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Review

Twenty Years of Common Agricultural Policy in Europe: A Bibliometric Analysis

Istituto Pugliese di Ricerche Economiche e Sociali, 70122 Bari, Italy
Sustainability 2021, 13(19), 10650; https://0-doi-org.brum.beds.ac.uk/10.3390/su131910650
Submission received: 6 September 2021 / Revised: 21 September 2021 / Accepted: 22 September 2021 / Published: 25 September 2021

Abstract

:
The last few years have been marked by the increasing attention paid by policymakers to agricultural policies. Within this scenario, the Common Agricultural Policy represents one of the main initiatives developed by the European Commission to enhance the agricultural sector. Academics have actively contributed to the debate through empirical studies in order to evaluate the main strengths and weakness related to the public investments made by the European Commission. However, despite the relevance of the topic, the scientific debate is characterized by a high degree of fragmentation caused by the involvement of academics with different scientific backgrounds. Building on this evidence, this paper aims to contribute to the scientific debate on Common Agricultural Policy through a bibliometric analysis. The findings reveal the existence of three independent and complementary research clusters.

1. Introduction

The agricultural sector covers a central role within society. In particular, the agricultural sector can support the achievement of ambitious goals such as the mitigation of risks related to biodiversity losses and food security [1]. Furthermore, the agricultural sector impacts many environmental issues, such as climate change, cycles of nitrogen and phosphorus, water contamination, and soil degradation. Thus, it could represent an enabler of the mitigation of the risks related to the lack of controls and monitoring by governments [2,3].
The Eurozone is characterized by a high degree of attention paid by regulators and policymakers to the agricultural sector. Introduced in 1957, the Common Agricultural Policies (CAPs) have shaped the European Union’s agricultural sector [4] by supporting different practices that mitigate wide-scale biodiversity loss [4] and by the mitigation of the negative externalities related to climate change, soil erosion, and land degradation. In 2019, the European Commission invested more than EUR 58 billion in the sustainable agricultural sector through different initiatives, such as market measures (EUR 2.37 billion), rural development (EUR 14.18 billion) and income support (EUR 41.43 billion) [5]. However, many criticisms have been made by policymakers regarding its effectiveness. In this sense, taking into consideration these limitations, the CAP has changed its skin several times, modifying its tools and objectives [6].
The new CAPs (post-2020) proposed in June 2018 underlined the need to give more attention to environmental and sustainability issues. In particular, the new CAPs introduced a New Green Architecture and a delivery model that offers Member States the possibility of greater flexibility to implement the CAPs. With this new formulation, the new CAPs have a series of new objectives directed towards policy integration and multi-disciplinary research to achieve food system sustainability targets. In fact, with a series of nine specific objectives, this new reform is seeking to improve the environmental, social, territorial, and health aspects connected to agriculture sustainability, and not only the productive and economic aspects of the precedent reforms [7].
In the last decades of the 20th century, research interest in the political reform of the agricultural sector has increased. However, the scientific debate on CAPs is highly fragmented due to the coexistence of different perspectives. Indeed, the purpose of this study is to systemize the scientific knowledge about CAPs, and to try to identify future research lines to give support to researchers, policymakers, and entrepreneurs. Building on prior bibliometric studies [8,9], this paper aims to identify the main contributions provided by academics to the debate about CAPs through a multidimensional approach based on the integration of different indicators such as co-citation, citation analysis, and co-occurrences [10].
The rest of the study is structured as follows. First, the methodology is discussed, describing the methods and databases. Then follows the principal results obtained in both the descriptive and bibliometric analyses, in addition to a discussion of the same. Finally, in the conclusions section, limitations and a subsection on suggested future research are provided.

