Size, Structure and Integration of Rural Non-profit Organizations in Local Governance: Survey Results from the Czech Republic.

CURTISS, Jarmila, Simona ŠKARABELOVÁ, Jiří NAVRÁTIL and Gabriela VACEKOVÁ. Size, Structure and Integration of Rural Non-profit Organizations in Local Governance: Survey Results from the Czech Republic. In 11th International ISTR Conference: 'Civil Society and the Citizen', Muenster, Germany. 2014.

Basic information

• Original name: Size, Structure and Integration of Rural Non-profit Organizations in Local Governance: Survey Results from the Czech Republic.
• Authors: CURTISS, Jarmila, Simona ŠKARABELOVÁ, Jiří NAVRÁTIL and Gabriela VACEKOVÁ.
• Edition: 11th International ISTR Conference: 'Civil Society and the Citizen', Muenster, Germany, 2014.

Other information

• Original language: English
• Type of outcome: Presentations at conferences
• Field of Study: 50200 5.2 Economics and Business
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• Organization unit: Faculty of Economics and Administration
• Keywords in English: Rural Non-profit Organizations; Local Governance; Czech Republic
• Tags: International impact

Abstract

The objectives of this study are to document the size and structure of the rural nonprofit sector, as well as forms of cooperation between nonprofits and local governments, and to analyze whether these systematically vary with (socio-economic) community/municipality characteristics. Our empirical study considers the case of the Czech Republic, which belongs to those EU Member States with a communist past. The Czech Republic is also very specific in its highly dispersed structure of autonomous local government units (Dexia, 2008). For this study, data on NPOs from 190 rural municipalities of less than 2000 inhabitants were collected in selected regions in 2013 using structured interviews with mayors or their deputies. To analyze the relationship between various socio-economic characteristics of rural regions and municipalities and the structure and size of the rural nonprofit sector, we utilize multivariate data analysis, regressions, and multiple choice probabilistic techniques.

Links

• CZ.1.07/2.3.00/30.0009, interní kód MU(CEP code: EE2.3.30.0009): Name: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci (Acronym: Postdoc I.)

Investor: Ministry of Education, Youth and Sports of the CR, 2.3 Human resources in research and development

• EE2.3.30.0009, research and development project: Name: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci