---
title: "Economics research: top topics, institutions and countries"
description: "In the last 30 days (2026-09-27 to 2026-10-26), 784 papers were published in the 83 tracked economics journals (as indexed by OpenAlex). The most frequent keywords were “China” (44), “monetary policy” (18) and “Chinese listed companies” (14)."
url: https://scholar4ai.com/categories/economics
markdown_url: https://scholar4ai.com/categories/economics.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T12:13:05+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Economics research rankings

Papers in the 83 tracked economics journals, window 2026-09-27 – 2026-10-26 (30 days). Keywords, institutions, web domains and countries are ranked by paper count.

- Papers (30 days): 784
- Papers (last 7 days): 92
- Journals: 83
- Institutions: 982
- Countries: 78
- Web domains: 928

## Key findings

- In the last 30 days (2026-09-27 to 2026-10-26), 784 papers were published in the 83 tracked economics journals (as indexed by OpenAlex).
- The most frequent keywords were “China” (44), “monetary policy” (18) and “Chinese listed companies” (14).
- The institutions with the most papers were Centre National de la Recherche Scientifique (20), Peking University (12) and Centre for Economic Policy Research (12).
- China was involved in 23% of the papers (178), followed by United States (140) and United Kingdom (80).
- Among institution web domains, .edu.cn appeared on 23% of the papers.
- The most-mentioned equations and models were Difference-in-differences (64), Instrumental variables (two-stage least squares) (50) and Ordinary least squares (OLS) (41).
- The most-mentioned kinds of data were Macroeconomic and development indicators (33), Energy and emissions data (23) and Optimization benchmark instances (17); the most-mentioned datasets were International Energy Agency (IEA) (17), OR-Library (17) and Eurostat (15).

## Papers per day

*Papers per publication date*

| Date | Papers |
|---|---:|
| 2026-09-27 | 9 |
| 2026-09-28 | 32 |
| 2026-09-29 | 30 |
| 2026-09-30 | 37 |
| 2026-10-01 | 220 |
| 2026-10-02 | 14 |
| 2026-10-03 | 16 |
| 2026-10-04 | 5 |
| 2026-10-05 | 35 |
| 2026-10-06 | 22 |
| 2026-10-07 | 25 |
| 2026-10-08 | 20 |
| 2026-10-09 | 28 |
| 2026-10-10 | 28 |
| 2026-10-11 | 17 |
| 2026-10-12 | 26 |
| 2026-10-13 | 24 |
| 2026-10-14 | 21 |
| 2026-10-15 | 23 |
| 2026-10-16 | 13 |
| 2026-10-17 | 30 |
| 2026-10-18 | 5 |
| 2026-10-19 | 12 |
| 2026-10-20 | 7 |
| 2026-10-21 | 23 |
| 2026-10-22 | 21 |
| 2026-10-23 | 21 |
| 2026-10-24 | 20 |
| 2026-10-25 | 0 |
| 2026-10-26 | 0 |

## Growing lately (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026)

*Papers in Jul 2026–Sep 2026 beyond what the keyword's share in Oct 2023–Jun 2026 predicts*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Jul 2026–Sep 2026 | vs. earlier share |
|---|---|---:|---:|
| [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 9, 10, 7, 9, 7, 3, 7, 6, 12, 10, 13, 7 | 35 | +13 |
| total factor productivity | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 6, 7, 7, 9, 10, 7, 1, 9, 6, 12, 15, 6 | 33 | +12 |
| systemic risk | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 4, 5, 6, 3, 2, 1, 4, 7, 6, 9, 3 | 22 | +10 |
| treatment effect heterogeneity | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 3, 1, 1, 3, 1, 0, 2, 5, 5, 4, 0 | 14 | +10 |
| absorptive capacity | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 3, 2, 4, 2, 3, 2, 2, 2, 8, 2, 7, 4 | 17 | +10 |

