---
title: "National Bureau of Statistics of China: papers using it"
description: "From Nov 2023 to Oct 2026, 160 archived papers mentioned National Bureau of Statistics of China in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (11)."
url: https://scholar4ai.com/datasets/national-bureau-of-statistics-of-china
markdown_url: https://scholar4ai.com/datasets/national-bureau-of-statistics-of-china.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 160 archived papers mentioned National Bureau of Statistics of China in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb… (as of 2026-11-04)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-04T18:03:26+09:00
window: 2026-10-06 to 2026-11-04
source: OpenAlex (CC0)
---

# National Bureau of Statistics of China

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/5.md)

Province- and city-level statistics from Chinese statistical yearbooks, and regional indices built from them.

- data category: China statistical yearbooks and regional indices
- 0 papers in the last 7 days
- Names searched for: National Bureau of Statistics of China, China's National Bureau of Statistics, NBSC

Most-used data: https://scholar4ai.com/rankings/datasets.md · All China statistical yearbooks and regional indices datasets: https://scholar4ai.com/datasets/china-statistical-yearbooks-and-regional-indices.md



## Key findings

- From Nov 2023 to Oct 2026, 160 archived papers mentioned National Bureau of Statistics of China in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (11).
- National Bureau of Statistics of China was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
- By journal category: Health Economics and Policy (1).
- Most of them appeared in SSM - Population Health (1).
- From 2017 to 2026 (so far), National Bureau of Statistics of China was mentioned in 164 papers in the tracked journals, most of them in economics (66), finance (39) and management (20).
- 48 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Xiamen University (6), Central University of Finance and Economics (5) and University of Auckland (5).
- The journals publishing most of them were International Review of Economics & Finance (18), Health Economics Review (10) and Agricultural and Food Economics (8).
- The most-cited of them is “Digital infrastructure and innovation: Digital divide or digital dividend?” (Journal of Innovation & Knowledge, 2024), with 181 citations.
- Papers use National Bureau of Statistics of China most often with China Statistical Yearbook (37), CSMAR (26) and China Family Panel Studies (CFPS) (18); it has 53 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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 44 | 55 | 61 | 160 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 24 | 20 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 21 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 6 | 4 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 5 | 6 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 3 | 1 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 1 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 53 | 48 | 54 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 18 |
| 2 | [Health Economics Review](https://scholar4ai.com/journals/health-economics-review.md) | 10 |
| 3 | [Agricultural and Food Economics](https://scholar4ai.com/journals/agricultural-and-food-economics.md) | 8 |
| 4 | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 6 |
| 5 | [Journal of Innovation & Knowledge](https://scholar4ai.com/journals/journal-of-innovation-knowledge.md) | 6 |
| 6 | [Review of Economics of the Household](https://scholar4ai.com/journals/review-of-economics-of-the-household.md) | 5 |
| 7 | [Journal of Development Economics](https://scholar4ai.com/journals/journal-of-development-economics.md) | 4 |
| 8 | [Emerging Markets Review](https://scholar4ai.com/journals/emerging-markets-review.md) | 4 |
| 9 | [Higher Education](https://scholar4ai.com/journals/higher-education.md) | 3 |
| 10 | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | 3 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Xiamen University](https://scholar4ai.com/institutions/xiamen-university.md) | 6 |
| 2 | [Central University of Finance and Economics](https://scholar4ai.com/institutions/central-university-of-finance-and-economics.md) | 5 |
| 3 | [University of Auckland](https://scholar4ai.com/institutions/university-of-auckland.md) | 5 |
| 4 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 5 |
| 5 | [China Agricultural University](https://scholar4ai.com/institutions/china-agricultural-university.md) | 4 |
| 6 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 4 |
| 7 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 4 |
| 8 | [Australian National University](https://scholar4ai.com/institutions/australian-national-university.md) | 3 |
| 9 | [Durham University](https://scholar4ai.com/institutions/durham-university.md) | 3 |
| 10 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 3 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 106 |
| 2 | United Kingdom | 38 |
| 3 | Australia | 16 |
| 4 | United States | 13 |
| 5 | Hong Kong | 11 |
| 6 | Netherlands | 10 |
| 7 | Germany | 8 |
| 8 | Japan | 6 |
| 9 | New Zealand | 6 |
| 10 | Italy | 5 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [China](https://scholar4ai.com/keywords/china.md) | 55 |
| 2 | [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) | 9 |
| 3 | [state-owned enterprises](https://scholar4ai.com/keywords/state-owned-enterprises.md) | 9 |
| 4 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 7 |
| 5 | [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 6 |
| 6 | [cost-effectiveness](https://scholar4ai.com/keywords/cost-effectiveness.md) | 6 |
| 7 | [corporate social responsibility](https://scholar4ai.com/keywords/corporate-social-responsibility.md) | 5 |
| 8 | [digital economy](https://scholar4ai.com/keywords/digital-economy.md) | 5 |
| 9 | [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) | 5 |
| 10 | [CO2 emissions](https://scholar4ai.com/keywords/co2-emissions.md) | 4 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 181 | 6.4 | [Digital infrastructure and innovation: Digital divide or digital dividend?](https://doi.org/10.1016/j.jik.2024.100542) | [Journal of Innovation & Knowledge](https://scholar4ai.com/journals/journal-of-innovation-knowledge.md) | 2024-07-01 | Zhuo-Ya Du, Qian Wang |
| 2 | 83 | 2.5 | [Climate policy in emerging economies: Evidence from China’s Low-Carbon City Pilot](https://doi.org/10.1016/j.jeem.2024.102943) | [Journal of Environmental Economics and Management](https://scholar4ai.com/journals/journal-of-environmental-economics-and-management.md) | 2024-02-17 | Haibo Zhang, Corrado Di Maria, Bahar Ghezelayagh et al. |
| 3 | 52 | 2.1 | [Digital technology innovation and corporate ESG performance: evidence from China](https://doi.org/10.1007/s10644-024-09791-x) | [Economic Change and Restructuring](https://scholar4ai.com/journals/economic-change-and-restructuring.md) | 2024-10-04 | Li Wang, Hongyu Yang |
| 4 | 41 | 1.3 | [Environmental regulations and corporate cash holdings](https://doi.org/10.1016/j.bar.2024.101388) | [The British Accounting Review](https://scholar4ai.com/journals/the-british-accounting-review.md) | 2024-04-24 | Wenrui Chen, Yue Cao, Yizhe Dong et al. |
| 5 | 40 | 1.1 | [The Independence of Judges and Corporate Social Responsibility](https://doi.org/10.1007/s10551-023-05540-8) | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | 2023-10-30 | Senlin Miao, Gary Gang Tian, Fenghua Wen et al. |

