Control and commitment HR practices,job satisfaction and turnover intentions: a comparison between local and multinational firms in China

There is a growing body of literature and debate around control versus commitment human resource management (HRM) systems and their impacts on employees. However, the impacts of these constructs have not been widely examined in more emerging economies. Taking a specific sample of educated professionals working for multinational and local firms in China, this study investigated employee perceptions of control and commitment HR practices, job satisfaction and turnover intentions. A total of 311 respondents completed a structured survey questionnaire. Results revealed that those working for multinational firms reported more positive perceptions of their employers' control and commitment HR practices. In multinational firms, the use of commitment HR practices predicted lower intentions to leave. However, in domestic firms a lack of control HR practices predicted higher turnover intentions. Theoretically, the study adds to discussions about the nature and roles of these constructs, their impacts on HR outcomes and how institutional mechanisms might shape the degree of HRM homogeneity and hybridity across organizations in China. Practically, the study provides guidance to international and local firms on how to improve their HRM effectiveness to achieve a higher retention of their most talented professionals.     

Broadband achievement index: Moving beyond availability

High-speed access to the Internet enhances economic prosperity, social development and global competitiveness. Significant progress has been made in broadband deployment in the last decade. Nevertheless, there are increasing gaps in broadband adoption, use and speed between, as well as within, the states. Federal and state legislators and regulators currently use a number of indicators such as adoption, availability and speed to track states’ progress in broadband diffusion in order to design appropriate policy responses. Single indicators, however, when analyzed individually, fall short of capturing multi-dimensional aspects of broadband diffusion and, thus, do not provide an integrated and easily comprehensible picture of states’ advancement. To monitor states’ overall progress it is useful to aggregate various indicators into a composite index that could measure the overall extent of broadband diffusion. A composite index can also provide with an important benchmark for designing policies to improve states’ overall performance. This paper offers a flexible framework for benchmarking states’ achievement in broadband diffusion by proposing a composite Broadband Achievement Index (BAI). The index combines several key performance indicators: broadband availability, adoption, competition, speed and the dispersion of broadband adoption within the states utilizing FCC's Form 477 data and the recently collected census block level broadband availability data from NTIA. The purpose is to provide a more comprehensive picture of where the states stand in their evolution toward high-performance America by measuring each state's current broadband achievement relative to other states and providing an important benchmark for assessing state-specific needs. The indicators are combined using the Benefit of the Doubt (BOD) methodology (Cherchye, Moesen, & Van Puyenbroeck, 2004). The methodology is founded on the premise that, absent a consensus on social policy priorities, that are, on which indicators are more important and should be given higher weights in the index, each state is granted leeway for deciding how to weigh its own indicators and the most favorable weights for indicators are determined for each state. A good relative performance in a particular dimension is seen as revealed evidence of setting high state policy priority to that indicator, when each state's specific policy priorities are unknown. Additionally, the Second Order Stochastic Dominance (SOSD) methodology is used to compare the dispersion of adoption in the states. Using SOSD the states are ranked under the assumption that proportionally higher and more equally distributed adoption rates are better.     

Location of cargo terminals in metropolitan areas of developing countries: the Brazilian case

This article presents a procedure for establishing and ranking the areas that are candidates for building truck cargo terminals, based on the analytic hierarchy process (AHP) and considering location factors, with focus on accessibility considerations, expressed by indicators derived from graph theory. Accessibility is thus defined objectively for each area, contemplating its needs regarding production or consumption of cargo or promotion of intermodal transport of products. The proposed approach determines the most suitable area for locating the terminal according to the perception of each actor participating in the process as well as the set of actors, seeking to conjugate conflicting interests and facilitate convergence and the establishment of negotiated solutions. With this, it provides a more transparent and participative decision-making process and supplies basic elements for government bodies to formulate their socioeconomic development policies. The application of this procedure in the greater Rio de Janeiro metropolitan region demonstrated its feasibility in developing countries and in contexts with restricted data, funding and planning.     