More: https://scholar4ai.com/trends.md

## Most-cited papers of the past three years

*Most-cited papers published since 2023-10-26 (citations counted by OpenAlex)*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 77 | 11.4 | [The global transmission of U.S. monetary policy](https://doi.org/10.1016/j.jinteco.2026.104259) | [Journal of International Economics](https://scholar4ai.com/journals/journal-of-international-economics.md) | 2026-04-03 | Riccardo Degasperi, Seokki Simon Hong, G. Ricco |
| 2 | 57 | 8.9 | [The Eurasian roundabout: Trade flows into Russia through the Caucasus and Central Asia](https://doi.org/10.1016/j.euroecorev.2026.105340) | [European Economic Review](https://scholar4ai.com/journals/european-economic-review.md) | 2026-04-15 | Maxim Chupilkin, Beata Smarzynska Javorcik, Alexander Plekhanov |
| 3 | 49 | 4.5 | [Do geopolitical risks raise or lower inflation?](https://doi.org/10.1016/j.jinteco.2025.104188) | [Journal of International Economics](https://scholar4ai.com/journals/journal-of-international-economics.md) | 2025-11-26 | Dario Caldara, Sarah Conlisk, Matteo M. Iacoviello et al. |
| 4 | 40 | 4.6 | [Interpreting event-studies from recent difference-in-differences methods](https://doi.org/10.1007/s42973-026-00235-x) | [Japanese Economic Review](https://scholar4ai.com/journals/japanese-economic-review.md) | 2026-02-03 | Jonathan Roth |
| 5 | 38 | 3.2 | [A systematic review on the impact of Artificial Intelligence in the agri-food supply chain](https://doi.org/10.1016/j.foodpol.2025.102983) | [Food Policy](https://scholar4ai.com/journals/food-policy.md) | 2025-10-29 | Matilde Reitano, Michelle S. Segovia, Rodolfo M. Nayga |

More: https://scholar4ai.com/rankings/cited.md



## Top research keywords (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Keyword | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [China](https://scholar4ai.com/keywords/china.md) | 44 | 2 |
| 2 | [monetary policy](https://scholar4ai.com/keywords/monetary-policy.md) | 18 | 0 |
| 3 | [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) | 14 | 0 |
| 3 | [energy transition](https://scholar4ai.com/keywords/energy-transition.md) | 14 | 1 |
| 3 | regional disparities | 14 | 4 |
| 6 | climate policy | 13 | 1 |
| 7 | CO2 emissions | 12 | 0 |
| 7 | carbon pricing | 12 | 0 |
| 7 | [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) | 12 | 0 |
| 10 | developing countries | 11 | 1 |
| 10 | economic growth | 11 | 2 |
| 10 | environmental policy | 11 | 0 |
| 10 | human capital | 11 | 0 |
| 10 | income inequality | 11 | 2 |
| 15 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 10 | 3 |
| 15 | [emerging markets](https://scholar4ai.com/keywords/emerging-markets.md) | 10 | 0 |
| 15 | geopolitical risk | 10 | 0 |
| 18 | digitalization | 9 | 1 |
| 18 | [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) | 9 | 0 |
| 18 | foreign direct investment | 9 | 2 |

## Top universities and research institutions (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Institution | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 20 | 3 |
| 2 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 12 | 1 |
| 2 | Centre for Economic Policy Research | 12 | 2 |
| 4 | [Renmin University of China](https://scholar4ai.com/institutions/renmin-university-of-china.md) | 11 | 0 |
| 5 | University of Cambridge | 9 | 1 |
| 6 | Luxembourg Institute of Socio-Economic Research | 8 | 1 |
| 7 | National Bureau of Economic Research | 7 | 1 |
| 7 | Jinan University | 7 | 1 |
| 7 | Korea University | 7 | 2 |
| 10 | [Beijing Institute of Technology](https://scholar4ai.com/institutions/beijing-institute-of-technology.md) | 6 | 0 |
| 10 | World Bank | 6 | 0 |
| 10 | Central University of Finance and Economics | 6 | 0 |
| 10 | [Shanghai University of Finance and Economics](https://scholar4ai.com/institutions/shanghai-university-of-finance-and-economics.md) | 6 | 1 |
| 10 | [Southwestern University of Finance and Economics](https://scholar4ai.com/institutions/southwestern-university-of-finance-and-economics.md) | 6 | 1 |
| 15 | University of Pisa | 5 | 2 |
| 15 | Australian National University | 5 | 0 |
| 15 | Zhongnan University of Economics and Law | 5 | 0 |
| 15 | National University of Singapore | 5 | 0 |
| 15 | Chinese University of Hong Kong | 5 | 1 |
| 15 | Guangdong University Of Finances and Economics | 5 | 0 |

