scholarly journals Just Starting Out: Learning and Equilibrium in a New Market

2018 ◽  
Vol 108 (3) ◽  
pp. 565-615 ◽  
Author(s):  
Ulrich Doraszelski ◽  
Gregory Lewis ◽  
Ariel Pakes

We document the evolution of the new market for frequency response within the UK electricity system over a six-year period. Firms competed in price while facing considerable initial uncertainty about demand and rival behavior. We show that prices stabilized over time, converging to a rest point that is consistent with equilibrium play. We draw on models of fictitious play and adaptive learning to analyze how this convergence occurs and show that these models predict behavior better than an equilibrium model prior to convergence. (JEL D22, D83, L13, L94, L98)

Author(s):  
Christopher Hood ◽  
Rozana Himaz

This chapter draws on historical statistics reporting financial outcomes for spending, taxation, debt, and deficit for the UK over a century to (a) identify quantitatively and compare the main fiscal squeeze episodes (i.e. major revenue increases, spending cuts, or both) in terms of type (soft squeezes and hard squeezes, spending squeezes, and revenue squeezes), depth, and length; (b) compare these periods of austerity against measures of fiscal consolidation in terms of deficit reduction; and (c) identify economic and financial conditions before and after the various squeezes. It explores the extent to which the identification of squeeze episodes and their classification is sensitive to which thresholds are set and what data sources are used. The chapter identifies major changes over time that emerge from this analysis over the changing depth and types of squeeze.


2021 ◽  
Vol 9 (3) ◽  
pp. 311
Author(s):  
Ben R. Evans ◽  
Iris Möller ◽  
Tom Spencer

Salt marshes are important coastal environments and provide multiple benefits to society. They are considered to be declining in extent globally, including on the UK east coast. The dynamics and characteristics of interior parts of salt marsh systems are spatially variable and can fundamentally affect biotic distributions and the way in which the landscape delivers ecosystem services. It is therefore important to understand, and be able to predict, how these landscape configurations may evolve over time and where the greatest dynamism will occur. This study estimates morphodynamic changes in salt marsh areas for a regional domain over a multi-decadal timescale. We demonstrate at a landscape scale that relationships exist between the topology and morphology of a salt marsh and changes in its condition over time. We present an inherently scalable satellite-derived measure of change in marsh platform integrity that allows the monitoring of changes in marsh condition. We then demonstrate that easily derived geospatial and morphometric parameters can be used to determine the probability of marsh degradation. We draw comparisons with previous work conducted on the east coast of the USA, finding differences in marsh responses according to their position within the wider coastal system between the two regions, but relatively consistent in relation to the within-marsh situation. We describe the sub-pixel-scale marsh morphometry using a morphological segmentation algorithm applied to 25 cm-resolution maps of vegetated marsh surface. We also find strong relationships between morphometric indices and change in marsh platform integrity which allow for the inference of past dynamism but also suggest that current morphology may be predictive of future change. We thus provide insight into the factors governing marsh degradation that will assist the anticipation of adverse changes to the attributes and functions of these critical coastal environments and inform ongoing ecogeomorphic modelling developments.


Author(s):  
Kiran Tota-Maharaj ◽  
Alexander McMahon

AbstractWind power produces more electricity than any other form of renewable energy in the United Kingdom (UK) and plays a key role in decarbonisation of the grid. Although wind energy is seen as a sustainable alternative to fossil fuels, there are still several environmental impacts associated with all stages of the lifecycle of a wind farm. This study determined the material composition for wind turbines for various sizes and designs and the prevalence of such turbines over time, to accurately quantify waste generation following wind turbine decommissioning in the UK. The end of life stage is becoming increasingly important as a rapid rise in installation rates suggests an equally rapid rise in decommissioning rates can be expected as wind turbines reach the end of their 20–25-year operational lifetime. Waste data analytics were applied in this study for the UK in 5-year intervals, stemming from 2000 to 2039. Current practices for end of life waste management procedures have been analysed to create baseline scenarios. These scenarios have been used to explore potential waste management mitigation options for various materials and components such as reuse, remanufacture, recycling, and heat recovery from incineration. Six scenarios were then developed based on these waste management options, which have demonstrated the significant environmental benefits of such practices through quantification of waste reduction and greenhouse gas (GHG) emissions savings. For the 2015–2019 time period, over 35 kilotonnes of waste are expected to be generated annually. Overall waste is expected to increase over time to more than 1200 kilotonnes annually by 2039. Concrete is expected to account for the majority of waste associated with wind turbine decommissioning initially due to foundations for onshore turbines accounting for approximately 80% of their total weight. By 2035–2039, steel waste is expected to account for almost 50% of overall waste due to the emergence of offshore turbines, the foundations of which are predominantly made of steel.


