Setting operating policies for supply hubs

This paper deals with the joint management of operations at the supply hub for the customer and the upstream supplier. Different operating conditions are considered, namely, backordering, minimum and maximum specified inventory levels. Some analytical insights on better managing suppliers operating under a vendor managed inventory program are presented. Essentially, we show that the penalty cost imposed on over- and under-stocking, and the min–max policy for hub inventory reside in the power of the hub operator. The relationship between supply hub policy and performance measures is quite complex and non-linear in nature. We suggest a structured hierarchical approach which can help supply hub in achieving balance between various parties involved in chain. A numerical example and an algorithm are included to highlight this result.     

Why do firms delete brands? Insights from a qualitative study

Large consumer goods firms manage and market an assortment of brands and consistently deal with strategic challenges related to brand portfolio management, such as creating or acquiring brands, growing brand equity, managing brands in the portfolio and deleting brands. There is substantial research on several areas of brand portfolio management except in the area of brand deletion. This situation exists despite the fact that deleting weak brands has important implications for a firm and its brand portfolio. Therefore, it is critical to understand why firms delete brands from their portfolios. This research applies a qualitative approach using semi-structured interviews and thematic analysis in the context of firms that adopt a ‘house of brands’ brand architecture and presents findings guided by the strategic decision-making literature.     

Enhancing Corporate Environmental Performance Through Reporting and Roadmaps

Managing the carbon footprint of companies and addressing their respective decarbonization plans is a challenging endeavour. The aim of this study is to help companies better understand the issues around decarbonization and environmental performance by suggesting a holistic management process on which they could embark. This process comprises two crucial steps, which are (a) sustainability reporting and (b) low‐carbon roadmaps. These steps are covered and further developed based on a detailed study of the UK food retail sector. This sector is relevant due to its economic and environmental importance, but most importantly it has a significant record of available environmental reports in the public domain and a large potential to influence consumers, policy makers and multiple supply chains. Sustainability reporting is assessed by analysing environmental KPIs disclosed in corporate social responsibility (CSR) reports, and then these are compared against industry standards. This analysis highlights a general lack of consistency and transparency in CSR reporting of UK food retailers. Consequently, a low‐carbon roadmap based on relevant KPIs and on the ‘backcasting’ framework is presented as a case study in order to showcase how a hypothetical UK food retailer can employ a low‐carbon roadmap. The case study demonstrates that ambitious environmental targets are achievable if robust corporate action plans are followed. Furthermore, the case study indicates that capital might be misallocated in favour of highly visible environmental stores and on‐site energy generation technologies, whilst more could be done by applying energy efficiency measures that have the potential to deliver substantial carbon savings. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Internal green integration and environmental performance: The predictive power of proactive environmental strategy,greening the supplier,and environmental collaboration with the supplier

The effect of proactive environmental strategies (PES) on corporate performance has been debated extensively among academics; however, the significance of the pathway of those strategies—internal green integration (IGI) through greening the supplier (GTS) and environmental collaboration with suppliers (ECS)—remains undecided. This study examines environmental performance (EP) through GTS, IGI, and ECS. It also examines the direct link between PES and IGI. A conceptual framework was designed following a rigorous review of the literature. A survey questionnaire was used to collect cross-sectional data from a random sample of manufacturing firms, obtaining 196 usable samples. Using AMOS, the structural equal modeling found a positive and significant impact of PES on IGI. Significant predictors of EP were GTS, IGI, and ECS. The findings of the study can provide managers with guidelines for dealing with business and environmental concerns. They can also contribute to creating strategies for environmental protection and management and reducing adverse effects on the environment. Finally, by examining the direct links between GTS, ECS, and EP, particularly in a developing context, the study may contribute to the literature of environmental policy.     

Determinants and Forecast of Price Level in India: a VAR Framework

The theoretical association of money supply and exchange rates with prices has been empirically established and shown to be dominant in explaining changes in price levels in India. However, post liberalisation, studies have shown price levels to be impacted by several other factors as also, weakened influence of the traditional factors established by theories. This study aims to find the determinants of price level for the period 1994–2008 using a Vector Autoregression model and test the predictive ability of the model. Our results show shorter and smaller impact of change in money supply and nominal effective exchange rate on price levels. Both money supply and nominal effective exchange rates are found to Granger-cause Consumer Price Index. But, impulse response functions show that the impact of shocks from money supply and nominal effective exchange rates on consumer prices peaks after two lags and is short-lived. Forecast error variance decomposition shows that these demand side factors contribute only 6 % of the forecast error variation in Consumer Price Index.

     

ESTIMATING SPATIAL CONSUMER PRICE INDICES THROUGH ENGEL CURVE ANALYSIS

In this paper we propose a method of estimating spatial multilateral price index numbers from cross‐section consumer expenditure data on different items using Engel curve analysis. The novelty of the procedure is that it overcomes the problem of data inadequacy, a problem that is shared by most of the developing countries. The procedure does not require item‐specific price/unit value data and price index numbers can be calculated from consumer expenditure data grouped by per capita income/total consumer expenditure class in a situation where unit level data are not available. To illustrate the method, we use published state‐specific data of the 50th round (1993–94) and 55th round (1999–2000) consumer expenditure surveys of India's National Sample Survey Organization (NSSO) and calculate the spatial consumer price index numbers for 15 major states of India, with All‐India taken as base, separately for the rural and the urban sector for each round.     

DEMAND THRESHOLD,ZERO EXPENDITURE AND HIERARCHICAL MODEL OF CONSUMER DEMAND

Consumer expenditure surveys often show households reporting zero consumption of some commodities. Three reasons for this are recognized in the literature: (i) infrequency of purchase, (ii) a strong brand preference for differentiated products and (iii) misreporting. However, sometimes the number of households reporting zero consumption is seen to decline with income. To capture this phenomenon, which does not fall into any of the categories mentioned above, we propose a hierarchical preference structure and identify a class of recursive utility functions representing this structure. An empirical illustration based on Indian consumer expenditure data is provided.     

Taxes and production: The case of Pakistan

This paper investigates the effectiveness of investment incentives and corporate income taxes in influencing production and investment decisions in the Pakistani wearing apparel and leather products industries. Three tax instruments are considered: the corporate income tax (CIT), the investment tax credit (ITC), and the capital cost allowance (CCA).The results show that since there are significant capital adjustment costs, it is important to distinguish between the short, intermediate, and long-run effects associated with the tax instruments. Production decisions are relatively more responsive to changes in the ITC rate compared to changes in either CCA or CIT rates in each run. However, only in the long run for the apparel industry are the ITC and CCA rates cost effective in stimulating investment. The CIT is never cost effective. Thus targeted instruments outperform the general CIT instrument. In addition, although the incentive to invest is enhanced, there is little effect on output. Therefore, tax incentives essentially make production techniques more capital intensive.