## Top institution web domains (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Web domain | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [cnrs.fr](https://scholar4ai.com/domains/cnrs.fr.md) | 21 | 4 |
| 2 | cepr.org | 12 | 2 |
| 2 | [pku.edu.cn](https://scholar4ai.com/domains/pku.edu.cn.md) | 12 | 1 |
| 4 | [ruc.edu.cn](https://scholar4ai.com/domains/ruc.edu.cn.md) | 11 | 0 |
| 5 | worldbank.org | 10 | 1 |
| 6 | cam.ac.uk | 9 | 1 |
| 7 | liser.lu | 8 | 1 |
| 8 | jnu.edu.cn | 7 | 1 |
| 8 | korea.ac.kr | 7 | 2 |
| 8 | nber.org | 7 | 1 |
| 11 | [bit.edu.cn](https://scholar4ai.com/domains/bit.edu.cn.md) | 6 | 0 |
| 11 | cufe.edu.cn | 6 | 0 |
| 11 | psl.eu | 6 | 0 |
| 11 | [sufe.edu.cn](https://scholar4ai.com/domains/sufe.edu.cn.md) | 6 | 1 |
| 11 | [swufe.edu.cn](https://scholar4ai.com/domains/swufe.edu.cn.md) | 6 | 1 |
| 16 | anu.edu.au | 5 | 0 |
| 16 | berkeley.edu | 5 | 0 |
| 16 | cornell.edu | 5 | 0 |
| 16 | cuhk.edu.hk | 5 | 1 |
| 16 | gdufe.edu.cn | 5 | 0 |

## Top countries (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Country | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | China (CN) | 178 | 16 |
| 2 | United States (US) | 140 | 15 |
| 3 | United Kingdom (GB) | 80 | 11 |
| 4 | Italy (IT) | 63 | 10 |
| 5 | Germany (DE) | 50 | 6 |
| 6 | Spain (ES) | 46 | 5 |
| 6 | France (FR) | 46 | 7 |
| 8 | Australia (AU) | 24 | 2 |
| 9 | South Korea (KR) | 22 | 4 |
| 10 | Canada (CA) | 21 | 1 |
| 11 | Japan (JP) | 20 | 2 |
| 12 | Switzerland (CH) | 18 | 2 |
| 13 | India (IN) | 17 | 2 |
| 14 | Netherlands (NL) | 16 | 4 |
| 14 | Turkey (TR) | 16 | 5 |
| 16 | Hong Kong (HK) | 15 | 2 |
| 17 | Denmark (DK) | 12 | 2 |
| 17 | Sweden (SE) | 12 | 2 |
| 19 | Ireland (IE) | 10 | 1 |
| 19 | Luxembourg (LU) | 10 | 1 |

## Research fields (top 15)

*Top 15 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Field | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | Economics, Econometrics and Finance | 325 | 31 |
| 2 | Social Sciences | 161 | 16 |
| 3 | Business, Management and Accounting | 88 | 9 |
| 4 | Decision Sciences | 57 | 8 |
| 5 | Engineering | 38 | 8 |
| 6 | Energy | 30 | 8 |
| 7 | Environmental Science | 28 | 2 |
| 8 | Health Professions | 14 | 2 |
| 9 | Agricultural and Biological Sciences | 9 | 0 |
| 10 | Mathematics | 7 | 3 |
| 10 | Medicine | 7 | 1 |
| 12 | Computer Science | 4 | 1 |
| 12 | Psychology | 4 | 1 |
| 14 | Physics and Astronomy | 2 | 0 |
| 15 | Arts and Humanities | 1 | 0 |

## Papers per journal (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Journal | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [Economic Analysis and Policy](https://scholar4ai.com/journals/economic-analysis-and-policy.md) | 71 | 1 |
| 2 | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | 53 | 12 |
| 3 | [Economics Letters](https://scholar4ai.com/journals/economics-letters.md) | 49 | 0 |
| 4 | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 42 | 0 |
| 5 | [Economic Modelling](https://scholar4ai.com/journals/economic-modelling.md) | 41 | 1 |
| 6 | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | 27 | 5 |
| 6 | [Journal of Economic Behavior & Organization](https://scholar4ai.com/journals/journal-of-economic-behavior-organization.md) | 27 | 3 |
| 6 | [World Development](https://scholar4ai.com/journals/world-development.md) | 27 | 6 |
| 9 | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 24 | 9 |
| 9 | [The Annals of Regional Science](https://scholar4ai.com/journals/the-annals-of-regional-science.md) | 24 | 3 |
| 11 | [Journal of Macroeconomics](https://scholar4ai.com/journals/journal-of-macroeconomics.md) | 14 | 0 |
| 12 | [Food Policy](https://scholar4ai.com/journals/food-policy.md) | 13 | 3 |
| 12 | [Journal of Asian Economics](https://scholar4ai.com/journals/journal-of-asian-economics.md) | 13 | 0 |
| 12 | [Journal of Mathematical Economics](https://scholar4ai.com/journals/journal-of-mathematical-economics.md) | 13 | 0 |
| 12 | [Research Policy](https://scholar4ai.com/journals/research-policy.md) | 13 | 4 |
| 12 | [Utilities Policy](https://scholar4ai.com/journals/utilities-policy.md) | 13 | 5 |
| 17 | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 12 | 4 |
| 17 | [Journal of Public Economics](https://scholar4ai.com/journals/journal-of-public-economics.md) | 12 | 3 |
| 19 | [Games and Economic Behavior](https://scholar4ai.com/journals/games-and-economic-behavior.md) | 11 | 0 |
| 20 | [Economic Systems](https://scholar4ai.com/journals/economic-systems.md) | 10 | 0 |

