An agent-based multiattribute reverse auction approach for online secondhand commodities

Due to the price elasticity of demand for secondhand commodities, it is difficult to establish a quantitative model for the auction. This paper proposes an agent-based multiattribute reverse auction model to support multicommodity combinatorial auction. First, this paper establishes an agent-based reverse auction model and introduces the framework, procedures, and protocols of the model in detail. Second, in light of the multicommodity environment, the targets, protocols, auction strategies, and approaches are identified. Finally, by using the proposed agent-based auction model, both buyers and sellers will reach simultaneous agreements on the details of the commodities to complete the auction.     

“双循环”背景下旅游业高质量发展的实现路径

自改革开放以来,我国旅游经济总量不断增长,旅游产业地位逐步提升,旅游产业已逐渐成为推动经济发展的重要驱动力。近两年,受新冠肺炎疫情的影响,我国旅游市场受到巨大冲击。由此,以高质量发展为目标,推动“双循环”新发展格局下的旅游产业复苏成为当下旅游产业发展最重要的现实需求。面对新的发展环境,我国旅游产业在发展规模、发展结构、发展动力、发展机制等方面存在深层次结构性矛盾,国内旅游消费需求不足、自主创新能力薄弱、体制机制不健全等问题逐渐凸显。基于此,我们可以通过优化旅游供给、促进文旅融合、现代科技赋能、深入开发入境旅游市场以及扩大开放等路径,加快培育完整的旅游内需体系,推动旅游业高质量发展。     

我国大众体育消费:理论探源、制约因素与实施策略

全面激励大众消费是构建以国内大循环为主体、国内国际双循环新发展格局的内在驱动力。本文采用理论分析、逻辑分析方法对当前大众体育消费的理论基础及制约因素进行研究。研究表明:当前,我国体育产品或服务供给力不足、体育消费税制体系激励缺位、微观主体税负沉重、政府调控政策落实不到位等制约了大众体育消费。激励大众体育消费不仅需要政府规制和宏观调控政策的激励,而且需要提升市场机制对体育消费的资源配置作用,实施科技+体育和互联网+体育深度融合,完善财税激励政策,大力培育体育消费市场,扩大体育消费人群规模,达到助推体育消费高质量发展的政策激励调控目标。     

Controlling shareholder’s ownership,control rights and related-party transactions – analysis of regulatory effects based on board characteristics

International Entrepreneurship and Management Journal - After the share structure reform, controlling shareholder embraces more intimate related-party transactions to tunnel. Under the split of the...     

The relationship between carbon dioxide emissions and economic growth: quantile panel-type analysis

This paper samples the data of 138 countries during the 1971–2007 period, and performs an empirical test to validate the relationship between carbon dioxide emissions and economic growth. It first performs panel data analysis and quantile regression analysis to estimate the long-run elasticity relationships, and then analyzes the short-run error correction model to verify the causal relationship between the two. The empirical results indicate the following. (1) The long-run relationship between global carbon dioxide emissions and GDP is stable, with 32.6% of the sampled countries showing cross-coupling of the two (with an elasticity value of greater than 1), 47.1% reporting relative-decoupling (with an elasticity value between 0 and 1), and 20.3% seeing absolute-decoupling (with an elasticity value of smaller than 0). (2) The quantile regression shows that long-run elasticity declines along with the rise of carbon dioxide emission quantiles. In other words, cross-coupling turns into relative-decoupling. (3) The analysis of short-run panel data and quantile regressions mostly support the feedback relationship between carbon dioxide emissions growth and economic growth. This is consistent with the hypothesis developed by Kuznets. (4) According to the results of the quantile regression, the higher the quantiles, the faster and more stable of the short-run error-correction mechanism of the adjustments from short-run disequilibrium to long-run equilibrium. (5) Under the low-quantile carbon dioxide emissions growth and economic growth, the relationship between these two is not stable of the short-run disequilibrium adjustments in the error-correction adjustment process. However, the relationship between these two is steady and feedback in the case of high quantiles. Therefore, the first priority to combat global warming is to focus on the countries with high economic growth and high carbon dioxide emissions growth.     

Evaluating the operational performance of knowledge-based industries: the perspective of intellectual capital

Performance evaluation is more than a quantitative concept but should also take industrial characteristics into account in order to form an accurate evaluation. In the past, evaluations of the operational performance of knowledge-based industries have missed out a significant factor, which is intellectual capital (IC). By adopting data envelopment analysis (DEA), a multiple-objective decision making method, this study aims to construct an efficiency evaluation model for the Taiwanese digital content industry based on the perspective of IC. The empirical results suggest that the scale of the digital content companies does play an important role in influencing the operating efficiency. The firms have a small amount of capital can still attain optimal efficiency, from the perspective of IC. In addition, human resource capital and customer capital are the most significant influential factors that deserve digital content firms’ attention. It is suggested that enterprises in the digital content industries should focus more on managing their IC. DEA can provide the semiconductor firms’ operations with insights into resource allocation and competitive advantage as well as help with strategic decision-making.     

煤炭企业成本管理问题研究

本文主要从以下几个方面对煤炭企业成本管理问题进行探讨。首先,分析了煤炭企业成本的构成与特点,重点剖析了煤炭企业成本影响因素;然后,指出煤炭企业成本管理中现存的主要问题与不足;最后,针对各种问题提出相应解决途径并提出建议。     

Monopolistic third-degree price discrimination,welfare, and vertical market structure

Review of Economic Design - This paper reconsiders the effects of monopolistic third-degree price discrimination on welfare in a vertical market. The results indicate that monopolistic downstream...     

数据三分类下绩效评价的DEA方法

绩效评价是评价者的主观体现,不可避免地带有评价者主观偏好特征,如果评价以一种定量的方式进行,评价的基础即数据具有三分类特征。就DEA理论与方法而言,研究数据三分类有其必要性,它不仅仅是现实问题的特殊性要求,也是DEA方法优点之体现,具有广阔的应用前景。     

循环经济协同效应：背景、内涵及作用机理

本文结合技术经济学与系统科学协同理论,提出了“循环经济协同效应”概念并探讨其产生背景、内涵及作用机理。认为循环经济措施使社会经济系统子系统间通过物质流、能源流和信息流相互作用和影响产生协同效应,影响系统的资源、价值和环境效率;具有自然科学、经济学和生态学内涵。根据市场的自组织程度、经济发展阶段和技术经济水平的不同,循环经济协同效应分为自组织意义和他组织意义上的协同效应。本文拓展了我国循环经济学理论,为循环经济的进一步发展提供了理论指导。