Fulltext search in archive

The land in the South Tasikmalaya Regency is dominated by dry land with a steep and hilly land contour. In addition, the area has a shallow soil solum, so it has a high potential for erosion and landslides. Therefore, it is necessary to innovate an integrated cultivation system that is economically feasible, but still maintains environmental sustainability. In this research, the aim is to formulate a model for the development of integrated plantation polyculture farming (IPPF) for the welfare of farmers. The method in this study uses a mixed method design. The location of the research carried out is in the Tasikmalaya Regency. The data used are the results of interviews and questionnaires to 250 IPPF farmers. The data used were obtained by multistage cluster random sampling. The sustainable IPPF development model was analysed using Structural Equation Modelling (SEM). This analysis is used to determine the various potential capital factors for agricultural development on the sustainable development of the IPPF and farmers’ welfare. The results of the study show that the potential development capital [natural resources (SDA) capital, economic capital, socio-cultural capital, physical capital, and multifunctional IPPF], jointly or partially affect the IPPF sustainability. Human resource capital has no effect on the sustainable IPPF development, while the sustainable IPPF development affects the farmers’ welfare levels, and the potential agricultural development capital and its multifunctionality affect the sustainable IPPF development and farmers’ welfare. The IPPF development model that improves the welfare of farmers is carried out through the development of specific local superior commodities, increasing the added value and cooperation, developing access to credit, regenerating farmers, sustainable assistance and infrastructure improvements. The results of this study are expected to be a reference for the government in improving IPPF sustainability to achieve the welfare of its farmers. Apart from that, the model that has been developed can make a contribution to science in the form of a comprehensive analysis of the factors that influence the sustainability of IPPF.

This study explores the ways in which small and medium enterprises (SMEs) have successfully implemented global supply chain management procedures that make the necessary adjustments to the realities of the specific problem, such as resource constraints, regulatory complexity, and supplier issues. It demonstrates how developing cooperation with partners grows the sustainability of the institutions. Another point highlights that government support and advancements in IT are enabling SMEs to streamline business processes and expand into new markets. Moreover, recommendations are supplied to the policymakers and practitioners, thereby instigating the SME's growth in developed countries. SMEs are using more creative and localised supply chain strategies to address these issues; frequently, the SMEs actors do this by working with regional suppliers and utilising government aid initiatives. SMEs can increase productivity, save costs, and enter new markets by streamlining operations, utilising technology, and adapting global supply chain management principles to local requirements. This study offers insights for policymakers, industry practitioners, and academics to design supportive policies for SMEs in developing countries. It highlights the importance of innovation, sustainability, strategic partnerships, and external support for SMEs' sustainable growth and inclusive economic development.

This study investigates the reciprocal relationship between non-farm employment and mechanisation adoption of smallholders in Vietnam using the longitudinal Vietnam Access to Resources Household Survey (VARHS) 2008–2016 dataset. By employing the correlated random effects with the Mundlak approach to address the selection bias from the unobserved heterogeneity of panel data and the instrumental variables regressions to treat the endogeneity issue of non-farm participation and mechanisation adoption, the findings revealed that non-farm employment and mechanisation adoption have a positive interactive relationship. The mechanisation adoption in agricultural production could save farm labour and allow farmers to engage in non-farm activities. Conversely, non-farm earnings could relax financial constraints and provide opportunities for farmers to invest in mechanisation. The agricultural labour shifting to non-farm work was replaced by hiring machinery services rather than machinery investment when the service market was available and cost-effective. Our study implies practical policies and actionable plans to encourage nonfarm employment and facilitate agricultural mechanisation toward sustainable agriculture and inclusive development in rural communities.

