Agricultural Policy Research Articles

The impact of land use and cover changes on river flows in Wundanyi Catchment of Taita Hills, Kenya (1970–2030)

<p>Taita hills are one of the most important biodiversity hotspots of Kenya but experiencing a high rate of deforestation due conversion of its original forestland to agriculture and settlement during the last century. These landscape dynamics coupled with rainfall fluctuations in these critical ecosystems may significantly affect water resource distribution and food security in Taita Taveta County and its environs. This study aimed to establish the trends of land use/cover change (LUCC) in Wundanyi catchment from 1970 to 2030 and predict their specific and combined effects on surface runoff and stream flow in the same period. The analysis was based on statistical trend analysis and dynamic landscape modeling using both historical and primary data from Wundanyi catchment, and Landsat TM and ETM+ imagery of Taita Hills for 1990, 2000, and 2010. Results show highly variable mean seasonal and annual values of discharge in Wundanyi catchment probably attributed to environmental changes affecting Taita Hills in general and Wundanyi catchment in particular. Compared to 1990, major land use/cover changes in 2010 were featured by the expansion of built-up area (250%), plantation forest (23.7%), broadleaved forest (17.4%), and thicket (15.9%). Was also notable the decrease in woodland (−30.3%), cropland (−21.6%), and shrubland (−0.8%). Dynamic spatial trends by the year 2030 will be evidenced by increased thicket by 0.41% per annum (<em>R</em><sup>2</sup> = 81.6%), and by decreased plantation forests (−0.13%; <em>R</em><sup>2</sup> = 91.3%), woodland (−0.10%; <em>R</em><sup>2</sup> = 77.6%), shrubland (−0.11%; <em>R</em><sup>2</sup> = 85.2%), broadleaved forests (−0.03%; <em>R</em><sup>2</sup> = 56.6%) and cropland (−0.09%; <em>R</em><sup>2</sup> of 84.4). These changes will shape the catchment landscape and influence its hydrology, unless the existing forest and agricultural policy interventions are enforced. Hence, crop diversification, agroforestry, and soil and water conservation structures are recommended to maintain effective control of LUCC on hydrological processes going on in the Wundanyi catchment.<strong></strong></p>

European Citizens’ Evaluation of the Common Agricultural Policy

The Common Agricultural Policy (CAP) is crucial in ensuring food safety and security in Europe. Providing a stable and diverse food supply also supports rural economies and promotes social, environmental and economic sustainability. However, as CAP consumes approximately 30% of the EU budget, debates regarding its pertinence have arisen. This paper aimed to understand European citizens’ perceptions of CAP, its associated benefits and their level of agreement regarding the allocation of the EU budget. Ultimately, the goal was to gain insights into EU citizens’ attitudes and perceptions towards the CAP. Information and data come from the European Survey Eurobarometer. The methods include statistical inferential techniques adjusted to the nature of the variables and goals. The findings confirm that European citizens generally perceive the CAP positively and have positive attitudes about the CAP. While some differences among various social groups may exist, the results did not identify any specific group strongly opposing the CAP. Overall, European citizens hold a favorable attitude towards the CAP, its associated benefits and budget allocation. This paper brings new insights into new European CAP measures and programs to promote food security and the sustainability of agriculture among European countries and citizens. These insights may be useful for public decision-makers to define better policies and measures adjusted to European citizens and to promote food security and sustainability.

Understanding the Heterogeneity of Swiss Alpine Summer Farms for Tailored Agricultural Policies: A Typology

Understanding the Heterogeneity of Swiss Alpine Summer Farms for Tailored Agricultural Policies: A Typology

Changes in Forest Cover of Municipalities in Poland in 1990–2018

The study is part of the trend of searching for research methods to demonstrate changes in forest cover at the level of basic units of public administration with greater precision and accuracy. The purpose of the article is to present, for the first time, changes in forest cover of municipalities in Poland from 1990 to 2018 using CORINE Land Cover (CLC) data. The contributions of this study are threefold. Firstly, using GIS and CLC data (3.1. Forests), multivariate analyses of forest cover changes were carried out for 2481 municipalities for the CLC data collection years (1990, 2000, 2006, 2012, 2018), which showed the temporal and spatial dynamics of changes, with a predominance of deforestation in 1990–2000 and 2012–2018, and afforestation in 2000–2006 and 2006–2012. Secondly, the formal, legal and financial rationale for these changes was indicated. The increase in afforestation was a result of financial incentives under the National Program for Increasing Forest Cover and the EU’s Common Agricultural Policy (under Rural Development Programs—RDPs). Deforestation was related to a decrease in the supply of land for afforestation, the competitiveness of subsidies implemented under RDPs, and statutory liberalization of logging. Thirdly, the main discrepancies between the data obtained from CLC and from the public data collected by Statistics Poland (GUS) and the State Forests were indicated, which ranged from −32 kha to +310 kha, corresponding to percentage differences of 2.3% and 1.8%, respectively. This was mainly influenced by the differences in the complexity and updating of data collected for state and private forests, as well as delays in introducing changes to the land register by the public administration. This work contributes significantly to our understanding of the dynamics of forest cover changes in relation to the actual degree of forestation and deforestation, and the determinants of forest transformation in Polish municipalities, as well as demonstrating the new applicability of CLC data and their limitations related mainly to the generalization of forest cover area.

Systemic barriers preventing farmer engagement in the agricultural climate transition: a qualitative study

AbstractFarmers and the agricultural sector are facing an uncertain future, due to rapidly changing agricultural policy and a nexus of commercial, environmental and biodiversity challenges brought on by anthropogenic climate change. Balancing the interests of the farming community and natural environment is generating organisational and personal conflict, rather than effective agricultural adaption and a focus on the net zero transition. In this paper, we consider how farmers and the wider farming community can participate in engagement and decision-making for the transition, on their own terms, whilst ensuring social justice for fair and equitable decision-making. We discuss findings from our research project, that used questionnaires and follow up semi-structured interviews with farmers and farming groups to reveal systemic issues that prevent farmers engaging with the climate transition to net zero during their everyday practice. We highlight the structural relationships that form these barriers and frustrate farmers when designing and implementing farm interventions to agricultural systems during times of transition. Farmers have highlighted barriers to be associated with policy, (uncertain government strategy, landowner bias in government policy and tenancy restrictions, government bureaucracy—particularly environment schemes), commercial (market forces—downward pressure from supermarkets on price points, availability of labour due to seasonal migration restrictions, increasing cost of labour) and interpersonal (succession—uncertain future of the family farm due to limited income). This frustrates the ability of farmers to address climate change through farming practices and undermines the implementation of innovative engagement practices, such as co-produced interventions, in policy and decision-making settings.

National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series

Accurate and continuous maps of maize distribution are essential for food security and sustainable agricultural development. However, there are no continuous national-scale and fine-resolution maize maps and explicit updated information on the spatiotemporal dynamics of maize for most countries. Maize mapping at the national scale is challenging due to the spectral heterogeneity caused by crop growth conditions, cropping patterns, and inter-annual variations. To this end, this study developed a novel crop index-based algorithm for national-scale maize mapping. Compared to other crops, maize is characterized by large-leaf-dominated canopies and high photosynthetic efficiency. Maize shows significant changes in chlorophyll and anthocyanin content. Therefore, a robust maize index was established by exploring the temporal Variation of the Vegetation-Pigment index (VVP) during the growing period. A simple decision rule was coded on the Google Earth Engine (GEE) platform, which was used for maize mapping based on the Sentinel-2 time series in China and the contiguous United States (US) from 2018 to 2022. The national-scale 10 m annual maize maps for China and the contiguous US were developed and in good agreement with the corresponding agricultural statistics data for many years (R2 > 0.94) and 9,412 reference points (overall accuracy of 90.09 %). Compared with simply applying the vegetation index, the VVP index took account of spectral heterogeneity caused by variations in crop growth conditions, cropping patterns, and inter-annual, and the omission error of maize was reduced by over 20 %. Moreover, the VVP index can significantly improve the spatial transferability of the Random Forest (RF) classifier. The first 10 m annual maize maps for China revealed that the planted area trend decreased and then increased from 2018 to 2022. The year 2020 was the turning point. The maize planted area consisted of 68 % single maize and 32 % double cropping with maize in 2020, with the northern boundary for double cropping with maize in the Yanshan Mountains. The maize planted area in China consistently decreased by 39,352 km2 (about 9 %) from 2018 to 2020. This is mainly due to the adjustment of the maize-planted structure in the “Sickle Bend” region of China (the “Sickle Bend” policy). However, the maize planted area gradually recovered from 2020 to 2022, primarily concentrated in regions with ever-planted. This study will provide essential information for cropping structure adjustment and related agricultural policy formulation and contribute to sustainable agricultural development by mapping maize from a national to a global scale.

What, How, Why? An Outline of the State’s Attitude Towards Agriculture and Farmers in Early Yugoslav Socialism, 1945–1953 (With an Emphasis on Slovenia)

In this review article, the author presents the crucial factors regarding the legal provisions that shaped agricultural policy in early socialism in Yugoslavia (1945–1953). In doing so, he focuses on the developments in agriculture in Slovenia. The article presents the agrarian question (the issue of land and its ownership) and the agricultural question (the attitude of the authorities towards peasants as a social and professional group). It outlines the agrarian reform in Slovenia (1945–1948), its impact (consequences), and the intervention of the authorities in agriculture to provide for the population. These interventions included the collectivisation of agriculture based on the model of the Soviet Union’s kolkhozes. The authorities’ attitude towards agriculture included pragmatic reasons (supplying the population) as well as political and ideological motives.

Does government food demonstration interventioninfluence household dietary diversity in the Upper West Region of Ghana?

Dietary diversity is crucial in ensuring food and nutrition security. In low-middle-income countries, people frequently prioritize the quantity of food they consume over its quality due to a lack of availability and financial limitations. As a result, achieving dietary diversity is often overlooked in favor of ensuring adequate caloric intake. Through a social cognitive theory perspective, our study examines the relationship between food demonstrations and household dietary diversity in Ghana's Upper West Region utilizing cross-sectional survey data from 517 smallholder farmer households. The results from ordered logistic regression presented in odds ratio (OR) show that participating in food demonstrations (OR: 2.585, p<0.01), engaging in home gardening (OR: 1.932, p<0.001), having access to credit (OR: 1.609, p<0.01), self-rated good nutritional status (OR: 1.747, p<0.01), and Waala ethnicity (OR: 3.686, p<0.001) were all positively associated with high household dietary diversity. Conversely, living in the Wa West district was associated with lower dietary diversity (OR: 0.326, p<0.001). Our research findings suggest that policymakers may want to consider implementing community-based educational programs, such as home and school visits for food demonstrations and sensitizations, promoting mother-to-mother support groups for dietary diversity education, nutrition counseling services, and using role-play and local media. In addition, strengthening local agricultural policies through food banks, indigenous seed development, and mobile food markets and enhancing public-private partnerships like the Ghana Schools Feeding Programme and National Food Buffer Stock company could improve the supply chain and distribution networks for diverse food items. Implementing these interventions in the Upper West Region of Ghana could improve health, well-being, food security, and nutritional outcomes.

Extracting the winter wheat using the decision tree based on time series dual-polarization SAR feature and NDVI.

Winter wheat is one of the most important crops in the world. It is great significance to obtain the planting area of winter wheat timely and accurately for formulating agricultural policies. Due to the limited resolution of single SAR data and the susceptibility of single optical data to weather conditions, it is difficult to accurately obtain the planting area of winter wheat using only SAR or optical data. To solve the problem of low accuracy of winter wheat extraction only using optical or SAR images, a decision tree classification method combining time series SAR backscattering feature and NDVI (Normalized Difference Vegetation Index) was constructed in this paper. By synergy using of SAR and optical data can compensate for their respective shortcomings. First, winter wheat was distinguished from other vegetation by NDVI at the maturity stage, and then it was extracted by SAR backscattering feature. This approach facilitates the semi-automated extraction of winter wheat. Taking Yucheng City of Shandong Province as study area, 9 Sentinel-1 images and one Sentinel-2 image were taken as the data sources, and the spatial distribution of winter wheat in 2022 was obtained. The results indicate that the overall accuracy (OA) and kappa coefficient (Kappa) of the proposed method are 96.10% and 0.94, respectively. Compared with the supervised classification of multi-temporal composite pseudocolor image and single Sentinel-2 image using Support Vector Machine (SVM) classifier, the OA are improved by 10.69% and 5.66%, respectively. Compared with using only SAR feature for decision tree classification, the producer accuracy (PA) and user accuracy (UA) for extracting the winter wheat are improved by 3.08% and 8.25%, respectively. The method proposed in this paper is rapid and accurate, and provide a new technical method for extracting winter wheat.

Agricultural land use policies and landscape dynamics: Evidence from rainforest agroecological zone

Agricultural-land use policies play a crucial role in shaping agroecological landscapes globally. The evidence suggests that some of these policies tend to have undesired feedback/trade-offs, particularly about coastal resource use and conservation planning. The present study explores how agricultural policies influence land use/land cover (LULC) transition patterns in Ghana's Rain Forest Agroecological Zone (RFAZ). Landsat satellite images for 1991, 2008, and 2022 were acquired for the LULC mapping. Change detection and Intensity analysis were used to assess the pattern of land change. Also, documentary research processes were used to review and assess agricultural land use policies. The results showed that before rubber-related policy implementation, oil palm plantation was the dominant LULC type in the 1990 s. In the 1990 s and early 2000 s, there was a conscious government drive to leverage oil palm plantation development. This led to the growth in the size of oil palm plantations within the RFAZ landscape, considering the zone’s conducive natural environment. However, between 2008 and 2022, corresponding to the period of the increased promotion of rubber cultivation through the Outgrower project in the RFAZ, rubber plantations became the predominant land use, with an area of 11,763.81 ha in 2008 and 21,611.61 ha in 2022. The results from the LULC mapping and the intensity analysis showed that the Rubber Outgrowers Plantation Project (ROPP) and Norpalm Smallholder Scheme Project (NSSP) have degraded the natural cover through rubber and oil palm cultivation. The authors conclude that landscape dynamics, particularly in rainforest agroecological zones, represent a nexus challenge transforming policy adaptation's discursive context. The study recommends that agriculture and landscape policy/projects must have/take intermediary steps to address the feedback/trade-offs from well-intended initiatives. The study further suggests that management plans and strategies in the RFAZ should be consistent with the strict protection of forest reserves and water bodies.

Interpreting Different Narratives about Land Services and Land Use Economics of Common Agricultural Policy

Since 2023, a new format of the Common Agricultural Policy (CAP) has been implemented in Europe. Market forces alone cannot guarantee land services, which can be described as flows of goods and services from ecosystems to human systems as functions of nature. Market forces also cannot ensure food security everywhere and at all times, so deliberate measures should incentivize farmers to adopt sustainable agricultural practices and maintain necessary skills and resources. This study identifies, quantifies, and interprets four narratives that are typical in the approach to food security and the public debate about the land services in the CAP Strategic Plans: (A) provision of land services within the Pillar 1 economics; (B) small vs. large farms; (C) direct payments in comparison with rural development; and (D) choices by the old and new member states. Participatory processes, descriptive statistics, and partial component analysis were used in terms of the methodology. The key finding is that the importance attached to eco-schemes varies among member states, although a majority dedicate approximately 25% of the Pillar 1 budget to them. We showed that small-scale farming countries move resources from Pillar 2 to strengthen direct payments. In contrast, affluent countries with robust agricultural structures can afford to reinforce Pillar 2 rural development through transfers from direct payments. To support small-scale and medium farms, appropriate support requires a combination of several measures, including the sizable hectare payment in Pillar 1 and farmer-oriented agri-environmental measures.

Correction to: Economics of Informed Antibiotic Management and Judicious Use Policies in Animal Agriculture

Correction to: Economics of Informed Antibiotic Management and Judicious Use Policies in Animal Agriculture

A density map-based method for counting wheat ears

IntroductionField wheat ear counting is an important step in wheat yield estimation, and how to solve the problem of rapid and effective wheat ear counting in a field environment to ensure the stability of food supply and provide more reliable data support for agricultural management and policy making is a key concern in the current agricultural field.MethodsThere are still some bottlenecks and challenges in solving the dense wheat counting problem with the currently available methods. To address these issues, we propose a new method based on the YOLACT framework that aims to improve the accuracy and efficiency of dense wheat counting. Replacing the pooling layer in the CBAM module with a GeM pooling layer, and then introducing the density map into the FPN, these improvements together make our method better able to cope with the challenges in dense scenarios.ResultsExperiments show our model improves wheat ear counting performance in complex backgrounds. The improved attention mechanism reduces the RMSE from 1.75 to 1.57. Based on the improved CBAM, the R2 increases from 0.9615 to 0.9798 through pixel-level density estimation, the density map mechanism accurately discerns overlapping count targets, which can provide more granular information.DiscussionThe findings demonstrate the practical potential of our framework for intelligent agriculture applications.

Sustaining altitude pastures in mountain landscapes–a fuzzy cognitive model approach

Similarly to other European mountain areas, in Serra da Estrela the grazing pressure has been reducing due to social and economic drivers that have pushed shepherds and sheep to the foothill, or plainly out of the sector. Shrub encroachment on commons and other previously grazed land is one of the most tangible effects of pastoral abandonment in Serra de Estrela. The impacts of the resulting increase in landscape continuity and biomass availability were made clear in the severe fires of 2017 and 2022. As fire risk is likely to increase with climate change, it becomes urgent to understand what strategies can be deployed to keep fragmentation in these landscapes. Key actors such as shepherds should be involved in this discussion to understand their perceptions, points of view and reasons for abandoning upland pastures. In this study, we use fuzzy cognitive mapping to identify the key variables and mechanisms affecting the pastoral system according to local shepherds. In our study, we developed with local stakeholders a framework outlining the local pastoral system. Based on that, we carried out the fuzzy cognitive mapping collecting 14 questionnaires. We found that shepherds' income is a central issue, but that it is highly dependent on many factors. Increasing the Common Agricultural Policy payments alone is not enough to incentivise the use of upland pastures. More targeted strategies, such as more support for shrub clearing, and direct payments conditional to transhumance are more impactful. Despite a contentious discourse between conservation and shepherding values in Serra da Estrela, we find that shepherd's values are aligned with biodiversity conservation and a potential nature-based solution for minimizing fire risk through woody fuel management. This opens up possibilities for new governance strategies, that put Serra da Estrela's social, environmental and cultural values at its core.

CURRENT PROBLEMS AND TRANSFORMATIVE ASPECTS OF TAXATION: THE CASE OF THE AGRARIAN SECTOR

The agricultural sector has significant significance since it serves as the primary provider of food, which is an essential need for sustenance. Nevertheless, the evaluation of its impact on national revenue, employment, international commerce, and the supply of raw materials to the sector reveals its strategic significance. Hence, nations prioritize the development and execution of accurate and enduring policies for the agriculture industry. The integration studies with the European Union (EU) play a significant role in the formulation and execution of agricultural policy. Hence, the diverse impacts of agricultural policy on the agricultural sector are influenced by the development pattern and outcomes in different nations. This course will focus on agricultural policy and the taxation regulations involved in agriculture policy.

Farmers’ needs, ideas and interests on the adoption of fossil energy free technologies and strategies in the EU

ABSTRACT This study investigates farmers’ needs, ideas and interests on the adoption of Fossil Energy Free Technologies and Strategies (FEFTS). 470 direct farmer surveys and 41 expert interviews were conducted in 8 EU countries to identify the barriers and drivers to the adoption of FEFTS, results were analysed using SPSS. The findings suggest that the adoption of FEFTS is driven primarily by economic factors, with cost reduction emerging as a dominant motivation for adopting renewable energy sources (RES) and energy-saving technologies/practices. Environmental concerns also play a significant role. Farmers indicate that financial support and access to tailored cost benefit models for their farms are important drivers to becoming FEFTS adopters. Based on these results we argue that enhanced financial support as planned in the Common Agricultural Policy 2023–2027 together with national advisory services that support innovation and knowledge transfer are necessary to drive the adoption of FEFTS in the agriculture sector.