2. Methodology

In the last few years, many academics have underlined the need to support the interactions between academics, practitioners, and policymakers. Sharma and Bansal [11] argued that literature reviews should support this process via the ability to focus the analysis on specific topics with direct managerial implications. Furthermore, literature reviews can be relevant for the comprehension of the managerial implications of agricultural policies [12,13,14].
In the methods of literature reviews, bibliometrics are a methodological approach widely used to collect quantitative insights regarding emerging or consolidated topics [10]. Contrarily to traditional literature reviews, bibliometric studies consist of a quantitative approach based on the conjoined analysis of multiple indicators such as co-citation, citation, and bibliographic coupling [8,15]. In this sense, they provide insights regarding the field and its theoretical roots.
Building on preliminary evidence, the analysis was built with Bibliometrix, a software widely used to conduct bibliometric analysis [16]. Bibliometrics is an open source tool based on R, a statistical software used by academics and data scientists for data analysis and visualization. In this sense, bibliometric analyses are also supported by graphical representations, which useful to the evaluation made by researchers [17]. Furthermore, the analysis was integrated through the adoption of VosViewer, a software widely adopted by academics to conduct bibliometric research [15].
The research protocol used to conduct the research consists of (a) data collection, (b) descriptive analysis and (c) bibliometric analysis. The data were retrieved from Scopus, one of the main databases used by academics to conduct bibliometric analyses. Despite the coexistence of many scientific databases, the analysis was conducted on Scopus in order to consider only theoretical contributions characterized by an adequate degree of scientific soundness. The use of the Scopus database avoids potential bias and/or omissions related to the analysis of a limited set of journals [18]. In addition, we have checked the consistency of our sample with cross-checks via WoS.
To evaluate the scientific debate around the CAPs, we used the following criteria:
  • Keywords—“Common Agricultural Policy”;
  • Language—“English”;
  • Source type—Scientific Journal.
The analysis considered only papers published in the English language. The choice to consider only papers published in journals instead of books, book chapters, and conference proceedings is related to the central role played by journals in the current scenario. In this sense, the methodological approach used avoids the risks related to the duplication of research.
The period considered in the analysis was between 2001 and 2020. Papers published in 2021 were not considered due to the revision of the CAPs in 2021–2027, while the choice to consider 2001 as the starting point was related to the opportunity to evaluate the large time span of 20 years.
As regards the specific bibliometric methods used to evaluate the field, the analysis was built with multiple indicators focused on three different perspectives: a) authors, b) sources, and c) documents. Despite the interlinkages between the three dimensions, their analyses provide different insights. Furthermore, for each perspective, we have considered different indicators in order to understand the past, the present, and the future of the scientific debate on CAPs [19,20].
The final sample consists of 1824 documents published in 544 sources. The most prolific year was 2019, and the average increase over the period is 11.91%. In this sense, the field could be considered relevant for academics, as evidenced by the increasing number of studies published over the years.

3. Results

A bibliometric approach provides detailed information and insight regarding the evolution of scientific fields or topics. To give a full perspective of the evolutionary pathways that have characterized the field and identify the most influential studies, topics, and sources, we used a comparative approach to bibliometrics that compares and integrates the results from different indicators, as previously described in the methodology section. The results are presented with three different perspectives according to the unit of analysis under investigation: authors, journals, and documents; in addition, we provide the identification of conceptual themes and keywords.

