基于潮汐交通的可变车道分流带设置研究

为了提高潮汐交通道路的安全度,基于南京市虎踞路调查的交通数据,分析其潮汐交通特性,针对潮汐路段提出优化设计方案,在可变车道内,分析车辆的速度、道路宽度以及汽车转弯半径对分流带长度的影响,利用切函数与约束函数,设计一定长度的自动可移动式分流带。利用交通微观仿真平台vissim对实施协调控制后的结果进行仿真实验,结果表明控制后的车头间距增大,通行效率得到提高,安全度提高。     

我国服务业FDI结构、技术进步与经济增长

服务业外商直接投资可分为生产性服务业外商直接投资和消费性服务业外商直接投资,二者对国家经济增长有着不同的影响。本文从技术进步的角度,利用面板模型,研究了我国不同类型服务业外商直接投资对经济增长的影响,并分别讨论了东西部地区服务业外商直接投资对技术进步和经济增长的差异性影响。研究结果表明生产性服务业外商直接投资对经济增长和服务业技术进步均有明显促进作用,消费性服务业外商直接投资对经济增长有促进作用,但对服务业技术进步有阻碍作用,且这一趋势在我国东西部地区之间存在显著差异。     

当前经济形势与互换利率走势判断

2010年上半年,利率互换市场交投活跃。随着市场对经济增长和政策运用预期的不断修正,互换利率继1月创出新高后一路振荡下行。预计下半年,在基本面、政策面、资金面和利率自身波动节奏的相互作用下,市场参与者的预期将反复进行修正,互换利率将呈现宽幅震荡。     

煤矿空压机余热回收利用项目设计

为了提高空压机能量利用率,解决空压机在夏季制冷效果差等问题,以新疆地区某煤矿空压机改造工程为例,提出了一种余热回收系统用以吸收空压机产生的余热。系统利用油水换热器将空压机产生的余热经一次循环系统传递到高温水箱,由高温水箱加热自来水制备洗浴热水。研究数据表明,系统全年回收余热相当于87 952 m³天然气所释放的热量,在冬季、夏季和春秋季利用这些余热可制备的45 ℃洗浴用水量分别为51.5,58.9和55.7 t。此外,经济性分析表明,系统的静态投资回收期预计为2.5 a。因此所设计的空压机余热回收技术具有一定的经济和使用价值,研究结果对矿区空压机余热回收系统的推广具有重要的借鉴意义。     

抢抓成渝“双圈”机遇打造川南渝西联动发展新支点的思考

根据中央成渝双城经济圈建设的战略决策和四川省、泸州市相关部署,结合天华公司“十四五”规划和现实情况,认真学习贯彻落实上级部署要求和讲话精神,学以致用,融会贯通,抢抓自身优势,科学谋划,主动融入双城经济圈建设,积极推进公司高质量发展,实现天华的二次腾飞和再塑辉煌。     

典型场景下换电重卡的技术经济性分析

换电重卡能够解决新能源重卡购置成本高、充电时间长等痛点,对于加快我国货车电动化进程具有重要意义。但是,受制于车辆换电成本高、续驶里程短等因素,换电重卡的推广应用需具备合适的应用场景和一定的政策支持。为研究换电重卡的适用场景与应用范围,本文构建了多个典型场景下换电重卡的技术经济性模型,分析了影响换电重卡使用阶段经济性的主要因素。结果表明,对换电重卡经济性影响最大的因素是电池综合服务费;在中长途运输场景下,载货量对换电重卡经济性的影响同样明显;碳交易制度对换电重卡的经济性影响则较为有限。为推动换电重卡的发展,政策层面应给予换电重卡更多支持,降低换电重卡购置成本与运营成本,同时给予换电重卡更多政策便利条件,促进换电重卡的推广应用。     

碳排放约束视角下产业智能化对区域经济差距的影响研究

本文利用2003~2019年中国省级面板数据,从碳排放约束视角出发,实证考察了产业智能化对区域经济差距影响的差异性和产业智能化影响区域经济差距的机制。研究表明,产业智能化对缩小全国、东、中和西部地区省域间经济差距具有显著的正向效应;进一步考虑碳排放约束,发现碳排放约束正向调节了产业智能化对区域经济差距的正向效应,西部地区由于自身产业结构和区位因素,抑制了产业智能化对区域经济差距的正向效应;最后,对产业结构升级的两个子维度在产业智能化和区域经济差距间的中介效应检验,发现产业结构升级的中介效应存在,且主要是通过产业结构高级化实现,产业结构合理化发挥的作用较小。     

数字经济对区域经济高质量发展的影响研究

推动数字经济发展,是我国在当下推动经济转型,促进高质量发展的重要战略。本文基于2012~2019年省级面板数据,构建双向固定效应模型,运用基准回归、异质性检验和分位数回归的方法进行实证研究发现,数字经济助推经济高质量发展的同时还存在地区差异,对西部影响最大,中部影响最小,而数字经济的发展水平又受到产业结构、技术创新等因素影响。因此,本文针对不同地区差异分别提出建议,从而促进持续更新发展理念,以创新驱动发展,优化产业结构为数字经济提供良好环境,以期推动数字经济建设发展。     

CEO career horizon,corporate governance,and real options: The role of economic short‐termism

Research Summary: Combining studies on real options theory and economic short‐termism, we propose that, depending on CEOs’ career horizons, CEOs have heterogeneous interests in strategic flexibility, and thus, have different incentives to make real options investments. We argue that compared to CEOs with longer career horizons, CEOs with shorter career horizons will be less inclined to make real options investments because they may not fully reap the rewards during their tenure. In addition, we argue that long‐term incentives and institutional ownership will mitigate the relationship between CEOs’ career horizons and real options investments. U.S. public firms as an empirical setting produced consistent evidence for our predictions. Our study is the first to theoretically explain and empirically show that a CEO's self‐seeking behavior will impact real options investments. Managerial Summary: This article helps to explain how a CEO's self seeking‐behavior may shape a firm's real option investment, which could result in different level of strategic flexibility. We argue that CEOs with short career horizons have less time to exercise their firms’ real options, which should lower the investments in the firms’ real options portfolios relative to CEOs with long career horizons. We study a sample of U.S. public firms and find strong evidence that a CEO's expected tenure in the firm is positively related to the real options investments at the firm level. We find that this agency issue can be mitigated by adopting appropriate corporate governance mechanisms such as long‐term incentives and institutional investors.     

Inventory model for an inventory system with time-varying demand rate

The standard inventory problems of the multi-period have been modeled under different situations. Specifically we have considered the demand subjects of a continuous distribution and a discrete distribution, and whether the demand of each period is unchanged or not. A method to get an economic order quantity in inventory systems with discrete and unchanged demand was presented in a previous paper, and this method has been generalized to an inventory model with varying continuous demand. However, it was not achieved due to there being many classified cases in the general situations. In this article the above method is discussed in the case discrete demand to determine whether it increases or decreases from period to period. A theoretical method is presented by using previous results and some examples are given which suggest how the concept can handle on inventory system. In order to make the decision, an algorithm is also presented under some conditions, and examples are shown by using the computer software program, Mathematica, which helps to explain the findings. In general cases, we view the optimal policy in the inventory problems in only a few periods.