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Insights into the ‘ecological economics’ of land degradation: A multi-scale analysis with implications for regional development policy and local mitigation measures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F21%3A43904397" target="_blank" >RIV/60076658:12510/21:43904397 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.envsci.2021.10.003" target="_blank" >https://doi.org/10.1016/j.envsci.2021.10.003</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.envsci.2021.10.003" target="_blank" >10.1016/j.envsci.2021.10.003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Insights into the ‘ecological economics’ of land degradation: A multi-scale analysis with implications for regional development policy and local mitigation measures

  • Original language description

    This study examines the intrinsic relationship between land degradation and the accumulation of wealth at various planning scales in Italy, a desertification hotspot in Southern Europe. Local development was scrutinized at four planning scales (administrative regions, provinces, economic districts, and municipalities) to verify if land sensitivity to degradation increases over time more rapidly in economically advanced contexts. Land sensitivity to degradation increased between the early 1990s and the early 2010s contrary to the level of income per-capita based on linear, squared, cubic, and fourth-grade polynomial specifications. Spatially implicit and explicit statistical approaches indicate linear models are the best fit at all planning scales. The income-land degradation relationship was negative, showing the role of both centralized and decentralized planning scales, and suggesting that developmental policies may have less impact on land degradation in specific territorial contexts. More suited local models displayed a negative socio-economic development impact in more affected Southern districts. Checking for spatial heterogeneity, multi-scale regressions provided insights into complex ecological-economic processes whilst also evaluating the impact of regional development at different planning levels contributing to design scalable mitigation policies against desertification.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Environmental Science &amp; Policy

  • ISSN

    1462-9011

  • e-ISSN

  • Volume of the periodical

    126

  • Issue of the periodical within the volume

    2021

  • Country of publishing house

    BE - BELGIUM

  • Number of pages

    7

  • Pages from-to

    197-203

  • UT code for WoS article

    000708757200007

  • EID of the result in the Scopus database

    2-s2.0-85117096105