Nobel Prize & Chinese Economists' Research

Data Description for Online Repository (Multiple Excel Sheets)

This dataset supports the analysis in “Chinese Economists and the Nobel Prize Dilemma: Cultural Bias or Paradigmatic Misalignment Between Theory and Application.” It consists of bibliometric and coded variables from 2,604 research articles published in Economic Research Journal (2000–2019). The dataset is structured across multiple Excel sheets to allow clarity and reproducibility.

Contents by Sheet:

Metadata – Publication year, author names, institutional affiliations, keywords, and abstracts.

Research Questions (NQ) – Coding of theoretical (Nobel Query, “why”) vs. applied (“how”) research orientations, with additional categories (where, when, whether, method).

Contextual Levels (NC) – Indicators of scope: individual, firm, industry, national, and international contexts.

Temporal Indicators (NT) – Publication year, pre-/post-2008 financial crisis, pre-/post-2013 Belt and Road Initiative.

Disciplines – Article classification into subfields (e.g., macroeconomics, microeconomics, econometrics, financial economics, institutional economics).

Regression Variables – Cleaned binary and categorical variables used for multivariate and logit regression analyses (including dependent and independent variables).

Codebook – Definitions of all variables, coding rules, and examples of applied vs. theoretical classification.

File Format:
Provided as an Excel workbook (.xlsx) with seven sheets. Variable names and coding notes are harmonized for ease of replication and further analysis.

Usage:
The dataset enables replication of descriptive statistics, regression analyses, and figures reported in the article, and serves as a resource for future research on applied versus theoretical orientations in Chinese economics.