This study examined the bidirectional impact of Chinese agricultural subsidy policies on agricultural efficiency and farmers’ income. It employed panel data from 2004 to 2020 across 31 Chinese provinces, and the three-stage least squares method was used for simultaneous estimation. Different regions and farmer types were analysed separately. The findings revealed a significant bidirectional impact of the agricultural subsidy policy on agricultural efficiency and farmers’ income, signifying a strong positive feedback loop. Varied types and levels of subsidy policies differently impacted regions and farmer categories, showcasing diverse outcomes and adaptive responses to subsidy policies. The ratio of total subsidy to GDP (SUBGDP) positively impacted production efficiency and per capita disposable income. This result suggests that the subsidy policy helped enhance agricultural production efficiency and increased farmers’ income levels. Conversely, the ratio of various subsidies to the total subsidy manifested different directions and degrees of impact on production efficiency and per capita disposable income, suggesting areas where the subsidy policy framework can be optimised. In addition to presenting a theoretical discussion on agricultural subsidy policies, this study provides theoretical insights and policy recommendations for the formulation and implementation of an optimal agricultural subsidy policy.

This study aims to evaluate the perceptions of Spanish primary producers on waste management practices and different regulatory and administrative proposals. In addition, it identifies the socioeconomic and technical factors influencing these perceptions and highlights the types of agricultural residues that present the greatest management challenges for primary producers. To achieve these objectives, a survey was conducted among 396 primary producers throughout Spain. Results revealed two distinct groups of producers: younger, more educated individuals who showed higher awareness of waste management and older, less educated producers who perceived waste management as less critical. The study also analysed the magnitude of the relationships between these influencing factors and waste management perceptions. Agricultural plastics, biomass, and used oil emerged as the most problematic waste types. The findings suggest the need for a national strategy to improve agricultural waste management in Spain, including awareness campaigns, financial incentives, and stricter regulations to ensure sustainable practices.

Rice productivity needs to be increased to feed Bangladesh’s growing population. Productivity can be increased by adopting improved varieties and management practices, which require additional capital inputs. In this article, we aim to estimate the effect of formal and semiformal credit on rice productivity in Bangladesh. We surveyed 500 rice farmers to achieve these objectives. We used descriptive statistics, propensity score matching and Heckman’s endogenous treatment effect model to analyse the data. The findings indicate that literacy, television ownership and training positively influenced access to formal credit. In general, credit recipients achieved higher productivity than did non-recipients. In the situation of credit source-specific effect, we found mixed results. Given the estimated difference of 438 kg/ha to 495 kg/ha, the results indicated that formal credit recipients had significantly higher productivity than did formal credit non-recipients. In contrast, endogenous treatment effect model results suggested that both formal and semiformal sources of credit had a significant effect on rice productivity. Increased agricultural loan disbursement through formal and semiformal credit institutions is strongly advocated. Farmers’ decision-making abilities regarding the most effective source of credit can be improved through training in financial literacy. The central bank of Bangladesh, along with the credit regulatory authorities of non-governmental organisations, can implement appropriate agricultural credit programmes for farmers.

The study aims to analyse the impact of application of chemical inputs like fertilisers or crop protection products on farm crop yield productivity in Estonian and Slovenian agriculture. We combined the propensity score matching (PSM) method with an inverse probability weighted regression (IPWRA) model to derive treatment effects of the adoption of these critical inputs using Farm Accountancy Data Network data. Results exhibit consistency across estimation techniques. Estimates of both IPWRA and PSM models showed that adoption of at least one of the chemical inputs decreases volatility of crop yield output and downside risk. The results are more robust for Estonian than for Slovenian farms suggesting on possible impacts of other exogenous factors such as climate change on mitigating the crop yield downside risk.

The adverse economic and social effects of the recent increases in food prices have prompted policymakers and academics to reconsider the potential causes of such increases. This paper contributes to the existing literature by investigating the causal effects of oil prices, fertiliser prices, global economic activity, and geopolitical risk on international food price volatility between January 1993 and December 2021. The research considers the aggregate food price index and the prices of various specific foods, including cereal, vegetable oils, dairy, meat, and sugar. The Glosten, Jagannathan, and Runkle-generalised autoregressive conditional heteroskedasticity (1,1) [GJR-GARCH(1,1)] model is employed to estimate the food price volatility series, while the causality-in-quantiles test is conducted to identify the drivers of food price volatility for different volatility regimes. The analysis suggests heterogeneous results regarding the significance of causal linkages. More specifically, the aggregate food price volatility is affected by oil prices, global economic activity, and geopolitical risk under different market conditions. The causality analysis also indicates that the volatility of cereal prices is the most sensitive to the four considered variables. Likewise, geopolitical risk is the most critical factor affecting all food commodities during almost all market conditions, while oil prices and global economic activity have limited predictive power. Finally, there is strong evidence that most causal linkages are confirmed during normal market conditions. Policy recommendations are subsequently derived.

