Educational Infrastructure Efficiency in China: A Dual-Method Provincial Analysis With Cross-National Benchmarking, 2020–2025

This study evaluates the efficiency of educational infrastructure investment in China and Colombia between 2020 and 2025. The research aims to measure technical efficiency, identify institutional and contextual determinants, and assess whether infrastructure investment causally improves educational outcomes. Using a dual-method approach—Data Envelopment Analysis and Stochastic Frontier Analysis—combined with panel Granger causality tests, the study analyzes provincial and departmental data from multilateral sources. Results show substantial efficiency variation within and between countries, with Chinese provinces operating closer to the efficiency frontier than Colombian departments. Diminishing returns to infrastructure investment are evident, while governance quality, urbanization, and budget execution rates significantly shape efficiency patterns. Causality tests confirm that infrastructure investment precedes improvements in educational outcomes.

Authors

Institutions

Publication Details

Journal
International Journal of Chinese Education
Published
2026-01-01
DOI
https://doi.org/10.1177/2212585x261416126
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Educational Infrastructure Efficiency in China: A Dual-Method Provincial Analysis With Cross-National Benchmarking, 2020–2025

Juan Lamby, Anderson Joao Roa Domínguez, MARIO ALBERTO DE LA PUENTE, Jose Torres et al.
International Journal of Chinese Education
Efficiency Analysis Using DEA
article

Educational Infrastructure Efficiency in China: A Dual-Method Provincial Analysis With Cross-National Benchmarking, 2020–2025

Juan Lamby, Anderson Joao Roa Domínguez, MARIO ALBERTO DE LA PUENTE, Jose Torres, Hernan Guzman
article en

Abstract

This study evaluates the efficiency of educational infrastructure investment in China and Colombia between 2020 and 2025. The research aims to measure technical efficiency, identify institutional and contextual determinants, and assess whether infrastructure investment causally improves educational outcomes. Using a dual-method approach—Data Envelopment Analysis and Stochastic Frontier Analysis—combined with panel Granger causality tests, the study analyzes provincial and departmental data from multilateral sources. Results show substantial efficiency variation within and between countries, with Chinese provinces operating closer to the efficiency frontier than Colombian departments. Diminishing returns to infrastructure investment are evident, while governance quality, urbanization, and budget execution rates significantly shape efficiency patterns. Causality tests confirm that infrastructure investment precedes improvements in educational outcomes.

International Journal of Chinese EducationVol. 15(1)
University of Sucre (CO), Corporación Universitaria Minuto de Dios (CO)
Industry, innovation and infrastructure
Openalex Percentile: Top 94%
Efficiency Analysis Using DEA
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.