浅析农网升级改造工程后台区线损管理

农村电网在升级改造完成后,如何降低线损便成为此后管理工作中的重中之重,这同时也是提高电力企业经济效益的迫切需要,本文就如何降低线损进行全方位,多方面的系统阐述并提出相应改进措施。     

别让IT运维成为中小企业迈向国际化的“包袱”

随着中国改革开放的不断深入,中国加入WTO,国内中小企业如雨后春笋般的发展起来,甚至已经将公司开到了国外,为新中国的经济腾飞做出了不可磨灭的贡献,期间IT系统在规范管理、提升工作效率方面起到了应用的作用。但随着企业规模的不断扩大,分公司越来越多,地域间隔越来越远,IT系统运维正变得空前困难。鉴于此,本文将着重介绍如何利用新技术降低IT运维成本,提升运维效率。     

Asset specificity and conditional accounting conservatism

Asset specificity, the redeployability of an asset to alternative uses, is a key determinant of an asset's resale value. Asset specificity has a direct impact on a firm's ongoing fair value determination, bankruptcy risk, liquidation value, and abandonment option. We document a significant negative association between asset specificity and conditional conservatism. Further tests reveal that this inverse relation manifests as bad news being less quickly incorporated in earnings as asset specificity increases. We find no difference in the extent to which good news is delayed in earnings for firms conditional on asset specificity. In addition, the documented association is stronger when asset specificity arises from lower within‐industry acquisition activity. The association is also more pronounced for firms that are in less competitive industries, have institutional investors, have limited access to the public debt market, and/or have more unsecured debt. Our findings are noteworthy for regulators and researchers given the recent interest in the determinants of conservatism.     

Remote sensing-based detection of agricultural land losses around Greater Cairo since the Egyptian revolution of 2011

Over the last four decades, the loss of agricultural land has been observed in Egypt at high rates. However, the highest rates of losses have occurred since the January 25th revolution in 2011. Greater Cairo (GC), which is the largest metropolitan in Egypt, has witnessed a massive loss of agricultural land since the 2011 revolution. However, until now, no study or official report has revealed the volume of agricultural land losses in this region. This study quantifies agricultural land losses around the GC using Landsat satellite images from 2010 and 2018. Supervised classification was performed using the maximum likelihood algorithm in QGIS software. A post-classification comparison method was applied to detect the land use/land cover changes between the classified images; then, the loss of agricultural land was quantified using Arc GIS software. Visualizations of the gains and losses in agricultural land and the spatial trends of agricultural land losses were created using TerrSet software. The results show that 9600 ha of agricultural land were converted to urban use during 2010–2018, which means that the annual rate of agricultural land loss has tripled and now reaches approximately 1200 ha per year. Decay of executive authority, rapid population growth, real estate market speculation and fragmentation of agricultural land were the main driving factors of agricultural land losses during this period. The results of this research may help decision makers understand the current high rate of agricultural land loss. Hence, appropriate strategies may be adopted to prevent future losses of this valuable land.     

The effect of investment and withdrawal horizons on myopic loss aversion

Using unique survey data, we find that a longer investment horizon (6–10 years and 11+ years) reduces the likelihood of exhibiting myopic loss aversion (MLA) compared to an investment horizon of less than 2 years. In addition, we find that investors with higher levels of assets under management (AUM) are less likely to exhibit MLA compared to the lowest AUM quartile.     

The effect of risk-taking behavior on profitability: Evidence from futures market

We explore how futures traders make a tradeoff between risk and return by examining their risk-taking in the action. By applying a novel measure to their trade-by-trade transactions to capture their tendency in risk-taking, we find a general tendency to reduce risk-taking by cutting positions when facing losses or gains, and the tendency is stronger in the case of losses. However, great variations exist among traders in the risk-taking tendency and the results for trading are opposite for profitable and unprofitable traders. For the unprofitable, more risk-taking by trading more actively leads to greater losses. This is concrete evidence for the prevailing belief in the literature that trading too much, arguably due to overconfidence, is hazardous to investor's wealth. Contrary to that belief, however, we find fresh evidence that more active trading by the profitable traders leads to greater profits, suggesting their trades are likely based on ability and skills.     

Asymmetry,Complementarities, and State Dependence in Federal Reserve Forecasts

Forecasts are a central component of policymaking; the Federal Reserve's forecasts are published in a document called the Greenbook. Previous studies of the Greenbook's inflation forecasts have found them to be rationalizable but asymmetric if considering particular subperiods, for example, before and after the Volcker appointment. In these papers, forecasts are analyzed in isolation, assuming policymakers value them independently. We analyze the Greenbook forecasts in a framework in which the forecast errors for different variables are allowed to interact. We find that allowing the losses to interact makes the unemployment forecasts virtually symmetric, the output forecasts symmetric prior to the Volcker appointment, and the inflation forecasts symmetric after the onset of the Great Moderation.     

Public acceptance of and heterogeneity in behavioral beach trip responses to offshore wind farm development in Catalonia (Spain)

A combined travel cost – contingent behaviour survey of residents and tourists in Catalonia is conducted on-site to examine the effects on beach recreational demand of developing an offshore wind farm (OWF) project. The survey considers four potential OWF scenarios with different degrees of visual impact. We allow for heterogeneity in trip preferences among individuals and control for on-site sampling through the use of a random parameters negative binomial (RPNB) model and a Multivariate Poisson log-normal (MPLN) model, respectively. The welfare measures derived from the RPNB model relate to the current beach users only, whereas those from the MPLN model refer to the general population of residents and tourists in Catalonia. The results show the importance of the specific place of location of the OWF project and how the installation of wind turbines would significantly decrease the demand for trips, depending on their degree of visual impacts, leading to a substantial welfare loss. However, the results also show that the project mainly would cause a displacement of trips to other beaches within Catalonia rather than outside Catalonia and that the welfare per trip measures generated by the RPNB and MPLN models substantially differ. Policy implications of these findings are discussed.     

Firm performance in dynamic environments: The role of operational slack and operational scope

This study examines the effects of operational scope (breadth of product offering, extent of geographical diversification, and extent to which production processes can effectively meet varying demand) and operational slack (resources in excess of what is required to fulfill expected demand) on firm performance, contingent on two components of a firm's dynamic environment, unpredictability and instability. We collate quarterly data on 3857 publicly traded firms in 19 industries from the years 1991 to 2013 (representing 99,559 firm-quarter observations). Using panel data analysis, we find that narrow product offerings, low geographical diversification, low levels of excess capacity, and low inventory slack are each positively associated with firm performance. More importantly though, we find that operational scope is associated with improved performance in unpredictable environments, whereas operational slack is associated with improved performance in unstable environments. These findings contribute to the research on operations strategy by identifying the industry-specific environmental conditions under which operational slack and operational scope are associated with firm performance.     

Theoretical,empirical, and operational models in hotel location research

This paper aims to review past literature on hotel location models and evaluate the state of the art, as well as set out future directions. This study divides hotel location models into three major categories: theoretical models, empirical models, and operational models. Four theoretical hotel location models are reviewed and discussed, including the tourist-historic city model, the mono-centric model, the agglomeration model, and the multi-dimensional model. Based on previous literature, six empirical models and three operational models of hotel location are elaborated. Furthermore, some challenges related to hotel location studies are discussed, and future research directions are provided. In particular, we advocate the development of more sophisticated hotel location models and the use of Geographic Information System (GIS) in hotel location analysis.