To achieve the coveted objectives of sustainable development, the Bangladesh government has devised a comprehensive strategy to promote the adoption of innovative agricultural practices capable of addressing the critical challenges at the intersection of food, energy, water, and ecosystems (FEWE). This plan prioritises the increased uptake of solar irrigation and recommended fertiliser application (SIRFA) technologies to enhance sustainable food production while effectively managing energy and water resources, and fostering ecological balance. Thus, this study analysed seven years of panel data (2015–2021) to assess the long-term impact of SIRFA technology adoption on production costs (PC) and return on investment (ROI) among Bangladeshi farmers cultivating the BRRI-dhan29 rice variety in the water-scarce, acidic soils of Dinajpur. Utilising the generalised estimating equation (GEE) with a population-averaged model, we investigated the determinants of adoption. Additionally, we applied a two-stage residual inclusion (2SRI) method alongside six linear panel-data models to analyse the impact of SIRFA adoption. Our findings revealed that adopters experienced reduced production costs and enhanced ROI through SIRFA technology adoption. These results emphasised the urgent need for region-specific policy interventions to facilitate the broader adoption of SIRFA technologies.

This study aims to examine the relationship between domestic and international prices of di-ammonium phosphate (DAP) and urea fertilisers together with exchange rates in Türkiye using the non-linear autoregressive distributed lag (NARDL) model on monthly data for the period of January 2011 to September 2022. The result of the study provides empirical evidence about the presence of asymmetries in the short and long-run among these fertilisers. The findings of the study confirm that international prices of di-ammonium phosphate and urea fertilisers have a symmetric effect in the long-run and exchange rate of the Turkish lira to US dollars has an asymmetric effect on the domestic prices of fertilisers in the short run. This is the first study in Türkiye to delineate the dynamic simultaneous interaction among these markets and its findings can be extremely useful for academicians, and policymakers to make decisions regarding the market structure of countries that do not have sufficient domestic resources for fertiliser supply and are dependent on imports.

Agricultural subsidy policy can improve the planting enthusiasm of rural households by increasing their income. It is of great significance to assess and summarise the effect of the soybean and cotton target price subsidy policy and to determine future policy direction. Using the national rural fixed-observation point socioeconomic survey data from 2009 to 2017, the study employed the difference-in-differences (DID) method to evaluate the impact of the target price policy (TPP) on rural household income in China. TPP had no significant impact on the total income of rural households. Specifically, TPP increased the farm income of rural households but simultaneously reduced the wage income and had no significant impact on the other income. Moreover, the impact of TPP on rural household income varied with the planting scale and income level; the effect of TPP was strong among the non-poor or scale operation rural households. TPP implementation affected rural household farm and wage income by affecting farmers’ allocation of working time and cost input. Therefore, implementing TPP should consider farmers’ participation in non-farm employment, further adjust the subsidy intensity and scope, and combine direct subsidies with the poverty reduction effect in poor areas. The contribution of this article is to explore the implementation effect of target price subsidy policies from the perspective of farmers’ income, to deconstruct farmers’ income, and explore the mechanism of policy action. This paper provides a theoretical basis and policy inspiration for China to improve and adjust the agricultural subsidy policy, mobilise farmers’ enthusiasm to cultivate, and ensure national food security.

This study aims to analyse the key company-level variables influencing pollutant emissions in the Spanish agri-food sector and investigate the bidirectional relationship between international trade and environmental performance. Using panel data from 2007–2020, we employ discrete choice models to test causal relationships between business variables and environmental impact. Empirical findings show a negative correlation between internationalisation and polluting emissions from agri-food companies. Additionally, other factors, such as company age and size, also influence this index. These results provide valuable insights for economic decision-makers in the agri-food market, highlighting the implications of international trade and business variables on pollution levels.

