数字经济时代企业人力资源管理创新策略

随着市场经济的快速发展,科技也在不断地进步,各种技术与市场经济相结合,促进了一个数字经济的时代的诞生,并对世界经济的发展产生了新的影响。在新的发展环境下,企业必须加快转变和发展,提高生产效率,改善经营效能,提升开发品质。所以,怎样才能更好地发挥企业的效益,就显得尤为重要。但是,在目前的情况下,企业采用的人力管理方式并不能满足数字化经济时期的发展需要,在发展过程中还存在着许多问题。本文全面分析数字经济时代下企业人力资源管理中存在的问题,针对性提出人力資源管理模式的创新途径,旨在有效推动企业实现管理水平提升。

对《基本RBC方法模拟中国经济的数值试验》的评论及其他

在这篇扩展的匿名审稿报告中 ,我们先主要针对原文中标准RBC模型对于中国数据的拟合能力以及原文作者拟合实际经济所采用的方法提出若干不同意见与建议 。

雄安新区的建立对山西经济的影响分析

伴随着我国经济社会的飞速发展,雄安新区作为国家级新区,它的建立辐射到周边多个区域,集合经济、生态、交通、教育、工业等多个领域,呈现出了强大的发展优势。山西地处太行山之西,位于河北、河南、陕西内蒙古等省区的交界之地,借助雄安新区的发展规划呈现出了新的发展趋势。因此,围绕雄安新区的建立价值及对山西经济的发展特点、影响区域展开探究,供大家借鉴参考。

Numerical Simulation of a Landfall Typhoon Using a Bogus Data Assimilation Scheme

A typhoon bogus data assimilation scheme (BDA) using dimension-reduced projection four-dimen-sional variational data assimilation (DRP-4-DVar),called DRP-BDA for short,is built in the Advanced Regional Eta Model (AREM).As an adjoint-free approach,DRP-BDA saves time,and only several minutes are taken for the full BDA process.To evaluate its performance,the DRP-BDA is applied to a case study on a landfall ty-phoon,Fengshen (2008),from the Northwestern Pacific Ocean to Guangdong province,in which the bogus sea level pressure (SLP) is assimilated as a kind of observa-tion.The results show that a more realistic typhoon with correct center position,stronger warm core vortex,and more reasonable wind fields is reproduced in the analyzed initial condition through the new approach.Compared with the control run (CTRL) initialized with NCEP Final (FNL) Global Tropospheric Analyses,the DRP-BDA leads to an evidently positive impact on typhoon track forecasting and a small positive impact on typhoon inten-sity forecasting.Furthermore,the forecast landfall time conforms to the observed landfall time,and the forecast track error at the 36th hour is 32 km,which is much less than that of the CTRL (450 km).

Utilization of CO2 Injection to Improve Oil Recovery of the Handsworth Bakken Formation

The Bakken formation has become a prominent oil resource for south-east Saskatchewan, especially with the advent of horizontal well technology and new hydraulic fracturing methods. As more wells are drilled, there is a desire to determine whether there is potential for improved oil recovery and to evaluate the economic feasibility. This paper evaluates the benefit of implementing waterflooding, CO2 injection or WAG （water-alternating-gas） recovery methods for improved oil recovery of the Bakken formation. A simulation model resembling the study area was built using CMG-GEM （computer modeling group-generalized equation of state model） reservoir simulation package and a history match of the primary recovery data available was performed. Based on the simulation results, it was concluded that waterflooding had a significant influence on the oil recovery factor, although COz provided the highest increase in crude oil recovery, The capital expenditure for surface facilities and cost of injected fluid was the most economically viable for implementation of waterflooding. The WAG injection simulation results were similar to CO2 injection, except that reservoir pressure was able to be better maintained. Given that high-quality source water is available, waterflooding is the most economically feasible choice according to the simulation results obtained from this study.

Electricity Consumption and Spillover Effects A Dynamic Panel Data Approach

The paper intends to analyze economic factors that influence electricity consumption in the OECD economies. A special interest in this context is given to spillover effects of trade on electricity consumption. For this purpose, a model is constructed that using a dynamic panel study approach. The model is estimated in a GMM framework in which a dynamic procedure is conducted along the balanced growth path for electricity consumption in each economy. In advance, the long run dynamic behavior of prices, GDP, and trade induced spillover variables is determined. In a further step, the short run dynamic mechanism is pursued by estimating the partial adjustment dynamic coefficient on the target level of electricity consumption. The analysis is conducted for industrial, as well as residential electricity consumption. Alternatively, the same procedure is estimated by the application of a fixed period model. The model provides a benchmark tool for electricity policy decisions and for electricity consumption projections.

Measurement of Economic Result in Public Organizations： A Departmental Analysis

The aim of this work is to demonstrate how public university hospital （UH） managers can improve the process of decision-making by using the measurement of economic value added to the society （EVAS） generated by these organizations. Thus, the economic values of the organization and its departments were calculated, according to the theory studied： measurement model of economic result of Slomski （1996）. It was considered the conduction of a case study in a public UH, evaluating its economic performance in a 3-year period. For the interpretation of results, the Data Envelopment Analysis （DEA） which categorized the departments of the hospital studied as efficient or inefficient was used. This study revealed that managers can improve the decision-making process by using the EVAS, since it has been established that this measurement of economic value has sensitivity to identify which of the economic value drivers should be emphasized in the management.

