Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm

In this paper, we propose a method for improving the accuracy of the estimation of interregional input–output tables, by combining the RAS method and the real-coded Genetic Algorithm (GA); these are simple representative methods for the estimation of an interregional input–output table. By comparing the performance evaluation results obtained using the proposed method, the RAS method, and Simulated Annealing, we verified that the combination of the genetic algorithm and the RAS method can enhance the estimation accuracy of an interregional input–output table. In addition, performance is further enhanced by adjusting GA parameters.     

Measuring the economic impacts of major sports events: the case of Formula One Grand Prix (F1)

This study was examined the new money generated from Formula One Grand Prix (F1) and the economic impacts of this new money on the host economy using input–output analysis. We find that the impact of the new money from non-local attendees or international attendees is more pronounced compared to that from local attendees. Also, F1 event appears to influence on sports-related industry as well as other industries such as manufacturing industry. Our findings suggest that the host cities should focus on increasing the non-local and international attendees in order to enhance the economic impacts of a sport event.     

Of stars and galaxies – Co-authorship network and research

We examine the association between network centrality and research using the accounting research community setting. We establish co-authorship network using papers published in the five top accounting journals from 1980 to 2016. We find that the co-authorship network in accounting is a “small world” with some most connected authors playing a key role in connecting others. We use machine learning to label published papers with multiple topics and find patterns in topics over time. More importantly, we find that co-authorship network centrality is positively associated with future research productivity and topic innovation and that the impact of centrality on productivity is higher with more senior authors. Further, centrality of an author’s co-authors also has an incrementally positive impact. We conclude that network centrality positively influences research output.     

技术进步中生产要素产出弹性关系假说及其检验

本研究提出了一个生产要素产出弹性关系假说,即在技术中性条件下,管理要素的产出弹性与劳动要素的产出弹性成正比,与资本要素的产出弹性成反比。通过构建自变量包括资本、劳动和管理要素的简单宏观生产模型,理论上证明了上述假说,经验上利用1970-2006年美国的时间序列数据和OECD七国面板数据也较好验证了假说。这种理论假说的分析和研究结果为我国继续回到经济快速增长的轨道而进行的政策选择空间提供了一个方向性指导。     

群体性突发事件的CAS分析——基于利益相关者理论的视角

群体性突发事件是社会风险动态演化成为公共危机的触发事件,它是一定时期内社会复杂系统中多元利益主体互动、博弈的产物。本文以建构论危机观为指导,从群体性突发事件中的利益相关者分析入手,试图在厘清多元利益主体间变动不居的关系基础上,植入群体性事件情境下的复杂适应系统理论（即CAS）分析。     

Environmental impacts of changes to healthier diets in Europe

Food consumption causes, together with mobility, shelter and the use of electrical products, most life cycle impacts of consumption. Meat and dairy are among the highest contributors to environmental impacts from food consumption. A healthier diet might have less environmental impacts. Using the E3IOT environmentally extended input output database developed in an EU study on Environmental Impacts of Products (EIPRO), this paper estimates the difference in impacts between the European status quo and three simulated diet baskets, i.e. a pattern according to universal dietary recommendations, the same pattern with reduced meat consumption, and a ‘Mediterranean’ pattern with reduced meat consumption. Production technologies, protein and energy intake were kept constant. Though this implies just moderate dietary shifts, impact reductions of up to 8% were possible in reduced meat scenarios. The slightly changed food costs do not lead to significant first order rebound effects. Second order rebounds were estimated by applying the CAPRI partial equilibrium model. This analysis showed that European meat production sector will most likely respond by higher exports to compensate for losses on the domestic meat market. Higher impact reductions probably would need more drastic diet changes.     

企业退出出口市场行为与企业的经营表现——基于倾向评分匹配的经验分析

文章运用倾向评分匹配方法分析了企业退出出口市场行为对其经营表现的影响。研究结果表明,经营表现越差的出口企业退出出口市场的概率越大;企业退出出口市场行为对企业经营表现的影响主要体现在影响就业增长和产出增长方面,而对劳动生产率的影响总体不显著。具体表现为,企业退出出口市场会对其就业增长和产出增长产生持续的显著负向作用,这说明我国国内需求尚不足以使企业退出出口市场后继续保持退出前的就业增长率和产出增长率。因此,在提倡出口转内销的同时需注重提高出口企业在国际市场竞争中的存活率。     

技术进步对产业增长作用的测度——基于北京高技术产业的实证研究

在分析技术进步对产业增长作用的传统理论和方法的基础上,将技术进步导致的规模效应置于技术进步效应中,并把技术进步效应分解为技术进步的纯产出效应和规模效应。构建了修正的DEA-Malmquist指数模型,基于1998—2008年全国22个地区高技术产业五大行业的面板数据,对北京高技术产业进行了实证分析,得出了北京高技术产业及五大行业的技术进步效应值及其分解值,验证了本文提出的理论和方法的科学合理性。     

陕西省粮食生产能力及影响因子分析

按照我国省域粮食产销状况排序,陕西省属于粮食产销平衡区。然而陕西省绝大多数年份的粮食生产量不能满足本省粮食消费量的刚性增长。文章通过对1980-2010年陕西省粮食总产量和单产量的变动趋势和影响因子进行分析,认为耕地面积减少、气候变化和单位面积化肥施用量是影响陕西省粮食产量的主要因素,在此基础上提出政策性建议。     

政府生产性支出对中国经济的影响:产出效应还是增长效应?

通过验证发现,政府生产性支出对我国经济的影响只有产出效应,没有增长效应.以基本建设支出、财政科学支出与财政教育支出对产出的影响进行静态和动态分析,结果表明:(1)当只考虑生产性支出的水平影响时,财政科学支出与财政教育支出的正向作用较为明显;而当考虑到生产性支出的滞后项时,三项支出都具有明显的正向作用;(2)在静态分析中...