Statistical Communique of the People's Republic of China on the 1998 National Economic and Social Development

In 1998, facing the complicated and severe domestic and internationaleconomic environment, people of all nationalities, under the correct lead-ership of the Central Party Committee and the State Council, implement-ed a series of policies aiming at increasing input and expanding domesticdemand. Difficulties brought about by the Asian financial crisis and dev-astating flooding were overcome, various reforms were further deepened,and economic growth was promoted, resulting in great achievements at-tracting worldwide attention.

A Multidimensional Analysis of the Relationship between Corporate Social Responsibility and Firm’s Financial Performance—Based on the Data of 78 Listed Companies in 10 years in Henan Province, China

At present, the research on the relationship of corporate social responsibility and economic performance mostly adopts the method of large-scale sampling, but does not distinguish the sample industries and regions, so the relevant research needs to be further analyzed. Based on the 2008-2017 data of 78 listed enterprises in Henan province, the relationship between corporate social responsibility and economic performance in 7 industries is measured by 8 indexes through Arellano-Bond dynamic panel data model. The research shows that the social responsibility of listed enterprises in Henan Province has a lagging impact on the economic performance of enterprises, which has a negative impact on the short-term and a positive impact on the long-term. The common point is that the responsibility of the investor has a positive impact on the economic performance of the enterprise, and other aspects vary greatly due to industry categories. In general, the degree of corporate social responsibility of listed enterprises in Henan Province is relatively low.

A Study on the Application of Statistical Analysis Method of Big Data in Economic Management

This paper analyzes the application value of statistical analysis method of big data in economic management from the macro and micro perspectives,and analyzes its specific application from three aspects such as economic trends,industrial operations and marketing strategies.

Analysis on the Effect of Statistical Method on Modern Economic Society

In recent years,with the continuous development and progress of society,people pay more and more attention to and pay attention to economics.In special modern society,the level of science and technology continues to improve.Accurately grasp the economy and science and technology,in the modern economic society has a certain right and status.Therefore,the status of economics in the modern economic and social status is constantly improving,and statistical methods are a more commonly used tool in economics,statistical methods for the modern economic society has a very important role.The author probes into and analyzes the important role of statistical methods in modern economic society and puts forward the use of statistical methods in modern economic society,hoping to contribute to the development of modern economy and society.

Research and Application of Distributed Data Mining Method for Improving Rural Power Grid Enterprises in Production and Operation Status Evaluation

With the reform of rural network enterprise system,the speed of transfer property rights in rural power enterprises is accelerated.The evaluation of the operation and development status of rural power enterprises is directly related to the future development and investment direction of rural power enterprises.At present,the evaluation of the production and operation of rural network enterprises and the development status of power network only relies on the experience of the evaluation personnel,sets the reference index,and forms the evaluation results through artificial scoring.Due to the strong subjective consciousness of the evaluation results,the practical guiding significance is weak.Therefore,distributed data mining method in rural power enterprises status evaluation was proposed which had been applied in many fields,such as food science,economy or chemical industry.The distributed mathematical model was established by using principal component analysis(PCA)and regression analysis.By screening various technical indicators and determining their relevance,the reference value of evaluation results was improved.Combined with statistical program for social sciences(SPSS)data analysis software,the operation status of rural network enterprises was evaluated,and the rationality,effectiveness and economy of the evaluation was verified through comparison with current evaluation results and calculation examples of actual grid operation data.

Development and Application of Statistical Business Register Guidelines in African Countries

Within the framework of its Statistical Capacity Building Program the African Development Bank （AfDB） is supporting development and improvement of statistical business registers （SBRs） in African countries. As a first step, the AfDB prepared a document entitled Guidelines .for Building Statistical Business Registers in Africa, which describes SBR design, construction, introduction, use and maintenance. To support dissemination, interpretation and effective use of the Guidelines, the AfDB is now sponsoring a programme of review and recommendations for enhancements to SBRs in selected African national statistical offices. The paper outlines the content of the Guidelines and experiences in their application. The views expressed are those of the authors and ,do nnt nec＇e^arilv reflect an official nosition of the AfDB.