Based on panel data from 2010 to 2020 of 151 A-share listed food-related enterprises in China, this research uses a fixed-effect model to analyse the impact of digital transformation on total factor productivity (TFP) in food-related enterprises. Our findings indicated that digital transformation has a positive and significant catalytic effect on TFP improvement in food-related enterprises. The mechanism test revealed that both cost-saving and innovation capacity enhancement effects of digital transformation contributed to the promotion of TFP improvement in these enterprises. Moreover, our heterogeneity analysis suggested that digital transformation is more effective in enhancing TFP in state-owned enterprises (SOEs) in the food-related industry, indicating that SOEs play a representative role in promoting advanced productivity in agricultural development. We also found that capital-intensive and technology-intensitve food-related enterprises were experiencing productivity paradox traps. Our results confirmed that digital transformation brings catch-up effects to labor-intensive food-related enterprises and those located in major grain production regions. Overall, this research can provide valuable insights for policymakers to upgrade the digital-enabled food industry.

Corporate social responsibility (CSR) is also implemented in agriculture, where larger agricultural holdings have a higher influence. We focused on them and situated our study to a country with a large average farm acreage – the Czech Republic. The aim of the paper is to assess to what extent large agricultural holdings perceive socially responsible behaviour as being important and how it is manifested in their relationship to the stakeholders and the behaviour in economic, social and environmental areas using Carroll’s pyramid and concept of 3 ‘P’. It is also examined if the higher perception of CSR influences the assets. Firms were grouped according to the perceived CSR by a cluster analysis. The highest economic responsibility in cluster 1 corresponded to the relatively high value of the assets, but the highest was in cluster 2 and 3 with important legal and ethical responsibilities. Cluster 4 had the lowest CSR, the same as the value of the assets, but further investigation is needed. The most important stakeholders were the owners and employees, but also the range of activities was provided for the locals. CSR and the importance of the stakeholders in large Czech agricultural holdings were highly perceived, especially on an economic level and in the social area.

The Regional Comprehensive Economic Partnership (RCEP) agreement is an important free trade agreement in the Asia Pacific region. The implementation of RCEP is greatly significant for ensuring the effective supply of agricultural products to member states. On the basis of the analysis of the agricultural product trade structure among China, Australia and New Zealand since 2000, we summarise in this article the potential consequences of tariff reduction for the agricultural products among the three countries under the RCEP framework. The Global Trade Analysis Project model has been used to analyse the effects of RCEP on the macroeconomic indicators, agricultural products trade and domestic agricultural output of the three countries. The research findings indicate that agricultural product trade among the three countries has grown rapidly since 2000. The results of the Global Trade Analysis Project simulations revealed that implementing RCEP will foster macroeconomic growth in the three countries. China’s imports of beef and dairy products and wheat from Australia and New Zealand will substantially increase, and China’s domestic production of this agricultural sector will decrease. Furthermore, India’s potential participation in RCEP will further affect China’s imports and exports of grain. These findings could guide the policymakers in the three countries in designing future agricultural production and trade strategies according to the different scenarios of international trade among the three countries and considering the potential of India joining.

In 2007, the Chinese government introduced a temporary corn storage policy targeting four regions: Heilongjiang, Jilin, Liaoning and Inner Mongolia. This policy aimed at stabilising grain markets and ensured farmers' income by providing price support for corn. Its implementation significantly impacted corn prices and the regional distribution of corn cultivation, offering a valuable case for analysing the economic outcomes of China's agricultural policies. This study adopts the adaptive expectations hypothesis to explore the policy's effects, focusing on its influence on farmers' price expectations (mean) and price volatility (variance). Using a Spatial Durbin Model (SDM), we empirically investigate the policy's dynamic regional impacts on corn planting areas. The results show that the temporary corn storage policy significantly increased corn planting areas in the targeted regions, while simultaneously reducing planting areas in non-targeted regions due to negative spatial spillover effects. At the national level, the policy had no statistically significant impact on total corn planting areas, indicating that abolishing the policy alone is unlikely to rationalise or optimise the agricultural planting structure.

