G., & Baxter, P. M. (2009). Using reference databases. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 73–101). New York: Russell Sage Foundation. Ringquist, E. (2013). Meta-analysis for public management and policy. Hoboken: Wiley. Rodríguez, Í. G. (2017). Governance and financial vulnerability of nonprofit organizations: An analysis of the NGDOs from Spain and the United Kingdom (Doctoral dissertation). University of Burgos. Rothstein, H. R., Sutton, A. J., & Borenstein, M. (2006). Publication bias in meta-analysis: Prevention, assessment and adjustments. Hoboken: Wiley. Rushton, M., & Brooks, A. C. (2007). Government funding of nonprofit organizations. In D. Young (Ed.), Financing nonprofits: Putting theory into practice (pp. 69–91). Lanham: Altamira Press. Salamon, L. M. (1995). Partners in public service: Government-nonprofit relations in the modern welfare state. Baltimore, MD: Johns Hopkins University Press. Schmidt, F. L., & Hunter, J. E. (2014). Methods of meta-analysis: Correcting error and bias in research findings. Thousand Oaks, CA: Sage publications. Scott, W. R. (1987). Organizations: Rational, natural, and open systems. Englewood Cliffs, NJ: Prentice-Hall. Shadish, W., & Haddock, C. K. (2009). Combining estimates of effect size. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 257–278). New York: Russell Sage Foundation. Silva, B., & Burger, R. (2015). Financial vulnerability: An empirical study of Ugandan NGOs (No. 1515). Liege: CIRIEC-Université de Liège. Small, H. (2003). Paradigms, citations, and maps of sciences: A personal history. Journal of the American Society for Information Science and Technology, 54(5), 394–399. Spyker, C., & Deol, H. (2014). Doing too much? Financial vulnerability of Canadian registered charities. In Presentation at 2014 Canadian Academic Accounting Association (CAAA) annual conference. Steinberg, R. (1990). Profits and incentive compensation in nonprofit firms. Nonprofit Management and Leadership, 1(2), 137–151. Stone, M. M., & Sandfort, J. R. (2009). Building a policy fields framework to inform research on nonprofit organizations. Nonprofit and Voluntary Sector Quarterly, 38(6), 1054–1075. Suárez, D. F., & Hwang, H. (2008). Civic engagement and nonprofit lobbying in California, 1998-2003. Nonprofit and Voluntary Sector Quarterly, 37(1), 93–112. Tevel, E., Katz, H., & Brock, D. M. (2015). Nonprofit financial vulnerability: Testing competing models, recommended improvements, and implications. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 26(6), 2500–2516. Trussel, J. M. (2002). Revisiting the prediction of financial vulnerability. Nonprofit Management & Leadership, 13(1), 17–31. Trussel, J. M., & Greenlee, J. (2004). A financial rating system for nonprofit organizations. Research in Government and Nonprofit Accounting, 11(1), 105–128. Tuckman, H. P., & Chang, C. F. (1991). A methodology for measuring the financial vulnerability of charitable nonprofit organizations. Nonprofit and Voluntary Sector Quarterly, 20(4), 445–460. Tuckman, H. P., & Chang, C. F. (1992). Nonprofit equity: A behavioral model and its policy implications. Journal of Policy Analysis and Management, 11(1), 76–87. von Schnurbein, G., & Fritz, T. M. (2017). Benefits and drivers of nonprofit revenue concentration. Nonprofit and Voluntary Sector Quarterly, 46(5), 922–943. Weisbrod, B. A. (1998). To profit or not to profit: The commercial transformation of the nonprofit sector. New York: Cambridge University Press. Wicker, P., & Breuer, C. (2013). Understanding the importance of organizational resources to explain organizational problems: Evidence from nonprofit sport clubs in Germany. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 24(2), 461–484. Wicker, P., & Breuer, C. (2014). Examining the financial condition of sport governing bodies: The effects of revenue diversification and organizational success factors. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 25(4), 929–948.