3.1. Authors Analysis

Regarding the analysis at the authors level, the findings show three different steps of analysis; the first level shows the most relevant authors (Figure 1), secondly, the most locally cited (Figure 2), and thirdly, results about the authors’ country’s scientific production (Figure 3).
The findings underline that in recent years, many researchers have investigated the CAPs and their effects. This attention has led to the realization of a substantial stream of research. The dataset included 4127 authors of 1824 publications. It is interesting to note that, according to the relevance of the agricultural sector in the Italian context, most of the authors with a high number of publications are Italians (Figure 1), such as Viaggi, Galluzzo, Raggi, Severini Bartolini, and Capitanio. The other authors with the highest numbers of articles about CAPs come from the UK, Greece and Europe. It is interesting to note the scientific contribution of Galluzzo, because, during the period considered in the analyses, he wrote 20 articles under a single name.
In addition, the analysis reveals that the authors with the highest numbers of citations are different from those presented in Figure 1, where we found primarily Italian’s authors. In Figure 2, we see that the authors with a number of citations of more than 300 are Cian (328), Kleijn (320) and La Truffe (303).
Figure 3 represents the most important research outputs in this first step of the analysis; it represents the country’s scientific production and provides us very important information about the geographical distribution of the research output. The majority of the scientific outputs were developed in Europe, in particular, the UK (492), Italy (486), and Germany (442). Outside the European context, most studies were published in the USA (around 90), confirming the importance of the agricultural sector in the USA, and their knowledge about public policy in this sector.

3.2. Source Analysis

The second step of the analysis is focused on the analysis of the journals that have dealt with the CAPs. The analysis of the journal is very important because it allows us to provide a picture of the outlets that have most contributed to the development of Common Agricultural Policy from 2001, with three different perspectives. In this section, we analyze the journal in which has been published the highest number of articles on agricultural policy (most prolific journals), the journal with the highest number of citations (to show which havs the high scientific impact on the scientific community in this field; most cited journal), and finally, we investigate the annual trend in the number of articles in the most important journal to determine the evolution of scientific research.
The dataset used for the analysis is composed of publications from 544 journals; from the analysis of the most prolific journal, it is possible to identify which are the main topics treated as part of Common Agricultural Policy, and which are the future developments. These include financial support, farmer’s income, rural development, sustainability, food security and management of natural resources [21,22,23,24,25]. The journals with the highest numbers of articles are Land Use and Policy (139), Eurochoices (69), Journal of Agricultural Economics (41), and Sustainability (40).
In addition, Table 1 provides some information about the most cited journals. The average number of citations per journal was 19.44. The greatest numbers of citations were from Land Use Policy (1301), American Journal of Agricultural Economics (705), Journal of Agriculture Economics (607), Agriculture (576), and Agriculture Ecosystem and Environment (572), each with more than 500 citations. These journals appear to be the most impactful journals after 2001 on this topic. Is important to underline that, except for the first position occupied by the Land Use and Policy journal, there are variations in the rankings of most-cited journals and most prolific journals, pointed out that there is no correspondence between publication and impact on the scientific community.
Figure 4 investigates the trend between articles published and journals. It is possible to affirm that, from this point of view, the principal journals are consolidated with a positive trend over the period considered (2001–2020). It is important to underline the trend shown by the Sustainability journal, which registers exponential growth in this field; it is the journal that has contributed the most to the development of this research field in the last year. In this second step of the analysis, it is found that the scientific investigation of agricultural policy, sustainability and rural development is mostly published in sectorial journals.

