Assessing long-term effects of CAP investment support on indicators of farm performance

In this study of Swedish farms from 2007 to 2016, we estimate the effects of investment support from the Common Agricultural Policy on indicators of farm performance, focusing on long-term effects. To isolate the impact and alleviate problems of selection bias, we employ a counterfactual empirical design using Coarsened Exact Matching and dynamic panel fixed-effects estimations. The average treatment effect on the treated estimates show a positive and significant long-term improvement of farm performance with regard to productivity and turnover. However, the results indicate significant time lags between investments and accumulated observable effects, as we find most short-term effects of the subsidy to be insignificant

Tidiga membranförändringar i hingstsperma som används för artificiell insemination

The Annexin-V/propidium iodide (AV/PI) assay detects early membrane changes in spermatozoa and viability using flow cytometry. It is an objective method that evaluates a much larger number of single spermatozoa compared with the usual estimation of motility, the most commonly used method for routine sperm evaluation. In the present study four ejaculates from four stallions were used in a split-sample design to investigate whether and how the number of intact spermatozoa is affected over time and after incubation at different temperatures, either those recorded during shipment of stallion semen for AI (9 or 5°C) or room temperature (20°C). The Annexin-V results did not reflect the motility results that were monitored in parallel. While motility decreased over time, the number of spermatozoa with intact membranes (viable) remained unchanged for at least 21 hours following a short period of initial instability. Sperm motility was better and the percentages of viable spermatozoa were higher in the samples stored at 20° C samples than in the 5°C or 9°C samples. Significant differences between stallions and between ejaculates from the same stallion were also detected. One stallion had very low fertility results but did not differ from the others in terms of either viable or motile spermatozoa. In conclusion, the use of Annexin-V-PI assay combined with flow cytometry is a suitable method, albeit not for routine use, for assessment of early membrane changes in stallion spermatozoa. The method will however not identify all subfertile stallions or predict fertility, but it might, after further studies, be of use as an alternative assay for identifying subfertile stallions

Continuum – Rethinking BAT emissions of the pulp and paper industry in the European Union

This report is the Finnish contribution to the second exchange of information defined in the Council Directive 96/61/EC and to the preparation of the second Reference Document of the European Commission on Best Available Techniques in the Pulp and Paper Industry (BREF). The report is the work of Pöyry Forest Industry Consulting Oy on behalf of the Finnish Forest Industries Federation and Finnish Environment Institute. In this report, a series of suggestions for improvements to the BREF are given. The suggestions are shored up with reasoning and examples behind them. Among key messages in this document we find: - Uphold and emphasise the key principles of the BAT BREF, and increase the readability of the BREF. - The need for ensuring smooth running and minimising accidental releases should be emphasised in the BREF. One way to ensure smoother running is to use simpler processes. - Cross-media effects should be further emphasised in the BREF. Lack of cross-media information and integrated views in decision making can result in wrong measures taken. -  The chapters dealing with new techniques could be improved by reshaping them into a readable, clear and concise analysis of the current technology trends and selected techniques, not forgetting key principles of the BREF. -  Based on information on both Finnish and international mills, it seems that not all the BAT ranges are on same level of stringency. In addition, BAT techniques do not necessarily go hand in hand with BAT emissions levels. It is recommended that this report is read together with the first pulp and paper BREF

The role of collaboration and external knowledge for innovation in small food firms

In this study, we use unique purpose-built survey data to show that small food firms are more innovative when externally engaged. To capture this, we apply a broad classification of innovative activities, including new products, processes, markets, organization, and distribution channels, and examine them against types of external interactions. The analysis, an ordered logit estimation, controls for heterogeneity across firms as well as geographic conditions. The results demonstrate a positive relationship between external interaction and firm innovation, though there are differences across types of external engagement and innovation activities. Product innovation benefits from knowledge from extra-regional firms, while several of the other forms of innovation show a positive relationship with support from regional and municipality boards. Additionally, firm collaboration regarding transports and sales enhances most types of innovation, but there are few relationships of benefit with research-intensive organizations. We conclude that, to be effective, innovation strategies of both the firms themselves and policymakers need to consider local context, access to intra- and extra-regional knowledge sources, and what types of innovation activities the firms are engaged in

Moving beyond traditional measures – lessons from evaluating collaborative initiatives at Lund University