## Most-used equations and models (top 10)

*Top 10 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Equation or model | Formula | Papers |
|---:|---|---|---:|
| 1 | [Difference-in-differences](https://scholar4ai.com/equations/difference-in-differences.md) | $Y_{it} = \alpha_i + \lambda_t + \delta\,(\mathit{Treat}_i \times \mathit{Post}_t) + \varepsilon_{it}$ | 64 |
| 2 | [Instrumental variables (two-stage least squares)](https://scholar4ai.com/equations/instrumental-variables-two-stage-least-squares.md) | $\hat\beta_{\mathrm{2SLS}} = (X^\top P_Z X)^{-1} X^\top P_Z\, y,\quad P_Z = Z (Z^\top Z)^{-1} Z^\top$ | 50 |
| 3 | [Ordinary least squares (OLS)](https://scholar4ai.com/equations/ordinary-least-squares-ols.md) | $\hat\beta = (X^\top X)^{-1} X^\top y$ | 41 |
| 4 | [Logistic regression (logit)](https://scholar4ai.com/equations/logistic-regression-logit.md) | $\Pr(y = 1 \mid x) = \frac{1}{1 + e^{-x^\top\beta}}$ | 36 |
| 5 | [Total factor productivity (Solow residual)](https://scholar4ai.com/equations/total-factor-productivity-solow-residual.md) | $\ln A_t = \ln Y_t - \alpha \ln K_t - (1 - \alpha) \ln L_t$ | 28 |
| 6 | [Two-way fixed-effects panel regression](https://scholar4ai.com/equations/two-way-fixed-effects-panel-regression.md) | $y_{it} = \alpha_i + \lambda_t + x_{it}^\top\beta + \varepsilon_{it}$ | 24 |
| 7 | [Vector autoregression (VAR)](https://scholar4ai.com/equations/vector-autoregression-var.md) | $y_t = c + \sum_{i=1}^{p} A_i\, y_{t-i} + \varepsilon_t$ | 22 |
| 8 | [Quantile regression](https://scholar4ai.com/equations/quantile-regression.md) | $\hat\beta_\tau = \operatorname*{arg\,min}_{\beta} \sum_{i} \rho_\tau(y_i - x_i^\top\beta),\quad \rho_\tau(u) = u\,(\tau - \mathbf{1}\{u < 0\})$ | 20 |
| 9 | [Propensity score matching](https://scholar4ai.com/equations/propensity-score-matching.md) | $e(x) = \Pr(D = 1 \mid X = x)$ | 18 |
| 10 | [Probit model](https://scholar4ai.com/equations/probit-model.md) | $\Pr(y = 1 \mid x) = \Phi(x^\top\beta)$ | 17 |

