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Voters’ Acceptance of Land Use Policy Measures: A Two-Level Analysis
Institution:1. Área de la Cadena Agroalimentaria, Grupo Agroecosost, IFAPA, Camino de Purchil s/n, Granada, Spain;2. Área de la Cadena Agroalimentaria, IFAPA, Carretera Bailén-Motril, Mengibar, Jaén, Spain;1. Department of Wildlife and Fisheries Sciences, Texas A&M University, 210 Nagle Hall, College Station, TX, 77843, USA;2. LiDAR Applications for the Study of Ecosystems with Remote Sensing (LASERS) Laboratory, Department of Ecosystem Science and Management, Texas A&M University,1500 Research Parkway Building B, Suite 217, College Station, TX, 77843, USA;3. Department of Ecosystem Science and Management, Texas A&M University,Horticulture/Forest Science Building, 495 Horticulture St, College Station, TX, 77843, USA;4. Departamento de Geografía, Universidad Nacional de Costa Rica, Naranjo, Costa Rica;5. Department of Wildlife and Fisheries Sciences, Texas A&M University, 210 Nagle Hall, College Station, TX, 77843, USA;1. Department of Geospatial and Space Technology, University of Nairobi, P.O. Box 30197, 00100 Nairobi, Kenya;2. Transportation and Geo-Information Engineering, Faculty of Civil and Environmental Engineering, Technion ? Israel Institute of Technology, Haifa 32000, Israel;1. Department of Geography, Ghent University, Belgium;2. Department of Management, Mekelle University, Mekelle, Ethiopia;3. Centre for Environmental Sciences, Hasselt University, Belgium;4. Economics and Rural Development, Gembloux Agro-Bio Tech, University of Liège, Liège, Belgium;5. Department of Land Resources Management and Environmental Protection, Mekelle University, Ethiopia;6. Department of Agricultural Extension and Education, Ramin Agricultural and Natural Resources University of Khuzestan, Iran;1. Department of Sociology, Colorado State University, Clark B-233, Fort Collins, CO 80526, USA;2. Department of Sociology, Colorado State University, Clark B-240, Fort Collins, CO 80526, USA
Abstract:Sustainable spatial planning has become increasingly important during the last decades. Politics tries to counter land use related challenges such as urban sprawl by the implementation of policy measures. In a direct democracy, the implementation of policy measures requires citizens’ acceptance. This paper examines determinants of voters’ policy measure acceptance in the area of spatial planning. The study analyses 18 popular votes on spatial planning measures between 1984 and 2008 in Switzerland. A Bayesian multilevel modelling method is used to estimate both determinants at the individual level as well as the contextual level. Results show that the main individual factor for voters in Switzerland to accept spatial planning measures in a broad sense are the party affiliations of voters. Another important factor for the voting decision is being a homeowner. In contrast, whether voters live in urban or rural areas does not influence such voting decisions. At the contextual level, policy measures which contain incentive and market-based instruments have a higher probability to be accepted than bans and rules. Moreover, the degree of organisational capacity and conflict capability of interests concerned seem to influence democratic acceptance of spatial planning measures.
Keywords:Land use policy  Spatial planning measures  Acceptance  Multilevel analysis  Direct democracy
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