Trading off learning and performance: Exploration and exploitation at work

Employees are increasingly given control over how they learn, and their choices for training are diverse and varied, yet employees must balance competing demands. On one hand, they are expected to be increasingly efficient in their current job duties – on the other hand, they are expected to develop new skills and competencies that enable them to adapt and respond to changing job demands. Drawing from the organizational learning literature, we propose a model of worker and work characteristics that inform choices between two mindsets related to learning at work. The first mindset is exploration, or the pursuit of learning outside one’s current knowledge domain; the second mindset is exploitation, the refinement/deepening of one’s existing knowledge stock focusing on the task at hand. We further propose that these strategic choices, or trade-offs, influence employee learning and performance in unique ways, with different implications for both routine and adaptive performance. Finally, we incorporate the notions of feedback loops and risk assessments that influence ongoing decisions between exploration and exploitation mindsets. Recommendations for future research and extensions of the theoretical model are also proposed.     

A Framework for the Simultaneous Measurement of Spatial Variation and Temporal Movement in Prices in a Heterogeneous Country: The Dynamic Household Regional Product Dummy Model

This paper contributes to the growing literature on spatial prices in large heterogeneous countries. While the literatures on spatial variation and temporal movement in prices have grown in parallel, this study marks a departure by providing a unified treatment and proposing a comprehensive framework that allows both approaches. The proposed model is based on twin extensions of the household version of the “country product dummy model” by allowing for a dynamic stochastic specification and interdependence of spatial prices of geographically adjacent regions. Tests of temporal stability and regional independence of the estimated spatial prices are proposed and applied in this paper. The paper shows that the introduction of an autoregressive error process of order one, AR(1), improves the efficiency of the estimates of parameters, urban‐rural and temporal price indices under certain conditions. The Indian application points to a rich potential for using the proposed framework in cross country comparisons such as the International Comparison Program (ICP) exercises.     

Financing the sustainable management of Rwanda's protected areas

Rwanda's Nyungwe National Park is a biodiversity hotspot with the most endemic species in the ecoregion and the highest number of threatened species internationally. Nyungwe supplies critical ecosystem services to the Rwandan population including water provisioning and tourism services. Tourism in the Park has strong potential for financing enhanced visitor experiences and the sustainable management of the Park. This paper explores quantitatively the economic impacts of adjustment in Park visitation fees and tourism demand as a source of revenues to improve Park tourism opportunities and ongoing operations and maintenance. The methods developed in this paper are novel in integrating the results of stated preference techniques with a regional computable general equilibrium modelling approach to capture multisectoral, direct, indirect and induced impacts. Such methods have strong potential for assessing revenue generation alternatives in other contexts where park managers are faced with the need to generate additional revenue for sustainable park management while facing diminishing budget allocations. Results of this analysis demonstrate that adjustment of Park fees has a relatively small impact on the regional economy and well-being when compared with a strategy aimed at generating increased tourism demand through investment in improving the visitor experience at Nyungwe National Park.     

粤港澳大湾区城市群区域治理机制的架构思考:从政府治理权出发

推进建设粤港澳大湾区城市群,尤其应当重视各级政府在该区域治理机制架构中的地位。协调不同法域、不同层级和不同类型地方政府之间的治理权,是推进该城市群协调发展,并率先推进实现新型城镇化转型的基础和保障。就该区域而言,政府治理权的架构可以分为三个层次:根据中央顶层设计的区域布局,推动地方政府转换行使治理权的视阈,合理安排不同地方政府治理权,并建立权力协作机制;由此机制出发,协调区域内各地方的发展方向,深化彼此之间利益共生关系;最后,与利益共享对应,还应当配合财政供给改革,实现区域治理责任的成本共担。     

Life Course Perspective on Economic Shocks and Income Inequality Through Age-Period-Cohort Analysis: Evidence From Finland

Utilizing age-period-cohort analysis, this paper examines the development of income distribution across periodic economic fluctuations in relation to cohorts and age groups. The empirical analysis is based on the Finnish Income Distribution Statistics and Household Expenditure Surveys covering the period of 1966–2015. The findings suggest that the period and cohort effects can be identified as the main effects on relative income, while the age effects have no meaningful impact when the control variables are taken into account. This result reveals a connection between the effects of economic shocks and cohort placement on labor market entry. Additionally, absolute income analysis suggests that economic shocks create stagnation points in income development, which are especially detrimental to cohorts who are transitioning into labor markets. Additionally, middle-income attainment has not changed due to periodic shocks but rather is related to inter-cohort inequalities and relative income differences, where the baby boomer generation is a clear winner.     