## Most-used data (top 10)

*Top 10 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Data category | Most-mentioned datasets | Papers |
|---:|---|---|---:|
| 1 | [Macroeconomic and development indicators](https://scholar4ai.com/datasets/macroeconomic-and-development-indicators.md) | Eurostat (15), World Development Indicators (World Bank) (14), Penn World Table (6), OECD statistics (4) … | 33 |
| 2 | [Energy and emissions data](https://scholar4ai.com/datasets/energy-and-emissions-data.md) | International Energy Agency (IEA) (17), EDGAR emissions database (2), Global Carbon Project (2), ENTSO-E / Nord Pool electricity data (2) … | 23 |
| 3 | [Optimization benchmark instances](https://scholar4ai.com/datasets/optimization-benchmark-instances.md) | OR-Library (17) | 17 |
| 4 | [International trade and input-output data](https://scholar4ai.com/datasets/international-trade-and-input-output-data.md) | WITS / TRAINS tariff data (9), OECD TiVA / ICIO (4), World Input-Output Database (WIOD) (3), UN Comtrade (1) … | 16 |
| 5 | [Uncertainty and sentiment indices](https://scholar4ai.com/datasets/uncertainty-and-sentiment-indices.md) | Economic Policy Uncertainty index (8), Climate Policy Uncertainty index (5), Geopolitical Risk index (3), Trade Policy Uncertainty index (2) | 15 |
| 6 | [European and other national household panels](https://scholar4ai.com/datasets/european-and-other-national-household-panels.md) | Labour Force Surveys (5), SHARE (4), German Socio-Economic Panel (SOEP) (2), Understanding Society / BHPS (2) … | 14 |
| 7 | [China household and social surveys](https://scholar4ai.com/datasets/china-household-and-social-surveys.md) | China Family Panel Studies (CFPS) (6), CHARLS (3), China Household Finance Survey (CHFS) (2), Chinese General Social Survey (CGSS) (2) … | 13 |
| 8 | [Developing-country household surveys](https://scholar4ai.com/datasets/developing-country-household-surveys.md) | Demographic and Health Surveys (DHS) (5), Living Standards Measurement Study (LSMS) (3), India National Sample Survey (2), India Human Development Survey (1) … | 12 |
| 9 | [Cross-country social and attitude surveys](https://scholar4ai.com/datasets/cross-country-social-and-attitude-surveys.md) | World Values Survey (5), Gallup World Poll (2), Eurobarometer (2), European Social Survey (1) … | 11 |
| 10 | [Governance and institutional indicators](https://scholar4ai.com/datasets/governance-and-institutional-indicators.md) | Worldwide Governance Indicators (7), V-Dem (3), International Country Risk Guide (ICRG) (1), Corruption Perceptions Index (1) | 9 |