2020 ◽  
pp. 1-19
Author(s):  
SHARON WRIGHT ◽  
PETER DWYER

Abstract Universal Credit is the UK’s globally innovative social security reform that replaces six means tested benefits with one monthly payment for working age claimants - combining social security and tax credit systems. Universal Credit expands welfare conditionality via mandatory job search conditions to enhance ‘progression’ amongst working claimants by requiring extra working hours or multiple jobs. This exposes low paid workers to tough benefit sanctions for non-compliance, which could remove essential income indefinitely or for fixed periods of up to three years. Our unique contribution is to establish how this new regime is experienced at micro level by in-work claimants over time. We present findings from Qualitative Longitudinal Research (141 interviews with 58 claimants, 2014-17), to demonstrate how UC impacts on in-work recipients and how conditionality produces a new coerced worker-claimant model of social support. We identify a series of welfare conditionality mismatches and conclude that conditionality for in-work claimants is largely counterproductive. This implies a redesign of the UK system and serves as an international warning to potential policy emulators.


2007 ◽  
Vol 31 (3) ◽  
pp. 411-433 ◽  
Author(s):  
Alan Czaplicki

This article explains how pasteurization—with few outspoken political supporters during this period—first became a primary milk purification strategy in Chicago and why eight years passed between pasteurization’s initial introduction into law and the city’s adoption of full mandatory pasteurization. It expands the current focus on the political agreement to pasteurize to include the organizational processes involved in incorporating pasteurization into both policy and practice. It shows that the decision to pasteurize did not occur at a clearly defined point but instead evolved over time as a consequence of the interplay of political interest groups, state-municipal legal relations, and the merging of different organizational practices. Such an approach considerably complicates and expands existing accounts of how political interests and agreements shaped pasteurization and milk purification policies and practice.


1995 ◽  
Vol 72 (3) ◽  
pp. 666-681 ◽  
Author(s):  
Robert H. Wicks

This article suggests a theoretical explanation of the processes related to recall and learning of media news information. It does so by linking the concepts of schematic thinking and the Search of Associative Memory (SAM) to the variable of time. It argues that learning from the news may be better than many recent studies suggest. Although humans may have trouble recalling discrete news stories in recall examinations, it seems likely that they acquire “common knowledge” from the news media. Time is an important variable in helping people to remember news if they use it to think about new information in the context of previously stored knowledge.


2014 ◽  
Vol 11 (02) ◽  
pp. 1450004
Author(s):  
FEDERICA CECI ◽  
DAJANA D'ANDREA

This paper aims to provide a comprehensive picture of knowledge dynamics in fragmented industries in which economic activities are performed through inter-firm projects. The organization performing the project often does not survive the project itself, though knowledge is acquired and retained over time and across the whole industry. Notwithstanding scholars' interest, a systematic understanding of this subject is still lacking. To fill this gap, an analytical model has been developed to describe the processes of knowledge acquisition and retention in fragmented industries. Drawing upon empirical evidence collected from the UK media content industry and literature on project-based learning, project-based organization and organizational learning, the model presents the variables involved in these processes, distinguishing them according to the level at which they act (individual, project, industry) and according to the role they play (process or moderator). Implications for practitioners and policymakers are then discussed.


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