3.3. Documents’ Analysis

In recent years (in particular from 2019), the evolution of the field in terms of the volume of scientific production has shown exponential growth in the number of articles investigating agricultural policy (Figure 5). The year 2019 registered an increase of over 11%, demonstrating that this is a relevant topic for academics. This exponential growth is linked with the necessity to investigate the effects of PAC 2014–2020, and to determine the scientific soundness for the implementation of the new PAC 2021–2017 [26,27,28].
The analysis of the references cited is developed in two stages. In Table 2, we show the paper with the highest number of citations and the average citations per year, to give a substantial measure of the impact of this paper in the research community, while Table 3 provides a different citation analysis. In this table, we list the articles in the dataset (via co-citation analysis) that were cited by the others articles in the sample, providing a picture of the contributions of the main references that have influenced the development of the field in recent years.
Table 2 represents the most cited paper in the sample; this tables provides some information in two levels, both in absolute terms and in relative terms (weighting the citation number by the number of years). For this reason, we have two indicators, Total Citation and Tc per Year (total citation per year).
The most cited papers in the sample in absolute terms are:
  • Olesen and Bindi (2002), with 863 citations. In their paper, they pointed out the consequences of climate change on European agricultural productivity and the role of agricultural policy in supporting the mitigation and adaptation of European agriculture against climate change [29];
  • Stoate et al. (2001), with 818 citations, analyzed the ecological impact of arable land and the necessity to implement the EU Rural Development Regulation [30];
  • Stoate et al. (2009), with 761 citations, provided an overview of the ecological status of agricultural systems across the European Union in light of recent policy changes [31].
For the second indicator, TC per year, the three most important papers with over 50 citations on average are:
  • Panagos et al. (2015) investigated the effects of soil erosion on Europe’s agricultural productivity, thanks to the application of a modified version of the Revised Universal Soil Loss Equation (RUSLE) model (RUSLE2015), and evaluated the impacts of policy interventions (CAPs) [32];
  • Stoate et al. (2009) have an index of Total Citation per Year of around 58.5%;
  • Batàry et al. (2015) evaluated the effects of Agri-environmental schemes (AES) on species and ecosystem conservation in Europe. This is a very important study because AES represent a major source of nature conservation funding within the European Union [33].
Table 3 shows which documents were cited several times by the others articles in the sample.
Below, we identify the most connected references, which can be considered the main theoretical pillars of the field.
  • Tranter et al. (2007). Food Policy, 32(5–6), 656–671.
In their paper, they evaluate among three European countries (Germany, Portugal, and UK) the effects of decoupled income support for farmers, called Single Farm Payment (SFP), introduced by the CAP 2003 reform [34];
  • Gocht et al. (2017). Journal of Agricultural Economics, 68(3), 651–681.
In this paper, the authors investigate the economic and environmental impacts of CAP greening introduced by the 2013 CAP reform using the CAPRI model. The findings show that both the economic (land use, production, price, and income) and environmental impacts are very small [35];
  • Rizov et al. (2013). Journal of Agricultural Economics, 64(3), 537–557.
The purpose of this paper was to investigate the effects of the subsidies introduced by the Common Agricultural Policy on on-farm productivity in the European Union [36].
Briefly, Table 3 analyzes the documents via two different co-citation analyses, denoting a comparative approach that constitutes the basis of our study. The findings show how the different approaches provide quite different results, confirming the usefulness of a comparative approach to bibliometrics when identifying studies of influence.

3.4. Keyword Analysis

When analyzing the content of the articles, the analysis of the co-occurrence of keywords is very useful, according to Fakhar Manesh et al. This analysis is based on the idea that a research specialty can be identified by the particular associations established between its keywords. This analysis provides us the thematic areas/clusters that make up the theoretical building blocks or foundational topics for the field under inquiry [37].
From the results of the keyword analysis (Figure 6), it is possible to obtain three groups, i.e., Political Economy (green cluster), Agricultural Planning (red cluster) and Biodiversity (blue cluster). These finding are very important because they are representative of the new formulation of CAP 2021–2027, where, in addition to the economic aspect of supporting the farmers, more objectives linked to environmental sustainability and rural development have been introduced, showing that the scientific community made a very important contribution in the construction of the new formulation [24,38,39].
Another useful approach is to use overlay visualization. Figure 7 represents the temporal distribution of the keywords in each cluster. The novelty of this approach is that, in the diagram, the keywords are colored according to a score, which is assigned based on the average years of occurrence of each keyword, allowing us to capture the temporal evolution of a phenomenon and the issues dealt with within the scientific community. The range of colors varies from blue to green to yellow, where blue indicates older years, while green and in particular yellow refer to more recent years.
The analysis highlights the evolutionary pathway of CAP during the last twenty years. In particular, the emerging themes concern biodiversity and sustainability, and the issues related to the policies of specific nations have now been adopted by a more systemic approach than community policies.