## Latest economics papers

*Latest economics papers*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-24 | [Forging holistic nuclear governance: The unifying role of China's atomic energy law in risk regulation and industry promotion](https://doi.org/10.1016/j.enpol.2026.115681) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | BangDa HU |  |
| 2026-10-24 | [Framed norms: the effect of choice and belief information on tax compliance](https://doi.org/10.1007/s10797-026-10009-1) | [International Tax and Public Finance](https://scholar4ai.com/journals/international-tax-and-public-finance.md) | Federico Atzori, Vittorio Pelligra | University of Cagliari |
| 2026-10-24 | [University shocks and research productivity inequality: Evidence from the COVID-19 pandemic](https://doi.org/10.1016/j.jebo.2026.107802) | [Journal of Economic Behavior & Organization](https://scholar4ai.com/journals/journal-of-economic-behavior-organization.md) | Yuxiang Jiang, R. Liu, Dominik M. Rösch et al. | Southwestern University of Finance and Economics; University at Buffalo, State University of New York |
| 2026-10-24 | [Recent Developments at the CMA: 2025–26](https://doi.org/10.1007/s11151-026-10066-0) | [Review of Industrial Organization](https://scholar4ai.com/journals/review-of-industrial-organization.md) | Catherine Colebrook, Helen Ferguson, Jenny Haydock et al. |  |
| 2026-10-24 | [Coal subsidies and long-term contract pricing: a perspective from factor marketization reforms](https://doi.org/10.1016/j.enpol.2026.115678) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | Xiaofei Wang, Nan Liu, Kuijian Qu et al. | Shandong Institute of Business and Technology; Hunan Normal University; Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) |
| 2026-10-24 | [The intensive margin of food access and its association with health outcomes: evidence of heterogeneous effects across U.S. Communities](https://doi.org/10.1016/j.foodpol.2026.103212) | [Food Policy](https://scholar4ai.com/journals/food-policy.md) | Qingwei Qiao, Syed Badruddoza, Modhurima Dey Amin et al. | Washington State University; Texas Tech University; Economic Research Service |
| 2026-10-24 | [Geopolitical risk and energy poverty in African net energy importers: Localized effects, structural vulnerability, and conditional resilience](https://doi.org/10.1016/j.enpol.2026.115680) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | Amine Kendri, Hafid El Hassani |  |
| 2026-10-24 | [Fiscal information and stated willingness to pay taxes: evidence from a survey experiment](https://doi.org/10.1007/s10797-026-10007-3) | [International Tax and Public Finance](https://scholar4ai.com/journals/international-tax-and-public-finance.md) | José María Durán-Cabré, Alejandro Esteller Moré, Riccardo Secomandi | Barcelona School of Economics; Universitat de Barcelona; University of Ferrara |
| 2026-10-24 | [Oil import diversification and the macroeconomic transmission of oil supply shocks in the Eurozone](https://doi.org/10.1007/s00181-026-02986-3) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | Antonio J. Garzón, Mehmet Pinar | Universidad de Cádiz; Istanbul Bilgi University; Universidad de Sevilla |
| 2026-10-24 | [Evolutionary Game Analysis of Value Co-Creation in Green Innovation Chains Under Revenue-Sharing Contracts](https://doi.org/10.1007/s10614-026-11450-4) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Rongjian Xie, Sifan Wang, Qianyao Yang et al. | Nanjing University of Information Science and Technology; Nanjing University of Science and Technology |
| 2026-10-24 | [Inequality matters: A systematic review of heterogeneity in integrated assessment models](https://doi.org/10.1016/j.ecolecon.2026.109280) | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | Sara Pavesio, Jaime Nieto, Mercedes Molpeceres et al. | Universidad de Valladolid |
| 2026-10-24 | [A poorly targeted subsidy? The fiscal and social costs of EU VAT expenditures](https://doi.org/10.1007/s10797-026-10008-2) | [International Tax and Public Finance](https://scholar4ai.com/journals/international-tax-and-public-finance.md) | Michael Christl | Universidad Loyola Andalucía |
| 2026-10-24 | [Dynamic Evolution of Financialization: A Complex Network Analysis](https://doi.org/10.1007/s10614-026-11453-1) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Jun Hu, Chengbin Chu, Jinyan Wu | Inner Mongolia University; Université Gustave Eiffel |
| 2026-10-24 | [From household peak to base: Understanding residential electricity consumption in the context of an energy transition](https://doi.org/10.1016/j.jup.2026.102357) | [Utilities Policy](https://scholar4ai.com/journals/utilities-policy.md) | Ewa Vick, Yuting Yang, Janie M. Chermak | University of New Mexico; University of Montana; Tianjin University; … |
| 2026-10-24 | [Do Airlines Adopt Sustainable Aviation Fuels Under Modal Competition?](https://doi.org/10.1007/s11151-026-10067-z) | [Review of Industrial Organization](https://scholar4ai.com/journals/review-of-industrial-organization.md) | Sai Bravo-Melgarejo, Estelle Malavolti | Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Université Paris-Saclay; CEA Paris-Saclay; … |

## Questions this page answers

### What are the most common topics in recent economics research?

In the last 30 days, the most frequent OpenAlex keywords in papers from the tracked economics journals were “China” (44), “monetary policy” (18), “Chinese listed companies” (14), “energy transition” (14) and “regional disparities” (14).

### Which universities and institutions publish the most economics research?

In the last 30 days, the institutions with the most papers in the tracked economics journals were Centre National de la Recherche Scientifique (20), Peking University (12), Centre for Economic Policy Research (12), Renmin University of China (11) and University of Cambridge (9).

### Which countries publish the most economics research?

Counting papers with at least one author at an institution in the country, the leaders over the last 30 days were China (178), United States (140), United Kingdom (80), Italy (63) and Germany (50).

### Which equations and models do recent economics research papers use most?

Counting papers that mention them by name in the title, abstract, keywords or full text, the most frequent in the tracked economics journals over the last 30 days were Difference-in-differences (64), Instrumental variables (two-stage least squares) (50), Ordinary least squares (OLS) (41), Logistic regression (logit) (36) and Total factor productivity (Solow residual) (28).

### What data do recent economics research papers use?

Counting papers that mention a dataset by name, the kinds of data used most over the last 30 days were Macroeconomic and development indicators (33), Energy and emissions data (23), Optimization benchmark instances (17), International trade and input-output data (16) and Uncertainty and sentiment indices (15); the most-mentioned datasets were International Energy Agency (IEA) (17), OR-Library (17), Eurostat (15), World Development Indicators (World Bank) (14) and WITS / TRAINS tariff data (9).

### How current is this data?

It is rebuilt from OpenAlex 4 times a day (00:00, 06:00, 12:00, 18:00, UTC+09:00); the last update was 2026-10-26 12:13 UTC+09:00. OpenAlex usually indexes new papers within a few days of publication.