Adding Value to Applied Policy Models： The Case of the WTO and OECD Support Classification Systems

Both the OECD and the WTO have accumulated systematic data on the magnitude of support going to farmers as a result of farm policies. The datasets are collected for different purposes, but both give a detailed picture of the evolution of these policies. This paper extends recent work on the compatibility or otherwise of the two attempts at policy monitoring by considering the categorization of individual policy instruments in Norway, Switzerland, the US, and the EU. The results show how the OECD dataset, particularly with respect to the link between direct payments and production requirements, complements that of the WTO. Many payments classified in the WTO Green Box require production, raising the possibility that they may distort production and trade. Though the issue of correct notifications to the WTO is the province of lawyers, the implications for modeling and policy analysis are of interest to economists, and the broader question of improving the consistency of the two datasets is of importance in the quest for transparency in the interpretation of changes in farm policies.     

A Qualitative Study for Measuring Warehouse Performance Using Triangulation Approach

This research aims to validate a structural equation modeling （SEM） model for measuring warehouse performance using data from an international company in Australia （company G）. Moreover, a methodological triangulation method was also adopted to test whether different methodological approaches produce convergent findings about warehouse performance measurement （WPM）. These three different methods are the SEM model, the multiple case research study, and validation of the SEM model using data from 80 companies in Thailand and a company in Australia. With the results from the triangulation method, it is obvious that the SEM model can be used to measure the performance of warehouses in Thailand and Australia. Since the SEM model consists only of significant indicators, it is more appropriate than company G＇s scorecard. Furthermore, the SEM model can overcome the limitations of traditional models by allowing companies to compare their performance over time.     

The effect of banking market structure on the lending channel: Evidence from emerging markets

This paper analyses the extent to which the level of bank competition influences monetary policy transmission. Using a large panel dataset of 978 banks from 55 countries, and employing the Lerner index model as a measure of market structure, our results show that an increase in banking sector competition weakens the effectiveness of monetary policy on bank lending. The findings are robust to a broad array of sensitivity checks including control of alternative measurements of the Lerner index, different samples and different methodological specifications. By extension, these results have important policy implications for regulators in assessing the effectiveness of monetary policy transmission mechanisms.     

Revisiting carbon disclosure and performance: Legitimacy and management views

With corporate disclosure of carbon emissions rapidly increasing, the long-standing question remains whether carbon disclosure has any influence on the improvement of carbon performance. Previous studies of environmental disclosure and performance have predominantly focused on whether disclosure is a substitute for poor performance. Little attention has been devoted to the more important question about how changes in disclosure may lead to subsequent changes in performance over time. Following the rationales taken by the legitimacy and management perspectives, we revisit the relationship between carbon disclosure and performance, with a focus on changes that disclosure may (or may not) create. Using a change analysis of Global 500 companies and their carbon emission and disclosure data released between 2008 and 2012, this study finds that the change in carbon disclosure levels is positively associated with a subsequent change in carbon performance (examined through direct and indirect carbon emission intensities). Thus, regardless of whether disclosure has been used as a legitimising tool for prior poor performance, this study confirms that carbon disclosure motivates companies and creates an ‘outside-in’ driven effect for subsequent change and improvement in carbon performance. However, the association between changes in carbon disclosure and performance is relatively weaker in high energy-intensive firms.     

Measuring the economic impacts of major sports events: the case of Formula One Grand Prix (F1)

This study was examined the new money generated from Formula One Grand Prix (F1) and the economic impacts of this new money on the host economy using input–output analysis. We find that the impact of the new money from non-local attendees or international attendees is more pronounced compared to that from local attendees. Also, F1 event appears to influence on sports-related industry as well as other industries such as manufacturing industry. Our findings suggest that the host cities should focus on increasing the non-local and international attendees in order to enhance the economic impacts of a sport event.     

企业价值评估贴现模型的比较分析

贴现模型是企业价值评估中应用较为普遍的模型,但在我国实践中使用贴现模型存在很多问题。本文利用自由现金流量贴现法、调整现值法、经济利润贴现法三种常用的方法,探讨贴现模型不同参数指标的原理、使用原则、使用条件及在我国实践中的适应性,希望讨论能够为企业价值评估实务提供指导和帮助。     

The signaling power of trade protection

This paper proposes an empirical analysis to provide new insight into the trade diversion effects of antidumping (AD) policy. Trade diversion is the shift in trade from named countries in an AD investigation to non-named countries. Previous studies have concluded that AD action causes a considerable drop in exports from named countries, however the extent to which trade is diverted to non-named countries is still an open debate. This paper examines to see whether AD action on named countries can have signaling effects on non-named countries. To examine the trade effects on non-named countries, a time series data at an 8-digit product level is constructed for all cases initiated between 1997 and 2003 in the European Union. The paper provides evidence that antidumping policy has signaling effects on non-named imports.     

The Significance of CSF Among Enterprises in Latvia： An In-depth Analysis

The present research paper is dedicated to the in-depth analysis of the significance of critical-to-success factors （CSF） among enterprises in Latvia. The goal is to distinguish and find key success factors of Latvian companies who survived the economic crisis, which started in 2008, and executed the enabling objectives of the paper. Research methodology involves the analysis of the existing theoretical literature, in-depth interviews with the top management representatives of large Latvian business entities were interviewed by GFK （Custom Research Baltic agency） on behalf of the authors of the paper. It is found out that 10 largest industries for the big companies are： fuel retail and wholesale, energetics, food retail and wholesale, chemical products, logistics, metal processing, financial services, information technologies service and production, passenger transportation, and telecommunication services. For medium companies such industries are： food retail and wholesale, logistics, fuel retail and wholesale, wood processing, automotive industry, construction, financial services, pharmaceutical products, metal processing, and beverage wholesale and production. The authors also scrutinised 72 articles of 38 Forbes magazine archiving from the years 2010-2014. Thirty CSF were defmed. The most significant CSF according to the Forbes interviews are specific market niche, export, technological innovations, and high quality of products and services. The in-depth interviews with the top management representatives prove the importance of the above mentioned factors. Relevant recommendations are provided in the end of the paper.     

财务软件操作中常见问题解析——以金蝶KIS标准版为例

结合教学实践，分析金蝶KIS标准版财务软件的主要功能模块——系统维护及系统初始化设置模块、账务处理模块以及工资管理、固定资产管理、出纳管理等存在的常见操作问题，便于广大初学者熟练掌握会计软件。     

Impact of Financial Development on the Environmental Quality in Iran

In recent decades, undesirable environmental changes, such as global warming and greenhouse gases emission, have raised worldwide concerns. In order to achieve higher growth rate, environmental problems emerged from economic activities have turned into a controversial issue. The aim of this study is to investigate the effect of financial development on environmental quality in Iran. For this purpose, the statistical data over the period from 1970 to 2011 were used. Also by using the Auto Regression Model Distributed Lag （ARDL）, short-term and long-term relationships among the variables of model were estimated and analyzed. The results show that financial development accelerates the degradation of the environment; however, the increase in trade openness reduces the damage to environment in Iran. Error correction coefficient shows that in each period, 53% of imbalances would be justified and will approach their long-run procedure. Structural stability tests show that the estimated coefficients were stable over the period.