Regional tourism competitiveness using the PROMETHEE approach

The competitiveness of tourism destinations is a key issue because it enables destinations to know their position with regard to their competitors. The aim of this paper is threefold: (1) to address the measurement of the competitiveness of tourism destinations at the regional level, (2) to show the suitability of using multi-criteria techniques to measure competitiveness, and (3) to apply the PROMETHEE and GAIA methods within a competitiveness study of eight tourist destinations located in the Northern Region of Portugal. The Metropolitan Area of Porto is the first in the ranking, followed by Cávado and Douro. The results of such an analysis show the comparative strengths and weaknesses of destinations, and allow them to identify their true competitors as well as those other destinations that are most similar to them.     

国家战略视角下鄂湘赣新型显示制造业协同创新研究

结合国家产业发展战略，采用复合系统协同度模型，从技术创新环境支撑能力（E）、技术创新获取能力（G）、技术创新应用能力（A）3个维度设计鄂湘赣新型显示制造业EGA协同创新能力评价指标体系。在此基础上，分别对鄂湘赣三省新型显示制造业的序参量变量有序度、省域内协同创新能力、省域间协同创新能力进行测评，并进行全面深入分析，最后提出对策建议。     

乌蒙山片区绿色减贫指数分析

[目的]通过分析2012年和2014年乌蒙山片区绿色减贫指数,评价该地区不同年份扶贫效果,这也为今后各项扶贫政策的实施提供理论参考。[方法]文章依据中国绿色减贫指数指标体系,从经济增长绿化度、资源利用与环境保护程度、社会发展能力和扶贫开发与减贫效果4个方面,以人均地区生产总值、单位地区生产总值能耗等27个因子作为评价指标,利用线性加权综合法分析2012年和2014年经济增长绿化度、资源利用与环境保护程度、社会发展能力和扶贫开发与减贫效果指标值,最终确定绿色减贫指数。同时,分析片区内各贫困县波动较大的第三产业增加值比重、单位耕地面积化肥施用量、城乡收入比和农村人均纯收入增长率等指标。[结果]2014年相比2012年,乌蒙山片区经济增长绿化度、资源利用与环境保护程度和扶贫开发与减贫效果指标值上升,社会发展能力指标值降低,绿色减贫指数提高了15.40%。各县第三产业比重均降低,但农村人均纯收入都有提高。四川省10个县单位耕地面积化肥施用量增加。四川省除叙永县和美姑县,贵州省除赤水市,片区内的各贫困县城乡收入比降低。[结论]2014年,乌蒙山区在落实国家扶贫规划上取得了较好的成效。但各县之间差距较大,在今后的扶贫攻坚中,需要从不同地区的实际情况出发,了解贫困类型和贫困程度,考察当地资源储备和环境现状,统筹区域发展。     

经济开放与货币需求:国际金融风险及持币成本的测度

在中国开放经济体制下的基准货币需求模型中,本文将源于国际金融市场的持币成本设为遗漏潜变量,并构建特定的国际金融综合指数(CIFI)作为该潜变量的测度。借鉴机器学习与测度理论,本文利用对数误差修正模型提出了分步降维的CIFI构造算法,构造了长期CIFI和短期CIFI。结果表明,CIFI构造中的无监督降维步骤有助于减少高维金融数据中的冗余信息。实证分析发现,国际机会成本对中国货币需求具有规律性的前导影响,而在2007至2008年国际金融危机期间,央行的应急措施对长期CIFI所代表的非均衡冲击起到明显的阻截效果,对短期CIFI的影响基本是持续不变的。通过综合指数构造与宏观货币需求模型的算法连接,可以利用CIFI的构成结构从前导时间与影响强度两方面追踪冲击货币需求的国际金融风险的具体来源,这为宏观决策者监测国际金融市场提供了颇有规律的信息。在方法论上,本研究为如何利用模型监测国际金融市场影响宏观经济开辟了一条新路。     

Nexus between economic sanctions and inflation: a case study in Iran

Conventional studies have applied dummy variables to analyse the relationship between economic sanctions and inflation while we construct an index which is called Trade-Financial Sanctions (TF index). TF Index is a liner combination of indices which includes trade openness and foreign investment by applying the principal component model. Through the TF index and market exchange rate the impact of economic sanctions on inflation is analysed in the three phases of sanctions; free sanctions, heavy sanctions, and light sanctions. The results illustrate that the TF index decreases inflation when the Iran’s economy experiences free sanctions or light sanctions relative to when the economy is in heavy sanctions. Heavy sanctions create instability in the market exchange rates and widening the gap between the market and the official exchange rates. Furthermore, economic sanctions increase expected inflation among the people and drive higher inflation. Therefore, these results suggest that the government should work more seriously to solve the main obstacles of trade and investment inflows imposed by the economic sanctions.     

