加强环境审计促进生态建设

在人类经济高速发展创造着现代文明的同时，其生态环境却遭受着前所未有的蹂躏与破坏，环境污染日益加剧。如何从制造污染的企业外部和内部同时寻求治理监督环境污染的有力措施，这是本文的意义所在。本文从环境审计对生态建设的作用入手，分析现阶段我国环境问题和环境审计现状，并探讨环境审计的程序与方法，以促进我国的生态建设。     

效益审计标准的选择和确定--以某单位国家建设项目设备效益审计为案例研究

在效益审计中,选择和确定合适的审计(评价)标准是非常重要的环节。它是保证效益审计质量的一个必要条件,也是审计人员提出审计意见、做出恰当审计结论的基本依据。本文以某单位国家建设项目设备效益审计作为案例,结合《世界审计组织效益审计指南》,对审计标准问题进行了分析和探讨。最后,就我国政府审计机关在效益审计中如何选择和确定“合适的”审计标准提出几条建议,以期抛砖引玉。     

Classical meets modern in the IDEA protocol for structured expert judgement

Expert judgement is pervasive in all forms of risk analysis, yet the development of tools to deal with such judgements in a repeatable and transparent fashion is relatively recent. This work outlines new findings related to an approach to expert elicitation termed the IDEA protocol. IDEA combines psychologically robust interactions among experts with mathematical aggregation of individual estimates. In particular, this research explores whether communication among experts adversely effects the reliability of group estimates. Using data from estimates of the outcomes of geopolitical events, we find that loss of independence is relatively modest and it is compensated by improvements in group accuracy.     

反腐倡廉环境下创新国有企业领导人员经济责任审计内容探讨

反腐倡廉环境下创新国有企业领导人员经济责任审计内容是一项新的课题。本文对探索创新国有企业领导人员经济责任审计内容的必要性和我国法律规定的国有企业领导人员经济责任审计内容进行了综述，并根据审计实践，提出了“探索开展国有企业绩效审计”等5项审计内容，对创新国有企业领导人员经济责任审计内容进行了探讨，并针对目前创新国有企业领导人员经济责任审计内容面临的困难提出了健全绩效审计法律法规和评价指标、完善企业增资扩股行为的法律法规、加强对基层审计人员的培训学习等3条对策。     

Explaining Americans’ responses to dread epidemics: an illustration with Ebola in late 2014

Despite several surveys of Americans’ responses to Ebola as people were treated or died in the US in the late fall of 2014, little was published on factors that might affect these responses, despite their value for informing future management and communication regarding outbreaks of novel infectious diseases. This explanatory aim was the goal of a national quota online sample of Americans (n = 815) who reported their beliefs and attitudes about Ebola in early December, three weeks after the second US death. Responses were shaped particularly by risk judgments and concern, but also by available Ebola information (from news attention or residence in a state with Ebola experience), political cues (partisanship, ideology), and demographics. Judgments of personal risk and US/global risk were shaped by largely different factors; for example, knowledge of Ebola exposure routes exhibited negative and positive signs, respectively. News attention was associated with both positive (e.g. trust in US Centers for Disease Control & Prevention [CDC]; knowledge) and negative (e.g. US/global risk perception; concern about a US outbreak and family member infection) reactions. Findings suggest challenges for future health communication.     

工程结算审核的管理和控制

为了确保工程施工进度与质量安全,就必须对整个工程成本进行严格地控制,并在整个工程或者分项工程完成后积极做好工程结算审核工作,从而强化工程结算审核的合理性与可靠性。但是由于工程结算审核需要在大量事实和依据上进行,使得审核过程出现了诸多问题,对预结算的准确有效性造成了严重的影响。本文就工程结算审核的管理和控制进行了分析。     

“Money can’t buy me land”: Foreign land ownership regime and public opinion in a transition society

In recent years, as part of the broader policies of economic liberalization, the sale of agricultural land to foreign citizens has attracted considerable political, social and media attention in transition societies. The regime of land ownership in Georgia has evolved from the complete restriction of foreign acquisition in the beginning of the 1990s, to the unrestricted sale of land to foreign citizens from 2010 onwards. An analysis of newly-available data from International Social Survey Programme’s (ISSP) National Identity module suggests that respondents in Georgia, along with Russia, hold the most negative attitudes toward selling land to foreigners compared to other countries. I hypothesize that this is the result of a confluence of factors such as the communist legacy, historical memory, rural nationalism, agricultural underdevelopment and inequality. The quantitative part of this article tests socio-demographic, geographic, ideological, and identity-based explanations of within-country variation in attitudes toward the purchase of land by foreigners. The results suggest that socio-demographic and geographic variables such as respondents’ age and regional belonging explain some variance in the dependent variable, but that the major effects stem from individuals’ perceptions of economic protectionism, xenophobia, and ethnic national identity.     

Labor Market Effects of Spatial Licensing Requirements: Evidence from CPA Mobility

We exploit the staggered introduction of CPA Mobility provisions in the United States to study the effects of spatial licensing requirements on the labor market for accounting professionals. Specifically, we examine whether the removal of licensing‐induced geographic barriers affects CPA wages and employment levels, as well as the pricing and quality of professional services. We find that, subsequent to the adoption of CPA Mobility provisions, wages of accounting professionals decrease, whereas employment levels are unaffected. The documented wage effect stems from smaller CPA firms, is more pronounced for CPAs holding senior positions, and persists over time. We also find that service prices decline and that this effect is concentrated in local CPA firms. Moreover, we document that the increased wage and price pressure is not associated with deteriorating service quality. Collectively, our results suggest that the removal of occupational licensing barriers has sizable effects on labor supply and service prices. Our findings inform the current regulatory debate on occupational licensing.     

Brexit: Tracking and disentangling the sentiment towards leaving the EU

On 23 June, 2016, the UK held a referendum to decide whether to stay in the European Union or leave. The uncertainty surrounding the outcome of this referendum had major consequences for public policy, investment decisions, and currency markets. We discuss some of the subtleties involved in smoothing and disentangling poll data in light of the problem of tracking the dynamics of the intention to Brexit, and propose a multivariate singular spectrum analysis method that produces trendlines on the unit simplex. The trendline yield via multivariate singular spectrum analysis is shown to resemble that of local polynomial smoothing, and singular spectrum analysis presents the nice feature of disentangling the dynamics directly into components that can be interpreted as changes in public opinion or sampling error. The merits and disadvantages of some different approaches for obtaining smooth trendlines on the unit simplex are contrasted, in terms of both local polynomial smoothing and multivariate singular spectrum analysis.     

Systemic financial risk early warning of financial market in China using Attention-LSTM model

We propose an Attention-LSTM neural network model to study the systemic risk early warning of China. Based on text mining, the network public opinion index is constructed and used as a training set to be incorporated into the early warning model to test the early warning effect. The results show that: (i) the network public opinion is the non-linear Granger causality of systemic risk. (ii) The Attention-LSTM neural network has strong generalization ability. Early warning effects have been significantly improved. (iii) Compared with the BP neural network model, the SVR model and the ARIMA model, the LSTM neural network early warning model has a higher accuracy rate, and its average prediction accuracy for systemic risk indicators has been improved over short, medium and long terms. When the attention mechanism is included in the LSTM, the Attention-LSTM neural network model is even more accurate in all the cases.