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The Common Agricultural Policy reform 2013–2020 has conditioned 30 per cent of the direct payments to greening requirements. Our study investigates whether one of these requirements, the ecological focus area (EFA) obligation, has led to environmental improvements while preserving farms’ economic sustainability. We apply a regression discontinuity design approach on a sample of Italian arable crop farms. Our results suggest that the EFA requirement has no significant effects on farms’ application of fertilisers, pesticide expenditure, crop diversification or economic performance. However, farmers reacted to the EFA requirement by changing their crop mix, mostly by increasing their share of leguminous crops.

The trend in crop yields and yield variability affects food security and impact agricultural and food policies. Recent studies in this area have either focused only on one country or performed global analysis on a handful of crops. We provide the first worldwide analysis of trend and variability for 8088 country-crop yield series taken from the FAO database, employing a robust estimator to cope with the adverse statistical effects of outliers. More than half of the series display a slowdown in yield growth due to a closing of the gap between realised and attainable yields as well as to agricultural policies promoting more sustainable agricultural practices. Around one fourth of the series show also an increase in yield variability as a consequence of climate change and changes in farm management practices. Yield variability is highest in Eastern Europe, Central Asia and Middle East and North Africa, where food security may be threatened.

Undeveloped land adjacent to urban areas has a strong potential to generate high amenity values to urban dwellers via the adoption of environment-friendly agricultural practices. Yet, there is a lack of specific policy measures tailored to unlock such potential and a scant knowledge of the preferences of the main beneficiaries. Analysis of data from a Choice Experiment in the municipality of Milan based on current policy deliverables shows that a large share of the urban population is willing to pay for specific ecological benefits linked to agricultural practices. Organic farming and land strips sown with wildflowers are the two practices whose ecological benefits are found most desirable. Willingness to pay for a policy intervention is shown to significantly correlate with income class, with low income recipients being more interested in organic farming while those with middle or high income deriving higher benefits from planting fast-growing trees.

In urban contexts land-use planning can play a central role to promote adaptation and mitigation strategies to climate change. Limiting soil consumption, improving urban greening and restoring abandoned areas are three of the most important strategies towards a sustainable land use. . The extent to which these three actions can be effectively implemented depends on the specific biophysical and cultural characteristics of the local context as well as on the preferences of residents . We conducted a Choice Experiment (CE) on a sample of 500 people living in four municipalities of the lake Garda western coastal strip, in Italy, to assess the willingness to pay (WTP) towards these three planning strategies based on alternative land-use . The proposed land use strategies are presented as a feasible way to improve the mitigation and adaptation capacity of the local context. Our results suggest that the local community perceives the growth rate of sealed areas as the most pressing issue, and people are in favour of measures aimed at containing the phenomenon. Efforts in this direction are needed and should inform the current policy debate on local land-use planning.

This study belongs to the barely explored research strand of “Econometric Mathematical Programming” and presents a simultaneous estimation of the cost function and of the farmers’ risk attitude parameter in a programming model setup. Resource and policy constraints of the model are allowed to be not binding. We use crop shares as decision variables to avoid scale bias and we consider price and crop yield variances separately. The model is formulated as a bi‐level programming model and the empirical application concerns three unbalanced panels of specialized arable farms observed for at least three consecutive years in Northern Italy, in the Cologne‐Aachen area in Germany and in the Grandes‐Cultures area in France over the time period 1995–2007. We achieve a quite satisfactory fit in the estimation exercise and find own and cross price elasticities from sensitivity experiments in reasonable ranges. We also propose a novel approach to derive confidence intervals around parameter estimates for Econometric Mathematical Programming.

In the European Union (EU) periurban agriculture is under the same agri-environmental policy regime designed for general agriculture. We argue that the specific needs of periurban agriculture may justify ad hoc agri-environmental policy measures. We present results from a Choice Experiment (CE) performed on a sample of 600 people living in the municipality of Milan, which was designed to assess the willingness to pay (WTP) for ecological benefits generated by four agri-environmental practices implementable in the periurban area and already included in the Rural Development Programmes of the Lombardy region. Results suggest that a large population share is willing to pay to support an increase in the use of the agricultural practices studied with an average WTP ranging between 5.6 to 16.3 euro/person/year, according to the type of practice. These results are in contrast with their current low level of adoption. The sub-optimal uptake rate is likely due to an insufficient per hectare compensating payment, which is too low to cover the income foregone consequent to the adoption of sustainable agriculture measures in this area. The mismatch between the low uptake rate and the high social benefits generated by the four agri-environmental agricultural practices sheds light on the need to design agri-environmental policy programmes specifically targeted to periurban areas, where the costs of compliance with AEMs are high and the social benefits of their adoption are large.

In this study we develop a new methodological proposal to incorporate risk into a farm-level positive mathematical programming (PMP) model. We estimate simultaneously the farm nonlinear cost function and a farmer-specific coefficient of absolute risk aversion as well as the resource shadow prices. The model is applied to a sample of representative arable crop farms from the Emilia-Romagna region in Italy. The estimation results confirm the calibration ability of the model and reveal the values of the individual risk aversion coefficients. We use the model to simulate different scenarios of crop price volatility, in order to explore the potential risk management role of an agri-environmental scheme.

We present a dual cost function estimation for total farm cost in a programming model setup, with individual crop shares and expected yields as arguments, estimated simultaneously with risk behaviour. Using large unbalanced samples of specialized arable farms from Northern Italy, the French Grandes Culture Region and Cologne-Aachen in Germany that are observed for at least three consecutive years over the time period 1995-2008, we find a quite satisfactory fit for crop shares and total costs. We implement two model variants where zero crop observations are considered only in the second variant. Our results indicate that the specialized arable crop farmers in the samples use crop shares only to a limited degree as an instrument of risk management. We find moderate technical progress and large efficiency differences between farms.

The agri-environmental schemes (AESs) of the European Union employ the highest share of the public budget allocated to rural development programs. Our study applies a difference-indifferences propensity score matching estimator to perform a comparative analysis of the effects of these schemes on farmers’ performance across five E.U. member states. The effects of the AESs adoption largely depend on the share of the agri-environmental payment on farm revenue. If this share is larger than 5%, participation in AESs is effective in promoting greener farming practices in all countries but Spain, where a negative effect on farm income is also shown.

This research aims at analysing the economic effects of the European Union's Nitrates Directive implementation on some representative dairy farms in Italy, using a mathematical programming model. The representative farms considered are located in Emilia-Romagna and Lombardia, which are potentially most affected by the Directive given their high livestock density. The study simulates two different farm reponse scenarios to the Directive. Simulation results show the importance of the creation and use of a manure market to dispose nitrogen from livestock surpluses in order to reduce the negative effects of the Directive on farm income. The herd reduction option is unfavourable, as it causes much larger income drop, which, for some farms, reaches one third of their income.

At the outset of his writing career, Joseph Conrad envisioned a horizon of expectations for his works and in so doing sought ways to reach out to the British public by combining literary ambitions and the adoption of the popular narrative forms available in the literary market. In this fundamentally dialogic attempt, the present essay argues, he found models and inspiration in the corpus of writing created by the supreme late-Victorian manipulator and creator of sub-genres: Robert Louis Stevenson, his ‘secret sharer.’ The essay then foregrounds Stevenson within the late-Victorian canon and demonstrates his proximity to Conrad both historically and in terms of his aspirations for his fiction. In questioning the validity of the modernist canon, finally, it argues that both authors cross artificially imposed literary boundaries.