Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

China Customs data

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data category: International trade and input-output data · 0 papers in the last 7 days

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Bilateral trade flows, tariffs, customs records and input-output tables.

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Names searched for: China Customs, Chinese customs data, General Administration of Customs

Key findings#

  • From Nov 2023 to Oct 2026, 37 archived papers mentioned China Customs data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2026 (5).
  • China Customs data was mentioned in 5 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #64 of the 246 datasets mentioned.
  • By journal category: Finance (3) and Economics (2).
  • Most of them appeared in International Review of Economics & Finance (2), Review of Economics of the Household (1) and Energy Economics (1).
  • From 2017 to 2026 (so far), China Customs data was mentioned in 42 papers in the tracked journals, most of them in economics (26), finance (9) and management (5).
  • 12 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Australian National University (2), Centre for Economic Policy Research (2) and City University of Hong Kong (2).
  • The journals publishing most of them were International Review of Economics & Finance (7), Journal of International Economics (4) and European Economic Review (2).
  • The most-cited of them is “Evaluation and comparison of the development performances of typical free trade port zones in China” (Transportation Research Part A Policy and Practice, 2018), with 67 citations.
  • Papers use China Customs data most often with Chinese Industrial Enterprises Database (8), National Bureau of Statistics of China (6) and CEPII BACI (5); it has 10 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of….

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
7102037

Papers per year#

2017: 0 papers2018: 2 papers2019: 0 papers2020: 0 papers2021: 1 paper2022: 1 paper2023: 2 papers2024: 6 papers2025: 12 papers2026 (so far): 18 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Economics0100111598
Finance0000000027
Management0000001112
Operations Research0100000000
AI0000000001
All categories020011261218

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Australian National University2
2Centre for Economic Policy Research2
3City University of Hong Kong2
4Dongbei University of Finance and Economics2
5German Institute of Development and Sustainability2
6Hamburg Institute of International Economics2
7Kiel Institute for the World Economy2
8Liaoning University2
9Nanjing Agricultural University2
10Sun Yat-sen University2
Countries with the most papers, since 2023
#CountryPapers
1China23
2United Kingdom9
3Australia6
4Germany4
5Hong Kong3
6Macao2
7Netherlands2
8United States2
9Belgium1
10Canada1
Keywords with the most papers, since 2023
#KeywordPapers
1China10
2state-owned enterprises6
3environmental regulation4
4financial constraints4
5international trade4
6Chinese enterprises3
7Chinese exports3
8exporters3
9private enterprises3
10product quality3

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use China Customs data most often with Chinese Industrial Enterprises Database (8), National Bureau of Statistics of China (6) and CEPII BACI (5); it has 10 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of…. The whole network →

What papers use China Customs data together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
Chinese Industrial Enterprises DatabaseDataset8253.1
National Bureau of Statistics of ChinaDataset641.7
CEPII BACIDataset533.1
CSMARDataset513.0
China Statistical YearbookDataset430.8
UN ComtradeDataset434.3
China City Statistical YearbookDataset364.5
China government work reportsDataset346.8
International Energy Agency (IEA)Dataset33.6
World Input-Output Database (WIOD)Dataset323.7
Papers mentioning China Customs data in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-28Impact of US Entity List sanctions on Chinese firms’ export resilience: Evidence from intermediate import shocksInternational Review of Economics & FinanceLina Qu, Lirong Yan, Jieru Chen et al.Shandong Normal University; Liaoning University
2026-10-26Robots and wage inequality: evidence from individuals in ChinaReview of Economics of the HouseholdRentao Rao, Yixiao ZhouAustralian National University
2026-10-24Effects of trade barriers on foreign direct investment: Evidence from Chinese solar panelsEnergy EconomicsA. Oriana MonttiUniversidad Pontificia Comillas
2026-10-21The impact of carbon emissions trading on the cleanliness of corporate export products: Evidence from a quasi-natural experiment based on the carbon emissions trading pilotInternational Review of Economics & FinanceXiaohng Chen, Jing Yang, Huaqing Zuoma et al.Xinjiang Normal University; Xinjiang University; China University of Petroleum, East China
2026-10-15Foreign geopolitical risk and exports: Transaction-level evidence from China's customs recordsInternational Review of Financial AnalysisNan Lin, Haochen Yu, Shiwei Hu et al.Fuzhou University of International Studies and Trade; University of Macau; Beijing Foreign Studies University; …
Cite this page

Scholar4AI. (2026). China Customs data. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/china-customs-data

@misc{scholar4ai-datasets-china-customs-data,
  author = {{Scholar4AI}},
  title = {China Customs data},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/china-customs-data}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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