FINANCING THE DEVELOPMENT OF AGRICULTURAL PRODUCTION IN EUROPEAN COUNTRIES: COMPARATIVE ANALYSIS AND EXPERIENCE FOR UKRAINE

Current trends in the development of agricultural production necessitate the attraction of additional financial resources to finance the agricultural sector, which are specific to each national economy. The article examines the priority directions of development of the mechanism for financing agricultural production in Ukraine in the context of current trends in the implementation of the common agricultural policy in Europe. A comparative analysis of the mechanism of additional financing of agricultural production in the EU countries was carried out in the implementation of the common agricultural policy. Clustering of European countries was carried out while taking into account the existence of patterns in the agricultural market and it was confirmed that these patterns do not determine the features and volumes of additional financing of agricultural production. The existence of twelve possible types of markets of agricultural products in European countries is determined and the existence in practice of six of them is confirmed. It is determined that there are significant violations in the policy of convergence of financing of the agricultural sector declared by the OAP, which confirms the need to reform the Common Agricultural Policy of European countries in the direction of greater compliance with the national problems of the European agricultural sector.It has been determined that there is a specific list of development problems that is not repeated for any of the European countries for the agricultural sector of Ukraine, and its own type of agricultural market has been formed, which also has no correspondence. The article focuses on the need to form in Ukraine a specific mechanism of additional financing of agricultural production, taking into account the problems of development of the national agricultural sector and in the context of the Common Agrarian Policy of the Economic Community, its priorities and direction of reform.

Can Agricultural Insurance Policy Adjustments Promote a ‘Grain-Oriented’ Planting Structure?: Measurement Based on the Expansion of the High-Level Agricultural Insurance in China

Ensuring national food security is a perennial topic, and securing the grain planting area is an essential solution. Cost savings at scale from agricultural insurance policy adjustments could be a powerful incentive for grain production. In this study, 527 data sets from 31 provinces in China from 2006 to 2022 were used as the sample, and the author applied a multi-stage DID model to measure the effects of agricultural insurance policy adjustments on the grain planting area and planting structure, as well as the influence mechanisms behind them. The results can be summarized as follows: Firstly, agricultural insurance policy adjustments can make a significant contribution to increasing the grain planting area, with some positive impact on the `grain-oriented’ planting structure. Secondly, agricultural insurance policy adjustments can significantly increase the grain planting area by increasing the application of agricultural machinery, but this mechanism does not affect the `grain orientation’ planting structure. Thirdly, agricultural insurance policy adjustments can have a significant positive impact on the grain planting area and `grain—oriented’ planting structure in both high- and low-risk areas, with low-risk areas being more affected than high-risk areas.

Cocoa Farmers and Agrochemical Safety Compliance:

This study addresses the lack of empirical insights into the adherence of cocoa farmers to safety protocols. Specifically focused on agrochemical safety compliance, the research employs a quantitative approach and collects data from 385 cocoa farmers in the Nzema East Municipal through a structured questionnaire. The analysis utilizes mean, standard deviation, frequency, percentages, and Tobit regression models. The study finds that cocoa farmers exhibit a high level of knowledge and preparedness in agrochemical handling practices, positive agrochemical usage practices, and proper agrochemical storage practices. Cocoa farmers employ integrated pest management strategies, using diverse fertilizers, insecticides, fungicides, and herbicides to address crop health and productivity challenges. Tobit regression results showed that the extent of use of agrochemicals was significantly influenced by marital status, household size, farming experience, cooperative membership, and access to spraying machines and personal protective equipment. The research highlights the importance of integrating safety considerations into agricultural policies and practices, emphasizing the role of knowledge and awareness in influencing farmers' practices. It suggests the need for targeted interventions and educational programs to enhance agrochemical safety compliance among cocoa farmers.

Determinants of the adoption of fungus-resistant grapevines: Evidence from Switzerland

Abstract The adoption of fungus-resistant grapevines may be a key strategy for substantially reducing fungicide use in pesticide-intensive viticulture. In a representative survey conducted among 436 grapevine growers in Switzerland, we elicited growers’ expected share of land devoted to fungus-resistant varieties in ten years. More specifically, using regression analyses, we explore the main predictors behind the stated adoption intentions. We find that one-third of new plantings in the next decade will be fungus-resistant varieties. As a result, the expected share of land devoted to fungus-resistant varieties in ten years is 27.4% (compared to 10.2% in 2022), thus increasing by 169%. Farmer- and farm characteristics explain most of the adoption dynamics, especially growers’ beneficial health perceptions about fungus-resistant varieties, which correlate positively with their expected land share devoted to these varieties. Moreover, non-organic grapevine growers are particularly likely to increase their land devoted to these varieties. These findings have important implications for agricultural policy and industry in Europe and elsewhere, facilitating the expected plantation increase using a policy mix tailored to farmer- and farm-level characteristics.