Drivers of winegrowers' decision on land use abandonment based on exploratory spatial data analysis and multilevel models

被引:9
|
作者
Calafat-Marzal, Consuelo [1 ]
Sanchez-Garcia, Mercedes [2 ]
Gallego-Salguero, Aurea [3 ]
Pineiro, Veronica [4 ]
机构
[1] Univ Politecn Valencia, Dept Econ & Ciencias Sociales, Valencia, Spain
[2] Univ Publ Navarra, Dept Gest Empresas, Campus Arrosadia, Pamplona, Spain
[3] Univ Politecn Valencia, Dept Ingn Cartograf Geodesia & Fotogrametria, Valencia, Spain
[4] Univ Nacl, Dept Agron, Bahia Blanca, Argentina
关键词
Multinomial multilevel analysis; Exploratory spatial data analysis; Wine sector; Abandonment land; SCENARIOS; CHINA;
D O I
10.1016/j.landusepol.2023.106807
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The frequency of producers opting to abandon agricultural land has become increasingly, highlighting the sig-nificance of this phenomenon due to its environmental, landscape, and socio-economic impacts. The decisions of producers to abandon or maintain/improve their farms depend on individual and contextual factors. The aims of this research are twofold. Firstly, to evaluate the influence of the neighbours on the winegrowers' decisions, using spatial analysis. Secondly, to clarify the specific importance of each of the individual and contextual drivers in farmers' decisions to improve their farms, to keep them unchanged or to abandon them, using multilevel models. The results obtained for the case study of vineyards in Spain, reveal a strong agglomeration phenomenon in farmers' decisions indicating that producers make land use decisions influenced by what their neighbours do. A multilevel analysis identifies that individual factors are determinant and that the influence of contextual factors is conditioned by the innovation process at farm level. Individual drivers, such as size, innovation, Protected Designations of Origin and irrigation influence vineyard area, with irrigation having the greatest overall influence, and is expected to be decisive in climate change projections. The Protected Designations of Origin are driving forces that dynamize the territory and achieve productive concentrations, encouraging winegrowers to replant, but they are not enough to halt abandonment. The elements that slow down the abandonment of plots are irrigation and the combination of innovation and context variables, mainly the combination of modernised plots in the municipalities with trading options.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Spatial variation and factors associated of solid fuel use in Ethiopia a multilevel and spatial analysis based on EDHS 2016
    Jember Azanaw
    Mequannent Sharew Melaku
    Scientific Reports, 13
  • [42] Spatial variation and factors associated of solid fuel use in Ethiopia a multilevel and spatial analysis based on EDHS 2016
    Azanaw, Jember
    Melaku, Mequannent Sharew
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [43] China land use spatial structure analysis based on the remote sensing survey
    Huang, YJ
    Huang, YF
    Liu, MZ
    Sun, JH
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 2467 - 2469
  • [44] Spatial inequality and poverty in Uruguay: a subnational and multi- scale approach based on spatial exploratory data analysis
    Ramos, Victor Borras
    ESTUDIOS SOCIOTERRITORIALES, 2025, (35): : 197 - 219
  • [45] ILUDSS: A knowledge-based spatial decision support system for strategic land-use planning
    Zhu, X
    Aspinall, RJ
    Healey, RG
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1996, 15 (04) : 279 - 301
  • [46] Bayesian Analysis of Skew Gaussian Spatial Models Based on Censored Data
    Tadayon, Vahid
    Khaledi, Majid Jafari
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2015, 44 (09) : 2431 - 2441
  • [47] Analysis on spatial and temporal changes of regional habitat quality based on the spatial pattern reconstruction of land use
    Zhang X.
    Zhou J.
    Li M.
    1600, Science Press (75): : 160 - 178
  • [48] Spatio-temporal pattern evolution and spatial convergence of greenhouse gas emission efficiency in China's cities: analyses based on exploratory spatial data analysis and spatial econometric models
    Wang, Kaifeng
    Wu, Dalei
    Li, Junyu
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2024, 33 (04) : 380 - 403
  • [49] On the Use of Probit-Based Models for Ranking Data Analysis
    Nair, Gopindra S.
    Bhat, Chandra R.
    Pendyala, Ram M.
    Loo, Becky P. Y.
    Lam, William H. K.
    TRANSPORTATION RESEARCH RECORD, 2019, 2673 (04) : 229 - 240
  • [50] Detecting and managing change in spatial data-land use and infrastructure change analysis and detection
    Olson, GA
    Cheriyadat, A
    Mali, P
    O'Hara, CG
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 729 - 734