The presentation of soil erosion on agricultural land, both to the expert and the public, frequently takes the form of pictures and descriptions of extreme events. These attention-grabbing images are case studies of worst-case scenarios and serve an important purpose of warning what may happen under certain circumstances; they also have a potential to mislead. On the other hand, long-term studies of erosion are able to present extreme events in a more acceptable scientific context. Monitoring studies emphasise the importance of frequent, low-magnitude runoff events and their ability to transport nutrients and pesticides to freshwater systems. Thus, the need for a balanced presentation of erosion which places extreme events in a broad context in space and time. Communicating with practitioners such as farmers requires the use of non-conventional channels rather than the reliance on academic journals.
Existing literature has explored how different firm behaviours and strategies in different institutional contexts result in variegation in network structures. Based on those studies, this paper first examines how networks have been shaped by China's institutional transition in general and the process of marketisation in particular. Furthermore, we stress that the rise of networks in China's film industry has in return boosted the development of private firms and subsequently pushed forward the process of marketisation in this industry. Empirical results show that private firms have benefitted more from the complementarity between direct knowledge spillovers via inter-firm networks and indirect knowledge spillovers via inter-city networks, while state-owned enterprises are incapable of coping with the competition effects stemming from inter-city networks and fail to benefit from trans-local knowledge spillovers in networks. Our main contribution is thus to direct attention to the interaction between network dynamics and institutional transition, which remains underexplored in the current literature.
UK-wide multivariate neighbourhood classifications have been built using small area population data following every census since 1971, and have been built using Output Area geographies since 2001. Policy makers in both the public and private sectors find such taxonomies, typically arranged into hierarchies of Supergroups, Groups and Subgroups, useful across a wide range of applications in business and service planning. Recent and forthcoming releases of small area census statistics pose new methodological challenges. For example, the 2022 Scottish Census was carried out a year after those in other UK nations, and some of the variables now collected across different jurisdictions do not bear direct comparison with one another. Here we develop a methodology to accommodate these issues alongside the more established procedures of variable selection, standardisation, transformation, class definition and labelling.
Despite its history of colonialism, slavery, and exploitation that has led to a deterioration of its environmental and social fabrics, the Caribbean has not been at the centre of mainstream environmental justice discourse. However, there are deep lessons to be learnt from centring the region.