Testing vertical price transmission for Vietnam's Robusta coffee

Vietnam has undergone market reforms over the last three decades; and as a consequence, the coffee sector has become increasingly market‐driven. The success of the government's liberalisation policies in terms of market efficiency is investigated by examining the transmission of both positive and negative price changes for Robusta coffee between export and farmgate prices. We used a threshold vector error correction model and high‐frequency daily data. The primary result here is that of a symmetric price transmission between export and farm‐level prices. This result holds when tested with weekly price data, derived from the daily data. Farmgate prices respond faster to decreases than increases in export prices when the long‐run deviation exceeds a certain threshold. These price changes are transmitted within several days. This research also confirms the importance of transaction costs, and other price frictions mostly ignored in prior analyses for coffee.     

Impact of knowledge oriented leadership on knowledge management behaviour through employee work attitudes

Abstract

Despite the acknowledged importance of knowledge management (KM), many employees avoid practicing KM at the individual level. This avoidance often leads to loss of the intellectual capital due to employee turnover. Many potential behavioural remedies are still untapped in the existing literature. This study extends the construct of knowledge oriented leadership (KOL) and examines its role in predicting KM behaviour among employees of the hospitality sector, at the individual level. It also investigates the mediating effect of employee work attitudes including affective commitment, creative self-efficacy and work engagement, by using partial least square for structure equation modelling. This study finds that KOL positively affects KM behaviour, affective commitment, creative self-efficacy and employee work engagement. Work attitudes (affective commitment, creative self-efficacy, work engagement) mediate the relationship of KOL and KM behaviour. Furthermore the direct positive effect of employee affective commitment, creative self-efficacy and work engagement on KM behaviour is also significant. This study contributes to the body of knowledge by extending the construct of KOL, and by investigating the connection between KOL, work attitudes, and KM behaviour among hospitality employees, at the individual level.     

Group Decision Support Using Fuzzy Cognitive Maps for Causal Reasoning

Cognitive maps have been used for analysing and aiding decision-making by investigating causal links among relevant domain concepts. A fuzzy cognitive map (FCM) is an extension of a cognitive map with the additional capability of representing feedback through weighted causal links. FCMs can be used as tools for both static as well as dynamic analysis of scenarios evolving with time. An FCM represents an expert's domain knowledge in a form that lends itself to relatively easy integration into a collective knowledge base for a group involved in a decision process. The resulting group FCM has the potential to serve as a useful tool in a group decision support environment. An appropriate methodology for the development and analysis of group FCMs is required. A framework for such a methodology consisting of the development and application phases is presented.     

Initial results of Pakistan's first road traffic injury surveillance project

Our aim is to report the findings of the initial three years of road traffic injuries (RTI) surveillance at Karachi and to compare it with previously published RTI-related data from Pakistan and other low-and middle-income countries. Data were collected through the RTI surveillance programme at Karachi (RTIRP) from the five biggest emergency departments of the city, which receive almost all the major emergencies of the city for the period September 2006 till September 2009. A total of 99,272 victims were enlisted by the RTIRP during the study period. Annual incidence of RTI is calculated to be 184.3 per 100,000 populations and mortality is 5.7 per 100,000 populations. Eighty nine per cent of victims are male and 73% are between 15 and 44 years of age. Commonest road user to be affected is riders of two wheelers (45%). Only 7% of affected motorcyclists were found to be wearing helmets at the time of the accident. Trends of injuries remained uniform over the years. Most frequent injuries were external wounds, followed by orthopaedic injuries. On the basis of our surveillance system, we have presented the largest RTI-related data from a metropolitan city of Pakistan to date.     

There's a New Silk Road,and It Doesn't Lead to the U.S.

