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Inequality and Concentration in Farmland Production and Size: Regional Analysis for the European Union from 2010 to 2020

This paper analyzes the regional spatio-temporal dynamics of farmland concentration and production inequality across the European Union from 2010 to 2020 to determine whether market power has increasingly shifted to fewer, larger farm holdings amidst a declining number of farms and rising agricultural output.

Original authors: Simone Boccaletti, Paolo Maranzano, Miguel Viegas

Published 2026-04-30

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: Simone Boccaletti, Paolo Maranzano, Miguel Viegas

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine the European Union's farming sector as a massive, sprawling garden. For decades, gardeners have been asking a big question: Is this garden becoming dominated by a few giant, super-efficient plots, while the small, family-sized patches are disappearing?

This paper acts like a detailed map and a time-lapse camera, taking a close look at how this garden has changed between 2010 and 2020. The authors, Simone Boccaletti, Paolo Maranzano, and Miguel Viegas, didn't just count the number of plants; they measured two specific things:

The Land: How much physical ground (hectares) each farm owns.
The Harvest: How much money (economic value) each farm produces.

Here is the story of their findings, broken down into simple concepts.

1. The "Garden Size" vs. The "Harvest Value"

The researchers used a special measuring tool called the Gini Index. Think of this as a "Unevenness Meter."

0 on the meter means perfect equality: Every farm has the exact same size and makes the exact same amount of money.
100 on the meter means total monopoly: One single farm owns all the land and produces all the food, while everyone else has nothing.

The Big Discovery:
In almost every corner of Europe, the "Harvest Value" meter was higher than the "Land Size" meter.

The Analogy: Imagine two neighbors. One has a small backyard but grows rare, expensive orchids. The other has a huge field but only grows cheap grass. Even if the land is split evenly, the money is not split evenly. The paper found that money is much more concentrated than dirt. A few large farms are generating a massive chunk of the total income, even more than their share of the land would suggest. This happens because bigger farms often have better machines and technology (economies of scale), allowing them to squeeze more value out of every square inch.

2. The Map is a Patchwork, Not a Solid Block

If you looked at a map of Europe, you might expect the farming style to be the same across a whole country. The paper says: Not even close.

The "East vs. West" Wall: In countries like Germany and Poland, there is a clear divide. The western parts look like one type of garden (often more equal distribution), while the eastern parts look like another (often more concentrated). This is a leftover scar from history—specifically, the time when these areas were under different political systems (like the Soviet bloc) that treated land differently.
The "North vs. South" Blur: In Italy, you might expect a clear split between the rich North and the poorer South. The paper found this wasn't a clean line. Instead, the "unevenness" was scattered like confetti. Some northern regions were very concentrated, while some southern ones were not. It was a messy, mixed-up picture rather than a neat divide.
The "Clumps": The study found that farms tend to cluster with their neighbors. If a region in France has a lot of giant farms, the region right next to it likely does too. These clusters often cross national borders, forming "super-regions" based on history and geography rather than just country lines.

3. Did the Garden Change Over the Decade?

The authors watched the garden grow from 2010 to 2020. Did the giants get bigger, or did the small patches get a fairer share?

The Answer: It depends entirely on where you are standing.
- France: The garden became more equal. The "Unevenness Meter" went down, meaning land and money were spread out a bit more fairly, especially between 2016 and 2020.
- Greece: A fascinating twist. The land became more equal (smaller farms got more land), but the money became more concentrated. It's as if the small farms got bigger plots, but the big farms got so much more efficient that they still grabbed almost all the cash.
- Eastern Europe (Bulgaria, Romania, etc.): These areas started with very high "Unevenness" (huge gaps between rich and poor farms). Over the decade, the land gap shrank a little, but the money gap stayed stubbornly high.
- The Netherlands & Belgium: These areas remained very stable. Their gardens were already quite balanced, and they stayed that way.

4. Why Does This Matter?

The paper connects these dots to a bigger picture: Policy.
For years, the European Union has had a "Common Agricultural Policy" (CAP) designed to help farmers. The authors suggest that while the policy tries to help everyone, it often accidentally helps the big players more.

The "Subsidy Trap": Some rules give money based on how much land you own. This is like giving a bonus to whoever has the biggest backyard. It helps the giants get even bigger.
The "Small Farm Lifeline": Other rules try to help small farms stay alive, but the results are mixed. In some countries, these rules work well; in others, they don't change the trend of consolidation.

The Bottom Line

The paper concludes that there is no single story for European farming.

There is no "common path" where every country is becoming more or less equal.
However, there is a strong link between land size and money: where land is concentrated, money is usually concentrated too.
The garden is a patchwork quilt. Some squares are becoming more equal, others are becoming more dominated by giants, and the patterns are deeply rooted in local history, geography, and how different countries apply EU rules.

In short: European farming is not becoming a single, uniform giant. It is becoming a complex mosaic where the rules of the game change depending on which side of the border you are on.

1. Problem Statement and Research Context

The paper addresses the increasing concentration of the European agricultural sector, a trend characterized by a decline in the total number of farms alongside an increase in average farm size and standard output. While global literature acknowledges this fragmentation, there is a lack of granular, spatio-temporal analysis regarding how land concentration (physical size) and production concentration (economic size) evolve differently across EU regions.

The authors aim to investigate:

Whether there is a common trajectory of farmland and production concentration across and within EU countries between 2010 and 2020.
Whether a positive association exists between land concentration and production concentration, implying the relevance of economies of scale and scope.

The study contextualizes these questions within the historical framework of the Common Agricultural Policy (CAP), noting that while early CAP policies (e.g., the Mansholt Plan) explicitly encouraged consolidation for efficiency, recent reforms have attempted to mitigate these effects through rural development and redistributive payments, with mixed results.

