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  <title>EconStor Collection:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/202100" />
  <subtitle />
  <id>https://hdl.handle.net/10419/202100</id>
  <updated>2026-04-29T03:42:00Z</updated>
  <dc:date>2026-04-29T03:42:00Z</dc:date>
  <entry>
    <title>New administrative geospatial data for agricultural policy evaluation: An application to EU crop diversity obligations</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/322060" />
    <author>
      <name>Brutti, Zelda</name>
    </author>
    <author>
      <name>Freo, Marzia</name>
    </author>
    <author>
      <name>Serlenga, Laura</name>
    </author>
    <id>https://hdl.handle.net/10419/322060</id>
    <updated>2025-07-26T01:35:11Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: New administrative geospatial data for agricultural policy evaluation: An application to EU crop diversity obligations
Authors: Brutti, Zelda; Freo, Marzia; Serlenga, Laura
Abstract: This study showcases a new class of administrative, geo-spatial data sourced from agricultural subsidy registers as a powerful tool for agricultural policy evaluation. Beyond full national coverage and accurate identification of land use, the key novel feature of GeoSpatial Aid Application (GSAA) data consists in the ability to link agricultural parcels managed by the same farm, enabling causal analysis at the holding level. Using Spanish GSAA data, we evaluate an EU-wide environmental regulation, also unveiling the occurrence of strategic behaviour among a subgroup of farm holdings. We concisely discuss implications for future research endeavours in the agricultural policy domain.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The causal effect of crop diversification obligations on crop diversity: An EU-level analysis</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/322061" />
    <author>
      <name>Brutti, Zelda</name>
    </author>
    <author>
      <name>Freo, Marzia</name>
    </author>
    <author>
      <name>Serlenga, Laura</name>
    </author>
    <id>https://hdl.handle.net/10419/322061</id>
    <updated>2025-07-26T01:35:09Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: The causal effect of crop diversification obligations on crop diversity: An EU-level analysis
Authors: Brutti, Zelda; Freo, Marzia; Serlenga, Laura
Abstract: The Common Agricultural Policy (CAP) is a cornerstone policy of the European Union, increasingly focused on promoting environmentally sustainable practices. In 2014, the CAP introduced Greening payments and a crop diversification requirement to enhance soil resilience and mitigate ecosystem degradation. Despite its economic significance, the policy's effectiveness across the EU remains largely limited. This study evaluates the impact of the Greening crop diversification requirement on crop diversity itself and on a set of subsequent outcomes, including agricultural land allocation, the economic performance of farms and indirect environmental outcomes. Using farm-level data from the Farm Accountancy Data Network (2012-2017), causal relationships are identified, through a design that combines propensity score matching and difference-in-differences, by comparing farms needing to adapt to the new requirements to those who were already compliant. Additionally, a regression discontinuity design estimates local average treatment effects for 2017, thereby exploiting the diversification requirement's thresholdbased design. Both strategies corroborate the conclusion that Greening measures have significantly increased crop diversity across the EU; moreover, results for the remaining farm-level outcomes are consistent with adaptation responses to the new environmental requirements. Overall, the results highlight the policy's effectiveness in promoting sustainable agriculture throughout the EU.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The EU economy's dependency on nature</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/322062" />
    <author>
      <name>Hirschbühl, Dominik</name>
    </author>
    <author>
      <name>Neuville, Aude</name>
    </author>
    <author>
      <name>Petracco Giudici, Marco</name>
    </author>
    <author>
      <name>Sanchez Arjona, Irene</name>
    </author>
    <id>https://hdl.handle.net/10419/322062</id>
    <updated>2025-07-26T01:35:14Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: The EU economy's dependency on nature
Authors: Hirschbühl, Dominik; Neuville, Aude; Petracco Giudici, Marco; Sanchez Arjona, Irene
Abstract: While the importance of nature for economic production is undisputed, nature's contribution is still underrepresented in economic modelling. Following previous studies, this work produces a "high-level" estimate of the dependencies of all EU economic sectors on ecosystem services by applying the ENCORE (Exploring Natural Capital Opportunities, Risks and Exposure) framework to an input-output model. Depending on the version of ENCORE used and on some other assumptions, between 19% and 36% of the EU economy's gross value added (GVA) is found to be highly dependent on ecosystem services. International extensions of the analysis show that the economies of EU and China appear to be more dependent on nature than that of the United States. The analysis also reveals that the entire economy is vulnerable to nature degradation, as all sectors are interlinked through supply and customer connections, potentially leading to cascading effects along value chains.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Housing wealth across countries: The role of expectations, institutions and preferences</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/322020" />
    <author>
      <name>Le Blanc, Julia</name>
    </author>
    <author>
      <name>Slacalek, Jirka</name>
    </author>
    <author>
      <name>White, Matthew N.</name>
    </author>
    <id>https://hdl.handle.net/10419/322020</id>
    <updated>2025-07-26T01:35:13Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Housing wealth across countries: The role of expectations, institutions and preferences
Authors: Le Blanc, Julia; Slacalek, Jirka; White, Matthew N.
Abstract: Homeownership rates and holdings of housing wealth differ immensely across countries. We specify and estimate a life cycle model with risky labor income and house prices in which households face a discrete-continuous choice between renting and owning a house, whose sale is subject to transaction costs. The model allows us to quantify three groups of explanatory factors for long-run, structural differences in the extensive and intensive margins of housing: the homeownership rate and the value of housing wealth of homeowners. First, in line with survey evidence, we allow for differences in expectations of house prices. Second, countries differ in the institutional set-up of the housing market: maximum loan-value ratio and costs of renting, maintaining, and selling a house. Third, we allow for differences in household preferences: the dispersion in discount factors, the share of housing expenditure, and the bequest motive. We estimate the model using micro data from five large economies and provide a decomposition to interpret what drives the cross-country differences in housing wealth. We find that all three groups of factors matter, although preferences less so. Differences in homeownership rates are strongly affected by (i) house price beliefs and (ii) the rental wedge, the difference between rents and maintenance costs, which reflects the quality of the rental market. Differences in the value of housing wealth are substantially driven by housing maintenance costs.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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