构建高校预算绩效评价机制的思考

高校预算绩效评价机制,是高校预算绩效管理的重要制度安排。本文探讨构建高校预算绩效评价机制的思路:采取定性指标与定量指标相结合的方法,设计一套基本支出和项目支出绩效评价指标体系,建立以效果为导向、责任与激励相结合的高校预算绩效管理责任制度。     

From COVID-19 herd immunity to investor herding in international stock markets: The role of government and regulatory restrictions

We study if government response to the novel coronavirus COVID-19 pandemic can mitigate investor herding behaviour in international stock markets. Our empirical analysis is informed by daily stock market data from 72 countries from both developed and emerging economies in the first quarter of 2020. The government response to the COVID-19 outbreak is measured by means of the Oxford COVID-19 Government Response Tracker, where higher scores are associated with greater stringency. Three main findings are in order. First, results show evidence of investor herding in international stock markets. Second, we document that the Oxford Government Response Stringency Index mitigates investor herding behaviour, by way of reducing multidimensional uncertainty. Third, short-selling restrictions, temporarily imposed by the national and supranational regulatory authorities of the European Union, appear to exert a mitigating effect on herding. Finally, our results are robust to a range of model specifications.     

Gender Diversity Index. Measuring persistence

This paper deals with the analysis of the Gender Diversity Index (GDI), which is an Index developed by Solactive AG and is calculated and distributed by this provider. The index tracks the performance of developed world companies that are successfully working towards gender diversity as part of their CSR (Corporate Social Responsibility) strategy, and we measure its degree of persistence by using fractional integration or I(d) techniques. Using daily data from 8 December 2010 until 16 December 2020, the results indicate that the series is highly persistent with an order of integration lower than, though very close to 1. However, an interesting result is obtained by estimating d recursively across subsamples. The differencing parameter moves around 0.92 until 23 March 2020, with the series displaying a very small degree of mean reversion behaviour until that date. After that period, however, we observe an increase in the estimate of d, which stabilizes around 0.97 after 5 May 2020, though now the series presents evidence of a lack of mean reversion, with the shock having a permanent effect on the series. Thus, it seems that the sanitary crisis due to Covid-19 has had a clear effect in the degree of persistence of the GDI data.     

基于人力资本价值链理论的中国城市国际人才集聚研究

城市国际人才争夺战由来已久并不断升级，但针对中国城市国际人才集聚水平、影响因素和差异化政策供给的研究鲜见。以“国际人才集聚指数-国际人才集聚影响因素-国际人才集聚政策”为研究主线，以中国36个主要城市为研究对象，创新性地通过构建人力资本“投入-过程-产出”价值链理论模型进行实证研究，结果表明：中国城市国际人才集聚指数排名分为3个差异显著的层级。其中，第二和第三层级之间无较大差距，但与由北京、上海组成的第一层级相比大幅落后。中国城市国际人才集聚影响因素分化明显，第一类城市的主要影响因素为全球城市品牌文化；第二类城市为创新型经济发展；第三类为外资传统工商业企业和产业集聚。对应地，中国城市国际人才集聚政策供给围绕外资传统工商业国际人才集聚、高端生产性服务业国际人才集聚、多样性和包容性国际人才文化氛围营造存在三大差异化选择。首次构建人力资本“投入-过程-产出”价值链模型，为从机理上深入探索中国各类城市国际人才集聚模式及提升路径奠定了基础。     

中国农村减贫成效测度、分解及影响因素研究——基于分布动态学框架的CFPS数据分析

测算农村减贫成效并考察减贫成效的影响因素对我国打赢"脱贫攻坚战"具有重要的现实意义。本文基于覆盖我国东、中、西和东北四大地区的CFPS调查数据,在Quah(1997)的分布动态学(Distribution dynamics)基础上构建了完整的减贫成效分析框架。首先测算出各地区农村家庭贫困内部状态的Markov转移概率矩阵,并在此基础上构建了可分解的绝对、相对减贫指数,以综合考察各地区的农村减贫成效,随后本文通过首次构造的"条件Markov模型"进一步考察了减贫成效的影响因素。研究结果发现:(1)样本考察期内,我国各地区的农村贫困状况随着时间的积累逐渐变好,贫困发生率均有所下降;(2)减贫过程中仍存在着脱贫又返贫的现象,农村家庭的深度贫困固化问题比轻度贫困问题更加严重,意味着扶贫开发工作正式进入攻坚时期,扶贫难度加大;(3)家庭成年成员特征、家庭特征以及收入类型对农村减贫成效的影响显著性情况存在着时段和区域的异质性。其中,家庭成年成员受教育水平、家庭中是否有成员从事有薪酬的农业劳动、工资性和营业性收入对家庭的贫困状态变动具有更显著的影响。基于此,政府应贯彻落实精准扶贫,将扶贫重点放在中西部地区和处于深度贫困的家庭,另外应再调整和倾斜扶贫资源与扶贫政策,将提高农民受教育水平、增加非农业就业机会作为主要减贫途径,将促进农村工资性和营业性收入增长作为主要的政策倾斜方向。