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1.
随着信息技术的发展,数字经济已经成为经济增长的"新引擎"。但由于缺乏权威的产业统计分类标准,学者们一直面临"数字经济研究缺乏数字依据"的尴尬境地。文章基于国家统计局公布并实施的《数字经济及其核心产业统计分类(2021)》中的分类标准,对各省份统计年鉴的数据进行重新整理,利用熵权法构建数字经济发展指数,测度了我国30个省份的数字经济发展水平,分析了各省份数字经济发展的差异以及时空特征。研究发现,2009—2019年我国数字经济产业发展迅猛,各项子产业都取得了长足的进步。相比较而言,数字要素驱动业发展速度略低于其他三个子产业;数字经济发展存在着明显的区域不平衡。东中部地区的数字经济发展状况明显优于西部地区,南方优于北方,而且区域不平衡有持续扩大趋势。 相似文献
2.
文章的特色和理论意义在于,尝试量化"一带一路"沿线18个省份"一带一路"相关政策文件,以设计政策效力、政策措施与政策保障的评判要点为基础,确定政策措施强度和政策保障强度.细致讨论"一带一路"文件的政策强度与经济开放度提升之间的关系,并讨论该关系在东西部地区的差异以及政策保障强度在政策措施强度与经济开放度关系之中的调节效应.研究发现:政策措施强度能够正向促进省域经济开放度的提升;在经济开放度高于10%的省份中,政策保障强度正向调节政策措施强度与经济开放度提升之间的关系,政策措施强度和政策保障强度之间存在互补关系;政策措施强度中资金融通强度对于沿线省域经济开放度的提升有着最显著的正向影响,政策沟通强度对于沿线省域经济开放度的提升影响不显著;政策措施强度对省域经济开放度的提升存在地区差别,西部地区更注重"一带一路"倡议所带来的机会.建议:"一带一路"沿线省份在政策设计上,不仅要对政策沟通、设施联通、贸易畅通、资金融通和民心相通等内容作出合理规划和布局,还应对保障机制作出可操作性的安排. 相似文献
3.
西方城市人口增长的文献在过去几十年间经历了"文化转向":工作就业等经济因素让位于文化休闲等消费因素成为人口流动的主要吸引力。城市人口流动的"文化转向"在中国同样明显,尤其表现在大学毕业生群体当中。城市在大学毕业生眼中已经不再是简单的工作地点。城市是学习机器,是娱乐机器,越来越多的大学毕业生在城市流动选择中追求价值实现,表达自我,体验生活和分享梦想。青年大学毕业生是城市人口流动最活跃的群体。他们的城市流动目的地选择直接影响到城市社会、文化经济的发展。 相似文献
4.
Michael Greenberg Anthony Cox Vicki Bier Jim Lambert Karen Lowrie Warner North Michael Siegrist Felicia Wu 《Risk analysis》2020,40(Z1):2113-2127
As part of the celebration of the 40th anniversary of the Society for Risk Analysis and Risk Analysis: An International Journal, this essay reviews the 10 most important accomplishments of risk analysis from 1980 to 2010, outlines major accomplishments in three major categories from 2011 to 2019, discusses how editors circulate authors’ accomplishments, and proposes 10 major risk-related challenges for 2020–2030. Authors conclude that the next decade will severely test the field of risk analysis. 相似文献
5.
6.
