Spatial distribution of organic farms and territorial context: An application to an Italian rural region

被引:5
作者
Bonfiglio, Andrea [1 ]
Arzeni, Andrea [1 ]
机构
[1] CREA Council Agr Res & Econ, Res Ctr Agr Policies & Bioecon, Rome, Italy
来源
BIO-BASED AND APPLIED ECONOMICS | 2019年 / 8卷 / 03期
关键词
Organic farming; environmental pressures; rural development policy; hierarchical generalised linear mixed model; MULTINOMIAL PROBIT MODEL; LAND-USE CHANGE; COUNT DATA; REGRESSION; ADOPTION; EFFICIENCY; CONVERSION; VARIABLES; PATTERNS; EROSION;
D O I
10.13128/bae-9329
中图分类号
F [经济];
学科分类号
02 ;
摘要
Organic farming is increasingly promoted and supported at several levels for its capability of producing safe food and public goods. It can give an important contribution to attenuating the environmental pressure generated by conventional agriculture. This paper analyses possible determinants of the spatial distribution of organic farms in a rural region of Italy, characterised by several environmental issues. Towards this aim, a quasi-Poisson hierarchical generalised linear model with mixed effects is adopted. Results indicate that there is spatial correlation and that the distribution of organic farming is related to socio-economic, environmental and political factors. In particular, they show that public support could have favoured the spreading of organic farming where there are more problems of erosion but far from the areas where there is intensive agriculture.
引用
收藏
页码:297 / 323
页数:27
相关论文
共 75 条
  • [1] Zero-inflated models with application to spatial count data
    Agarwal, DK
    Gelfand, AE
    Citron-Pousty, S
    [J]. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2002, 9 (04) : 341 - 355
  • [2] Territorial analysis of the diffusion of organic farming in France: Between heterogeneity and spatial dependence
    Allaire, Gilles
    Pomeon, Thomas
    Maigne, Elise
    Cahuzac, Eric
    Simioni, Michel
    Desjeux, Yann
    [J]. ECOLOGICAL INDICATORS, 2015, 59 : 70 - 81
  • [3] [Anonymous], 2012, ZERO INFLATED MODELS
  • [4] [Anonymous], 2017, Hohenheim Discussion Papers in Business
  • [5] [Anonymous], 2012, EFSA Spatial Data Version 1.1 Data Properties and Processing
  • [6] Anselin L, 2002, AGR ECON-BLACKWELL, V27, P247, DOI 10.1111/j.1574-0862.2002.tb00120.x
  • [7] Conventional and organic farming: Soil erosion and conservation potential for row crop cultivation
    Arnhold, Sebastian
    Lindner, Steve
    Lee, Bora
    Martin, Emily
    Kettering, Janine
    Trung Thanh Nguyen
    Koellner, Thomas
    Ok, Yong Sik
    Huwe, Bernd
    [J]. GEODERMA, 2014, 219 : 89 - 105
  • [8] Basile S., 2014, BIOAGRICULTURA, V145-146, P4
  • [9] STATISTICAL-ANALYSIS OF NON-LATTICE DATA
    BESAG, J
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN, 1975, 24 (03) : 179 - 195
  • [10] Development of organic farming in Norway: A statistical analysis of neighbourhood effects
    Bjorkhaug, Hilde
    Blekesaune, Arild
    [J]. GEOFORUM, 2013, 45 : 203 - 212