Pension Contributions and Firm Performance: Evidence from Frozen Defined Benefit Plans

We study the impact of freezing defined benefit (DB) pension plans and replacing them with defined contribution (DC) plans on liquidity, financial leverage, investment, and market value of a sample of firms over 2001‐2008. We find evidence that the pension freeze tends to attenuate the drain on corporate liquidity and relieve the pressure to borrow to pay for mandatory contributions (MCs) associated with underfunded DB plans. Although investors seem to favor the pension freeze as evidenced by positive announcement abnormal stock returns, there is little reliable evidence that the freeze increases investment efficiency and long‐term stock performance.     

The effects of multilateral trading systems on risk and return in equity markets

The event study methodology of Brown and Warner (1985) is adopted and augmented to evaluate the effect of the launch of multilateral trading systems on risk and return in equity markets. The methodology is supplemented with various techniques, such as the nonparametric ranking test and kernel regression, to find out if announcements about the introduction of Chi-X Australia generated abnormal returns (ARs). Asset pricing models are fitted with interaction variables, while GARCH, threshold ARCH (TARCH), exponential GARCH (EGARCH) and power-ARCH (PARCH) are used to determine changes in systematic risk. We find evidence in favour of Fisher’s separation theorem and detect a new market anomaly, which we call the ‘Fisher market anomaly’. Our results show that Chi-X system testings affect ARs. Consistent with the adaptive expectations theory, we confirm that the first announcement about the launch of Chi-X affected systematic risk the most. In addition, we identify industry and firm effects in risk analysis.     

Poverty identification: practice and policy implications in Vietnam

To identify poor households, the government of Vietnam applies a combination of proxy means tests and quick collection of income data. This paper examines how well the government's poverty identification reaches the really poor in Vietnam. It is found that there is a large difference between the poverty rate for provinces and districts reported by the government and the rates estimated using expenditure and income data from independent household surveys. There is also a large difference between the poverty status of households identified by local authorities and the poverty status identified by income or expenditure data. More than 50 per cent of the poor households identified by local authorities are not poor in terms of income or expenditure measures. A better identification approach would be to use only proxy means tests and not income data collected using the simple questionnaire.     

Corporate entrepreneurship: Current research and future directions

In this paper, we suggest future research on the processes and knowledge-based resources in corporate entrepreneurship (CE), argue for the need to appreciate the heterogeneity of CE in relation to new contexts, and suggest appropriate strategies for such contexts. First, we highlight the key contributions of the papers in this special issue, with a particular focus on how they provide insights into structural and process contingencies, the role of management at multiple levels, and organizational and managerial capabilities. We then discuss the limits to the applicability of theories developed in other contexts to CE. Finally, we suggest some future research, with particular emphasis on the corporate governance mechanisms that foster CE and the requisite managerial roles and skills in instigating and supporting entrepreneurial activities at different levels of the organization.     

An Evaluation of Inertia Models of Unemployment

Two approaches have been used to model unemployment. The first, conventional, approach involves linking the unemployment outcome to observed indices of productivity, structural factors and discrimination such as educational attainment, location and birthplace. The second approach, the inertia model, involves using a person's labour market history as a way of including in unemployment models information on the 'unobservables' that influence employability. This paper evaluates the performance of both models of unemployment. The results provide unambiguous support for the inertia model when modelling unemployment. The inertia model has higher explanatory power, higher within-sample prediction rate success and fewer out-of-sample forecasting errors than the conventional model. The estimates from the inertia model can be used to provide quite accurate predictions of the risk of becoming unemployed. This is important if individuals at high risk of becoming unemployed are to be targeted for labour market assistance.     

The effects of ownership concentration and corporate debt on corporate divestitures in Chinese listed firms

This study examines how ownership concentration and corporate debt impact corporate divestitures in China. Corporate divestitures reduce the asset base of a company and the opportunity for expropriation by majority shareholders. In emerging economies, weak legal institutions, combined with equity ownership concentration and high corporate debt, allow majority shareholders to avoid such disciplines. Consequently, the relationship between these governance mechanisms and divestiture activity exhibits a pattern that is different from that in developed economies. Using archival data collected from 1,210 Chinese listed companies during 1999–2003, we found that ownership concentration by the largest shareholder depressed corporate divestitures both in state-controlled and in non-state-controlled firms. The negative effect of corporate debt on divestitures only existed for state-controlled firms. Our finding provides corroborating evidence for principal–principal conflicts in emerging economies. It suggests that corporate strategy in these countries can be better explained by taking into account the unique agency problems that are prevalent in these economies.     

Unemployment or credit: Which one holds the potential? Results for a small open economy with a low degree of financialization

This paper investigates the relative importance of unemployment versus credit in determining the potential level of real activity for a small open economy with a low degree of financialization. We use a multivariate unobserved component model (MUC) to derive the potential output and the associated output gap for the Lithuanian economy. The model is estimated via Bayesian methods and the time paths of unobserved variables are extracted via the Kalman filter. The inclusion of unemployment in the MUC model substantially improves the estimates of the output gap in real time. Adding information about credit further emphasizes the overheating of the economy in the pre-crisis period, both in real time and ex post. Including credit preserves the conclusions regarding turning points. We uncover a strong negative correlation between the model-implied unemployment gap (without accounting for credit) and real credit growth. Data revisions do not appear to be the primary source of revisions of output gap estimates.     

A global analysis of factors impacting the intensive and extensive margins of bilateral foreign direct investment

This study investigates determinants of bilateral foreign direct investment (FDI) on both margins, the extensive margin (whether to invest) and the intensive margin (how much to invest), based on the recent structural gravity model for FDI developed by Anderson et al. (Trade and investment in the global economy. National Bureau of Economic Research, Cambridge, MA, 2017). I examine a global data set comprised of 110 countries over 9 years, 2004–12. Apart from conventional gravity variables, the source country's technology capital shows a significant and positive impact on both FDI margins. Bilateral investment treaties play a significant role only in determining the extensive margin. Results on FDI stocks and FDI flows can lead to different conclusions; thus, research should consult both types of data series to find which variables have robust effects. Furthermore, breaking down the sample by country development levels reveals that FDI from less‐developed countries (LDCs) is not affected by many common variables, and thus, there is a need to develop more theories and empirical work to investigate the FDI from LDCs in particular.     

Team innovation in retail services: the role of ambidextrous leadership and team learning

Service Business - Drawing upon the ambidextrous leadership theory for innovation, this study investigates the role of opening and closing leadership behaviors in both exploratory and exploitative...     

DATA GAPS,DATA INCOMPARABILITY,AND DATA IMPUTATION: A REVIEW OF POVERTY MEASUREMENT METHODS FOR DATA‐SCARCE ENVIRONMENTS

Questions that often come up in contexts where household consumption data are unavailable or missing include: what are the best existing methods to obtain poverty estimates at a single snapshot in time? and over time? and what are the best available methods to study poverty dynamics? A variety of different techniques have been developed to tackle these questions, but unfortunately, they are presented in different forms and lack unified terminology. We offer a review of poverty imputation methods that address contexts ranging from completely missing and partially missing consumption data in cross‐sectional household surveys, to missing panel household data. We present the various existing methods under a common framework, with pedagogical discussion on their intuition. Empirical illustrations are provided using several rounds of household survey data from Vietnam. Furthermore, we also offer a practical guide with detailed instructions on computer programs that can be used to implement the reviewed techniques.