A Global Evaluation of Public Policies to Mitigate and Reverse Land Degradation
This project aims to assess global land degradation policies through comprehensive data analysis and econometric methods to enhance their effectiveness and inform sustainable land management strategies.
Projectdetails
Introduction
Land degradation is one of the major sustainability challenges of our time. It is a driver of climate change, biodiversity loss, and water pollution, and reduces global agricultural productivity. This requires effective and economically efficient policies.
Here, I outline a project that combines the global measurement and modelling of land degradation trends with econometric research designs to estimate policy effectiveness, their benefit-cost ratios, and how design features and contextual factors explain policy performance. This research builds on the unique expertise I have developed over the last 5 years.
Project Overview
The project consists of four work packages:
Work Package 1: Data Collection
In the first WP, global datasets will be built, including:
- A new database of public policies relevant to land conditions
- Maps of different land degradation indicators, such as:
- Soil productivity trends
- Vegetation and agricultural yield changes
- Soil erosion and pollution
- Land cover changes, such as cropland expansion and forest loss
Work Package 2: Econometric Analysis
In the second WP, econometric research designs (such as difference-in-differences, difference-in-discontinuities, and synthetic control) will be used to estimate the causal effect(s) of public policies on land conditions.
The comprehensiveness and global scope of the analysis means that for the first time, we will have the “full picture,” largely free of selection and publication biases, and methodologically unified.
Work Package 3: Cost-Benefit Analysis
In the third WP, all the policies’ costs and benefits will be compared to each other, and we will quantify how much benefit each policy has been generating per its costs.
Work Package 4: Performance Analysis
In the fourth WP, we will use both conventional econometric techniques and novel machine learning approaches to systematically explain when and why some public policies perform better than others.
Expected Outcomes
This research will generate new insights on how to improve public policies to mitigate and reverse land degradation. I expect it will generate high interest among academics, policymakers, and the public.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.452.644 |
Totale projectbegroting | € 1.452.644 |
Tijdlijn
Startdatum | 1-6-2023 |
Einddatum | 31-5-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONNpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Creating water-smart landscapesThe project aims to develop a machine learning framework to identify optimal land management scenarios for nature-based solutions that reduce agricultural nutrient runoff in priority areas. | ERC Consolid... | € 1.909.500 | 2024 | Details |
Early warning systeM for soil dEgRadation: a statistical physics Approach to cLimate change aDaptationThe EMERALD Proof of Concept aims to develop a scalable soil fertility monitoring method using statistical physics to combat soil degradation and enhance climate change adaptation for agriculture and land use. | ERC Proof of... | € 150.000 | 2022 | Details |
Eco-evolutionary dynamics in plant-soil interactions during land use transition: consequences for soil functioning and resilience to droughtThis project investigates how land-use changes in European grasslands affect plant evolution and ecosystem services, aiming to inform sustainable management practices amid climate change pressures. | ERC Consolid... | € 1.999.386 | 2022 | Details |
Predictive Understanding of the effects of Global Change on Ecological Communities and Ecosystem FunctionsBEFPREDICT aims to develop predictive models linking global change, biodiversity, and ecosystem functions to inform biodiversity-promoting policies and enhance sustainability efforts. | ERC Consolid... | € 1.999.923 | 2024 | Details |
Can blue economy interventions mitigate rural poverty and outmigration in land-drying eastern Africa?BLUE-AFRICA aims to assess how sustainable blue economy practices can mitigate poverty and outmigration in Eastern Africa's coastal and rural villages amid climate change impacts. | ERC Advanced... | € 2.497.250 | 2025 | Details |
Creating water-smart landscapes
The project aims to develop a machine learning framework to identify optimal land management scenarios for nature-based solutions that reduce agricultural nutrient runoff in priority areas.
Early warning systeM for soil dEgRadation: a statistical physics Approach to cLimate change aDaptation
The EMERALD Proof of Concept aims to develop a scalable soil fertility monitoring method using statistical physics to combat soil degradation and enhance climate change adaptation for agriculture and land use.
Eco-evolutionary dynamics in plant-soil interactions during land use transition: consequences for soil functioning and resilience to drought
This project investigates how land-use changes in European grasslands affect plant evolution and ecosystem services, aiming to inform sustainable management practices amid climate change pressures.
Predictive Understanding of the effects of Global Change on Ecological Communities and Ecosystem Functions
BEFPREDICT aims to develop predictive models linking global change, biodiversity, and ecosystem functions to inform biodiversity-promoting policies and enhance sustainability efforts.
Can blue economy interventions mitigate rural poverty and outmigration in land-drying eastern Africa?
BLUE-AFRICA aims to assess how sustainable blue economy practices can mitigate poverty and outmigration in Eastern Africa's coastal and rural villages amid climate change impacts.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Testing optical solutions for calibrating models that predict behavior of soil bodiesHet project ontwikkelt een geïntegreerd systeem van optische sensoren en rekenmodellen om grondgedrag onder extreme weersomstandigheden te voorspellen, ter verbetering van infrastructuurbeheer. | Mkb-innovati... | € 20.000 | 2021 | Details |
SoilBeat: naar datagedreven toekomstbestendige & regeneratieve landbouwSoilBeat optimaliseert datagedreven inzichten voor boeren, gericht op winstgevende regeneratieve landbouw en bodemgezondheid. | 2.6 - Circul... | € 344.502 | 2023 | Details |
Testing optical solutions for calibrating models that predict behavior of soil bodies
Het project ontwikkelt een geïntegreerd systeem van optische sensoren en rekenmodellen om grondgedrag onder extreme weersomstandigheden te voorspellen, ter verbetering van infrastructuurbeheer.
SoilBeat: naar datagedreven toekomstbestendige & regeneratieve landbouw
SoilBeat optimaliseert datagedreven inzichten voor boeren, gericht op winstgevende regeneratieve landbouw en bodemgezondheid.