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.
Project Overview
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.
Work Packages
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)
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