An Integrative Framework for Measuring the Extent to which Organizational Variables Influence the Success of Process Improvement Programmes

abstract    Studies on the three types of process improvement programmes (Continuous Improvement, Reengineering and Benchmarking) have appeared many times in the literature. These studies suggest that certain organizational variables act as enablers and their presence or absence can significantly influence success rates. Such studies have tended to examine companies where a single programme has been implemented. In contrast, this paper examines a sample of companies who have experienced all three programmes. Our aim is to compare and contrast each programme's impact on firm performance and identify which organizational variables are common and which are programme-specific enablers of success. We build and test an integrative framework to support our analysis. Our study found that: (1) Reengineering delivered the greatest impact on performance; (2) executive commitment was needed to make this happen; (3) strategic alignment was the major influence on the success rate of Reengineering and Continuous Improvement programmes; and (4) employee empowerment was necessary for each programme to work effectively.     

Nonlinearities and heterogeneity in environmental quality: An empirical analysis of deforestation

We use a panel data set of 59 developing countries over the 1972–1994 period to study the deforestation process. Relying on both parametric and semiparametric models, we examine nonlinearities and heterogeneity in the deforestation process. We first study the existence of an Environmental Kuznets Curve (EKC) and then analyze determinants of deforestation. Our data sample provides no evidence of an EKC. We also find that political institution failures may worsen the deforestation process in developing countries.     

Distribution Dynamics of CO<Subscript>2</Subscript> Emissions

This paper uses nonparametric methods to examine the convergence in CO₂ emissions per capita on a sample of 100 countries for the period 1966–1996. Industrial countries show a convergence pattern. However, there is little evidence of convergence for the whole sample.     

The Underpricing and Excess Returns of Initial Public Offerings in Taiwan Based on Noisy Trading: A Stochastic Frontier Model

Initial public offerings (IPOs) are typically offered at prices lower than the transaction price in the early aftermarket. With a stochastic frontier model, we measured the fair offer price of an IPO and then the deliberate IPO underpricing and the market misvaluation based on the estimated fair offer price. Our results show that IPOs are deliberately underpriced. The extent of noisy trading leading to significantly higher market transaction prices explains the excess IPO returns. We conclude that initial IPO returns result primarily from the noisy trading activities instead of the deliberate IPO underpricing.     

Valuation of vulnerable American options with correlated credit risk

This article evaluates vulnerable American options based on the two-point Geske and Johnson method. In accordance with the Martingale approach, we provide analytical pricing formulas for European and multi-exercisable options under risk-neutral measures. Employing Richardson’s extrapolation gets the values of vulnerable American options. To demonstrate the accuracy of our proposed method, we use numerical examples to compare the values of vulnerable American options from our proposed method with the benchmark values from the least-square Monte Carlo simulation method. We also perform sensitivity analyses for vulnerable American options and show how the prices of vulnerable American options vary with the correlation between the underlying assets and the option writer’s assets.      

How Banks' Value-at-Risk Disclosures Predict their Total and Priced Risk: Effects of Bank Technical Sophistication and Learning over Time

Using a sample of eight large commercial banks from 1994 to 2000, Jorion (2002) finds that banks' VaR disclosures for their trading portfolios predict trading income variability. We extend Jorion's findings using a larger sample of 17 banks from 1997 to 2002 reporting trading VaRs under FRR No. 48 (1997). We find that banks' trading VaRs have predictive power for trading income variability that increases with bank technical sophistication and over time. We find that banks' trading VaRs have predictive power for a bank-wide measure of total risk, return variability, and for two bank-wide measures of priced risk, beta and realized returns.     

Clawbacks,Holdbacks, and CEO Contracting

“Clawbacks” are much discussed in the context of senior executive compensation, yet the discussion has largely ignored the presence of holdbacks that are already in place in many firms. Holdbacks are deferred compensation that is potentially foregone in the event that the CEO leaves the firm without good reason or they are dismissed for wrong‐doing. They are explicit or written features of a CEOs employment contract. Holdbacks are already in use at 70% of S&P 500 firms and average $18.4 million each. Firms with higher CEO replacement costs, greater information asymmetry, a recent bad experience (fraud, lawsuit, or restatement), or in more certain environments are more likely to have a holdback. In contrast, clawback adoptions are mainly driven by firms' bad experiences and external pressure from shareholders. Holdbacks and incentive‐based compensation are substitutes, as termination incentives can reduce the need for incentive compensation. As managers reasonably demand a premium for accepting risky compensation, a measure of abnormal compensation is positively associated with holdbacks, but there is no significant association between clawbacks and holdbacks. These findings suggest that the holdbacks many firms already have in place could help an “ex‐post settling up” in the event of financial misconduct, or even simply misstated financials. As companies have more control over the amounts held back ex‐ante, holdbacks are potentially more efficient.     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.     

Housing Preferences of Temporary Migrants in Urban China in the wake of Gradual Hukou Reform: A Case Study of Shenzhen

In the wake of the recent announcement by the State Council concerning the provision of public rental housing across China, and the gradual reform of China's household registration system (hukou), this article explores how potential adjustments in government housing policies (namely access to public rental housing) influence the housing preferences of temporary migrants who are currently residing inside the chengzhongcun (urban villages) of Shenzhen. The results indicate that dissatisfaction with rental cost and living conditions in these urban villages are the key reasons for migrants wishing to move into public rental housing if it is offered to them — and not the fact that they are treated differently within the hukou system. Public rental housing is welcomed in particular by newly arriving migrants who live outside the Shenzhen Special Economic Zone (SEZ), and migrants who have decided to remain in Shenzhen for the foreseeable future. By contrast, dissatisfaction with urban villages is the sole contributor to housing preferences for those residing inside the SEZ.