时空大数据支持的土地储备智能决策体系与应用研究

研究目的:设计土地储备智能决策体系,将土地储备决策环节进行科学化、定量化和模型化,为政府合理开展土地储备提供决策依据。研究方法:遵循科学性、实用性、先进性、开放性原则,以数据为驱动,人工智能为核心,通过基于Hadoop/Spark的大数据处理技术、多源异构数据融合技术、智能决策模型集对多源时空大数据挖掘分析。研究结果:提出了土地储备智能决策体系,研究了一套面向土地储备的决策方法集,实现对现状条件的精准刻画,对土地储备规模、结构、时序等内容的科学决策;在此基础上,研发了智能决策支持平台,将数据资源共享、现状条件评估、智能决策专题等功能集成,构建土地储备智能决策"一张图",并实现平台的自我学习和更新。研究结论:应用于宁波市实例验证,该体系有效地促进了土地储备科学智慧决策,对优化土地资源配置具有参考意义。     

泰州市动力和储能电池产业发展研究

梳理国内外动力和储能电池产业发展情况,从产业规模、重点企业、产业链、培养方向等角度剖析了泰州市动力和储能电池产业的现状问题,并针对性地提出了发展建议。     

LT码新型度分布及其在电力线通信中的应用

Luby变换(Luby Transform,LT)码作为信道编码应用于电力线通信(Power Line Communication,PLC)，可实现电信号的可靠传输。度分布对LT码编译码性能的影响至关重要。为了得到更优的度分布，首先调整二进制指数分布(Binary Exponential Distribution,BED)中的度数比例，获得一种译码性能更优的改进的二进制指数分布(Improved BED,IBED)。然后，根据IBED在冗余度较小时译码成功率高，而冗余度增大后鲁棒孤子分布(Robust Soliton Distribution,RSD)的译码性能表现更佳的特点，通过求和归一化的方式将IBED与RSD两种度分布的优势进行有机结合，提出一种新型二进制鲁棒孤子分布(Binary RSD,BRSD)。仿真结果表明，与其他方法及传统的RSD相比，采用新度分布进行LT编码，可明显降低译码开销，并节约编译码耗时。将新型度分布应用于基于LT码的PLC系统中，能有效地抑制PLC信道中各种噪声对电信号的干扰，并提高通信效率。     

Fuelled Power: Oil,Financiers and Central Bank Policy in Nigeria

While the literature on business power and global finance has illuminated the ways in which financial institutions limit the policy autonomy of states in developing countries, we know much less about the circumstances under which the power of financiers is undermined. In this article, I advance explanations of these circumstances by arguing that state access to natural resource revenues reduces the power of financial institutions and enhances the capacity of the state to pursue central bank policies which violate the interests of major financiers. I employ a case study of central bank policy in Nigeria to probe this argument and find evidence that supports the claim that whenever the Nigerian government's access to resource revenues increased, the state's capacity to diverge from financiers’ preferred central bank policies and to advance its own preferences increased as well. The analysis provides the basis for broader propositions about the policy space of developing countries vis-à-vis financial institutions and the variability of structural power.     

基于平价上网的海上风电可靠性研究

海上风电是最具规模化开发价值的可再生能源,预计2020年我国累计装机容量突破8.5GW。海上风电的运维成本在度电成本占比25%～40%。2019年起国家推行风电平价上网,对海上风电的发展带来深刻影响。通过海上风电度电成本分析,建立成本-效益模型。研究发现,风电设备的可靠性、可利用率决定了运维成本和度电成本的水平。基于成本-效益模型测算某海上风电项目的度电成本,风机设备可利用率为97.15%时,运维成本下降26.88%,度电成本最低,为0.575 2元/kW·h。     

The heterogeneous relationship between board social ties and corporate environmental responsibility in an emerging economy

