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Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were deployed for such endeavors, with Stochastic Frontier Analysis (SFA) models dominating the econometric literature. Among the most popular variants of SFA are Aigner, Lovell, and Schmidt (1977), which launched the literature, and Kumbhakar, Ghosh, and McGuckin (1991), which pioneered the branch taking account of the (in)efficiency term via the so-called environmental variables or determinants of inefficiency. Focusing on these two prominent approaches in SFA, the goal of this chapter is to try to understand the production inefficiency of public hospitals in Queensland. While doing so, a recognized yet often overlooked phenomenon emerges where possible dramatic differences (and consequently very different policy implications) can be derived from different models, even within one paradigm of SFA models. This emphasizes the importance of exploring many alternative models, and scrutinizing their assumptions, before drawing policy implications, especially when such implications may substantially affect people’s lives, as is the case in the hospital sector.

The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

The purpose of this study was to identify and determine the best fit model of triple bottom line (TBL) performance. Particularly, it delved into the interrelationships among variables which include sustainable management practices, strategic orientation and organizational culture on TBL performance. This study employed descriptive-correlation technique using Structural Equation Modeling. Data were sourced by administering survey questionnaires to 400 individuals performing key functions among large manufacturing companies operating in Region XII, Philippines. Results displayed that sustainable management practices, strategic orientation and organizational culture positively and significantly correlated with TBL performance. Structural Model 4, which depicted the direct causal relationships of sustainable management practices and organizational culture to TBL performance of large manufacturing companies, satisfied all the indices used and was found to be the best fit model. Finally, this study adds value to a growing body of literature viewing TBL through the lens of corporate sustainability.

The traditional predictor of technical inefficiency proposed by Jondrow, Lovell, Materov, and Schmidt (1982) is a conditional expectation. This chapter explores whether, and by how much, the predictor can be improved by using auxiliary information in the conditioning set. It considers two types of stochastic frontier models. The first type is a panel data model where composed errors from past and future time periods contain information about contemporaneous technical inefficiency. The second type is when the stochastic frontier model is augmented by input ratio equations in which allocative inefficiency is correlated with technical inefficiency. Compared to the standard kernel-smoothing estimator, a newer estimator based on a local linear random forest helps mitigate the curse of dimensionality when the conditioning set is large. Besides numerous simulations, there is an illustrative empirical example.

Many manufacturing firms (e.g. Apple and Nike) now outsource some or all of their manufacturing activities to independent suppliers rather than continuing to undertake them in-house. Clearly these firms perceive this externalisation of production to be a performance-enhancing strategy, but what are the performance consequences in practice? In this chapter, we review and critique the extant academic literature on the performance consequences of manufacturing outsourcing, and note that the empirical findings have yielded mixed results. We argue that outsourcing has potential impacts upon a number of ‘performance’ outcomes, including inter alia financial performance, productivity/efficiency, sales/market share, costs of production, business performance and innovation. We further argue that many of the empirical studies have flawed designs, and make a series of methodological recommendations to guide future empirical work.

In face of global deinstitutionalization policy, some aging parents find themselves confronting violence and crime in the family due to abusive behavior from their adult child with mental disorder. The aim of this paper is to explore and understand the meaning given by aging parents to this deviant behavior and the different ways in which they cope with a lifetime in the shadow of violence.

Data collection was performed through in-depth semi-structured interviews with 16 parents, followed by content analysis.

Three themes that expressed the meaning attributed to life with ACMD in the shadow of violence: (1) constructing parental identity in a shared reality of violence, (2) social and family networks as a resource in coping with ACMD, and (3) keeping a daily life routine as an anchor in a vulnerable, abusive relationship

Intervention with such families should focus on the life review process as a therapeutic tool. Interventions should also provide a “safety belt,” including health services, public social networks, and knowledge regarding their right for self-protection.

Old age becomes an arena for redefined relationships combining increased vulnerability, needs of both sides, and its impact on the well-being of the ageing parents. This calls for better insights and deeper understanding in regard to intervention with such families.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.