Explaining time variation in geographic price dispersion

The pattern of price dispersion significantly varies over time and across locations. Using a detailed dataset with product-level retail prices, we examine the role of time-varying factors in shaping the time variation of price dispersion. We find that price dispersion variation in an integrated region is mainly driven by oil prices, while the variation in a segmented region is attributed to dispersion in real income. We also find that dispersion in value-added tax rates explains a significant portion of price dispersion fluctuations in both geographic dimensions. This paper offers new evindence on the trade-off that exists for the role of time-varying factors as contributors to price dispersion variation by highlighting their relative importance across different dimensions of economic geography.     

Academies 2 – The New Batch: The Changing Nature of Academy Schools in England

The English education system has undergone large‐scale restructuring through the introduction of academy schools. The most salient feature of these schools is that, despite remaining part of the state sector, they operate with more autonomy than the predecessors they replaced. Two distinct periods of academy school introduction have taken place, under the auspices of different governments. The first batch was initiated in the 2002–03 school year by the Labour government of the time, and was a school improvement programme directly aimed at turning around badly performing schools. The second batch involved a mass academisation process following the change of government in May 2010 and the Academies Act of that year, which resulted in increased heterogeneity of new academies. This paper compares the two batches of introduction with the aim of getting a better understanding of their similarities and differences, and their importance for education policy. To do so, we study what types of schools were more likely to change to academy status in the two programmes, and the impact of this change on the quality of new pupil enrolments into the new types of school. Whilst we do point out some similarities, these are the exception rather than the norm. For the most part, our analysis reveals a number of marked dissimilarities between the two programmes, in terms of both the characteristics of schools that became academies and the changes in pupil intakes that occurred post‐conversion.     

The shifting dependence dynamics between the G7 stock markets

The growing interdependence between financial markets has attracted special attention from academic researchers and finance practitioners for the purpose of optimal portfolio design and contagion analysis. This article develops a tractable regime-switching version of the copula functions to model the intermarkets linkages during turmoil and normal periods, while taking into account structural changes. More precisely, Markov regime-switching C-vine and D-vine decompositions of the Student’s t copula are proposed and applied to returns on diversified portfolios of stocks, represented by the G7 stock market indices. The empirical results show evidence of regime shifts in the dependence structure with high contagion risk during crisis periods. Moreover, both the C- and D-vines highly outperform the multivariate Student’s t copula, which suggests that the shock transmission path is as important as the dependence itself, and is better detected with a vine copula decomposition.     

Can VPIN forecast geopolitical events? Evidence from the 2014 Crimean Crisis

We study the recent Crimean Crisis and the sequence of outcomes that led to the intervention by the Russian Army, which directly affected equity prices in Russia, to investigate how informed traders may have used their advantage to trade prior to the moment markets fell. We compute the Volume-synchronized Probability of Informed Trading (VPIN) for the Russian RTS equity index and for individual stocks, documenting that levels of informed trading increased considerably between one and three trading days before market prices reflected the invasion. We also investigate the predictive power of the cumulative distribution of VPIN on future stock prices, showing a statistically significant (negative) relation during the period of elevated tensions between Russia and Ukraine. Last, we investigate the levels of VPIN measured for global depositary receipts of Russian firms, documenting a similar increasing pattern prior to the invasion date but generally subsequent to the spikes obtained from the corresponding securities locally traded in Russia. Overall, our results provide additional support for the use of VPIN as a tool for monitoring the likelihood of undesirable geopolitical events.     

Global trading of carbon dioxide permits with noncompliant polluters

An international mechanism intended to curb global carbon dioxide emissions, mirrored after the Kyoto Protocol, is composed of decentralized regulatory and enforcement authorities and two supranational agencies that are in charge of promoting international transfers and imposing punitive fines. Regulatory enforcement is costly and imperfect. Polluting firms located in various sovereign nations may not comply with emission regulations. We show that there is a combination of decentralized emission quotas and centralized income transfers and fines, with decentralized leadership in policy making, which induces regional regulatory authorities to internalize all environmental and pecuniary externalities.