Unemployment and econometric learning

We apply well-known results of the econometric learning literature to the Mortensen and Pissarides real business cycle model. Agents can always learn the unique rational expectations equilibrium (REE), for all possible well-defined sets of parameter values, by using the minimum-state-variable solution to the model and decreasing gain learning. From this perspective the assumption of rational expectations in the model could be seen as reasonable. But using a parametrisation with UK data, simulations show that the speed of convergence to the REE is slow. This type of learning dampens the cyclical response of unemployment to small structural shocks.     

产业互联下基于双循环的供应链合作稳定性研究

以一条由制造商和零售商组成的二级供应链为研究对象,通过测算产业互联度与双循环程度,研究对供应链合作稳定性的影响.研究发现:在国内环境中,产业互联度与内循环程度呈正比关系,产业互联度越高,内循环程度越高;内循环度程度提高,内需扩大,供应链上的企业选择合作时的整体收益要大于不合作时的收益,因此达到供应链长期稳定合作.通过从国内角度寻找出的规律应用于国际供应链中,为企业参与全球经济提供启示.     

Forget about ‘the ideal worker’: A theoretical contribution to the debate on flexible workplace designs,work/life conflict,and opportunities for gender equality

This study integrates insights from Self-Determination Theory and Boundary Theory to present scenarios on how flexible workplace designs can trigger multiple motivational processes underlying gendered work/nonwork integration behaviors, and how these affect work/life conflict. We disentangle processes underlying work engagement and work/life conflict, explaining the paradoxical outcomes found with regard to gender inequality in terms of work/life performance, satisfaction, and health. Policy makers and organizations need an increased understanding and a reconceptualization of these issues, realizing that the ideal worker does not exist. Instead, a long-term perspective is needed in order to truly realize the potential benefits of flexible workplace designs for all stakeholders. Organizations need to take responsibility for preventing individual workers’ depletion and stimulating the regeneration of workers’ resources.     

Increasing linkages among European regions. The role of sectoral composition

This paper analyses changes in economic regional interlinkages in Europe over time and investigates the factors that could explain the dynamics of these changes. Our four main findings are the following: (i) we detect a significant surge in regional synchronisation after the Great Recession; (ii) we identify the regions most interrelated with the rest of Europe, namely, Ile de France, Inner London and Lombardia; (iii) we find that sectoral composition explains regional synchronisation in Europe, mainly after the Great Recession and (iv) we document that sectoral composition has important implications for aggregate economic fluctuations, in particular, that similarities in services-related sectors across regions explain a nonlinear relationship between sectoral composition and regional business cycle synchronisation. We also propose a new method to measure time-varying synchronisation in small samples that combines regime-switching models and dynamic model averaging.     

Distributive cycles and endogenous technical change in a BoPC growth model

Our purpose in this paper is to expand Goodwin's (1967) distributive cycle model to an open economy framework in a way that incorporates the balance-of-payments constraint on growth. We do so by allowing technical change to be endogenous to the cyclical dynamics of the system and by adopting an independent investment function. We show that a Hopf-Bifurcation analysis establishes the possibility of persistent and bounded cyclical paths both for a 3D and a 4D extension of the model. Some numerical simulations are performed based on the analytical models developed. Motivational empirical evidence is also provided for Thirlwall's law using a sample of 16 OECD countries.     

Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization*

Improving fuel economy and lowering emissions are key societal goals. Standard driving cycles, pre-designed by the US Environmental Protection Agency (EPA), have long been used to estimate vehicle fuel economy in laboratory-controlled conditions. They have also been used to test and tune different energy management strategies for hybrid electric vehicles (HEVs). This paper aims to estimate fuel consumption for a conventional vehicle and a HEV using personalized driving cycles extracted from real-world data to study the effects of different driving styles and vehicle types on fuel consumption when compared to the estimates based on standard driving cycles. To do this, we extracted driving cycles for conventional vehicles and HEVs from a large-scale U.S. survey that contains real-world GPS-based driving records. Next, the driving cycles were assigned to one of three categories: volatile, normal, or calm. Then, the driving cycles were used along with a driver-vehicle simulation that captures driver decisions (vehicle speed during a trip), powertrain, and vehicle dynamics to estimate fuel consumption for conventional vehicles and HEVs with power-split powertrain. To further optimize fuel consumption for HEVs, the Equivalent Consumption Minimization Strategy (ECMS) is applied. The results show that depending on the driving style and the driving scenario, conventional vehicle fuel consumption can vary widely compared with standard EPA driving cycles. Specifically, conventional vehicle fuel consumption was 13% lower in calm urban driving, but almost 34% higher for volatile highway driving compared with standard EPA driving cycles. Interestingly, when a driving cycle is predicted based on the application of case-based reasoning and used to tune the power distribution in a hybrid electric vehicle, its fuel consumption can be reduced by up to 12% in urban driving. Implications and limitations of the findings are discussed.     