The Impact of Climate Change on China＇s Grain Market and Food Security-- A CGE Model Approach

This paper examines the impact of climate change on China＇s grain production and food security. The research is one of the four studies on future conditions of China＇s food production system under the influence of climate change using numerical simulation methods, carried out under a national 973 project entitled ＂impacts of climate change on food systems in China and its adaptation＂. The other three studies focus on changes in cultivated land area and food production, while this study incorporates their grain yield results into a general equilibrium model to simulate future conditions of the grain market. Our simulation analysis arrives at the impact of climate change by comparing such economic variables as grain production, consumption, and GDP growth rate between a baseline scenario and two climate change scenarios. Our results are summarized as follows： （1） In 2050, the total grain production will reach 689.683 million tons--584.264 million tons of total grain consumption and 42.808 million tons of exports. Without considering losses and inventory demand, in 2050 China＇s grain supply and demand will remain well balanced, with a slight surplus expected. （2） Climate change is expected to benefit China＇s macro economy and individual sectors. In comparison with the baseline scenario of no climate change, real wage, real GDP, investment, household consumption, exports, and other macroeconomic indicators will rise under the climate change scenarios. As far as the agricultural, manufacturing, and service sectors are concerned, production, consumption, imports, and exports will each be favorably affected by climate change. （3） The favorable impact of climate change on China＇s macroeconomy and individual sectors under the high emissions scenario （A2） is stronger than that under the low emissions scenario （B2）. （4） In the grain market, climate change is expected to increase supply, reduce imports, increase supply, and demand; and supply will increase more than demand does. All in all, if taking into the fertilization effect of CO2 account, climate change is expected to strengthen China＇s grain supply and safeguard food security.

The Challenges of Assessing the Output of EmergentEconomies： The Case of Bahrain

Business analysts worldwide use the standard theories and tools of macroeconomics and finance to determine the investment, trade or production possibilities in foreign markets. These evaluations are generally supported by three sources： estimations of using country-specific macroeconomic data on which they can determine patterns of growth, inflation, unemployment, productivity, income per capita, etc.; timely data on current conditions and developments in production, income and spending; and institutional information on policy makers, business practices and financial markets. This paper focuses on the first two where we examine the publically available macroeconomic data for the Kingdom of Bahrain to determine their reliability. Among our findings are： （1） creating a reliable data base of macroeconomic data is difficult due to data revision and incomplete data gathering; （2） the movement of standard macro-variables is often unusual, leading one to question further the reliability of the data; （3） based on available data it appears that the growth in Bahrain has been driven almost solely by an increase in the number of people working, with little to no apparent rise in productivity; and （4） the growth of GDP will eventually be constrained by physical limits on population growth, and can be improved only if ways can be found to increase the productivity of the workforce.

航空气象的经济效应

国际航空气象服务的目的是对国际航空的安全、正常和效率作出贡献。过去航空气象把主要任务放在航空的安全、正常上，人们普遍没有意识到其潜在的经济效应。欧美一些国家已经较早地认识到了这一点，并已经为他们创造了巨大的效益，特别是随着数值预报技术的发展，航空气象的经济效应得到了更充分的体现。

Emergy Evaluation of Agro-ecosystem of Shiyang River Basin,Northwestern China

This paper presents an ecological analysis of agricultural systems in arid region of Northwestern China. Emergy analysis, a method for environmental accounting developed by H.T. Odum in the Eighties, is appropriate for this task because of its ability to transform different types of inputs to a common form （solar emergy） in order to allow scientific and objective comparisons across different period and regions. Taking Liangzhou and Minqin oases, located in the middle and lower reaches of the Shiyang River basin in Gansu province as a case study, the detailed structure of the agricultural process, input/output and emergy indicators of the systems are examined and compared for the years 1986 and 2000. Both the total emergy input and the total yield increased in the two oases. In Liangzhou Oasis the emergy of livestock production exceeded the traditional crop production, which still is the dominant production in Minqin Oasis. The emergy investment ratio, EIR, although increased in the investigated period, was less than 0.5 in both Liangzhou and Minqin oases, indicating that purchased materials and services were less than half the value of indigenous emergy sources exploited. As a consequence, the emergy yield ratio, EYR, was very high in both Liangzhou and Minqin oases. However, the increasing environmental loading ratio, ELR, and the decreasing environmental sustainability index, ESI, in the two oases illustrate a weakening sustainability of the two agro-ecosystems, and this tendency was more evident in the downstream Minqin Oasis, calling for more attention to the environmental degradation in the region.

Interplay between strong Allee effect, harvesting and hydra effect of a single population discrete-time system

The dynamics of a single population with non-overlapping generations can be described deterministically by a scalar difference equation in this study. A discrete-time Beverton- Holt stock recruitment model with Allee effect, harvesting and hydra effect is proposed and studied. Model with strong Allee effect results from incorporating mate limitation in the Beverton-Holt model. We show that these simple models exhibit some interesting （and sometimes unexpected） phenomena such as the hydra effect, sudden collapses and essential extinction. Along with this, harvesting is a socio-economie issue to continue any system generation after generation. Different dynamical behaviors for these situations have been illustrated numerically also. The biological implications of our analytical and numerical findings are discussed critically.