---
title: "Chinese Industrial Enterprises Database: papers using it"
description: "From Nov 2023 to Oct 2026, 34 archived papers mentioned Chinese Industrial Enterprises Database in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (2)."
url: https://scholar4ai.com/datasets/chinese-industrial-enterprises-database
markdown_url: https://scholar4ai.com/datasets/chinese-industrial-enterprises-database.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 34 archived papers mentioned Chinese Industrial Enterprises Database in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb… (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Chinese Industrial Enterprises Database

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

Surveys and administrative records of firms and plants, including private firms.

- data category: Firm surveys and census data
- 0 papers in the last 7 days
- Names searched for: Chinese Industrial Enterprises Database, Chinese Industrial Enterprise Database, China Industrial Enterprise Database, Annual Survey of Industrial Firms, Annual Survey of Industrial Enterprises, industrial enterprise database

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Firm surveys and census data datasets: https://scholar4ai.com/datasets/firm-surveys-and-census-data.md



## Key findings

- From Nov 2023 to Oct 2026, 34 archived papers mentioned Chinese Industrial Enterprises Database in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (2).
- No paper of the tracked journals mentioned Chinese Industrial Enterprises Database in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), Chinese Industrial Enterprises Database was mentioned in 36 papers in the tracked journals, most of them in economics (21), finance (10) and management (4).
- 11 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Zhejiang University (4), Xiamen University (3) and Zhejiang Gongshang University (3).
- The journals publishing most of them were International Review of Economics & Finance (6), European Economic Review (4) and Environmental and Resource Economics (3).
- The most-cited of them is “How does environmental regulation promote green technology innovation? Evidence from China's total emission control policy” (Ecological Economics, 2024), with 189 citations.
- Papers use Chinese Industrial Enterprises Database most often with China Customs data (8), National Bureau of Statistics of China (6) and China Statistical Yearbook (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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 9 | 9 | 16 | 34 |

## 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 | 1 | 0 | 1 | 6 | 8 | 5 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 6 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 10 | 11 | 13 |

