叶尔羌河平原绿洲土地生态安全预警演变与时空格局分析

[目的]探索叶尔羌河平原绿洲土地生态安全预警问题及其时空格局变化,旨在为叶尔羌河平原绿洲土地生态安全及可持续利用提供科学的参考依据。[方法]文章运用PSR模型构建预警指标体系,采用熵值法测算各指标权重,对2000—2016年叶尔羌河平原绿洲土地生态安全警情格局进行综合分析,并利用GIS技术分析其2000年、2005年、2010年和2016年土地生态安全空间格局变化,最后运用障碍度模型探索其障碍因子。[结果](1)2000—2016年叶尔羌河平原绿洲土地生态安全综合预警指数总体呈上升态势,生态预警状态由"较不安全"转为"临界安全",警度亦由"重警"变为"中警"。(2)从空间格局来看,空间上各县域土地生态安全水平差异明显,研究初期西部地区土地生态安全状态优于东部地区, 2016年呈现出中部高、东北—西南部低的态势。(3)近17年叶尔羌河平原绿洲各县域土地生态环境状况有所改善,安全状态经历了"极不安全—临界安全—较安全"的发展历程。(4)影响土地生态安全的主要障碍因子包括单位面积耕地农药负荷、人口密度、单位面积耕地化肥负荷、土地垦殖率、人口自然增长率和单位面积耕地地膜负荷等。[结论]研究期间叶尔羌河平原绿洲土地生态安全得到明显的提升与改善,并在良好的方向发展。     

天然气管道在线预警与定位技术应用研究

本文通过对管道光纤预警工作原理、管道光纤预警系统组成等进行阐述,进而在一定程度上为天然气管道在线预警与定位提供参考依据。     

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.     

LABOUR PRODUCTIVITY GROWTH IN THE LONG RUN: JAPAN, 1600–1909

This article examines long-term labour productivity change in Japan from the early seventeenth century to the nineteenth century. We constructed sectoral labour force estimates based on the methodology presented in a previous study, who provided a sectoral GDP series covering the Tokugawa period. Our results show the industrial structure in the Tokugawa period remained relatively stable in comparison with the economy after the Meiji Restoration. Nevertheless, the estimates of sectoral labour productivity suggest expansion of the market economy in Tokugawa Japan influenced the development of industrialisation after the Meiji Restoration.     

I (Could Have) Told You! Early warning indicators and crisis performance of the 12 “old” Euro-countries under the economic crisis 2008–09

The impact of the economic crisis 2008-09 was remarkably different in the 12 “old” member states in the Euro-zone. Five of them were hit especially badly; four of them even had to be bailed out by the rest in one way or another. This paper asks if one could have foretold, based solely on information available prior to 1999, which of the countries then about to enter the Euro-zone would run into economic trouble once a serious economic crisis occurred. The focus is on the (post)predictive power of three kinds of leading indicators: economic indicators, political indicators (indicating quality of governance), and indicators derived from the theory of optimal currency areas (OCA). Since there are more indicators than cases, PLS-regression is used to gauge the (post)predictive strength of the indicators examined. The results show that political indicators have quite some (post)predictive power in this case, whereas indicators derived from OCA-theory do not do too well. Economic indicators perform better than indicators derived from OCA-theory, but generally less well than the political indicators. Thus, the experience from the latest economic crisis in the Euro-zone suggests that more emphasis should be placed on the quality of governance record of a country when deciding if it should be deemed fit to become a member.     

大型装备制造业企业关键设备备件预警策略

近些年,国内一些大型装备制造企业为提高国际竞争力,从国外引进不少先进设备,但当这些设备发生故障需要更换备件却不能得到满足时,给企业造成了不同程度的损失。文章应用设备失效模式与后果分析(MFMEA)方法制定关键设备备件预警策略,有效降低关键设备停机风险及其所造成的损失。     

高校贷款融资风险评估与预警模型研究

创新高校贷款风险评估与预警模型,共筑财务系统"防火墙"。通过深入剖析高校债务风险凸显成因、影响路径及其特殊性,探索建立一套系统性强、涵盖面广、操作性强的风险评估与预警模型。并实证研究分析福建省A高校实施新校区项目所面临贷款规模、风险评估等问题,切合实际提出对策建议,为政府、高校和银行共同防范债务风险提供理论与实证依据,形成防范债务风险合力,促进高校健康、稳定、可持续发展。     

Currency crisis early warning systems: Why they should be dynamic

Traditionally, financial crisis Early Warning Systems (EWSs) have relied on macroeconomic leading indicators when forecasting the occurrence of such events. This paper extends such discrete-choice EWSs by taking the persistence of the crisis phenomenon into account. The dynamic logit EWS is estimated using an exact maximum likelihood estimation method in both a country-by-country and a panel framework. The forecasting abilities of this model are then scrutinized using an evaluation methodology which was designed recently, specifically for EWSs. When used for predicting currency crises for 16 countries, this new EWS turns out to exhibit significantly better predictive abilities than the existing static one, both in- and out-of-sample, thus supporting the use of dynamic specifications for EWSs for financial crises.     

高速公路路面裂缝的养护模式初探

本文结合某省高速公路实际状况,针对高速公路养护过程中出现的一系列新问题,着重阐述了高速公路早期裂缝养护的重要性,并对养护模式改革进行简要的探索。     

Labor Income Taxation,Human Capital,and Growth: The Role of Childcare*

In this paper, we examine the effects of labor income taxation on growth in an overlapping generations model in which schooling and childcare play a role in the production of human capital. We compare such effects with those obtained in a model in which only schooling matters for skill formation. We show that the omission of childcare from the technology of skill formation can bias the results related to the impact of labor income taxation on growth.