4. Discussions

The bibliometric analysis represents a methodological approach widely used by academics to analyze the state-of-the-art of a specific field of studies. However, bridging the gap between theory and practice requires the adoption of a scientific and systematic approach inspired by the need to extract insights from the analysis. In this sense, we have identified a set of implications related to each of the three clusters identified in the study.

4.1. Green Cluster: Political Economy

In the last twenty years, the European Commission has invested many financial resources to sustain the CAP. In this sense, the specific focus of academics on the political dimension of the CAP represents a direct consequence of the European scenario. In particular, the two main research lines can be synthesized in the form of regional studies and financial dynamics. The regional studies analyze the impacts related to the introduction of agricultural policies in different contexts, such as the south [29,40], the east [21], the west [2,34], and the north of Europe [31,41]. Furthermore, other studies were conducted to identify the effects related to the implementation of reforms [25,28]. The studies on financial dynamics cover different topics. In particular, the bibliometric analysis reveals the existence of research about financial risks [42], subsidies [23] and economic dimensions [21]. Furthermore, other studies have identified the main constraints and opportunities related to the investments made by the European Commission to support entrepreneurs and farmers [24,36]

4.2. Red Cluster: Agricultural Planning

The concept of agricultural planning covers different topics, such as the geographical and economical dynamics of rural areas. In fact, the need to consider critical issues such as climate change and food security in public policies has been followed by several initiatives to mitigate negative externalities [3,43]. Furthermore, many studies are focused on the rural development and requalification of these particular areas [22,44,45].

4.3. Blue Cluster: Biodiversity

The third cluster (blue) addresses the concept of biodiversity. The blue cluster is directly related to the CAP’s aims. In fact, one of the latest reports published by the European Commission stated: “Farmers have a double challenge—to produce food whilst simultaneously protecting nature and safeguarding biodiversity. Using natural resources prudently is essential for our food production and for our quality of life—today, tomorrow and for future generations”, [5]. Thus, this represents a critical research area for academics interested in actively contributing to policymaking.
In these years, this topic has played an important role due to the increasing intensification of agriculture, which has generated losses of semi-natural habitats and crop diversity [46,47,48]. In this scenario, the interest of academics is focusing on whether or not CAP reforms really facilitate increases in biodiversity [49,50]. The results in this direction are very confused, because some researchers state that, due to the voluntary adoption of the second pillar—in particular, farmers tend to adopt this type of measure with simple management actions, with limited results in terms of biodiversity—the spread of more complex actions is very limited [51,52]. To address these limitations, many studies have been conducted in order to assess the relationship between biodiversity and CAP, in order to provide some information that will assist the implementation of CAP 2021-2027, because the effects of the CAP reforms on biodiversity could be different depending on the complexity of the farm enterprise [27], the countries where the agricultural holdings are located [53,54], the landscape characteristic of the country [55,56], and the compatibility of direct payment schemes [57,58].

5. Concluding Remarks

In the last few years, there have been many investments made by the European Commission to sustain the development of the agricultural sector, which represents a critical sector within the European context. Academics have underlined the relevance of these initiatives, as evidenced by the increasing number of scientific papers published in the last few years. In fact, public investments are usually considered as strategic drivers for the development of a more effective agricultural sector.
This paper aims to systematize the scientific knowledge about CAP through bibliometric indicators. Despite the increasing involvement of academics in policymaking, the future of an economic system based on continuous engagement between academics, policymakers and practitioners remains characterized by many cultural barriers. In this sense, bridging the gap between scientific and managerial knowledge represents a critical challenge for academics interested in actively contributing to the development of political tools useful to support farmers and agricultural organizations. In this sense, the main aim of the study consists of, firstly, the attempt to systematize a scientific debate characterized by different point of view. In fact, contrarily to other research areas, the scientific debate about CAP is influenced also by the involvement of academics with different scientific backgrounds, such as economists, jurists and biologists.
Building on this evidence, the analysis reveals the opportunity for European policymakers to involve academics in their decision-making processes. The coexistence of different research areas underlines the opportunity to identify new evolutionary pathways through the main insights collected by academics through their evidence-based approaches. In this sense, the knowledge transfer between academics, policymakers and practitioners could represent a strategic driver for development in the agricultural sector.
The attempt to systematize the scientific debate on CAP through bibliometric indicators could be supported by the development of new studies based on alternative methods. In fact, bibliometric analysis is subject to some criticisms related to the adoption of digital tools. In this sense, future research could combine bibliometric analysis with qualitative reflections based on methods such as systematic literature reviews and Latent Dirichlet Allocation (LDA).