## Used together with

Papers use National Bureau of Statistics of China most often with China Statistical Yearbook (37), CSMAR (26) and China Family Panel Studies (CFPS) (18); it has 53 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of….

*What papers use National Bureau of Statistics of China together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [China Statistical Yearbook](https://scholar4ai.com/datasets/china-statistical-yearbook.md) | Dataset | 37 | 72.9 |
| [CSMAR](https://scholar4ai.com/datasets/csmar.md) | Dataset | 26 | 17.3 |
| [China Family Panel Studies (CFPS)](https://scholar4ai.com/datasets/china-family-panel-studies-cfps.md) | Dataset | 18 | 12.6 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 13 | 1.6 |
| [China Household Finance Survey (CHFS)](https://scholar4ai.com/datasets/china-household-finance-survey-chfs.md) | Dataset | 12 | 8.8 |
| [Wind](https://scholar4ai.com/datasets/wind.md) | Dataset | 11 | 19.7 |
| [CNRDS](https://scholar4ai.com/datasets/cnrds.md) | Dataset | 9 | 18.2 |
| [International Energy Agency (IEA)](https://scholar4ai.com/datasets/international-energy-agency-iea.md) | Dataset | 9 | 2.8 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 9 | 3.9 |
| [Night-time lights (VIIRS, DMSP)](https://scholar4ai.com/datasets/night-time-lights-viirs-dmsp.md) | Dataset | 9 | 7.7 |
| [World Development Indicators (World Bank)](https://scholar4ai.com/datasets/world-development-indicators-world-bank.md) | Dataset | 9 | 2.8 |
| [Baidu Index](https://scholar4ai.com/datasets/baidu-index.md) | Dataset | 8 | 19.8 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning National Bureau of Statistics of China in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-06 | [Who benefits from long-term care insurance? Heterogeneous effects among spousal and adult-child caregivers in China](https://doi.org/10.1016/j.ssmph.2026.101976) | [SSM - Population Health](https://scholar4ai.com/journals/ssm-population-health.md) | Yichen Qiu, Asako Ohinata | University of Leicester |

## Cite this page

Scholar4AI. (2026). National Bureau of Statistics of China. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/national-bureau-of-statistics-of-china

```bibtex
@misc{scholar4ai-datasets-national-bureau-of-statistics-of-china,
  author = {{Scholar4AI}},
  title = {National Bureau of Statistics of China},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/national-bureau-of-statistics-of-china}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).