Integrating Operational and Organizational Aspects in Interdependent Infrastructure Network Recovery
Camilo Gomez Andrs D. Gonzlez Hiba Baroud Claudia D. Bedoya‐Motta 《Risk analysis》2019,39(9):1913-1929
Managing risk in infrastructure systems implies dealing with interdependent physical networks and their relationships with the natural and societal contexts. Computational tools are often used to support operational decisions aimed at improving resilience, whereas economics‐related tools tend to be used to address broader societal and policy issues in infrastructure management. We propose an optimization‐based framework for infrastructure resilience analysis that incorporates organizational and socioeconomic aspects into operational problems, allowing to understand relationships between decisions at the policy level (e.g., regulation) and the technical level (e.g., optimal infrastructure restoration). We focus on three issues that arise when integrating such levels. First, optimal restoration strategies driven by financial and operational factors evolve differently compared to those driven by socioeconomic and humanitarian factors. Second, regulatory aspects have a significant impact on recovery dynamics (e.g., effective recovery is most challenging in societies with weak institutions and regulation, where individual interests may compromise societal well‐being). And third, the decision space (i.e., available actions) in postdisaster phases is strongly determined by predisaster decisions (e.g., resource allocation). The proposed optimization framework addresses these issues by using: (1) parametric analyses to test the influence of operational and socioeconomic factors on optimization outcomes, (2) regulatory constraints to model and assess the cost and benefit (for a variety of actors) of enforcing specific policy‐related conditions for the recovery process, and (3) sensitivity analyses to capture the effect of predisaster decisions on recovery. We illustrate our methodology with an example regarding the recovery of interdependent water, power, and gas networks in Shelby County, TN (USA), with exposure to natural hazards. 相似文献
7.
Rachael Piltch‐Loeb Brian J. Zikmund‐Fisher Victoria A. Shaffer Laura D. Scherer Megan Knaus Angie Fagerlin David M. Abramson Aaron M. Scherer 《Risk analysis》2019,39(12):2683-2693
Perceptions of infectious diseases are important predictors of whether people engage in disease‐specific preventive behaviors. Having accurate beliefs about a given infectious disease has been found to be a necessary condition for engaging in appropriate preventive behaviors during an infectious disease outbreak, while endorsing conspiracy beliefs can inhibit preventive behaviors. Despite their seemingly opposing natures, knowledge and conspiracy beliefs may share some of the same psychological motivations, including a relationship with perceived risk and self‐efficacy (i.e., control). The 2015–2016 Zika epidemic provided an opportunity to explore this. The current research provides some exploratory tests of this topic derived from two studies with similar measures, but different primary outcomes: one study that included knowledge of Zika as a key outcome and one that included conspiracy beliefs about Zika as a key outcome. Both studies involved cross‐sectional data collections that occurred during the same two periods of the Zika outbreak: one data collection prior to the first cases of local Zika transmission in the United States (March–May 2016) and one just after the first cases of local transmission (July–August). Using ordinal logistic and linear regression analyses of data from two time points in both studies, the authors show an increase in relationship strength between greater perceived risk and self‐efficacy with both increased knowledge and increased conspiracy beliefs after local Zika transmission in the United States. Although these results highlight that similar psychological motivations may lead to Zika knowledge and conspiracy beliefs, there was a divergence in demographic association. 相似文献
8.
Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non‐stationary Volatility 下载免费PDF全文
In this paper, we consider the deterministic trend model where the error process is allowed to be weakly or strongly correlated and subject to non‐stationary volatility. Extant estimators of the trend coefficient are analysed. We find that under heteroskedasticity, the Cochrane–Orcutt‐type estimator (with some initial condition) could be less efficient than Ordinary Least Squares (OLS) when the process is highly persistent, whereas it is asymptotically equivalent to OLS when the process is less persistent. An efficient non‐parametrically weighted Cochrane–Orcutt‐type estimator is then proposed. The efficiency is uniform over weak or strong serial correlation and non‐stationary volatility of unknown form. The feasible estimator relies on non‐parametric estimation of the volatility function, and the asymptotic theory is provided. We use the data‐dependent smoothing bandwidth that can automatically adjust for the strength of non‐stationarity in volatilities. The implementation does not require pretesting persistence of the process or specification of non‐stationary volatility. Finite‐sample evaluation via simulations and an empirical application demonstrates the good performance of proposed estimators. 相似文献
9.
Piper Coutinho‐Sledge 《Gender, Work and Organization》2015,22(4):375-389
The gendering of forestry as a distinctly masculine profession has led to a wide range of negative outcomes, including legal actions concerning discrimination, poor public perceptions and poor environmental records. Forestry organizations have addressed these concerns by attempting to increase the number of women in the profession. These efforts have been largely ineffective. Using the case of community‐based forestry, I argue that when we begin to consider not only women but also normatively feminine values as agents of change, our understanding of the profession of forestry may be rejuvenated. 相似文献
10.