Funding

This research received no external funding.

Data Availability Statement

The data are available on request.

Conflicts of Interest

The author declares no conflict of interest.

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Figure 1. Most relevant authors.
Figure 1. Most relevant authors.
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Figure 2. Most locally cited authors.
Figure 2. Most locally cited authors.
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Figure 3. Country scientific production.
Figure 3. Country scientific production.
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Figure 4. Annual trend in the number of articles in the most important journals.
Figure 4. Annual trend in the number of articles in the most important journals.
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Figure 5. Article per years.
Figure 5. Article per years.
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Figure 6. Network diagram of the co-occurrence of keywords. Source: own elaboration.
Figure 6. Network diagram of the co-occurrence of keywords. Source: own elaboration.
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Figure 7. Overlay diagram of the co-occurrence of keywords. Source: own elaboration.
Figure 7. Overlay diagram of the co-occurrence of keywords. Source: own elaboration.
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Table 1. Most cited journals.
Table 1. Most cited journals.
SourcesArticles
LAND USE POLICY1301
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS705
JOURNAL OF AGRICULTURAL ECONOMICS607
AGRICULTURE576
AGRIC ECOSYST ENVIRON572
EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS494
JOURNAL OF RURAL STUDIES483
SCIENCE409
JOURNAL OF APPLIED ECOLOGY392
FOOD POLICY387
J RURAL STUD340
AGRICULTURAL ECONOMICS339
SOCIOLOGIA RURALIS332
ECOL ECON321
J APPL ECOL320
BIOLOGICAL CONSERVATION319
AGRIC SYST289
NATURE285
ECOLOGICAL ECONOMICS280
JOURNAL OF ENVIRONMENTAL MANAGEMENT280
Table 2. Most cited papers in the sample.
Table 2. Most cited papers in the sample.
PaperDOITotal CitationsTC Per Year
OLESEN JE, 2002, EUR J AGRON10.1016/S1161-0301(02)00004-786343.15
STOATE C, 2001, J ENVIRON MANAGE10.1006/jema.2001.047381838.9524
STOATE C, 2009, J ENVIRON MANAGE10.1016/j.jenvman.2009.07.00576158.5385
FREIBAUER A, 2004, GEODERMA10.1016/j.geoderma.2004.01.02159933.2778
KLEIJN D, 2001, NATURE10.1038/3509954048923.2857
PANAGOS P, 2015, ENVIRON SCI POLICY10.1016/j.envsci.2015.08.01247267.4286
FAAIJ APC, 2006, ENERGY POLICY10.1016/j.enpol.2004.03.02637723.5625
BATARY P, 2015, CONSERV BIOL10.1111/cobi.1253636652.2857
STRIJKER D, 2005, BASIC APPL ECOL10.1016/j.baae.2005.01.00128116.5294
PANAGOS P, 2015, LAND USE POLICY10.1016/j.landusepol.2015.05.02127038.5714
SRBINOVSKA M, 2015, J CLEAN PROD10.1016/j.jclepro.2014.04.03626437.7143
LUO Z, 2010, GEODERMA10.1016/j.geoderma.2009.12.01223819.8333