Firms in emerging economies are faced with multiple, incompatible institutional forces in their environmental activities. Which of these forces will be dominant and instantiated within an organization is partly determined by the social relationships that a firm maintains with external actors. This paper investigates the relationship between board social ties and the level of environmental responsibility undertaken by firms in China, an emerging economy, by categorizing board social ties into three types in terms of the three isomorphic forces in the institutional field (coercive, normative and mimetic). Drawing on institutional and agency theories, using a sample of listed firms in environmentally sensitive industries, and a generalized least squares regression method, the results provide empirical evidence that ties that are linked to coercive and normative forces (i.e., political organizations and universities) are related to a higher level of environmental responsibility; however, those that are linked to mimetic forces (i.e., industrial peers) have a negative association with environmental responsibility, which is mitigated by CEO power. These findings suggest that the heterogeneous effects of board social ties on environmental responsibilities experienced by firms in a context of environmentalism are at an early stage.     

Power moderates the impact of desire for exclusivity on luxury experiential consumption

This research examines the effect of desire for exclusivity on evaluations of luxury experiences and proposes a boundary condition for the effect. The scarcity effect literature suggests that consumers prefer scarce products due to limited supply because they appeal to consumers’ desire for exclusive consumption. Building on this thesis, the current research argues that luxury experiences are intrinsically scarce enough to appeal to consumers’ desire for exclusivity: Consumers with a strong desire for exclusivity will evaluate luxury experiences more favorably than those with a weak desire for exclusivity. A pilot study confirms a positive correlation between consumers’ desire for exclusivity and attitudes toward luxury experiences. Study 1 demonstrates that consumers with a strong desire for exclusivity show more favorable attitudes toward luxury experiences than those with a weak desire for exclusivity. Further, Study 2 finds that consumers’ power state (powerful vs. powerless) moderates the effect of desire for exclusivity on their affinity for luxury experiences: Only when feeling powerful do consumers with a strong desire for exclusivity evaluate luxury experience more favorably than those with a weak desire for exclusivity. However, this is not the case when consumers feel powerless.     

Stochastic Frontier Estimation of Market Power in the Food Industries

We use a modified version of the stochastic frontier model to estimate oligopoly markups above the perfectly competitive frontier, separating out deterministic markups from purely stochastic markups. Using data from 42 US food processing industries between 1990 and 2010, empirical results indicate a widespread incidence of oligopoly power, with Lerner indexes averaging approximately 21%. Further, the estimated markups increase with industrial concentration but decrease with price elasticities and imports. Finally, the estimated Lerner indexes are in the range of previous food industry estimates using New Empirical Industrial Organization (NEIO) models.     

跳频信号的归一化多普勒频差最大似然估计

针对双站定位涉及的跳频信号多普勒频差估计问题，提出了归一化的频差最大似然估计算法，利用两个定位站接收到的跳频脉冲串信号，构建一个关于基准跳频频率多普勒频差的似然函数，通过网格搜索得到使似然函数最大的多普勒频差估计，既解决了跳频信号在不同跳频频率上多普勒频差不一致的问题，又充分利用在不同频率的脉冲串信号提高了多普勒频差估计精度。通过仿真对算法的性能进行了评估，结果表明，与基于子空间的算法比较，在脉冲数达到240个时，所提算法执行效率提升30%以上。     

Knowledge capital,CEO power,and firm value: Evidence from the IT industry

Disruptive innovation dramatically changes the demand of a product market in the information technology (IT) industry. In response to the impact of disruptive innovation, IT firms that may be eliminated from the competitive race actively develop innovative products and adjust their operating strategies to strengthen their survivability in the fiercely competitive market. Thus, this study explores the factors that affect firm value in the IT industry under the impact of disruptive innovation. The empirical results reveal that knowledge capital and CEO power play crucial roles in explaining firm value. IT firms with powerful CEOs and increased knowledge capital have high firm values. The effects of knowledge capital and CEO power on firm value are especially significant for founder and duality CEO firms. Furthermore, the influence of CEO power is more prominent in periods of financial crisis.