A multivariate analysis of work–life balance outcomes from a large‐scale telework programme

A multivariate analysis identified six predictors to explain positive work–life balance (WLB) among 1,566 teleworkers. Time flexibility variables were found to be most dominant. Gender or having dependent children was not significant. These results demonstrated that controlling working hours was the most important ability for sampled teleworkers to achieve positive WLB.     

Cross‐country Relative Price Volatility: Effects of Market Structure*

Using annual data on nine manufacturing sectors of 18 OECD countries, the article studies the implications of market structure for cross‐country relative price variability. It is found that, in accordance with predictions from a standard markup pricing model, reductions in market competition, along with increased nominal exchange rate volatility, are associated with greater variability of cross‐country relative prices. The market structure also has similar effects on components of cross‐country relative price variability. The empirical findings are robust to the inclusion of various control variables and alternative sample specifications.     

Employee Stock Ownership Plans and Productivity in Japanese Manufacturing Firms

By using a large new enterprise-level data set, and evidence drawn from case studies, we show that Japanese employee stock ownership plans (ESOPs) are a pervasive and neglected institution. In 1988, more than 90% of all firms listed on Japanese stock markets had an ESOP, and close to 50% of the labour force in firms with ESOPs participated in the plan. Micro data and a production function framework are used to examine the effects on business performance of ESOPs. On average, the net effect of introducing an ESOP is to increase productivity by almost 7%.     

Quasi-option value under strategic interactions

We consider a simple two-period model of irreversible investment under strategic interactions between two players. In this setup, we show that the quasi-option value may cause some conceptual difficulties. In case of asymmetric information, decentralized investment decisions fail to induce first-best allocations. Therefore a regulator may not be able to exercise the option to delay the decision to develop. We also show that information-induced inefficiency may arise in a game situation and that under certain assumptions inefficiency can be eliminated by sending asymmetric information to the players, even when the regulator faces informational constraints. Our model is potentially applicable to various global environmental problems.     

Optimal age‐dependent income taxation in a dynamic extensive model: The case for negative participation tax on young people

We consider optimal age‐dependent income taxation in a dynamic model where the labor‐leisure choice is the extensive margin, each household faces idiosyncratic shocks to labor productivity and a pecuniary cost to work, and there is no insurance market against the shocks. We show that the well‐known property of the optimal participation tax rate in the static model continues to hold in our dynamic economy, that is, the participation tax rates for some income groups with low consumption are likely negative. In dynamic models, the optimal participation tax rate depends on age and on labor income. Our numerical simulations suggest that a negative participation tax should be restricted to young households.     

A review and comparison of medical expenditures models: two neural networks versus two‐part models

This paper compares the two‐part model (TPM) that distinguishes between users and non‐users of health care, with two neural networks (TNN) that distinguish users by frequency. In the model comparisons using data from the National Health Research Institute (NHRI) in Taiwan, we find strong evidence in favor of the neural networks approach. This paper shows that the individuals in the self‐organizing map (SOM) network clusters can be described as several different forms of frequency distributions. The integration model of SOM and back propagation network (BPN) proposed by this paper not only permits policymakers to easily include more risk adjusters besides the demographics in the traditional capitation formula through the adaptation and calculation power of neural networks, but also reduces the incentives for cream skimming by decreasing estimation biases.     

Sources of airline productivity from carbon emissions: an analysis of operational performance under good and bad outputs

This study incorporates carbon dioxide emissions in productivity measurement in the airline industry and examines the determinants of productivity change. For this purpose a two-stage analysis under joint production of good and bad outputs is employed to compare the operational performance of airlines. In the first stage, productivity index are derived using the Luenberger productivity indicator. In the second stage, productivity change scores derived therefrom are regressed using the random-effects Generalized Least Squares to quantify determinants of productivity change. The paper finds low cost carriers and average number of hours flown per aircraft having a positive impact on productivity under joint production model while demand variable negatively impacts on productivity under market model.     

Green Innovation and Finance in Asia

Green innovation and green finance are two key components of sustainable development. In the most populous, fastest‐growing region in the world, Asian countries are pressed to maintain economic growth while addressing climate change and environmental externalities. Japan, South Korea, and China have each implemented policies to promote green innovation and finance conducive to such ends. While each country possesses unique capabilities, the extent to which they can promote environmentally adjusted multifactor productivity growth, green patent registrations, green bond issuances, green foreign direct investment, and environmental, social, and governance information disclosures stands to impact on their shifts to sustainable growth paradigms.