Local fiscal policy after a bailout: austerity or soft budget constraints?

Do higher-level governments enforce austerity after bailing out indebted subnational governments or are bailouts a free lunch for the recipients? Analyzing this question empirically is difficult because bailouts are not granted randomly. This paper suggests a method to evaluate the fiscal consequences of subnational bailouts that does not rely on institutional details to obtain quasi-exogenous variation. The main idea is to combine matching and difference-in-differences designs. In a second step, I apply this method to study how bailouts affect the fiscal policy of recipient municipalities in the German federal state of Hesse. Combining disaggregated budget data with data on bailout payments over more than a decade, I find that municipalities consolidate their budgets after they receive a bailout from the state government. While this finding is specific to the German federal context, the proposed methodology can be used, due to its flexibility, to study the fiscal consequences of bailouts in various other settings.     

Why Unions in the United States will Die: American Labor Organizations in the Age of Trump

This essay analyzes the effects of Donald Trump’s election as President on organized labor in the United States and, more specifically, on the demographic of workers responsible for his electoral college victory. The argument is that culture rather than economics explains Trump’s success in capturing key industrial states. His support depended on white middle-aged male voters without college degrees, the same cohort that makes up the backbone of unions in the United States. The likelihood is that Trump’s policies will further immiserate the American working class rather than reinvigorate it. In three key areas, Trump’s presidency will result in lower union membership density and higher inequality of wealth. The cultural orientation of Trump’s supporters outweighed politics, policy, and competence in selecting a national leader.     

Organizing College Athletes Utilizing the Civil Rights Unionism Model

In January 2014, Northwestern University (NU) football players filed a certification election petition with the National Labor Relations Board’s (NLRB) Chicago regional office. After the NLRB ruled that they were employees having the legal right to unionize, the football players voted at the end of April 2014 with NU immediately appealing the regional director’s ruling after the balloting. In mid-August 2015, the Washington D.C. NLRB declined jurisdiction in this case, ending the football players’ unionization attempt. Because of the NLRB’s appellate ruling, however, unionization of college athletes remains a distinct possibility. Since a majority of U.S. collegiate basketball and football players are black, this paper argues that the model of unionism that should be adopted in any unionization attempt of these college athletes is civil rights unionism which represents a continuation of the historic, collective struggle of Black athletes to obtain their rights on athletic fields and in classrooms.     

Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis

Carbon dioxide (CO₂) emissions are largely driven by fossil fuels. To reduce CO₂ emissions in China, it is important to determine influential factors of energy efficiency. This paper introduces a slacks-based measure window analysis approach to evaluate regional dynamic energy efficiency during 2001–2010, and then explores energy efficiency determinants by considering spatial effects, which is conducted based on spatial econometric models. The empirical results show that there exist evident spatial correlations between regional energy efficiencies in China. We find that, there exist evident disparities in cumulative effects of energy efficiency among the eastern, central and western areas. Interestingly, significant energy efficiency spatial spillovers can be clearly found between regions within the western area and across the eastern and western areas. It is found that, energy structure, energy price, railway transportation development and R&D stock are significant at national level. However, energy structure and railway transportation development are insignificant in the central and western areas, while energy price and R&D stock are insignificant in the eastern and central areas, respectively. Industrial structure and urbanization level are found to be insignificant at national level, but industrial structure is significant in the eastern and western areas, and urbanization level is significant in the central and western areas. Surprisingly, industrial structure and urbanization level are found to have positive impacts on energy efficiency in the western area. In addition to regional disparities and local conditions, policies making should take efficiency spatial spillovers into consideration. Several interesting policy implications are achieved.     

A superlative index number formula for the Hicks-Moorsteen productivity index

The Malmquist and Hicks-Moorsteen productivity indexes are the two most widely used theoretical indexes for measuring productivity growth. Since these productivity indexes are defined by unknown distance functions, it is necessary to estimate the distance functions to compute them in principle. On the other hand, the Törnqvist productivity index is an empirical index number formula that is directly computable from the prices and quantities of the inputs and outputs alone. Caves et al. (1982) imply that the Malmquist index coincides with the Törnqvist index under profit maximizing behaviour and constant returns to scale technology. The purpose of the present paper is to point out that the Hicks-Moorsteen productivity index coincides with the Törnqvist productivity index under the same condition. We emphasize that the condition of constant returns to scale is indispensable for deriving the equivalence between the two indexes. Moreover, even when this condition is relaxed to the α returns to scale, the equivalence between the Hicks-Moorsteen and Törnqvist productivity indexes is shown to hold true.     

Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach

This paper investigates the productivity and efficiency of large bank holding companies (BHCs) in the United States over the period 2004–2013, by estimating a translog stochastic distance frontier (SDF) model with time-varying heterogeneity. The main feature of this model is that a multi-factor structure is used to disentangle time-varying unobserved heterogeneity from inefficiency. Our empirical results strongly suggest that unobserved heterogeneity is not only present in the U.S. banking industry, but also varies over time. Our results from the translog SDF model with time-varying heterogeneity show that the majority of large BHCs in the U.S. exhibit increasing returns to scale, a small percentage exhibit constant returns to scale, and an even smaller percentage exhibit decreasing returns to scale. Our results also show that on average the BHCs have experienced small positive or even negative technical change and productivity growth.     

Barriers to women entrepreneurship. Different methods,different results?

Building on research by Akehurst et al. (Serv Ind J 32:2489–2505, 2012), this study analysed internal and external factors in women entrepreneurship and linked these factors to the barriers that women face when starting businesses. To do so, two contrasting statistical techniques were used: PLS and QCA. After analysing results from each of these techniques, we observed that family duties and difficulties in obtaining financing (both internal and external) were the main factors related to barriers faced by women entrepreneurs.     

Open data in Nepal: a webometric network analysis

This study examines the current open data trends in Nepal based on the webometric analysis method by using search engines to trawl through websites and obtain data. The results indicate that various national and international nonprofit organizations, public sector organizations, educational institutions , and a few commercial organizations were the initial actors fostering open data in Nepal. Therefore, these organizations were analyzed in terms of their networking patterns and the extent to which they are exposed internationally in cyberspace by using Webometric Analyst 2.0. Inter-linkage analysis, co-mention analysis, and link impact analyses were conducted to explore the networking behavior in the World Wide Web. The results revealed that international organizations (IOs) were strongly interlinked. Nongovernmental organizations (NGOs), government organizations (GOs), and IOs were interlinked, but weakly. In terms of the co-mention network analysis, IOs with IOs were more significant than NGOs with NGOs, GOs, or business organizations because IOs had been working actively for many years, their web presence was high, and they worked in other fields, including open data. A link impact analysis was also conducted using its indicators of seed sites linked to external websites in terms of the estimated number of top-level domains and country-code top-level domains.