2. Methodology

Data Source and Scope:

Data: The study utilizes Eurostat's "Main farm indicators by NUTS 2 regions" database.
Scope: It covers 236 NUTS-2 regions across 27 EU member states.
Timeframe: Four specific years: 2010, 2013, 2016, and 2020.
Variables:
- Utilized Agricultural Land (L): Measured in hectares (proxy for physical size).
- Standard Output (P): Measured in Euros (proxy for economic size/production).
- Farm Counts: Number of holdings.

Statistical Approach:

Stratification: Farms are stratified into $K=11$ economic size classes based on standard output.
Concentration Metric: The Gini Index is calculated for both land ( $Gini_L$ $G in i_{L}$ ) and production ( $Gini_P$ $G in i_{P}$ ) for each region and year. The calculation follows the grouped data specification by Brown (1994) and Cerqueti et al. (2024).
- $Gini = 0$ implies perfect equality (all farms have identical size/output).
- $Gini = 1$ implies perfect concentration (one farm owns all land/output).
Spatial Analysis: The authors employ Exploratory Spatial Data Analysis (ESDA) techniques:
- Global Moran's I: To measure global spatial autocorrelation (clustering of similar values across the EU).
- Local Indicators of Spatial Autocorrelation (LISA): To identify specific clusters (High-High, Low-Low, High-Low, Low-High) and outliers.
- Correlation Analysis: Linear regression to assess the relationship between $Gini_L$ and $Gini_P$ .

3. Key Contributions

Granular Spatial Resolution: Unlike previous studies often limited to national (NUTS-0) levels, this paper provides a high-resolution analysis at the NUTS-2 level, revealing intra-country heterogeneity often masked by national averages.
Dual-Metric Comparison: It explicitly compares the concentration of land versus the concentration of production, demonstrating that they do not always move in lockstep.
Post-2010 Focus: It fills a gap in the literature by analyzing the specific decade (2010–2020) following major CAP reforms (post-2013), offering insights into the effectiveness of recent policy instruments in curbing concentration.
Historical Contextualization: It links empirical findings to the historical evolution of the CAP, specifically the tension between Pillar I (direct payments often favoring large farms) and Pillar II (rural development aiming to support smaller farms).

4. Key Results

A. High Heterogeneity and Fragmentation

Country-Level: There is no single European trajectory. Concentration levels vary significantly between countries.
- Low Concentration: France, the Netherlands, Belgium, and Austria generally show lower Gini indices (more equitable distribution).
- High Concentration: Eastern European countries (Bulgaria, Romania, Hungary, Slovakia) and parts of Southern Europe exhibit high Gini indices, indicating high concentration.
Intra-Country Variability: Significant disparities exist within countries.
- Germany: A persistent East-West divide exists, with Eastern regions showing higher concentration than Western regions.
- Spain: A North-South divide in land concentration emerged, with the North becoming more concentrated over the decade.
- Italy: Unlike the clear North-South economic divide, land concentration patterns are fragmented and do not follow a strict geographical gradient.

B. Land vs. Production Concentration

Production > Land: In almost all regions, the Gini index for Standard Output ( $Gini_P$ ) is higher than for Farmland ( $Gini_L$ ). This suggests that economic power is more concentrated than physical land ownership.
Positive Association: A strong, positive linear correlation exists between $Gini_L$ $G in i_{L}$ and $Gini_P$ $G in i_{P}$ . As land becomes more concentrated, production becomes more concentrated.
- Implication: This supports the existence of economies of scale in agriculture; larger farms are not just bigger in size but are disproportionately more productive (or have higher output values).
- Divergence: In some cases (e.g., Greece), land concentration decreased (more equal land distribution) while production concentration increased, suggesting that efficiency gains or capital intensity on remaining farms drove output concentration despite land redistribution.

C. Spatial Autocorrelation and Clustering

Global Clustering: Moran's I statistics are positive and significant ( $p < 0.001$ ) for both metrics, confirming that neighboring regions tend to have similar concentration levels.
Regional Clusters:
- Low-Low Clusters: Found in Western/Central Europe (Benelux, Western Germany, Northern France, Austria). These areas have low concentration (more small/medium farms).
- High-High Clusters: Found in Eastern Europe (Romania, Hungary, Bulgaria) and parts of Southern Europe (Spain, Italy). These areas have high concentration.
Transnational Patterns: These clusters often transcend national borders, reflecting shared historical processes (e.g., the legacy of post-socialist collectivization in the East vs. family farm structures in the West).

5. Significance and Policy Implications

Policy Effectiveness: The findings suggest that while CAP measures (like redistributive payments and capping) have had some effect, they have not uniformly reversed the trend of concentration. The persistence of high concentration in Eastern Europe is linked to the post-socialist transition and the rapid consolidation of land by large entities.
Rural Sustainability: The concentration of production implies that small farms are losing market share, potentially threatening rural employment and social cohesion. The paper argues that maintaining a diverse farm structure is crucial for rural revitalization and preventing "desertification."
Environmental Link: The authors note that high concentration is often associated with intensive practices. Conversely, smaller, more diverse farms (found in low-concentration clusters) may be better suited for agro-ecological schemes (eco-schemes) and preventing land abandonment.
Future Research: The paper calls for further investigation into the link between concentration and environmental metrics (e.g., ammonia emissions) and the impact of farm type (organic vs. conventional) on these concentration dynamics.

In conclusion, the paper provides robust evidence that the European agricultural sector is undergoing a complex process of concentration that is spatially heterogeneous. While land and production concentration are positively linked, the degree of inequality varies drastically by region, driven by historical legacies, economic structures, and the differential implementation of EU policies.