FISCHER J, 2012, CONSERV LETT10.1111/j.1755-263X.2012.00227.x23223.2
DARNHOFER I, 2010, AGRON SUSTAINABLE DEV10.1051/agro/200905321317.75
DONALD PF, 2002, AGRIC ECOSYST ENVIRON10.1016/S0167-8809(01)00244-420810.4
CONCEPCIN ED, 2008, LANDSC ECOL10.1007/s10980-007-9150-220614.7143
POTTER C, 2005, PROG HUM GEOGR10.1191/0309132505ph569oa20512.0588
PICAZO-TADEO AJ, 2011, J ENVIRON MANAGE10.1016/j.jenvman.2010.11.02519918.0909
KRAUSMANN F, 2003, LAND USE POLICY10.1016/S0264-8377(02)00048-01819.5263
WHITTINGHAM MJ, 2007, J APPL ECOL10.1111/j.1365-2664.2006.01263.x17811.8667
Table 3. Documents present in the sample most cited by others in the sample.
Table 3. Documents present in the sample most cited by others in the sample.
DocumentDOIYearLocal CitationsGlobal CitationsLocal Citations (%)
BATRY P, 2015, CONSERV BIOL10.1111/cobi.1253620154136611.20
LOWE P, 2002, J RURAL STUD10.1016/S0743-0167(01)00025-020023417519.43
RIZOV M, 2013, J AGRIC ECON10.1111/1477-9552.120302013319532.63
TRANTER RB, 2007, FOOD POLICY10.1016/j.foodpol.2007.04.0012007305851.72
BRADY M, 2009, J AGRIC ECON10.1111/j.1477-9552.2009.00216.x2009288532.94
MATTHEWS A, 2013, BIO-BASED APPL ECONOMICS 2013278332.53
STOATE C, 2001, J ENVIRON MANAGE10.1006/jema.2001.04732001268183.18
ZHU X, 2010, J AGRIC ECON10.1111/j.1477-9552.2010.00254.x2010259725.77
STOATE C, 2009, J ENVIRON MANAGE10.1016/j.jenvman.2009.07.0052009237613.02
POTTER C, 2005, PROG HUM GEOGR10.1191/0309132505ph569oa20052320511.22
PIORR A, 2009, ENVIRON SCI POLICY10.1016/j.envsci.2009.01.0012009227927.85
GOCHT A, 2017, J AGRIC ECON10.1111/1477-9552.122172017213855.26
BARTOLINI F, 2013, LAND USE POLICY10.1016/j.landusepol.2011.10.0072013206729.85
GOHIN A, 2006, J AGRIC ECON10.1111/j.1477-9552.2006.00058.x2006204643.48
PE’ER G, 2017, CONSERV LETT10.1111/conl.123332017199021.11
GORTON M, 2009, REG STUD10.1080/003434008025088022009197425.68
DONALD PF, 2002, AGRIC ECOSYST ENVIRON10.1016/S0167-8809(01)00244-42002192089.13
KLEIJN D, 2001, NATURE10.1038/350995402001194893.89
FISCHER J, 2012, CONSERV LETT10.1111/j.1755-263X.2012.00227.x2012182327.76
LOBLEY M, 2010, FOOD POLICY10.1016/j.foodpol.2010.04.0012010173844.74
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Fusco, G. Twenty Years of Common Agricultural Policy in Europe: A Bibliometric Analysis. Sustainability 2021, 13, 10650. https://0-doi-org.brum.beds.ac.uk/10.3390/su131910650

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Fusco G. Twenty Years of Common Agricultural Policy in Europe: A Bibliometric Analysis. Sustainability. 2021; 13(19):10650. https://0-doi-org.brum.beds.ac.uk/10.3390/su131910650

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Fusco, Giulio. 2021. "Twenty Years of Common Agricultural Policy in Europe: A Bibliometric Analysis" Sustainability 13, no. 19: 10650. https://0-doi-org.brum.beds.ac.uk/10.3390/su131910650

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