Indonesia is presently ranked as the first crude palm oil producer in the world. However, the palm oil industry faces significant challenges, including extensive criticism related to environmental degradation and social impacts. The circular bioeconomy concept emphasises sustainable production and consumption through the repurposing, recycling, and regeneration of resources to address these challenges. Integrating palm and cattle farming represents a promising approach to enhancing resource efficiency and sustainability in agricultural systems. This study employs a system dynamics analysis to model the circular bioeconomy in the palm oil industry, with a specific focus on addressing cattle feed shortages. The results demonstrate that utilising oil palm biomass can yield a total of 21 204.52 tonnes of feed and generate a yearly revenue of USD 317 020.14. Key findings indicate that integrating palm by-products into cattle feed not only addresses feed shortages but also reduces waste and enhances overall farm productivity. The implications of this study suggest that adopting circular bioeconomy practices in the palm oil industry can promote more resilient and sustainable agricultural practices.

Geographical indication (GI) represents the specific good quality and reputation of the regional characteristics of agricultural products, which is a positive approach for stabilising the export of agricultural products, realising high quality and high prices for agricultural products and rural revitalisation. Based on the China-EU Geographical Indications Agreement, this paper discusses the differences between China and the European Union (EU) in terms of GI protection from three aspects: the institutional framework, the operational system, and the operational status of GIs. The purpose of the study is to identify the differences between China and the EU in the protection of GIs, China's shortcomings, and gaps, and to propose policy recommendations for China to protect GI products better, exploit the economic impact of GIs and enhance the competitiveness of China's exports.

The present study, centred on customer online shopping behaviours, aims at analysing the frequency of vegetable acquisition and its main determining factors, while considering different methods of payment, i.e. cash, debit card, and bank transfer on the Romanian market. Using data obtained from a questionnaire applied nationwide, a descriptive analysis and logistic regression were performed. An immature market in terms of digitalisation, characterised by the customers’ mistrust in online bank transfers, but also in products sold online was observed. In addition, the income, education, gender, and size of the household appeared to be significant in relation to the frequency of online orders for vegetables. Moreover, our results indicated that a higher customer readiness for a high price, large quantity, and a monthly delivery subscription comes bundled with a higher frequency of acquisition in the case of bank transfers. Our findings are especially focusing on the vegetable local producers’ promotion process, with its main desideratum of properly responding through adaptation to the continuously changing customers’ requirements, particularly when special contexts like the pandemic appear. Accordingly, our paper intended to offer several concrete responses in this regard, indicating some possible paths for better managing the communication process on the vegetable market.

In China’s agricultural catastrophe insurance market, issues of non-equilibrium are prominent. To understand the causes of non-equilibrium in agricultural catastrophe insurance and to develop prevention strategies, this study employs an Evolutionary Game Model, incorporating disaster and insurance data for three types of cereal crops in Henan Province to analyse the Evolutionarily Stable Strategies in the agricultural catastrophe insurance market. The research also considers government policies and disaster reinsurance as implicit participants in the model. The findings reveal significant differences in the impact of non-equilibrium in the agricultural catastrophe insurance market and the choice of game strategies, dependent on the scale of farm operations, the type of crops cultivated, and regional variations. Significantly, decision-making evolutionary paths vary between small and medium-scale farmers, with rice growers emphasising income insurance more. In regions prone to frequent catastrophes, the insurance rates for agricultural catastrophe insurance exhibit greater flexibility. By scientifically delineating agricultural catastrophe risk zones, appropriately expanding the scale of cultivation, reducing insurance rates, and adjusting agricultural catastrophe insurance products, a balanced development in the agricultural catastrophe insurance market can be promoted.

The agricultural production in China is gradually transitioning from extensive agriculture to green agriculture. In this context, identifying the driving factors and dimensions of farmers’ green production behaviour can contribute to promoting sustainable agricultural development. Existing studies lack investigation into the identification of driving factors and dimensions of green production behaviour among farmers of different scales. This study examined 1 142 farm households from five major grain-producing provinces in the North China Plain in 2019. We employed probit-ISM (interpretive structural modelling) models to analyse the driving factors of green production behaviour among farmers of different scales and identify dimensional differences. The study concluded the following: i) Personal characteristics, household characteristics, operational characteristics, social network characteristics, organisational characteristics, and cognitive characteristics were factors driving green production behaviour among small-scale farmers. However, social network characteristics and organisational characteristics had insignificant effects on green production behaviour among large-scale farmers. ii) Personal characteristics, number of agricultural workers, scale of operation, degree of land fragmentation, and whether relatives and friends are civil servants were the deep-rooted factors driving farmers’ green production behaviour. Part-time farming status, proportion of grain income, types of agricultural machinery, relationship with local farm machinery operators, and organisational characteristics were middle indirect factors. Cognitive characteristics represented the direct surface factors. This study can provide crucial information for government departments, which formulate differentiated policies to promote green production behaviour among farmers of different scales.