面向财经类学生数据素养提升的课程教学探索——以统计学为例

大数据时代的到来和数字经济的发展,使得数据素养对创新创业的正面效应日益显著。财经类学生作为未来经济管理领域的从业者,将在工作中接触大量经济管理数据,急需提升数据素养水平。在明确数据素养概念和内涵基础上,分析了大数据时代以统计学课程为代表的数据类课程面临的挑战,提出了面向现实环境和整合支撑工具的改革思路,并重点从与课程思政结合实现数据伦理教育革新、以现实问题为驱动推动针对性能力训练和面向数据全生命周期实现分析工具整合等角度,对在课程教学中如何提升数据素养进行了探索。

三十年国家社科基金经济学科资助项目统计分析:1991—2021

国家社会科学基金项目是我国人文社科研究领域综合科研竞争力与学术生产力水平的系统体现。从国家宏观经济发展背景出发,选取1991—2021年11916项国家社科基金经济学科资助项目为研究样本,采用文献计量法和内容分析方法。结果发现,国家社科基金资助项目呈现出以下特征:国民经济发展与基金项目资助相辅相成、总体数量呈阶梯性上升、一般项目为主其他为辅、应用经济项目数量超过理论经济但占比数量此消彼长、项目地区东中西部分布不均衡、职称级别申请和立项概率呈现出“金字塔”形状、高级职称学者成为社科基金的主力军。进一步,采用关键词频数统计方法、社会网络分析及语义网络分析方法,结合Python对项目基本信息进行词频统计,通过生成词频统计谱、词云图等方式,分析数字环境导向下的经济高质量发展、乡村振兴、产业创新转型等国家社科基金经济学科资助项目的重点与热点趋势。

我国大型社会调查的经验与反思

大型社会调查既为社会变迁的现状和趋势分析积累了宝贵的数据,又为教学、科研和公共决策提供了重要参考。21世纪以来,大型社会调查在抽样技术、管理模式、访问执行和数据分析等方面不断积累经验,为数据使用者提供高质量的数据库。本文在总结这些经验的基础上,从测量的视角进行反思,以跨情境效度、概念规范性、比照权威统计为切入点,以典型概念的测量和数据分析为例子,从调查方法层面总结调查研究如何推动社会议题的发展。

中国2023年经济形势分析与2024年展望

2023年是全面贯彻党的二十大精神的开局之年,经济恢复中的矛盾和挑战凸显,但也存在许多有利条件。文章基于重要统计指标和统计数据总结了2023年经济运行的基本特点:从生产角度看,经济增速持续恢复;第三产业对经济增长的贡献最大;第二产业对经济增速持续恢复发挥重要作用。从需求角度看,消费需求拉动作用明显提升;投资需求对经济增长的拉动作用明显回落;净出口需求持续走弱,向下拉动经济增长。从收入角度看,居民收入增速稳定回升且快于GDP增速;企业利润降幅持续收窄。从价格角度看,消费领域价格涨幅明显回落;生产领域价格持续下降,降幅由扩大转为收窄。文章深入分析了中国当前经济发展中面临着有效需求不足、社会预期偏弱等挑战,同时经济发展中也具有新经济新动能持续增长、宏观政策空间广等有利条件,并对2024年经济发展进行了展望,初步判断,2024年经济增速在5%左右。

经济统计与碳中和目标的协同推进策略

文章旨在探讨经济统计在碳中和目标实现过程中的作用,并提出协同推进策略,以实现经济发展与达成碳减排目标的双赢局面。首先,从经济统计与碳中和目标的关系入手,分析二者的定义、作用和关联性。其次,阐述经济统计在实现碳中和目标过程中的具体作用,包括数据收集与分析、监测与评估以及政策制定与决策支持等方面。随后,提出经济统计与碳中和目标的协同推进策略,包括数据整合与标准化、制定有效的政策措施以及提供准确的信息与指导。最后,以国际经验与启示为结语,探讨发达国家和新兴经济体在碳中和目标实现过程中的经验教训,以期为中国经济与碳减排协同推进提供一定的启示与借鉴。

《为21世纪经济统计的大数据》述评——“美国官方经济统计基础结构”的演化及启示

关于大数据背景下21世纪的官方经济统计如何改革,2019年美国收入与财富研究会(CRIW)召开了一次专题研讨会,会议论文集《为21世纪经济统计的大数据》收录了15篇论文,其序言是一篇综述性论文,主要概述相关研究背景和15篇论文的主要思想。结合美国官方经济统计基础结构的演化,对该论文集从十个方面展开述评,包括论文集概况、序言的主要内容、核心概念“基础结构”、“数据格局”的演变、大数据与经济统计结合的探索及启示、经济统计变革与时局的高度相关性、大数据与经济统计结合的方法论挑战与推进、推进经济统计中大数据应用的挑战和应对措施、方法论研究的持久性、经济统计与大数据交叉和结合研究的学科意义。

