Understanding China’s official statistics

In response to the three influential doubts about government statistics, this article expounds the differences between relevant common economic statistical indicators and the national account indicators that reflect demand structure and national income distribution structure. The comparisons include the following aspects: the differences between household consumption expenditure from household survey and from expenditure-based GDP; the differences between total retail sales of consumer goods and final consumption expenditure from expenditure-based GDP; the differences between government expenditure from government fiscal statistics and government consumption expenditure from expenditure-based GDP; the differences between total investment in fixed assets from investment statistics and gross fixed capital formation from expenditure-based GDP; the differences between inventories and change in inventories from expenditure-based GDP; the differences between foreign trade balance from customs statistics and net exports of goods and services from expenditure-based GDP; and the differences between household disposable income from the household survey and from the Flow of Funds Table, etc. In addition, this article answers the questions proposed by the three doubts correspondingly.     

城市金融吸引力评价系统构建

城市金融吸引力,是一个城市对欲进行区域突破的银行的吸引力。其评价系统主要包括指标体系和研究方法。指标体系可从多维度考察,分成核心指标体系、基本指标体系和扩展指标体系等。研究方法主要分成三类,即指标处理方法、指标权数赋予方法和综合评价方法。运用阀值法进行指标处理,并用修正德尔菲法进行指标权数赋予。在此基础上,可构建综合评价模型,对城市金融吸引力进行等级划分,衡量城市的金融可拓度,为银行决策提供信息。     

企业空白地带考核指标设计

现在的企业处在一个持续变化的竞争环境中,管理者面临着严峻的挑战。众多管理人员为如何提高企业的效率和业绩而绞尽脑汁,他们并不是没有发现问题的存在,而是没能很好地考虑到这些问题对效率的损害以及如何引导员工提高效率。本文对这管理中问题之一的空白地带问题进行探讨,分析其诱因及影响,并提出了一套绩效指标体系。     

投机资本攻击一国汇率的博弈均衡

在经济全球化和金融自由化背景下,国际投机资本的力量快速膨胀,国际游资利用金融杠杆掠夺危机国的财富,使国际金融市场的稳定受到严重挑战.通过构建两个不完全信息下微观主体的博弈模型,揭示国际投机者做出投机攻击决策的依据和博弈中货币当局败北的原因,创造性地提出"抗投机攻击指数"的概念,用以判断一国外汇市场的稳定,为我国在金融市场对外开放过程中采取有效政策搭配、实现内外均衡提供参考.     

关于构建企业集团财务综合评价系统的思考

财务综合评价是以企业集团财务报告反映的财务指标为主要依据，对企业集团的财务状况和经营成果进行评价和剖析，反映企业集团在运营中的利弊得失、财务状况及发展趋势，为改进企业集团财务管理工作和优化经济决策提供重要的财务信息。企业集团可以从财务效益、偿债能力、营运能力、发展能力等四个方面建立全面完整的财务综合评价系统。     

Overcapacities in banking: Measurement,trends and determinants

Global banks face profitability challenges since the global financial crisis. Besides cyclical factors, structural features such as overcapacities have been identified as root causes. While policymakers agree on the need for bank consolidation, there is less consensus on the definition and measurement of overcapacities in banking. This paper contributes by conceptualising and formalising the different dimensions of overcapacities in banking and by constructing a novel measure thereof. In addition, it empirically tests the main determinants of overcapacities in banking from 2006 to 2017 and assesses their relative importance. The results indicate that non-bank competition, the interest rate environment and bank business models are the most important driving factors of banking sector overcapacities. This is because shadow banks, benefitting from regulatory arbitrage, have altered banks’ capacity needs, low rates compressed margins and increased pressure to improve cost efficiencies, and retail-oriented business models have operated extensive branch networks entailing heavy fixed costs.     

矿区生态系统健康评价理论与方法初探

总结国内外有关生态系统健康理论与评价方法的研究现状及最新成果,界定矿区生态系统健康的内涵,分析影响矿区生态系统健康的原因,论述矿区生态系统健康评价指标体系与评价方法。     

经济质量指标与中国经济奇迹实证分析

中国的CDP总量已超过日本,成为世界第二大经济体。可是,GDP只是衡量经济状况的数据指标,而非质量指标。因此,如何设定衡量经济增长状况的质量指标,并以此作为评价中国经济状况的依据,就是一个值得思考的问题。     

新型农村社会养老保险风险评估指标体系的设计与运用

新农保风险评估指标体系能够对新农保制度面临的风险大小进行评估,反映制度的可持续发展状况。从制度建立和运行程序上来看,新农保风险包括制度设计风险、筹资风险、基金投资风险、操作风险和给付风险。从这五个方面选取合适的指标可以建立起新农保风险评估指标体系,然后利用层次分析法可以确定出各指标的权重。新农保风险评估指标体系运用的关键是新农保风险评估标准的确定以及指标实际风险值大小的判定。     

On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population

In light of the creation of the EU Energy Poverty Observatory (EPOV) in January 2018 and the increase in debates on how fuel poverty is measured, we propose a critical analysis of fuel poverty indicators and demonstrate that choosing a given indicator is central to the identification of the fuel-poorpopulation.

First, we conducted an inter-indicator analysis to show how profiles of fuel-poor households vary depending on the indicator selected. We designed a multidimensional approach based on a multiple correspondence analysis and a hierarchical and partitioning clustering analysis to study characteristics of fuel-poor households. We highlight the difficulty of identifying a fuel-poor ‘typical profile’ and show that the composition of the population depends on the choice of the indicator.

Second, we applied an intra-indicator analysis using two objective expenditure-based indicators with thresholds. In particular, we conducted a sensitivity analysis based on a logit model including variables describing household and dwelling characteristics. We show that the profiles of fuel-poor households as well as the drivers of fuel poverty vary considerably with the chosen threshold level.Given these findings, we stress the need to review how we currently rely on conventional fuel poverty indicators to identify target groups and give some recommendations.