Injuries and deaths due to tree failure in The Netherlands: analysis of observational data from 1998-2021.

Urban and roadside trees contribute to health and resilience. However, when trees or branches fall, it can cause injuries or deaths. This study examined trends and variations of injuries and deaths due to tree failure in The Netherlands from 1998 to 2021, considering urban-rural location, sex, age and traffic mode. This study is the first to describe long-term trends in injuries and deaths due to tree failure from 1998-2021. The standardised rate of injuries per 1,000,000 population increased from 0.14 (SE 0.10) in 1998 to 0.91 (SE 0.21) in 2021, with an annual percentage increase of 5.3% (p = 0.002). The data shows a strong increase for rural areas, contrary to urban ones. The annual percentage increase in rural areas was 13.2% (p < 0.001) while injuries in urban areas increased with 3.0% (p = 0.026), which revealed large urban-rural disparities. A trend was absent in the frequency of deaths. More attention needs to be given to investigating causes, drivers and stressors associated with tree failure-related injuries. In particular, efforts should be made to reduce the prevalence in rural areas. The increase in injuries over time makes it necessary to create awareness and share knowledge among residents and local governments about tree failure risks.

The role of access to finance from different finance providers in production risks of horticulture in Indonesia.

This paper aims to investigate the association between perceived production risk of horticultural farms and access to finance from different finance providers. The collection of data was conducted among 434 farmers in Indonesia particularly farmers produced mango, mangosteen, chili and red onion. Production risk was measured by the coefficient of variation, skewness, kurtosis and the 25th percentile. Depending on the risk measure, a lower production risk was found for commercial credit from banks and flexible payments of inputs to kiosks. Conversely, we did not find any lower production risk associated with finance provided by farmers' associations and other sources such as family and friends. Results of this study are useful for policy makers, finance providers and supply chain actors in agriculture. For policy makers, the results of this study can help in designing policy to enhance farmers' access to finance, whereas finance providers and supply chain actors, such as traders, obtain insight into whether their financial provisions effectively reduce production risk.

Understanding tree failure-A systematic review and meta-analysis.

Recent research has indicated an increase in the likelihood and impact of tree failure. The potential for trees to fail relates to various biomechanical and physical factors. Strikingly, there seems to be an absence of tree risk assessment methods supported by observations, despite an increasing availability of variables and parameters measured by scientists, arborists and practitioners. Current urban tree risk assessments vary due to differences in experience, training, and personal opinions of assessors. This stresses the need for a more objective method to assess the hazardousness of urban trees. The aim of this study is to provide an overview of factors that influence tree failure including stem failure, root failure and branch failure. A systematic literature review according to the PRISMA guidelines has been performed in databases, supported by backward referencing: 161 articles were reviewed revealing 142 different factors which influenced tree failure. A meta-analysis of effect sizes and p-values was executed on those factors which were associated directly with any type of tree failure. Bayes Factor was calculated to assess the likelihood that the selected factors appear in case of tree failure. Publication bias was analysed visually by funnel plots and results by regression tests. The results provide evidence that the factors Height and Stem weight positively relate to stem failure, followed by Age, DBH, DBH squared times H, and Cubed DBH (DBH3) and Tree weight. Stem weight and Tree weight were found to relate positively to root failure. For branch failure no relating factors were found. We recommend that arborists collect further data on these factors. From this review it can further be concluded that there is no commonly shared understanding, model or function available that considers all factors which can explain the different types of tree failure. This complicates risk estimations that include the failure potential of urban trees.

The impact of the fipronil crisis on the financial performance of Dutch laying hen farms.

BACKGROUND: Illegal use of fipronil as an insecticide in 2017 has caused substantial damage to Dutch laying hen farms. We assessed how the fipronil crisis has affected the financial performance of affected farms as well as unaffected farms. While affected farms faced culling their flocks and lost revenue, unaffected farms benefitted from temporary high egg prices. METHODS: A three-step normative modelling approach is taken using financial statements and a partial budget. The estimations are for a 50,000 laying hen farm facing the fipronil crisis for 5 months. First, a baseline is created by generating an income statement of this laying hen farm representing a 'normal year'. Second, incremental costs and revenue as a result of the fipronil crisis are estimated. Third, the baseline income statement is updated with the outcomes of the partial budget. This results in two additional income statements that report the net operating result of this farm being unaffected and affected by the fipronil crisis. RESULTS: While in a normal year this average-sized farm has a net operating result of around 18,000 euros, profitability was estimated to be - 369,000 euros and + 169,000 euros for the affected and unaffected farm due to the crisis respectively. For affected farms, impacts were especially high as there was no government compensation or insurance. CONCLUSIONS: As Dutch farms typically operate as independent family farms, there was also no compensation from other chain actors. The affected farms therefore likely have faced financial distress and have had to increase debt or use their financial reserves for household consumption and restarting the business. Outcomes contribute to discussions around liability claims and cost-benefit assessments of measures to improve the chain food safety and rapid alert systems.

Access to finance from different finance provider types: Farmer knowledge of the requirements.

Analysing farmer knowledge of the requirements of finance providers can provide valuable insights to policy makers about ways to improve farmers' access to finance. This study compares farmer knowledge of the requirements to obtain finance with the actual requirements set by different finance provider types, and investigates the relation between demographic and socioeconomic factors and farmer knowledge of finance requirements. We use a structured questionnaire to collect data from a sample of finance providers and farmers in Java Island, Indonesia. We find that the most important requirements to acquire finance vary among different finance provider types. We also find that farmers generally have little knowledge of the requirements, which are important to each type of finance provider. Awareness campaigns are needed to increase farmer knowledge of the diversity of requirements among the finance provider types.

Beyond upgrading typologies - In search of a better deal for honey value chains in Brazil.

Selection of value chain strategies by development practitioners and value chain participants themselves has been restricted to preset types of upgrading. This paper argues for an extension of the range of strategy solutions to value chains. An empirical application identifies successful strategies for honey value chains in Brazil for 2015-2020. Strategy and performance indicators were selected using the value chain Structure-Conduct-Performance (SCP) framework. Experts' opinion was elicited in a Delphi for business scenarios, and adaptive conjoint analysis was used to identify strategies for increasing production growth and local value-added. This study identifies important strategies beyond upgrading typologies, and finds that important strategies differ by performance goal and scenario. The value chain SCP allows searching for promising strategies towards performance-the "better deal"-in an integrated way.

Factors influencing adoption of manure separation technology in The Netherlands.

Manure separation technologies are essential for sustainable livestock operations in areas with high livestock density as these technologies result in better utilization of manure and reduced environmental impact. Technologies for manure separation have been well researched and are ready for use. Their use, however, has been limited to the Netherlands. This paper investigates the role of farm and farmer characteristics and farmers' attitudes toward technology-specific attributes in influencing the likelihood of the adoption of mechanical manure separation technology. The analysis used survey data collected from 111 Dutch dairy farmers in 2009. The results showed that the age and education level of the farmer and farm size are important variables explaining the likelihood of adoption. In addition to farm and farmer characteristics, farmers' attitudes toward the different attributes of manure separation technology significantly affect the likelihood of adoption. The study generates useful information for policy makers, technology developers and distributors in identifying the factors that impact decision-making behaviors of farmers.