## 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) | 6 |
| 2 | [European Economic Review](https://scholar4ai.com/journals/european-economic-review.md) | 4 |
| 3 | [Environmental and Resource Economics](https://scholar4ai.com/journals/environmental-and-resource-economics.md) | 3 |
| 4 | [Journal of Innovation & Knowledge](https://scholar4ai.com/journals/journal-of-innovation-knowledge.md) | 3 |
| 5 | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 2 |
| 6 | [Journal of Corporate Finance](https://scholar4ai.com/journals/journal-of-corporate-finance.md) | 2 |
| 7 | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 2 |
| 8 | [Industrial Marketing Management](https://scholar4ai.com/journals/industrial-marketing-management.md) | 1 |
| 9 | [Journal of International Economics](https://scholar4ai.com/journals/journal-of-international-economics.md) | 1 |
| 10 | [Public Choice](https://scholar4ai.com/journals/public-choice.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 4 |
| 2 | [Xiamen University](https://scholar4ai.com/institutions/xiamen-university.md) | 3 |
| 3 | [Zhejiang Gongshang University](https://scholar4ai.com/institutions/zhejiang-gongshang-university.md) | 3 |
| 4 | [City University of Hong Kong](https://scholar4ai.com/institutions/city-university-of-hong-kong.md) | 2 |
| 5 | [Nanjing University](https://scholar4ai.com/institutions/nanjing-university.md) | 2 |
| 6 | [Shandong University](https://scholar4ai.com/institutions/shandong-university.md) | 2 |
| 7 | [University of California, Berkeley](https://scholar4ai.com/institutions/university-of-california-berkeley.md) | 2 |
| 8 | [University of Glasgow](https://scholar4ai.com/institutions/university-of-glasgow.md) | 2 |
| 9 | [University of Nottingham](https://scholar4ai.com/institutions/university-of-nottingham.md) | 2 |
| 10 | [Xi'an Jiaotong University](https://scholar4ai.com/institutions/xi-an-jiaotong-university.md) | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 26 |
| 2 | United Kingdom | 11 |
| 3 | United States | 7 |
| 4 | Australia | 3 |
| 5 | Hong Kong | 2 |
| 6 | Netherlands | 2 |
| 7 | Norway | 2 |
| 8 | Belgium | 1 |
| 9 | Canada | 1 |
| 10 | Germany | 1 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [China](https://scholar4ai.com/keywords/china.md) | 15 |
| 2 | [environmental regulation](https://scholar4ai.com/keywords/environmental-regulation.md) | 7 |
| 3 | [state-owned enterprises](https://scholar4ai.com/keywords/state-owned-enterprises.md) | 7 |
| 4 | export quality | 3 |
| 5 | [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) | 3 |
| 6 | firm heterogeneity | 3 |
| 7 | [manufacturing companies](https://scholar4ai.com/keywords/manufacturing-companies.md) | 3 |
| 8 | [CO2 emissions](https://scholar4ai.com/keywords/co2-emissions.md) | 2 |
| 9 | Chinese exports | 2 |
| 10 | Chinese manufacturing | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 189 | 5.7 | [How does environmental regulation promote green technology innovation? Evidence from China's total emission control policy](https://doi.org/10.1016/j.ecolecon.2024.108137) | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | 2024-02-06 | Zheming Yan, Yu Ying, Kerui Du et al. |
| 2 | 40 | 1.1 | [China’s emissions trading scheme, firms’ R&D investment and emissions reduction](https://doi.org/10.1016/j.eap.2023.09.039) | [Economic Analysis and Policy](https://scholar4ai.com/journals/economic-analysis-and-policy.md) | 2023-10-04 | Jian Yu, Peng Liu, Xunpeng Shi et al. |
| 3 | 25 | 0.9 | [Fiscal policy volatility and capital misallocation: Evidence from China](https://doi.org/10.1016/j.euroecorev.2024.104797) | [European Economic Review](https://scholar4ai.com/journals/european-economic-review.md) | 2024-06-26 | Sai Ding, Wei Jiang, Shengyu Li et al. |
| 4 | 19 | 2.0 | [Green finance and brown firms along the chain: environmental gains, economic pains, and supply-chain transmission](https://doi.org/10.1186/s40854-025-00890-w) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 2026-01-14 | Jiazhan Gao, Guihong Hua, Kedi Wang et al. |
| 5 | 18 | 0.5 | [Pain or anxiety? The health consequences of rising robot adoption in China](https://doi.org/10.1016/j.econlet.2024.111582) | [Economics Letters](https://scholar4ai.com/journals/economics-letters.md) | 2024-02-01 | Qiren Liu, Sen Luo, Robert Seamans |

## Used together with

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

*What papers use Chinese Industrial Enterprises Database together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [China Customs data](https://scholar4ai.com/datasets/china-customs-data.md) | Dataset | 8 | 253.1 |
| [National Bureau of Statistics of China](https://scholar4ai.com/datasets/national-bureau-of-statistics-of-china.md) | Dataset | 6 | 48.6 |
| [China Statistical Yearbook](https://scholar4ai.com/datasets/china-statistical-yearbook.md) | Dataset | 5 | 44.9 |
| [China City Statistical Yearbook](https://scholar4ai.com/datasets/china-city-statistical-yearbook.md) | Dataset | 4 | 100.3 |
| [China patent office (CNIPA / SIPO)](https://scholar4ai.com/datasets/china-patent-office-cnipa-sipo.md) | Dataset | 4 | 44.7 |
| [Night-time lights (VIIRS, DMSP)](https://scholar4ai.com/datasets/night-time-lights-viirs-dmsp.md) | Dataset | 4 | 15.5 |
| [CEPII BACI](https://scholar4ai.com/datasets/cepii-baci.md) | Dataset | 3 | 23.2 |
| [China government work reports](https://scholar4ai.com/datasets/china-government-work-reports.md) | Dataset | 3 | 54.6 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 3 | 6.0 |
| [Trade Policy Uncertainty index](https://scholar4ai.com/datasets/trade-policy-uncertainty-index.md) | Dataset | 3 | 12.8 |

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

## Cite this page

Scholar4AI. (2026). Chinese Industrial Enterprises Database. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/chinese-industrial-enterprises-database

```bibtex
@misc{scholar4ai-datasets-chinese-industrial-enterprises-database,
  author = {{Scholar4AI}},
  title = {Chinese Industrial Enterprises Database},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/chinese-industrial-enterprises-database}},
  urldate = {2026-11-05},
  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/).