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What Accounts for the Variations in Nonprofit Growth? A Cross-National Panel Study

Authors
Kim, You HyunKim, Seok Eun
Issue Date
Jun-2018
Publisher
SPRINGER
Keywords
Nonprofit growth; Social origins theory; Panel study
Citation
VOLUNTAS, v.29, no.3, pp.481 - 495
Indexed
SSCI
SCOPUS
Journal Title
VOLUNTAS
Volume
29
Number
3
Start Page
481
End Page
495
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/149939
DOI
10.1007/s11266-016-9752-x
ISSN
0957-8765
Abstract
Previous studies of nonprofit growth have lamented the lack of cross-national longitudinal data measuring the size of the nonprofit sector across countries, which has made it difficult to assess the current state of knowledge about the nonprofit sector beyond national boundaries. Recent progress in measuring nonprofit growth using panel studies or cross-national data has compensated for the limitations of the existing research, but even the recent data are either country specific or cross sectional in nature. This study takes on the challenge of supplementing the current research by measuring nonprofit growth using internationally comparable longitudinal data. Specifically, this study focuses on whether certain key indicators of the overall state of the economy can be used to predict and explain the size of nonprofit sectors cross-nationally. The overall state of the economy has considerable relevance for nonprofit growth, as it influences the levels of government funding and private philanthropy that benefit the nonprofit sector. The results indicate that the existing theories about the nonprofit sector account for variations in nonprofit growth but are limited in their explanations of the underlying dynamics of such variations beyond national boundaries. Social origins theory is a useful addition that helps to explain cross-national variations in nonprofit growth. Importantly, the interplay among the government, private philanthropy, and the nonprofit sector is dynamic, and its effect on economic indicators varies across nonprofit regime types when sociodemographic variables are controlled.
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COLLEGE OF POLICY SCIENCE (DEPARTMENT OF PUBLIC ADMINISTRATION)
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