使用与引用

Usage & Citation

中文
English

一、数据获取

本项目提供以下公开数据资源,供学术研究和信息参考之用:

1. CA-TPU月度指数数据

本项目提供2013年1月至今的月度CA-TPU指数数据,包含原始指数值及三个月移动平均(MA3)。数据以CSV格式提供下载,同时在首页提供可交互的折线图表,支持时间区间筛选、缩放和平移。

2. 每日新闻采集统计

为便于进一步分析和数据审计,本项目公开了最近一万条每日统计数据,按日期和国家维度汇总各国新闻总量、OR命中数、AND命中数及相应比率。数据可在"每日统计"页面在线查询和下载。

3. 逐条新闻匹配数据

本项目还公开了最近一万条逐条新闻的关键词匹配结果,包含每篇新闻的发布日期、国家、来源网站、三类关键词(T/P/U)的匹配详情及OR/AND命中标记。数据可在"原始数据"页面在线查询和下载。

出于内容合规和知识产权保护的考虑,公开数据中不包含新闻报道的标题、原文链接和全文内容。新闻的原始文本版权归属于各发布媒体,本项目仅对文本进行关键词匹配分析并公开匹配结果,不对新闻原文进行再分发。如因学术研究确需查阅特定新闻的原始内容,建议直接访问相关媒体网站检索。

4. 完整历史数据与联络

如因学术研究需要获取完整历史数据(含2009年起的全量新闻数据库,超过308万篇),或有学术合作及其他事宜需要沟通,请通过联系我们页面留言,我们会尽快回复。

二、引用规范

使用本项目数据或报告时,请按以下规范进行引用。规范的引用有助于学术共同体追溯数据来源,也是对研究团队工作的尊重。

引用指数数据(中文):

CA-TPU指数项目组. 中亚贸易政策不确定性指数(CA-TPU)[DB/OL]. 新疆大学经济与管理学院, 2026. https://catpu.caiees.cn/

引用指数数据(英文):

CA-TPU Index Project. (2026). Central Asia Trade Policy Uncertainty Index. School of Economics and Management, Xinjiang University. https://catpu.caiees.cn/

引用月度报告(中文):

CA-TPU指数项目组. 中亚贸易政策不确定性指数(CA-TPU)月度报告:2026年3月[R]. 新疆大学经济与管理学院, 2026. https://catpu.caiees.cn/

引用月度报告(英文):

CA-TPU Index Project. (2026). CA-TPU Index Monthly Report: March 2026 (Technical Report No. CA-TPU-2026-03). School of Economics and Management, Xinjiang University. https://catpu.caiees.cn/

BibTeX格式:

@techreport{catpu2026, author = {{CA-TPU Index Project}}, title = {Central Asia Trade Policy Uncertainty Index}, institution = {School of Economics and Management, Xinjiang University}, year = {2026}, url = {https://catpu.caiees.cn/} }

三、使用许可

本项目发布的指数数据、统计数据和月度报告采用知识共享署名4.0国际许可协议(CC BY 4.0)进行许可。

您可以自由地:

  • 将数据用于学术研究、教学活动和政策分析
  • 在论文、报告和演示材料中引用指数数据和图表
  • 对数据进行再加工和衍生分析
  • 在符合许可条件的前提下进行分享和再传播

但须遵守以下条件:

  • 署名:必须注明数据来源(CA-TPU Index Project, Xinjiang University),并提供本站链接
  • 标注修改:如果您对数据进行了修改或再加工,必须明确标注
  • 不得暗示背书:不得以任何方式暗示本项目或新疆大学为您的产品、服务或观点提供背书
特别声明:CA-TPU指数是基于新闻文本挖掘的学术研究成果,旨在为中亚贸易政策环境提供量化参考。指数数据不构成任何投资建议或商业决策依据,亦不适宜作为商业投资的主要参考指标。任何涉及商业经营、投资决策、财务规划等事项,使用者必须结合专业机构的意见和多元信息来源审慎判断,不应仅凭本指数做出决策。因使用本指数数据而产生的任何直接或间接损失,本项目团队和新疆大学不承担任何责任。

四、项目声明

CA-TPU指数是一项独立的学术研究项目,由新疆大学经济与管理学院张立杰教授团队发起并主持,属于非营利性质的基础研究工作。本项目未接受来自中亚国家的任何政府机构、企业实体、自然人或其他潜在研究对象的资助或捐赠。项目的研究设计、数据采集、指数编制和结论发布完全独立,无任何利益相关方的影响。项目的导师、研究人员及致谢名单请参阅团队页面