Livestock manure serves as a vital source of organic fertiliser, with efficient utilisation being crucial for sustainable agricultural development. However, with the development of specialised high-input agriculture, livestock manure recycling (LMR) is currently inefficient and leading to the imbalance between surplus manure and croplands. This study theoretically and empirically investigates whether LMR among acquaintance networks influence the crop–livestock integration (CLI) production. Based on survey data of swine farmers in rural China, the estimates indicate that LMR among acquaintance networks enhances the degree of CLI but may result in over-application of manure. Conversely, LMR with outside villagers or organisations is more likely to reduce the degree of CLI, possibly leading to under-application of manure. The motivation behind farmers' LMR plays a crucial role. Furthermore, the study indicates that formal institution can break the constraints of acquaintance networks on LMR and restructure the crop-livestock relationship beyond the household level. Our findings emphasise that LMR within rural China's acquaintance networks are in a transition phase, exhibiting both relational and market orientation characteristics. It is currently essential to maintain the balance between crop and livestock production, advance the development of LMR social services when designing LMR policies, and to leverage the complementary roles of informal and formal institutions.

The consumption of local wine at tourist destinations plays a fundamental role in creating authentic experiences. However, there is very little research that has looked in depth into the factors that influence tourists' consumption of this product, especially in relation to epistemic benefits and responsible tourist behaviour. This study proposes a theoretical model based on the Theory of Planned Behaviour (TPB). We conducted a survey involving 619 travellers who regularly consume wine when visiting Tenerife (Canary Islands, Spain). The results show that epistemic benefit and responsible tourist behaviour have a positive relationship with attitudes toward local wine consumption, subjective norms, and perceived behavioural control. Furthermore, the relationships proposed by the TPB are confirmed, except for the relationship between subjective norms and behavioural intention. These findings provide new knowledge on local wine consumption by tourists which will help to develop strategies to encourage its consumption in tourist destinations.

This study assesses 24 European Union countries in terms of food security in 2021. In this paper, we develop a composite food security index considering various weights of indicators. The data were obtained from the FAOSTAT and Eurostat databases. The weights of 10 input indicators were estimated using a principal component analysis-based factor analysis model. The results showed that the harmonised index of consumer prices – food had the greatest impact on the food security index, while the impact of median equivalised net income and moderate or severe food insecurity had the lowest impact. Ireland achieved the highest ranking according to the Food Security Index. Bulgaria experienced the most unfavourable situation among EU countries. Slovakia ranked 22^nd out of 24 countries due to its lowest protein supply, including animal-derived proteins. As part of the analysis, our research compared the food security index with the official Global Food Security Index. The Spearman’s rank correlation coefficient of 0.84 indicated a robust correlation between the two indexes. Consequently, this newly developed Food Security Index is appropriate for assessing the food security status of European Union countries. Furthermore, it broadens the assessment of food security by including countries that are not in the commonly used Global Food Security Index (GFSI).

This paper investigates the effect of pre-COVID credit constraints and the moderating role of government support on agribusiness resilience following the outbreak of COVID-19. Using a dataset covering 42 countries, we provide empirical evidence on how firm characteristics and credit constraints affect agribusinesses’ likelihood of survival and performance during the pandemic. On the enterprise level, size, foreign ownership and gender of the manager are found to display a statistically significant relationship with closure and sales performance. The findings reveal that pre-existing credit constraints tended to magnify the negative impacts of the pandemic. Specifically, agribusinesses with better access to finance were less likely to experience a decline in sales and exit from the market and, hence, were in a better position to withstand pandemic-induced shock. The results further highlighted the positive role of government support on agribusiness resilience, whereas obtaining government aid was found to have no significant effect on moderating the link between financial conditions and resilience. Finally, the results showed that financially constrained agribusinesses are more likely to suffer from liquidity/cash flow problems and experience overdue financial obligations during the pandemic. In coping with their liquidity shortfalls, these agribusinesses were less likely to access formal credit and more likely to delay payments to suppliers/workers.

