适用于宽带网络波形的基于定价策略的时隙选择

针对宽带网络波形（Wideband Networking Waveform,WNW）的多信道二维时频资源,以减小网络资源浪费为优化目标,提出了一种基于定价策略的时隙选择方法（Pricing Strategy Based Slot Selection,PSSS）。该方法通过接纳控制保障资源分配的公平性,采用对偶优化建模与椭圆搜索法实现最优的时隙选择。理论分析证明该方法能够在多项式级别时间复杂度内搜索到时隙选择的最优解。仿真结果表明,提出的PSSS算法通过较低资源浪费获得了较低的容量冗余度,能够有效地解决WNW多信道网络的时隙选择问题。     

Ethical decision‐making in Islamic financial institutions in light of Maqasid Al‐Sharia: A conceptual framework

This article develops a conceptual framework for ethical decision‐making in Islamic financial institution based on the Islamic methodological approaches on ethics. While making use of the similarities between the scientific method and the Islamic jurisprudence method, a framework is developed by means of argumentation and reasoning to integrate Sharia doctrines with the “plan, do, check and act” (PDCA) cycle as a managerial tool. Using Al‐Raysuni's analysis of Al‐Shatibi's work on maqasid al‐sharia, this article develops a framework to assess the ethical aspects of Islamic financial operations, which is then applied to hypothetical cases. This approach can help overcome the methodological deficiencies in measuring ethical performance in Islamic finance by focusing on the process of ethical decision‐making that leads to the outcomes of organizational behavior beyond legality of contracts. The framework outlines the conditions under which an activity that is considered legal and permissible contractually could lead to outcomes that can make it ethical or unethical.     

基于分类DEA的高校科技成果转化绩效评价——以江苏省39所本科高校为例

结合江苏省高校科技创新成果转化的现状,构建高校科技成果转化效率评价体系,以江苏省39所本科院校为研究对象,采用分类DEA法,将评价指标的选取和成果转化效率的测算有机结合,分别测算39所江苏省高校、28所其他本科院校的科技成果转化的总体效率。研究表明211高校的科技成果转化效率相对较高,18所非DEA有效的其他本科院校中有11所高校的规模报酬递增。     

数字经济对装备制造业全要素生产率的影响和提升研究

数字经济是中国制造业实现由大变强的必由路径.装备制造业作为工业之母,其数字经济水平是工业技术进步上台阶的重要保障.从全要素生产率视角收集了2005—2018年中国装备制造业及6个细分行业的数据资料,实证研究数字经济对装备制造业全要素生产率的影响.结果显示,数字经济显著提高了中国装备制造业的全要素生产率,其中分解项技术进步的提升效果要大于技术效率.最后从数字经济视角针对装备制造业的全要素生产率提升给出了对策建议.     

The Non‐Observed Economy in Portugal: The monetary model and the MIMIC model

This paper offers estimations for the Portuguese path of the Non‐Observed Economy (NOE), in the period 1970–2015, through two seminal approaches: monetary method and the Multiple Indicators Multiple Causes (MIMIC) model. It is observed that the tax burden and social benefits are its main causes. Then, to get a more in‐depth understanding of the phenomenon, it provides a study of the Granger causality between the NOE and the official Gross Domestic Product (GDP), emphasizing the implications of the NOE on the Portuguese economy. Evidence has been found for the existence of bidirectional causality between the NOE and the GDP, suggesting that the formal economy affects the NOE, and conversely that the NOE affects the economic growth.     

Data preprocessing and quantile regression for probabilistic load forecasting in the GEFCom2017 final match

Team QUINKAN competed in the GEFCom2017 final match of hierarchical probabilistic load forecasting by adopting the quantile regression method using the R package quantreg. The weather stations were clustered into 11 groups, from which an optimal one was chosen for each load meter using the boosting method. The load meter records were cleaned and/or supplemented by various methods in order to secure robust quantile predictions. The variation in the regression formulas was kept as small as possible by introducing measures for suppressing prediction instability, although special formulas were employed for loading meters that were of an industrial nature. Several procedures were applied to help improve the accuracy, such as the smoothing of season transitions, coarse graining of the relative humidity, the use of load-oriented day-type definition, the averaging of weather data, and outlier removal.     

基于熵值法的高质量发展综合评价研究

探索高质量发展评价指标体系是当前社会各界面临的极富挑战性和开创性工作。从生产、分配、交换和消费四个环节选取23个指标构建高质量发展指标体系,利用熵值法对2000—2015年我国经济高质量发展进行评价。在此基础上从提升全要素生产率、调节国民收入分配格局、助力文化消费以及防范市场风险等层面提出政策建议。     

区域创新方法支撑企业创新活动模式研究——以宁夏为例

在企业创新动力和企业创新机理分析的基础上，从创新方法支撑企业创新活动的角度，重点分析了资金、人才、制度三种创新要素和学习能力、创新管理能力、生产能力和营销能力四种能力如何应用创新方法予以整合和提升。并以宁夏为例，系统阐述区域创新方法支撑企业创新活动的实践路径，提出深化区域创新方法应用推广，支撑企业创新活动的建议，为我国区域创新方法应用推广工作提供参考与借鉴。     

Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

ABSTRACT

In the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.     

Impact of foreign direct investment on greenhouse gas emissions in agriculture of developing countries

This research analyses the impact of foreign direct investment on greenhouse gas emissions in the agriculture sector of developing countries. Panel data from 63 developing countries for the period 2005 to 2014 was used to estimate a dynamic econometric model by applying a system‐generalised method of moments. The empirical results indicate a positive impact of foreign direct investment in agriculture on the carbon dioxide equivalent emission intensity in developing countries. The results provide weak support for the pollution havens hypothesis and imply the importance of coordination between foreign direct investment and environmental policies.