Improving footprint calculations of small open economies: combining local with multi-regional input–output tables

In a small, open and resource-poor economy, import and export dependency have an ever-growing impact on local policy decisions, which makes local (environmental) policy-makers increasingly depend on global data. This increases the interest in models that link local production and consumption data to global production, trade and environmental data. The recent increase in availability of global environmentally extended multi-regional input-output tables (EE-MRIO tables) provides an opportunity to link them with existing local environmentally extended input-output tables (EE-RIO tables). These combined tables make it possible (1) to analyse the links between local and global production and consumption and (2) to study global value chains, material use and environmental impacts simultaneously. However, estimations using input-output (I–O) analyses contain errors due to imperfect databases. In this article the magnitude of specification, aggregation and time errors are estimated and compared. The results show the need to combine local datasets with multi-regional ones and show that highest detailed (country and sector levels) as well as time series of I–O tables are the way forward for using I–O analyses in local policy-making. The paper provides guidance on trading off investments in model adoption and/or extension and the reliability of estimation results.     

German stagnation versus Swedish progression: gender wage gaps in comparison, 1960–2006

This article provides a comparative analysis of the development of the gender wage gap in West Germany and Sweden during the period 1960–2006. Despite the economic similarities including broad social safety nets, the gap has developed differently since 1960. This analysis accounts for micro- and macroeconomic factors and politics and concludes that norms and traditions penetrate institutional settings and ensnare Germany in a cultural trap with regard to gender equality. While Sweden has moved to a two-earner model, German society expects mothers to stay at home. The micro analysis shows that family concerns (e.g. marriage and motherhood) decrease female income in Germany to a far greater extent than do such factors in Sweden, which can be explained in part by deeply held social attitudes.     

IMMIGRANT RELATIVE WAGES AT THE GREAT RECESSION: EVIDENCE WITH MATCHED EMPLOYER‐EMPLOYEE DATA FOR SPAIN

The article examines relative wages of immigrants in Spain, with a particular focus on the impact of the Great Recession. The empirical analysis is restricted to men and is based on matched employer‐employee microdata and the decomposition techniques of Juhn et al. (1991, 1993) and Fortin et al. (2011). Our results show that the significant native‐immigrant wage gap that exists both in terms of average wages and of differentials along the wage distribution is essentially explained by differences in the endowments of observed characteristics so that, in general, immigrants tend to receive a similar wage treatment than Spaniards with analogous observed attributes. On the other hand, the Great Recession has had a noticeable impact on the relative wages of immigrants, given that the significant increase of the native‐immigrant wage gap observed during the previous expansionary period was mitigated during the economic downturn due to composition effects arising from the severe employment destruction pattern.     

Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm

In this paper, we propose a method for improving the accuracy of the estimation of interregional input–output tables, by combining the RAS method and the real-coded Genetic Algorithm (GA); these are simple representative methods for the estimation of an interregional input–output table. By comparing the performance evaluation results obtained using the proposed method, the RAS method, and Simulated Annealing, we verified that the combination of the genetic algorithm and the RAS method can enhance the estimation accuracy of an interregional input–output table. In addition, performance is further enhanced by adjusting GA parameters.     

Measuring the economic impacts of major sports events: the case of Formula One Grand Prix (F1)

This study was examined the new money generated from Formula One Grand Prix (F1) and the economic impacts of this new money on the host economy using input–output analysis. We find that the impact of the new money from non-local attendees or international attendees is more pronounced compared to that from local attendees. Also, F1 event appears to influence on sports-related industry as well as other industries such as manufacturing industry. Our findings suggest that the host cities should focus on increasing the non-local and international attendees in order to enhance the economic impacts of a sport event.     

Reformulating Environmentally Constrained Traffic Equilibrium via a Smooth Gap Function

Various government laws have recently been enacted to alleviate the environmental deterioration of transportation systems. Environmental constraint is a valid means to explicitly reflect various environmental protection requirements imposed by the government. In this paper, we examine the environmentally constrained traffic equilibrium problem (EC-TEP), which is a fundamental tool for modeling and evaluating environmental protection requirements. Specifically, we provide an equivalent reformulation for the EC-TEP. The proposed reformulation adapts the concept of gap function to simultaneously reformulate the nonlinear complementarity conditions associated with the generalized user equilibrium conditions, environmental constraints, and conservation constraints as an equivalent unconstrained optimization problem. This gap function reformulation has two desirable features: (1) it can handle a general environmental constraint structure (linear or nonlinear; link-based or area-based) and a general link and route cost structure, enhancing the modeling adaptability and flexibility; (2) it is smooth and unconstrained, permitting a number of existing efficient algorithms for its solution. A gradient-based solution algorithm with a self-regulated averaging stepsize scheme is customized to solve the reformulated unconstrained optimization problem. Numerical examples are also provided to demonstrate the modeling flexibility of the proposed EC-TEP reformulation.     

New development: Gender (responsive) budgeting—a reflection on critical issues and future challenges

Gender budgeting needs to become institutionalized more strongly in our societies and public policies. The article suggests some of the possible challenges to be taken into consideration to make it ‘work’, including availability of technical capacities and data, securing support in the political agenda, involving stakeholders, balancing spontaneity and standardization, and considering wider sources of inequality.     

碳排放约束视角下产业智能化对区域经济差距的影响研究

本文利用2003~2019年中国省级面板数据,从碳排放约束视角出发,实证考察了产业智能化对区域经济差距影响的差异性和产业智能化影响区域经济差距的机制。研究表明,产业智能化对缩小全国、东、中和西部地区省域间经济差距具有显著的正向效应;进一步考虑碳排放约束,发现碳排放约束正向调节了产业智能化对区域经济差距的正向效应,西部地区由于自身产业结构和区位因素,抑制了产业智能化对区域经济差距的正向效应;最后,对产业结构升级的两个子维度在产业智能化和区域经济差距间的中介效应检验,发现产业结构升级的中介效应存在,且主要是通过产业结构高级化实现,产业结构合理化发挥的作用较小。     

Of stars and galaxies – Co-authorship network and research

We examine the association between network centrality and research using the accounting research community setting. We establish co-authorship network using papers published in the five top accounting journals from 1980 to 2016. We find that the co-authorship network in accounting is a “small world” with some most connected authors playing a key role in connecting others. We use machine learning to label published papers with multiple topics and find patterns in topics over time. More importantly, we find that co-authorship network centrality is positively associated with future research productivity and topic innovation and that the impact of centrality on productivity is higher with more senior authors. Further, centrality of an author’s co-authors also has an incrementally positive impact. We conclude that network centrality positively influences research output.     

技术进步中生产要素产出弹性关系假说及其检验

本研究提出了一个生产要素产出弹性关系假说,即在技术中性条件下,管理要素的产出弹性与劳动要素的产出弹性成正比,与资本要素的产出弹性成反比。通过构建自变量包括资本、劳动和管理要素的简单宏观生产模型,理论上证明了上述假说,经验上利用1970-2006年美国的时间序列数据和OECD七国面板数据也较好验证了假说。这种理论假说的分析和研究结果为我国继续回到经济快速增长的轨道而进行的政策选择空间提供了一个方向性指导。