五、相关学术成果

基于CA-TPU指数的学术论文正在准备中,发表后将在此处更新。

如果您的研究使用了CA-TPU指数数据并已公开发表,欢迎通过联系我们页面告知我们,我们将在此处予以收录展示。

1. Data Access

This project provides the following publicly available data resources for academic research and informational reference:

1.1 CA-TPU Monthly Index Data

Monthly CA-TPU index data is available from January 2013 to the present, including raw index values and the three-month trailing moving average (MA3). Data can be downloaded in CSV format. An interactive line chart is provided on the homepage, supporting custom date range selection, zooming, and panning.

1.2 Daily News Collection Statistics

To facilitate further analysis and data auditing, the project publishes the most recent 10,000 daily statistical records, aggregated by date and country, showing total news volume, OR hits, AND hits, and corresponding ratios. These can be queried and downloaded on the "Daily Stats" page.

1.3 Article-Level Keyword Matching Data

The project also publishes the most recent 10,000 article-level keyword matching results, including publication date, country, source outlet, detailed matching results for each keyword category (T/P/U), and OR/AND flags. These can be queried and downloaded on the "Raw Data" page.

For content compliance and intellectual property protection, the public datasets do not include news article headlines, original URLs, or full-text content. The original text copyrights belong to the respective media outlets. This project only performs keyword matching analysis on the texts and publishes the matching results — it does not redistribute the original news content. Researchers who need to access specific original articles are advised to search directly on the relevant media websites.

1.4 Full Historical Data & Contact

For academic research requiring full historical data (the complete news database dating back to 2009, containing over 3.08 million articles), or for academic collaboration and other inquiries, please leave a message on the Contact page and we will respond promptly.

2. Citation Guidelines

When using data or reports from this project, please cite according to the following guidelines. Proper citation helps the academic community trace data sources and acknowledges the research team's work.

Citing the index data:

CA-TPU Index Project. (2026). Central Asia Trade Policy Uncertainty Index. School of Economics and Management, Xinjiang University. https://catpu.caiees.cn/

Citing a monthly report:

CA-TPU Index Project. (2026). CA-TPU Index Monthly Report: March 2026 (Technical Report No. CA-TPU-2026-03). School of Economics and Management, Xinjiang University. https://catpu.caiees.cn/

BibTeX format:

@techreport{catpu2026, author = {{CA-TPU Index Project}}, title = {Central Asia Trade Policy Uncertainty Index}, institution = {School of Economics and Management, Xinjiang University}, year = {2026}, url = {https://catpu.caiees.cn/} }

3. License

The index data, statistical data, and monthly reports published by this project are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

You are free to:

  • Use the data for academic research, teaching, and policy analysis
  • Cite index data and charts in papers, reports, and presentations
  • Reprocess and create derivative analyses from the data
  • Share and redistribute under the terms of the license

Under the following conditions:

  • Attribution: You must credit the source (CA-TPU Index Project, Xinjiang University) and provide a link to this website
  • Indicate changes: If you modify or reprocess the data, you must clearly indicate so
  • No endorsement: You may not imply that this project or Xinjiang University endorses your products, services, or views
Important Disclaimer: The CA-TPU Index is an academic research product based on news text mining, intended to provide a quantitative reference for the Central Asian trade policy environment. The index data does not constitute investment advice or a basis for commercial decisions, nor is it suitable as a primary reference for commercial investment. Any decisions involving business operations, investment, or financial planning must be made prudently, combining professional institutional advice and multiple information sources. Decisions should never be based solely on this index. The project team and Xinjiang University bear no responsibility for any direct or indirect losses resulting from the use of this index data.

4. Project Statement

The CA-TPU Index is an independent academic research project initiated and led by Prof. Zhang Lijie's team at the School of Economics and Management, Xinjiang University. It is a non-profit, fundamental research endeavor. This project has not received funding or donations from any government agencies, business entities, natural persons, or other potential research subjects in Central Asian countries. The research design, data collection, index construction, and publication of findings are entirely independent and free from the influence of any external interested parties. For information about the project's supervisors, researchers, and acknowledgements, please refer to the Team page.

5. Related Publications

Academic papers based on the CA-TPU Index are currently in preparation and will be listed here upon publication.

If your research has used CA-TPU Index data and has been publicly published, we welcome you to inform us via the Contact page. We will include and showcase your work here.