Resource Updates

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03/14/2024
CEIBS Library
CEIC 经济数据
  • Database Link 数据库链接 (Please log in with your CEIBS account. 请用中欧账号登录) This link opens in a new window
  • Database Link 数据库链接 (Please log in with your CEIBS account. 请用中欧账号登录) This link opens in a new window
  • Get Help 更多帮助 (Please log in with your CEIBS account to view. 请用中欧账号登录后查看) This link opens in a new window

Explore accurate macro & micro economic data.

One full year after China's reopening, domestic tourism during the Spring Festival saw robust rebound, which is set to provide welcome boost to the economic activity and send positive cross-border signals about the recovery of the second largest global economy, as developed markets are hoping for a soft landing, while emerging economies are facing brighter outlook in 2024.

The eight-day long Lunar New Year holidays in China, which began on February 10th, saw confident, double-digit increases of both number of tourists (34%) and tourism revenue (47.3%) compared to the previous year. More importantly, domestic tourism recovered above pre-pandemic levels, as tourists were 19% more than in 2019, while revenue posted a 7% increase over the Spring Festival during 2019.

Higher-frequency data available within CEIC suggests that the momentum is likely to be sustained after the holidays. The mobility index by AutoNavi, measuring daily highway traffic in between various Chinese cities stays above the levels in the last four years, as of late February.
 


 

  • China Spring Festival Tourism Finally Recovers Above Pre-Pandemic Levels
  • Highway Traffic Mobility Index: Beijing - Shanghai
  • Highway Traffic Mobility Index (Mobility levels in between China's Tier 1 Cities, monthly average)
  • Total Operated Flights, Weekly (Last Five Years)

Please click  Database Link 数据库链接 (Please log in with your CEIBS account. 请用中欧账号登录) or Database Link 数据库链接 (Please log in with your CEIBS account. 请用中欧账号登录) to login CEIC first and then view data and chats >> 

03/13/2024
CEIBS Library
SSCI (Social Sciences Citation Index)
  • Database Link 数据库链接 (Please log in with your CEIBS account. 请用中欧账号登录) This link opens in a new window
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Discover the world’s most influential social sciences journals with Social Sciences Citation Index.

In response to a lot of customer feedback regarding how Web of Science manage and label Early Access publications, some changes are made to how to identify and label items indexed as “Early Access”. Early Access publications will display dual document type and maintain Early Access year alongside Final Publication year in Web of Science.

•  Quick Filter:

Using the “Quick Filter” to find Early Access publications will find all items indexed as Early Access even if they have been uppdated with final publication details.

•  Dual document type:

Early Access items will maintain their Early Access document type even after these items have been updated with final publication details.

•  Dates:

Both “Early Access date” and “Publication date” will be listed on the full record for items that have been indexed as Early Access and have been updated with final publication details.


When exporting data from the WoS Core Collection, it will include all currently available information for the article.

•  EA = Online publication date
•  PD = Publication date
•  PY = Publication year

If the article has not been formally published, it will only have an online publication date.

•  EA = Online publication date
•  PD = Online publication date
•  PY = Online publication date

03/12/2024
CEIBS Library
Open Knowledge Repository
  • Database Link 数据库链接 (Open Access 开放获取) This link opens in a new window

World Bank's official open access repository

World Bank Open Data
  • Database Link 数据库链接 (Open Access 开放获取) This link opens in a new window

Free and open access to global development data.

 

🔻 World Bank Open Knowledge Repository (OKR)

The World Bank Open Knowledge Repository (OKR) is the World Bank’s official open access repository for its research outputs and knowledge products.

The OKR is built on DSpace, the open source platform heavily used in the open access community, powering over 2,000 open repositories, and is interoperable with other repositories. It supports optimal discoverability and re- usability of the content by complying with Dublin Core Metadata Initiative (DCMI) standards. All OKR metadata is exposed through the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) and through a REST API.

It contains:

•  Annual Reports and Independent Evaluation Studies from World Bank Group;
•  Books (including flagship publications, academic books and practitioner volumes) published by the World Bank Group;
•  All World Development Reports (WDRs) plus recent WDR background papers;
•  Journal articles published in World Bank Economic Review (WBER) and World Bank Research Observer (WBRO);
•  Accepted manuscripts of Bank-authored journal articles from selected external publishers (after an embargo period if applicable);
•  Metadata and links to Bank-authored external journal articles;
•  Serial publications (typically data-intensive outlook reports);
•  Policy Research Working Papers (PRWP);
•  Selected other papers of high research quality;
•  Economic and Sector Work (ESW) studies—a series of analytical reports prepared by Bank staff;
•  Knowledge Notes, providing short briefs that capture lessons of experience from Bank operations and research;
•  The latest Country Opinion Surveys done in client countries for feedback on World Bank Group activities.
•  Selected translated titles.

 


🔻 World Bank Open Data 

The new site of World Bank Open Data is designed to make World Bank data easy to find, download, and use. You can use the search box at the top of the homepage to look for indicator names, countries, and topics. You can look at combinations of indicators and countries or multiple countries by adding additional items in the search box. However, you can only display one indicator at a time. 

Data pages allow the option to download all displayed data in bulk.  Look for the “Download” button on any data page; it will either be just to the right or just below the main chart.

You can also Browse by Country:

•  Region
•  Income levels
•  Lending Groups
•  Demographic Dividend Groups
•  Small States
•  Other country groups

Or Browse by Indicator:

•  Agriculture & Rural Development
•  Aid Effectiveness
•  Climate Change
•  Economy & Growth
•  Education
•  Energy & Mining
•  Environment
•  External Debt
•  Financial Sector
•  Gender

•  Health
•  Infrastructure
•  Poverty
•  Private Sector
•  Public Sector
•  Science & Technology
•  Social Development
•  Social Protection & Labor
•  Trade
•  Urban Development

More data can be found:

•   DataBank >>

Data displayed on the site of World Bank Open Data are a subset of those available in the World Bank’s DataBank, which contains extensive collections of time series data. The DataBank has advanced functions for selecting and slicing the datasets, performing customized queries and data downloads, and creating charts and other visualizations.

Access data through Web API:

The Data API is a way for web sites and other tools to access data directly. This is the interface of choice for creating custom data visualizations, live combinations with other data sources (mashups), and more. data.worldbank.org is built using data through the Data API. See Developer Section >>

•   Data catalog >>

A comprehensive listing of data and datasets published by the World Bank is available through the Data Catalog. The Catalog contains all the datasets in DataBank, plus many other useful datasets, including some sub-national and raw data from surveys. 

•   Micro data >>

The World Bank’s Microdata Library facilitates access to microdata collected through sample surveys of households, business establishments or other facilities. These microdataprovide information about people living in developing countries, their institutions, their environment, their communities and the operation of their economies. Many of these datasets are available as open data; check the terms of use associated with each dataset.

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