Measuring agri-food supply chain performance and risk through a new analytical framework: a case study of New Zealand dairy

Abstract

Many researchers and practitioners have long recognized the significance of measuring performance. Although general guidelines for measuring business performance are widely available, no appropriate measurement frameworks have been developed for measuring agri-food supply chain performance. Particularly, food quality and risk-related indicators have not been well integrated into existing performance measurement systems. Our research, therefore, addresses this knowledge gap by first providing an in-depth review of extant performance measurement systems and frameworks. It then develops an analytical framework by extending the Supply Chain Operations Reference (SCOR) model which has been extensively implemented across non-food industries. The analytical framework is further validated by utilizing a case study of 50 farmers and 10 dairy companies, operating in the New Zealand dairy industry.

Our pilot testing and subsequent findings show that the individual metrics interlocked with the analytical framework are in-line with the key industrial practices adapted by the New Zealand dairy industry. In addition, the framework is flexible and scalable to evaluate and benchmark other agri-food supply chains – ranging from fresh products such as fruits and vegetables to processed foods such as canned fruits. The findings further show that the detailed information required for measuring the level-3 SCOR metrics is not easily available in the industry, as researchers need to access specific company records that may be confidential. Consequently, this study provides how agri-food supply chain managers can employ our new analytical framework in-conjunction with the SCOR model for a deeper understanding of the complicated performance measurement indicators applied in their agri-food production systems and relevant supply chains.     

Generalized estimator for the estimation of rare and clustered population variance in adaptive cluster sampling

Adaptive cluster sampling (ACS) is considered to be the most suitable sampling design for the estimation of rare, hidden, clustered and hard-to-reach population units. The main characteristic of this design is that it may select more meaningful samples and provide more efficient estimates for the field investigator as compare to the other conventional sampling designs. In this paper, we proposed a generalized estimator with a single auxiliary variable for the estimation of rare, hidden and highly clustered population variance under ACS design. The expressions of approximate bias and mean square error are derived and the efficiency comparisons have been made with other existing estimators. A numerical study is carried out on a real population of aquatic birds together with an artificial population generated by Poisson cluster process. Related results of numerical study show that the proposed generalized variance estimator is able to provide considerably better results over the competing estimators.     

Nexus Between Globalization,Income Inequality and Human Development in Indonesian Economy: Evidence from Application of Partial and Multiple Wavelet Coherence

Social Indicators Research - This paper aims at understanding the vigorous connection between globalization, income inequality and human development in Indonesian economy. This study employs...     

A mixed control chart for monitoring failure times under accelerated hybrid censoring

In an accelerated hybrid censoring scheme several stress factors can be accelerated to make the products to respond to fail more quickly than under normal operating conditions. In such situations, the control charts available in the literature cover the attribute characteristics only to monitor the performance of the process over time. This study extends the idea by proposing an optimal mixed attribute-variable control chart for Weibull distribution under an accelerated hybrid censoring scheme keeping the advantages of both attribute and variable control charts. It first monitors the number of defectives under accelerated conditions and switches to the variable control chart to investigate the mean failure times when the process stability is dubious. The performance of the proposed chart is evaluated by using run-length characteristics, and the optimality of the design parameter is achieved by minimizing the out-of-control average run length. The simulation study depicted better performance of the proposed control chart than the traditional charts in detecting shifts in the process. A real-life application is also included.KEYWORDS: Mixed control chart, attribute chart, variable chart, Weibull distribution, accelerated hybrid censoring     

The potential role of social and familial networks in shaping the well-being of children in shelters for women survivors of intimate partner violence

Children living in households where severe intimate partner violence (IPV) exists sometimes move with their mothers to shelters for battered women. Although there is an increased interest in research exploring children's exposure to IPV, little is known about children's subjective experiences during their stay in shelters. The present study examines children's views of their disconnection from their social and familial networks during their stay in a shelter. Using qualitative methods, 32 children, ages 7–12 years, who resided in a shelter were interviewed. Thematic analysis was implemented to develop codes and themes. The following five themes emerged from the data analysis: (a) absence of grandparents, (b) worry about older siblings, (c) disconnection from the neighbourhood, (d) missing their house and (e) disconnection from previous school and classmates. Findings suggest that children's disconnection from previous formal and informal networks significantly affected their well-being. The findings are discussed and interpreted in light of selected key concepts of Bronfenbrenner's bioecological model. The limitations of this study are discussed, along with implications for future research, as well as highlights for future intervention.     

A MONTE CARLO COMPARISON OF ELLIPTICAL-THEORY AND OTHER TESTS FOR EQUALITY OF COVARIANCE MATRICES

A Monte Carlo study of the size and power of tests of equality of two covariance matrices is carried out. Tests based upon normality assumptions, elliptical distribution assumptions as well as distribution-free tests are compared. Samples are generated from normal, elliptical and non-elliptical populations. The elliptical-theory tests, in particular, have poor size properties for both elliptical distributions with moderate sample sizes and for non-elliptical distributions.     

Asymmetric impact of inflation and unemployment on poverty in Pakistan: new evidence from asymmetric ARDL cointegration

The current study is intended to examine the asymmetric impact of inflation and unemployment on the poverty of Pakistan over the period of 1970 to 2016 by applying asymmetric Autoregressive Distributed Lag (ARDL) cointegration approach. The results revealed the presence of long-run asymmetries among inflation, unemployment and poverty. These findings also confirmed the atypical reaction of poverty to negative and positive shocks in unemployment and inflation. Furthermore, findings also confirmed negative and significant association among health expenditures (HE), population growth and poverty. The findings of the study have relevant implications for policymakers interested in the asymmetric relationship among inflation, unemployment and poverty in Pakistan.     

Trade Liberalization and Child Labor: A Case Study of Pakistan

The boom in industrial sector has lead to many problems and child labor is no exception. This study explores the linkages between trade liberalization and child labor both in short and long-run. The results suggest that GDP per capita and income inequality increase the child labor in the long-run but these results disappear in short-run. The study also finds that income inequality has positive and significant impact on child labor. Our findings also support that trade openness along with trade sanctions (imposed by the developed countries) are associated with the reduction in child labor in Pakistan.