As the U.S. emerges from the recession,American investors often wonder where the growth is going to come from.Perhaps they should talk to Ruben Bisi,international operations director for Mar-copolo,Brazil's     

The Impact of Audit Committee Characteristics on CSR Disclosure: An Analysis of Australian Firms

This study examines the influence of audit committee (AC) characteristics on voluntary corporate social responsibility (CSR) disclosure in the corporate annual reports of Australian listed firms. It develops hypotheses about the relationship between voluntary CSR disclosure and AC characteristics such as size, frequency of meetings, independence, independent chair, financial expertise and gender diversity. Using multiple regression analysis on data collected from the corporate annual reports of 300 listed firms, the study finds that AC characteristics such as size, frequency of meetings, committee independence and gender diversity have a significant positive influence on the level of CSR disclosure. However, there is no evidence that AC characteristics such as independent chair and members’ financial expertise affect CSR disclosure in Australian firms. Based on an additional analysis, the study also sheds some light on the effect of AC characteristics on environmental disclosure. The findings of this study may be of particular interest to regulators, shareholders, investment analysts and managers in assessing CSR disclosure in annual reports, and in strengthening the monitoring and oversight role of ACs.     

Globalisation and Gender Inequality: Evidence from Labour Market in India

This paper examines quantitative and qualitative dimensions of employment issues in India from gender lens. Inequality in quantitative aspects have been analysed gender gap in work participation, composition and structure of employment. The study finds that female work participation in India has declined sharply despite faster economic growth and improvement in female literacy outcomes. The magnitude of decline is sharper in case of illiterate, women from less privileged class and rural backgrounds. Similarly, even after two decades of economic reform, female workers are highly concentrated in low productive, less remunerative and unpaid family labour category of self employment activities. Considering the qualitative dimension of jobs, the paper finds that the condition of female workers are more vulnerable as they are highly concentrated in informal sector and informal jobs with no employment security, no social security, and are being paid relatively lower wages compared to male workers in most of the sub-sector. The paper argues for an urgent policy intervention to ensure access to decent jobs and to provide protection to these vulnerably placed women workers.

     

Book Review

This paper discusses partial approaches to trade liberalization, such as the Asia Pacific Economic Cooperation (APEC) group's Early Voluntary Sector Liberalization (EVSL) proposal and the "zero-for-zero" approach. Distortions to resource allocation and global markets that might result from partial liberalizations are discussed, and parallels drawn to the possible trade diversion impacts and welfare losses of regional liberalization and tariff escalation. A global Computable General Equilibrium (CGE) model is used to provide some numerical illustrations of the issues with respect to international trade in grains, oilseeds, and related processed products.     

Volatility forecasting in the Chinese commodity futures market with intraday data

Given the unique institutional regulations in the Chinese commodity futures market as well as the characteristics of the data it generates, we utilize contracts with three months to delivery, the most liquid contract series, to systematically explore volatility forecasting for aluminum, copper, fuel oil, and sugar at the daily and three intraday sampling frequencies. We adopt popular volatility models in the literature and assess the forecasts obtained via these models against alternative proxies for the true volatility. Our results suggest that the long memory property is an essential feature in the commodity futures volatility dynamics and that the ARFIMA model consistently produces the best forecasts or forecasts not inferior to the best in statistical terms.     

Analysing customers' reviews and ratings for online food deliveries: A text mining approach

The purpose of this study was to explore the relationship between online reviews and ratings through text mining and empirical techniques. An Indian food delivery portal ( Zomato.com ) was used, where 50 restaurants on Presence Across Nation (PAN) basis were selected through stratified random sampling. A total of 2530 reviews were collected, scrutinized, and analysed. Using the NVivo software for qualitative analysis, seven themes were identified from collected reviews, out of which, the ‘delivery’ theme was explored further for identifying sub-themes. Linear regression modelling was used to identify the variables affecting delivery ratings and sentiment analysis was also performed on the identified sub-themes. Regression results revealed that hygiene and pricing (delivery subthemes) demonstrated lower delivery ratings. These variables can be established as indicators for restaurants and related online food delivery services to build their business model around them. Similarly, negative sentiments were observed in pricing and hygiene sub-themes. Restaurants and online food services can enhance hygiene levels of their food delivery process in order to receive higher delivery ratings. Similarly, pricing of food items can be modified such that customers are not deterred from ordering the items—food and ordering service do not become cost-prohibitive. This study devised a standardized methodology for analysing vast amounts of online user-generated content (UGC). Findings from this study can be extrapolated to other sectors and service industries such as, tourism, cleaning, transportation, hospitals and engineering especially during the pandemic.