Circular economy and the policy: A framework for improving the corporate environmental management in supply chains

The transition to the circular economy (CE) creates value through the closed-loop systems, reverse logistics, product life cycle management, and clean production in terms of corporate environmental management. During this transition process, the organization faces many barriers such as financial, organizational, technology-based, social, policy-related, market-based, and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further, this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings, lack of legislation for efficient CE (C4), lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17), and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers, respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor, whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards, improving communication among stakeholders, the government's perception of CE and current linear economy, cooperation with nongovernmental organization (NGOs) and civil actions, the vision of government towards circular principles, the circular public procurement, the local governments in circular policymaking, and awareness of bureaucracy and government officials.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Workplace deviance and human resource management relations: A case study of Turkish hotel employees

The main purpose of this study is to examine the negative associations between employees' perception of the effectiveness of performance appraisal practices and deviant workplace behavior. This study also tests the mediating effect of the forms of organizational justice in the relationship between performance appraisal practices and deviant workplace behavior. Moreover, it also investigates how line managers' performance appraisal politics may influence the relationship between perceptions of performance appraisal practices and employee deviant workplace behavior. In order to facilitate this study, the research team employed a survey design. A total of 193 service employees from different service establishments attended the forum where the study was conducted in the capital city of Turkey, Ankara. The results of this study strongly support the premise that effective performance appraisal practices influence employee deviance behavior, and especially that interactional justice is an important predictor of employee violative behavior. Moreover, the findings indicate that there is no evidence regarding the moderating effect of employees' perception of managers' appraisal politics in the negative relationship between performance appraisal effectiveness and employee deviance.     

Has New Zealand benefited from its investments in research & development?

We use panel data for nine industries to evaluate research and development (R&D) investments in New Zealand over the past forty years. We estimate the impact of R&D stocks in a particular industry on output per person in that industry and on output per person in the rest of the economy. We examine both public and private R&D investments. Privately provided R&D has a statistically significant positive impact on own-industry output per person, suggesting it increases productivity. However, publicly provided R&D has no impact on own-industry output per person. There is also evidence that private R&D in certain industries positively affects output per person in the rest of the economy, i.e. it generates positive spillovers. There is no evidence of positive spillovers from publicly provided R&D.     

The role of unemployment in wage determination: further evidence on the wage curve from Turkey

This paper presents an empirical estimation of the correlation between wages and regional unemployment rates in Turkey, more specifically it explores the role of regional unemployment rates in wage determination. The analysis builds upon a series of recent empirical studies on the wage-unemployment relationship, now commonly known as ‘the wage curve’, a downward sloping curve in wage-unemployment space. The existing studies are for most part in advanced market economies, while this paper presents one of the few attempts at a wage curve analysis within the context of a developing market economy. A cross-sectional estimation of micro level individual wage data for the Turkish labour market in 1994, suggest a statistically significant negative correlation between wages and regional unemployment rates. Separate regressions for men and women, however, show a wage curve to exist only in the male labour market. The study also presents the results on other variables of wage determination such as returns to schooling, returns to age, job tenure, gender, industrial and occupational affiliation of the worker, economic sector and union status.     

Vertical Integration and Internet Strategies in the Apparel Industry

We explore the relationship between vertical scope and the ability to respond to a significant economic shock by studying how firms in the apparel industry have adapted to the Internet. We find that vertically integrated specialty retailers, e.g., The Gap, tended to start on-line sales sooner than non-integrated vendors, e.g., Nautica, and department stores. We also find that the products of vertically integrated retailers are more available on-line than those of non-integrated vendors. These results are consistent with greater contractual barriers, coordination costs and incentive problems that non-integrated brands face relative to integrated companies in responding to the e-commerce opportunity.     

Cost-effectiveness analysis of second-line tyrosine kinase inhibitor treatment for chronic myelogenous leukemia

Aim:

A cost-effectiveness analysis was performed for sequential treatments of chronic myelogenous leukemia (CML) with tyrosine kinase inhibitors (TKIs) after failure of 1st line imatinib, from a commercial payer perspective in the US.

Methods:

A Markov model was developed to simulate lifetime treatment costs and health outcomes for TKI sequences for treatment of patients resistant or intolerant to 1st-line imatinib. Five health states were included, chronic phase 2nd-line TKI, chronic phase 3rd-line TKI, chronic phase post-TKI, advanced phases, and death. Efficacy (response achievement, loss of response, transformation, death) and safety (adverse events incidence, discontinuation) data are based on clinical trials. Resource utilization, costs, and utilities were based on product labels and publically available data. Uncertainty analyses were conducted for key inputs.

Results:

In patients failing imatinib, dasatinib-initiating treatment sequences provide the most survival (ΔLYs?=?0.2–2.0), QALYs (ΔQALYs?=?0.2–1.9), and accrue highest CML-related costs (ΔCosts?=?$64,000–$222,000). The average ICER per QALY for dasatinib- vs imatinib-initiating sequences is $100,000 for an imatinib-resistant population. The average ICER per QALY for dasatinib- vs nilotinib-initiating sequences is $170,000 for an imatinib-resistant population, and $160,000 for an imatinib-intolerant population.

Conclusions:

This analysis suggests that dasatinib is associated with increased survival and quality of life compared to high dose imatinib and to a smaller extent with nilotinib, among patients resistant or intolerant to 1st-line imatinib, primarily based on higher cytogenetic response rates observed in clinical studies of dasatinib. Head-to-head studies of sequential use of dasatinib and nilotinib are needed to validate the model findings of improved survival (LYs) with better quality-of-life (QALYs) for patients initiating dasatinib in 2nd-line. However, the model findings (in light of higher cytogenetic response rates with dasatinib) are supported by other studies showing improved quality-of-life for responders, and improved survival for patients achieving cytogenetic response.     

U.S. Dairy Policy and the Agreement on Agriculture in the WTO: Discussion

The views and conclusions expressed in this discussion are those of the author and not those of his institution.