Over the last decade, universities and other institutions of higher education (HEIs) worldwide have witnessed an evolution to their role relative to society – with increasing attention to external engagement and expectations on societal impact. This has fostered an upswing in activity as research and innovation funding bodies and universities alike explore new approaches to working with external engagement, and led to questions regarding how to evaluate the societal impact of these efforts. Although there are examples of national frameworks to evaluate research impact, the large majority of countries and HEIs around theworld are still experimenting with approaches to evidence and assess their pathway to societal impact. This paper aims to contribute to evolving practice in this field by presenting lessons from the evaluation of a new strategic instrument (thematic collaboration initiatives) at Lund University (LU), Sweden.The evaluation of the strategic instrument “thematic collaboration initiatives” encompassed both initiative/operational and LU leadership/strategic levels. The approach to the evaluation combined traditional measures and processes, together with new indicators and evaluation approaches. The evaluation hasresulted in a better understanding of the range of activities and outputs that one can expect from such collaborative initiatives – informing the selection of measures to include in evaluation efforts. The evaluation also provided new insights on how universities can work with and use evaluation to guide thefurther development of the university’s approach to fostering external engagement. Participatory processes and facilitated reflection were very beneficial to draw out multiple perspectives and possible implicationsfor future development of the instrument

Farm performance and input self-sufficiency increases with functional crop diversity on Swedish farms

Diversified crop production is a key agroecological practice that enhances ecosystem functions and reduces reliance on costly external inputs, such as for plant protection and nutrition but might also increase labour costs and lower crop yields. We investigate if functional diversification, i.e., cultivation of crop species with contrasting ecological functions, is associated with a higher growth in farm economic performance and input selfsufficiency. This is compared with increased related crop diversity i.e., the cultivation of genetically closely related crop species. We apply the system GMM dynamic panel data estimator to 35,195 medium and large Swedish farms (2001-2018), combining information on crop grown on each field and year with farm financial and individual characteristics. We find growth in farm economic performance and input self-sufficiency to respond positively to functional crop diversification and negatively to related crop diversification. The results highlight that a decomposed assessment of crop diversification provides an enhanced understanding of the buildup of resource-use efficiencies and production- and market risk reductions on Swedish farms

Long-term trends in functional crop diversity across Swedish farms

The diversity of cultivated crops is relevant on various spatial scales, from the field and farm to the landscape. We apply a decomposition of the Shannon diversity index that allows the differentiation of functional diversity of production. The decomposition separates diversity of functional crop groups from related diversity, which shows the species diversity within the crop groups. Using population-based field and farm-level data from Sweden 2001–2018, we are able to study the development of overall (Shannon), functional and related crop diversity among a total of 83770 farms. Crop diversity indices are calculated by farm and year based on the Swedish Land Parcel Identification system (LPIS). We find that functional crop diversity has declined among Swedish farms over the period. Related crop diversity has declined but regained in recent years. Accounting for farm size and pedoclimatic conditions, organic farms have a higher functional diversity, and the uptake of organic practices leads to an increase in functional crop diversity over the period

The role of tissue microstructure and water exchange in biophysical modelling of diffusion in white matter.

Biophysical models that describe the outcome of white matter diffusion MRI experiments have various degrees of complexity. While the simplest models assume equal-sized and parallel axons, more elaborate ones may include distributions of axon diameters and axonal orientation dispersions. These microstructural features can be inferred from diffusion-weighted signal attenuation curves by solving an inverse problem, validated in several Monte Carlo simulation studies. Model development has been paralleled by microscopy studies of the microstructure of excised and fixed nerves, confirming that axon diameter estimates from diffusion measurements agree with those from microscopy. However, results obtained in vivo are less conclusive. For example, the amount of slowly diffusing water is lower than expected, and the diffusion-encoded signal is apparently insensitive to diffusion time variations, contrary to what may be expected. Recent understandings of the resolution limit in diffusion MRI, the rate of water exchange, and the presence of microscopic axonal undulation and axonal orientation dispersions may, however, explain such apparent contradictions. Knowledge of the effects of biophysical mechanisms on water diffusion in tissue can be used to predict the outcome of diffusion tensor imaging (DTI) and of diffusion kurtosis imaging (DKI) studies. Alterations of DTI or DKI parameters found in studies of pathologies such as ischemic stroke can thus be compared with those predicted by modelling. Observations in agreement with the predictions strengthen the credibility of biophysical models; those in disagreement could provide clues of how to improve them. DKI is particularly suited for this purpose; it is performed using higher b-values than DTI, and thus carries more information about the tissue microstructure. The purpose of this review is to provide an update on the current understanding of how various properties of the tissue microstructure and the rate of water exchange between microenvironments are reflected in diffusion MRI measurements. We focus on the use of biophysical models for extracting tissue-specific parameters from data obtained with single PGSE sequences on clinical MRI scanners, but results obtained with animal MRI scanners are also considered. While modelling of white matter is the central theme, experiments on model systems that highlight important aspects of the biophysical models are also reviewed