A Stochastic Model with Penalized Coefficients for Spatial Price Comparisons: An Application to Regional Price Indexes in Italy

This paper focuses on a new strand of research that uses stochastic approach for making spatial price comparisons. We propose a novel method to account for the presence of spatial dependencies in consumer prices and consequently in price indexes by imposing penalization conditions on the estimation of traditional CPD models leading to the spatially-penalized country-product-dummy (SP-CPD) model. The paper proposes an appropriate estimation strategy, which enables us to simultaneously estimate all the parameters in the model, including the smoothing parameter of the penalization term instead of determining it externally. In order to estimate spatial price indexes for areas lacking in price data, we suggest applying the kriging methodology to the price indexes obtained from the SP-CPD model. This new approach is applied to official Italian CPI data for constructing regional spatial price indexes for 2014. The results show that price levels are higher in the Northern-Central regions than in the South.     

城乡炫耀性消费差异的根源探索

运用中国家庭追踪调查数据,研究发现:农村家庭的炫耀性消费支出比例显著高于城镇家庭,且这一结果随时间变化比较稳健。进一步研究发现,在考虑了家庭参照群体的平均收入之后,城乡炫耀性消费差异不再显著,且参照群体的平均收入对家庭炫耀性消费的影响显著为负。这很可能来源于家庭为寻求社会地位而消费的动机,更高的社会地位意味着更多的财富和带来更高的收益。炫耀性消费充当了家庭社会地位的信号,向其参照群体传递了自身的收入水平状况,参照群体的平均收入越低,消费者寻求社会地位的消费动机越强。农村家庭参照群体的平均收入较低,所以其寻求社会地位的动机更强、炫耀性消费水平更高。因此,寻求社会地位的消费动机是城乡炫耀性消费差异的主要原因。     

高质量发展视角下区域创新能力的提升路径 ——以南京市江宁区为例

我国经济已由高速增长阶段转变为高质量发展阶段,实现高质量发展是新时代我国经济发展的根本要求。高质量发展与创新驱动紧密关联,必须多举措协同提升区域创新能力。区域创新能力是指一个地区将知识转化为新产品、新工艺、新服务的能力,代表了创新要素在一定区域内聚集、整合以及推动区域可持续发展的基本能力。为了有效提升区域创新能力,必须强化区域创新的综合保障、构建区域创新综合生态体系、促进创新创业项目孵化与成果转化、强化区域制造业发展相关的创新活动等。以南京市江宁区为例对此进行了分析,该区积极实施战略科技引领计划,不断强化创新工作,通过促进区域创新平台建设、区域创新的服务支撑体系构建、高端创新资源在区域的聚集、区域制造业创新发展及合理布局等,不断增强区域创新能力,有效支撑了区域高质量发展。     

Will FinTech make regional banks superfluous for small firm finance? Observations from soft information-based lending in Germany

Regional banks have a competitive advantage in that short distances to clients enable the use of soft information for superior lending decisions. If the ambition of FinTech start-ups to create superior screening and monitoring technologies materialises, this advantage would be diminished and regional banks would become superfluous for small firm finance. To explore this claim, the paper in hand analyses qualitative empirical data about the lending processes and rating system use of regional German savings banks. In essence, the results from participant observation and interviews clarify the importance of “real” soft information for critical lending decisions. The context specificity and limited verifiability of “real” soft information hamper it from being hardened through the use of rating systems and other bank-ICT. Though FinTech's scoring technologies may overcome the first limitation, it appears likely that in the course of scoring development “real” soft information will be systematically crowded out due to the manipulation problem. The paper expects improved access to finance for SMEs if FinTech solutions overcome both limitations of “real” soft information use, or if peer-to-peer lending and regional banks coexist. Deteriorated access to finance is expected if FinTech companies displace the relationship banking of regional banks due to enhanced competition, without preserving the advantages of “real” soft information with superior screening and monitoring technologies. The paper concludes with recommendations on how to prevent deteriorated access to finance for small firms by promoting fair competition and FinTech innovations.     

省级区域规划实施评估方法和机制探究

省级区域规划是国家和地方发展和空间规划体系中的重要组成部分。在我国建立更加有效的区域协调发展新机制的实践中,探究我国省级区域规划实施评估中存在的问题,研究和建立更加有效的省级区域规划实施评估的内容、方法和机制,对于进一步落实好省级政府的责任和义务,更好全面、有效实施好省级区域规划具有重要推动作用。文章提出了我国省级区域规划实施评估存在的问题、评估的方法、评估的内容和指标体系,并提出了具体建立更加有效的省级区域规划实施评估机制的建议和设想。