Adopting low-carbon agricultural technologies (LCATs) is fundamental to reducing carbon emissions in agriculture. Our study explores the factors influencing the adoption of LCATs and the roles of production outsourcing and specialised farming within the framework of off-farm employment. In this regard, survey data were collected from 1 040 farmers in the Yellow River region of China in 2020 to examine the effect of production outsourcing on the farmers’ adoption of LCATs. Potential mechanisms associated with specialised farming and off-farm employment are considered to comprehend this relationship. We also investigate the heterogeneous effects of production outsourcing on adopting LCATs, taking different education levels and arable land areas into account. The results show a positive association between production outsourcing and farmers’ LCATs adoption behaviour, even after considering self-selection bias. Specifically, outsourcing production can significantly increase the likelihood of farmers adopting low-carbon tillage, low-carbon irrigation, and low-carbon fertilisation technologies by 7.2%, 8.1%, and 7.3%, respectively. This effect is more pronounced among farmers with higher levels of education and smaller areas of arable land. Furthermore, production outsourcing increases the LCATs adoption by promoting specialised farming. The findings suggest that outsourcing is vital to alleviating the lack of LCATs adoption resulting from off-farm employment.

The aim of this paper is to investigate whether the more pro-environmental attitudes of farmers influence the technical efficiency of agricultural sectors in EU regions (NUTS-2). To answer this, I employed data envelopment analysis (DEA) for efficiency analysis combined with the double bootstrapped truncated regression to investigate the relationship between environmental attitudes and technical efficiency. I found that this relationship is positive, i.e. pro-environmental attitudes were related to greater efficiency. An increase in the environmental attitude variable by one standard deviation led to an improvement in efficiency of 2.8–6 p.p. The higher share of farmers with formal training also proved to be a positive and significant determinant of efficiency. The share of arable land on which conventional tillage was used, and soil erosion proved to be significant but negative determinants of efficiency. Policymakers should present to farmers the environmental benefits of agricultural policy but should also highlight that greater environmental awareness translates into a more efficient operation.

This paper analyses the market entry strategy of the Spanish wineries and their destination markets. For this purpose, channel adjustment was analysed. The novel aspect of this research is the use of exports on a winery level, basing the explanation of their export performance on a combination of internal decisions of the companies, and characteristics of the wine destination markets, in accordance with the purchasing patterns of their consumers. The results revealed the importance of strategic adjustment between winery and market destination, even though the importance of adjustment depends on the level of exports. Thus, channel adjustment is important for the probability of export and export intensity.

Fujian Province, China was chosen as the study area for estimating the marginal agricultural abatement costs within the province based on data for 2010–2020. The study employed these estimations as a pivotal factor affecting the efficiency of carbon emissions reduction, constructed an index model to gauge the potential of agricultural carbon emissions reduction, and delved into the urban agricultural carbon emissions reduction potential from the perspectives of economic development rights (equity) and carbon emissions reduction difficulty (efficiency). Our findings indicated a marked regional disparity in the marginal abatement costs of agriculture across Fujian Province, with the highest recorded at EUR 1.3771 × 108 per 104 tonnes and the lowest at EUR 0.6526 × 108 per 104 tonnes, albeit demonstrating general upward inter-annual trends. Furthermore, the assessment of agricultural carbon emissions reduction potential, grounded in the principles of equity and efficiency, revealed four distinct developmental tiers. Resource allocation pathways for carbon emissions reduction were subsequently delineated, informed by the stratification of high- and low-carbon emissions reduction potential indices alongside typological characteristics. The outcomes of this study offer strategic guidance to the government of Fujian Province in crafting suitable carbon emissions reduction strategies and in devising targeted action plans aimed at achieving the twin goals of 'carbon peaking' and 'carbon neutrality'.