A Conjoint/Logit Analysis of Consumers’ Responses to Genetically Modified Tofu in Taiwan

We use data collected from a consumer survey of face‐to‐face interviews to determine consumer demand for genetically modified (GM) tofu attributes in Taiwan. Conjoint analysis using logit models reveals that, on average, brand is the most important attribute in terms of influence on consumers’ preferences, followed by price, with GM content having the least influence. However, the analysis also reveals three distinct market segments for tofu. Apart from the largest segment (which reflects the average lack of concern about GM food), the remaining two segments are split according to their preference or antipathy towards GM tofu. This result suggests that GM labelling is helpful to Taiwanese tofu consumers.     

太行山区耕地整理适宜性评价及障碍因子诊断——以河北省涞源县为例

[目的]耕地整理适宜性评价是土地整治规划的基础,可以为划定耕地整理重点区域、确定耕地整理项目和整理时序提供依据。[方法]文章以位于太行山区的涞源县为研究区域,以现状耕地图斑为评价单元,经独立性分析后选取地形坡度、表层土壤质地、灌溉保证率、耕地系数、与道路距离、与城镇中心距离、地质灾害易发性7个评价指标,运用贝叶斯概率模型计算各指标权重及未整理耕地的整理后验概率,并得到研究区未整理耕地的适宜性空间分布。同时根据改进的障碍因子诊断模型,分析了各适宜整理区的障碍因子并提出相应的整理措施。[结果](1)在影响涞源县耕地整理的各因素中,影响程度从小到大依次是表层土壤质地、与城镇中心距离、耕地系数、地形坡度、与道路距离、地质灾害易发性和灌溉保证率;(2)在涞源县未整理耕地中,高适宜整理区与较适宜整理区占未整理耕地的20.79%,可作为涞源县下一步耕地整理的选择;(3)制约涞源县全域耕地质量的障碍因子是灌溉保证率,整理过程中应根据实际情况科学寻找灌溉水源、结合地形条件采用蓄、引、提相结合的方式合理布设农田水利设施,提高水资源利用率。[结论]该文可为太行山区更科学合理地开展耕地整理项目提供依据。     

水库库区运营管理政策满意度的空间异质性分析

针对水库库区政策体系因自然资源禀赋差异性导致的政策满意度异质问题,引入顾客满意度理论,基于结构方程模型,构建了异质资源禀赋下库区居民政策感知的结构方程模型,揭示水库库区政策满意度空间分异特征,提出异质资源禀赋下水库库区政策制定的对策建议。并以浯溪口水库为例,应用本文研究框架,探究库区居民政策感知偏好的空间分异特征。     

Impacts of Market Reform on Spatial Volatility of Maize Prices in Tanzania

Maize is one of the major staples and cash crops for many Tanzanians. Excessive volatility of maize prices destabilises farm income in maize‐growing regions and is likely to jeopardise nutrition and investment in many poor rural communities. This study investigates whether market reform policies in Tanzania have increased the volatility of maize prices, and identifies regional characteristics that can be attributed to the spatial price volatility. To achieve the objectives, an autoregressive conditional heteroskedasticity in mean (ARCH‐M) model is developed and estimated in this study. Results show that the reforms have increased farm‐gate prices and overall price volatility. Maize prices are lower in surplus and less developed regions than those in deficit and developed regions. Results also show that the developed and maize‐deficit regions, and regions bordering other countries have experienced less volatile prices than less developed, maize‐surplus and non‐bordering regions. Our findings indicate that investments in communication and transportation infrastructures from government and donor countries are likely to increase inter‐regional and international trade, thereby reducing the spatial price volatility in Tanzanian maize prices in the long run.     

金融工具会计准则变更 对银行业及金融统计的影响

新金融工具会计准则对金融资产分类和计量、减值和套期三大板块进行了全面修 订。其中金融资产减值是银行实施新准则面临的最大难点。新准则可能导致部分银行资产减值 准备上升、净利润波动性增加;银行资本充足率可能下降,但资产定价所受影响有限;新准则对 银行资产结构配置的影响尚难评估。应密切关注商业银行新会计准则实施最新进展和下一步举 措,及早评估新准则实施可能带来的多方面影响,并相应调整金融统计制度。     

Measuring the development impact of a proposed transportation system

This paper introduces a methodology of measuring economic development impact incident to a proposed transportation system and provides an empirical result of such estimation. As the methodology, a Multi-Regional Variable Input-Output (MRVIO) model is introduced, and as a case study, the proposed Coosa River Navigation project is discussed. The Coosa River project when completed is expected to reduce the cost of shipping commodities from origin to destination, and such reduction in shipping costs will stimulate the economy of the Coosa River Corridor, the Gulf-Coast Region, the Rest of Alabama, and the Remainder of the U.S. The empirical measurement was done in terms of industrial outputs, personal income, and employment of each of 31 industries in four regions in decennial years starting in 1990 and ending in 2039     

The Profitability of Trading Strategies Based on Book Value and Earnings in Hong Kong: Market Inefficiency vs. Risk Premia

Using a sample of Hong Kong firms, we have examined the relative and incremental usefulness of book-to-price ratio (B/P), and earnings-to-price ratio (E/P) for providing profitable trading strategies or for predicting stock returns. Our results show that trading strategies based on B/P or E/P yield significant excess returns for various holding periods up to two years, and that B/P and E/P are not only individually but also incrementally useful for predicting stock returns. Further, results of various tests indicate that trading profits observed from the B/P strategy are likely to be a result of B/P proxying for risk differentials, while those from the E/P strategy are related to gains from exploitation of market inefficiency or mispricing. The two ratios appear to capture different aspects of firm value in Hong Kong.     

COST-VOLUME-PROFIT ANALYSIS UNDER UNCERTAINTY WHEN THE FIRM HAS PRODUCTION FLEXIBILITY

This study examines the behavior of the firm which faces uncertainty in demand but can adjust its output once the uncertainty is resolved, using contingentclaims analysis. The paper finds that (i) the optimal output of the firm with ex post adjustment capability is less than that of the firm without production flexibility; (ii) the optimal ex ante output increases with the higher interest rate; (iii) the greater the marginal cost associated with the expost adjustment and/or salvage value, the greater the optimal ex ante output; and (iv) the effect of demand volatility and production lead time on the optimal ex ante output could be either positive or negative. Based upon the study's findings, some important managerial decision implications are discussed.     

THE USE OF MULTIPLE INSTRUMENTS FOR MEASUREMENT OF EARNINGS FORECAST ERRORS, FIRM SIZE EFFECT AND THE QUALITY OF ANALYSTS'FORECAST ERRORS

This paper develops an instrumental variables framework to form a better proxy for earnings forecast errors. The key aspect of the approach is to extract information from alternative proxies for the same underlying variable, namely a portion of realized earnings signals unexpected by the market. We use signs of various proxies for earnings forecast errors obtained from different time-series forecasting models as multiple instruments. The results show that the instrumental variables approach is effective for reducing measurement errors inherent in various proxies for earnings forecast errors. It produces not only a smaller magnitude but also a narrower dispersion of earnings forecast errors. The paper provides evidence that the instrumental variables approach performs better for small-firm samples than for large-firm samples. Finally, we observe that analysts' forecast errors seasoned with the signs of various time-series forecast errors (as well as the signs of their own forecast errors) outperform those without seasoning. This indicates that analysts' forecast errors can still be improved by employing the instrumental variables technique.