Sustainable Intensification (SI) of agriculture has recently received widespread political attention, in both the UK and internationally. The concept recognises the need to simultaneously raise yields, increase input use efficiency and reduce the negative environmental impacts of farming systems to secure future food production and to sustainably use the limited resources for agriculture. The objective of this paper is to outline a policy-making tool to assess SI at a farm level. Based on the method introduced by Kuosmanen and Kortelainen (2005), we use an adapted Data Envelopment Analysis (DEA) to consider the substitution possibilities between economic value and environmental pressures generated by farming systems in an aggregated index of Eco-Efficiency. Farm level data, specifically General Cropping Farms (GCFs) from the East Anglian River Basin Catchment (EARBC), UK were used as the basis for this analysis. The assignment of weights to environmental pressures through linear programming techniques, when optimising the relative Eco-Efficiency score, allows the identification of appropriate production technologies and practices (integrating pest management, conservation farming, precision agriculture, etc.) for each farm and therefore indicates specific improvements that can be undertaken towards SI. Results are used to suggest strategies for the integration of farming practices and environmental policies in the framework of SI of agriculture. Paths for improving the index of Eco-Efficiency and therefore reducing environmental pressures are also outlined.

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The idea of Sustainable Intensification comes as a response to the challenge of avoiding resources such as land, water and energy being overexploited while increasing food production for an increasing demand from a growing global population. Sustainable Intensification means that farmers need to simultaneously increase yields and sustainably use limited natural resources, such as water. Within the agricultural sector water has a number of uses including irrigation, spraying, drinking for livestock and washing (vegetables, livestock buildings). In order to achieve Sustainable Intensification measures are needed that enable policy makers and managers to inform them about the relative performance of farms as well as of possible ways to improve such performance. We provide a benchmarking tool to assess water use (relative) efficiency at a farm level, suggest pathways to improve farm level productivity by identifying best practices for reducing excessive use of water for irrigation. Data Envelopment Analysis techniques including analysis of returns to scale were used to evaluate any excess in agricultural water use of 66 Horticulture Farms based on different River Basin Catchments across England. We found that farms in the sample can reduce on average water requirements by 35% to achieve the same output (Gross Margin) when compared to their peers on the frontier. In addition, 47% of the farms operate under increasing returns to scale, indicating that farms will need to develop economies of scale to achieve input cost savings. Regarding the adoption of specific water use efficiency management practices, we found that the use of a decision support tool, recycling water and the installation of trickle/drip/spray lines irrigation system has a positive impact on water use efficiency at a farm level whereas the use of other irrigation systems such as the overhead irrigation system was found to have a negative effect on water use efficiency.

Purpose Rural farmers’ access to farm credit in Nigeria has been very low, which affects farm performance, and credit providers have blamed for the problem in the sector. While this general perception persists the fact may be the case of credit demand, rather than just the risk-averse attitudes of credit providers. The purpose of this paper is to investigate significant factors influencing farmers’ credit demand to ensure efficient credit provision. Design/methodology/approach The research adopted mixed methods for an in-depth investigation into the problem. There were 216 research participants split into equal halves of men and women from six local government areas of Nasarawa State. Data collection methods employed structured interviews, focus group discussions, close/open-ended and key informant interviews. Analytical tools involved descriptive statistics, the logit and multinomial logit models to determine participants’ socio-economic characteristics, sources of credit, access, factors influencing credit demand generally and from the various sources of credit identified. Findings Findings reveal only 47.6 per cent of the participants accessed credit, with fewer women accessing than men. The most accessed forms of credit are from the semi-formal sources, with more men accessing from formal sources and more women from non-formal sources. Factors having significant influence on credit demand generally are education, group membership and household size. And from formal, semi-formal and non-formal credit sources are education, information on sources of credit, deposits, household size and marital status; education, deposits, group membership, household size, flock size; and education, group membership, and gender from the non-formal credit providers, respectively. Research limitations/implications Due to time constraint, this study data were collected concurrently with both quantitative and qualitative methods and did not allow for the interrogation of findings from one method with the other. In addition, the research categorised the agency of women based on marital status only as single or married and did not interrogate the agency of women further, this may be a limitation as some of the female participants are from polygamous homes. Originality/value Unlike the current concentration of Nigerian research of this kind with quantitative methods alone, this research contributes particularly to Nigerian research output and experience by triangulating both quantitative and qualitative methods to explore farmers sources of credit, access and factors determining access to credit in the study area.

Purpose The purpose of this paper is to provide empirical evidence on the relationship between capital structure and technical efficiency (TE) for Italian cereal farms during the 2008–2014 period. Emphasis is given in the understanding of the relationship between the level of financial leverage for cereal farms and their production performance. Design/methodology/approach The methods employed in this research article are based on non-parametric techniques in order to derive TE estimates for a sample of Italian cereal farms based on available Farm Accountancy Data Network data to explore in depth the relationship amongst the financial exposure of the sector and the capacity to utilise an efficient and effective production technology. Furthermore, subsidies are considered in the model as a non-discretionary variable and therefore, as an input that farmers cannot directly influence within the production function. Hence, the non-discretionary Data Envelopment Analysis model is a more appropriate framework since it is not penalising farms at a lower level of Pillar I payments when benchmarked with farms that receive a higher level of payments. Findings The results show that significant improvements could be achieved for most of the farms in the sample by improving production and management practices. Furthermore, results provide an empirical support of the adjustment theory by showing a negative impact of debt to asset ratio to TE. Originality/value This research article provides a first insight on the evolution of the Italian cereal farms debt-TE relationship in periods where high price instability has been observed.