D4.1 LUM models atcountry, regional, and local résolutions: Report accompanying open-source code of ex-post models
D4.1 Modèles LUM à l'échelle nationale, régionale et locale: rapport accompagnant le code open source des modèles ex post
Raja Chakir (),
Addo Felicity,
Barbosa Ana-Luisa,
Bareille François,
Bokusheva Raushan,
Chakir Raja,
Cocco Valentin,
Conesa David,
Debonne Niels,
Dijk Michiel Van,
Dominguez Ignacio Perez,
Figueira Mario,
Gocht Alexander,
Havlik Petr,
Hillesund Ruth Sofie,
Keles Derya,
Klinert Ana,
Kokemohr Lennart,
Kopczewska Katarzyna,
Krisztin Tamás,
Mittenzwei Klaus,
Neuenfeldt Sebastian,
Ollier Maxime,
Piribauer Philipp,
Quilez Antonio Lopez,
Renhart Anna,
Rossi Walter Cervi,
Sandström Evelina Klara Maria,
Sinabell Franz,
Stepanyan Davit,
Verburg Peter H.,
Veron Emilien and
Wögerer Michael
Additional contact information
Raja Chakir: UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Bareille François: UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, RFF-CMCC European Institute on Economics and the Environment (Milan)
Chakir Raja: ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech
Cocco Valentin: CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique, UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Conesa David: Departament d’Estadística i Investigació Operativa - UV - Universitat de València = University of Valencia = Universidade de Valencia
Figueira Mario: CMAF - Centro de Matemática e Aplicações Fundamentais - ULISBOA - Universidade de Lisboa = University of Lisbon = Université de Lisbonne [Lisboa]
Havlik Petr: IIASA - International Institute for Applied Systems Analysis [Laxenburg]
Keles Derya: BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Kokemohr Lennart: Universität Bonn = University of Bonn
Krisztin Tamás: IIASA - International Institute for Applied Systems Analysis [Laxenburg]
Mittenzwei Klaus: NIBIO - Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research
Veron Emilien: UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Working Papers from HAL
Abstract:
This deliverable examines land-use and management (LUM) dynamics across Europe, integrating country, regional, and high-resolution local analyses. By leveraging Advanced econometric and machine-learning models, it explores how economic drivers, Policy instruments—particularly the Common Agricultural Policy (CAP)—and environmental factors shape land-use decisions. The findings contribute to the LAMASUS project's overarching goal of fostering sustainable land-use governance while addressing critical challenges in climate adaptation, biodiversity conservation, and rural development. The analysis reveals significant spatial variability in the impacts of CAP instruments on land-use patterns. Decoupled payments showed modest positive effects on cropland expansion in low-productivity areas but had minimal influence in intensive agricultural regions. Coupled payments encouraged agricultural land expansion, potentially conflicting with environmental objectives. In contrast, Pillar II environmental subsidies effectively promoted sustainable practices, particularly in regions prioritising conservation. Environmental factors, including rising temperatures and changing precipitation patterns, emerged as major determinants of land-use dynamics, underscoring the urgency of integrating climate adaptation measures into policy frameworks. Socio-economic drivers, such as population changes and market conditions, further diversified regional responses to land-use challenges. The high-resolution models developed in this deliverable, supported by the WP2 geodatabase, provide a powerful framework for capturing spatial heterogeneity and offer elasticity estimates critical for other LAMASUS work packages, including WP6 and WP7. These models enable projections of future policy impacts on land use at fine spatial scales, ensuring robust forward-looking analysis. The results underscore the importance of regionally tailored interventions that reflect the diverse socio-economic and environmental characteristics of European regions. Moreover, the findings directly inform actionable Policy recommendations for stakeholders involved in specific case studies, offering targeted guidance for sustainable land-use planning and governance.
Keywords: Ex-post econometric model; Regional variability; Sustainable governance (search for similar items in EconPapers)
Date: 2024-12-20
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Published in D4. 1, Union Européenne. 2024, 84 p
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-05587701
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