Then and Now: Examining Older People's Engagement in Outdoor Recreation Across the Life Course

Outdoor recreation provides a range of health and wellbeing benefits and facilitates engagement with natural environments. We explore older people's participation in outdoor recreation throughout their lives to examine how past experiences shape engagement later in life. A qualitative life history approach, consisting of semi-structured interviews and a focus group in three place-specific (urban, rural, and small town coastal) case studies in Scotland, was adopted. Thematic analysis revealed ways in which childhood experiences shaped adult engagement and highlighted life course transitions where behaviour change was most pronounced. Place and gender were considered as factors which may affect responses. Participants identified the points of getting married, becoming a parent, children entering adolescence, retirement, the onset of disabilities or ill health, and the death of others as “moments of change” in the extent and/or form of their outdoor recreation. The findings highlight potential for targeted interventions to promote outdoor recreation throughout life.     

History of microfinance in Bangladesh: A life cycle theory approach

This study aims to conceptualise and document the historical evolution of microfinance in Bangladesh using the life cycle theory (LCT). Based on the LCT nomenclature, the microfinance sector in Bangladesh shows characteristics broadly consistent with the saturation phase (2006–2015) – which potentially has adverse impacts on both microfinance clients and institutions. The maturity phase (1996–2005) of microfinance has corresponded with competition and several innovations (financial and non-financial). However, the saturation phase sees increasing presence of uncoordinated microfinance institutions and expansion of multiple borrowing, as well as commercialisation and ‘mission drift’, which constitute important challenges for the regulatory authority and management of microfinance institutions.     

产业集群内生性集体行动影响因素案例研究与效度检验

基于利益集团等多重主流理论视角和半开放性编码技术的部分探索性案例研究，发现产业集群内生性集体行动受到内生需求、长期导向、本地嵌入、政策激励、同行反应、协会治理、集群规模和集群类型等因素的综合影响。经因子分析和逐步回归等方法检验，上述影响因素组合具有较为理想的建构效度和效标效度。其中，内生需求、长期导向、本地嵌入、政策激励、同行反应和协会治理等属于正面激发因素，对集群企业参与内生性集体行动具有积极促进作用，而集群规模和集群类型等则属于负面阻碍因素，对集群企业参与内生性集体行动具有消极抑制作用。     

Mandatory disclosure,greenhouse gas emissions and the cost of equity capital: UK evidence of a U-shaped relationship

This paper examines the effects of disclosing greenhouse gas (GHG) information mandatorily on the cost of equity capital (COC) using a longitudinal unbalanced panel database of the United Kingdom's FTSE 350 firms for the period 2011–2016. We use a nonlinear panel quantile regression (PQR) model to examine the relationship between GHG disclosure (GHGD) and COC in the United Kingdom. This technique was supplemented by conducting a two-step generalised method of moment (GMM) estimation to address any concerns related to the potential existence of endogeneity problems. Our findings suggest that high-level GHGD appeared to be negatively associated with COC up to a certain level, which is known as the turning point; then, any increase in GHGD is likely to increase the COC. This means that the nonlinear association between GHGD and COC is evidenced in our study and takes a U shape. Likewise, our findings are associative of a moderating effect of the 2013 carbon disclosure regulation (CDR) on the GHGD–COC nexus. We argue that mandatory GHGD and GHG risk are linked so that those companies that are associated with higher GHG risk have a tendency to be better disclosers. Consequently, we urge regulators to design GHGD regulations in a way that mirrors corporate environmental risk and leads to a lower COC in order to align the interests of corporations with those of the society at large.