国家信息能力构建与乡镇统计转型——对经济普查制度的历史社会学分析

深化统计管理体制改革,尤其是夯实乡镇统计基础,是推进国家信息能力与治理现代化的重要前提。考察经济普查项目的制度演进,可以发现,其在不同的历史时期依次呈现出群众动员(1950-1982年)、中央发包(1983-2012年)、技术治理(2013年至今)的普查模式;乡镇统计机构的角色也为不同普查模式所形塑,相应呈现出角色缺位、角色冲突、角色失调的困境。随着国家治理对统计数据的需求日益增加,以及普查技术化进程的不断推进,如何让乡镇统计转型跟上国家技术治理的步伐,避免数据治理沦为“技术空转”,显得尤为重要。对此,增强基层统计机构的调查能力与执行灵活性,建设统计基层基础与国家技术化普查相适配的现代化国家统计调查制度,是构建国家信息能力的重要路径。

大数据技术在工业经济统计中的应用研究

以工业经济统计为研究对象,对适用的大数据技术进行探讨,分析了工业经济统计中两点应用实践内容,指出了两个问题,并提出了相对应的应用策略。大数据技术在工业经济统计中具有较大的应用价值,对于提升工作质量具有重要意义。

Foundation Treatment in Urban Underground Engineering Using Big Data Analysis for Smart City Applications

A core element of the sustainable approach to global living quality improvement can now become the intensive and organized usage of underground space.There is a growing interest in underground building and growth worldwide.The reduced consumption of electricity,effective preservation of green land,sustainable wastewater and sewage treatment,efficient reverse degradation of the urban environment,and reliable critical infrastructure management can improve the quality of life.At the same time,technological innovations such as artificial intelligence(AI),cloud computing(CC),the internet of things(IoT),and big data analytics(BDA)play a significant role in improved quality of life.Hence,this study aims to integrate the technological innovations in urban underground engineering to ensure a high quality of life.Thus,this study uses big data analytics to carry out the status quo of foundation treatment and proposes a conceptual framework named the BDA with IoT on urban underground engineering(BI0T-UUE).This framework connects hidden features with various high-level sensing sources and practical predictive model characterization to lower building costs,productive infrastructure management,preparedness for disasters,and modern community smart services.The IoT integration gives an optimum opportunity to work towards the functionality of‘‘digital doubles’’of secret infrastructure,both economical and scalable,with the increasing sophistication and tooling of the underworld.The simulation analysis ensures the highest efficiency and cost-effectiveness of the underground engineering with a value of 96.54%and 97.46%.

Investigating Evacuation Trends and Restoration Processes from Serious Earthquake Damage in Japan

Japan has experienced many large-scale natural disasters, such as earthquakes, typhoons accompanied by heavy rain, and landslides. Based on data for the damage caused by four recent major earthquakes in Japan, we investigate the trends in the number of evacuees and evacuation centres after these disasters as well as the restoration processes for public utilities such as electricity, gas, water, and communication lines. We compare the restoration speeds and trends of the damaged infrastructure systems. We also propose various mathematical models to approximate the recovery trends using both evacuee-related data and damage recovery process data. These results can be used to design natural disaster mitigation policies not only in Japan, but also in other countries. The results of various statistical data analyses and mathematical modelling techniques are applied to provide policy suggestions.

洞庭湖生态经济区智慧城市社会治理研究

本文以洞庭湖生态经济区为研究对象,以社会治理问题为切入点,探讨了基于大数据的智慧城市社会治理路径,并提出了相应的建议。研究发现,湖南湘江新区在智慧城市建设和社会治理方面进行的一些尝试,可以为洞庭湖生态经济区智慧城市社会治理提供借鉴,并提升社会服务的精确度和高效性。洞庭湖生态经济区政府应在加强数据管理和隐私保护、建立开放的数据平台、加强政策法规的制定等方面推动智慧城市社会治理,以解决洞庭湖生态经济区智慧城市社会治理问题,提升社会治理的效能,构建江湖协同治理引领区。