Technological Adoption, Sustainability, and Coffee Productivity in Vietnam: Evidence from Panel Data

This dataset provides a comprehensive panel data resource on technological adoption, sustainability practices, and coffee productivity in Vietnam, supporting the study: “Technological Adoption, Sustainability, and Coffee Productivity in Vietnam: Evidence from Panel Data” .The dataset is based on a balanced panel of 1,200 coffee farms located in the Central Highlands of Vietnam, including Dak Lak, Gia Lai, Lam Dong, and Dak Nong provinces, covering the period from 2010 to 2023. It integrates farm-level production data, technology adoption indicators, sustainability practices, and environmental variables, enabling robust econometric analysis of productivity and quality dynamics.Key components of the dataset include:- Farm-level panel data: A longitudinal dataset (≈16,800 observations) containing detailed information on coffee yield (tons/ha), quality (cupping scores), input use (water and fertilizer), farm characteristics (farm size, farmer experience), and institutional variables (access to extension services).- Technology adoption data: A composite technology index constructed using principal component analysis (PCA), based on multiple indicators including improved varieties, irrigation systems, mechanization, and digital tools.- Sustainability indicators: A binary variable capturing certification status and agroecological practices, enabling assessment of sustainability-driven quality improvements.- Environmental data: Province-level climate variables, including annual rainfall and temperature, allowing integration of climatic factors into productivity analysis.- Econometric outputs: Pre-computed descriptive statistics, correlation matrices, and regression results consistent with panel data models (fixed effects and random effects), facilitating reproducibility and validation.- Reproducibility resources: Scripts in R and Stata format for replicating panel regression models and statistical analyses.The dataset reveals substantial heterogeneity across farms in both productivity and technology adoption. Empirical patterns indicate that technological adoption is strongly associated with increased coffee yield, while sustainability practices play a more significant role in improving coffee quality. The data also reflect diminishing marginal returns to conventional inputs such as water and fertilizer, suggesting a structural transition toward knowledge-intensive and sustainability-oriented production systems.This dataset is designed in accordance with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and supports a wide range of applications, including:- Panel econometric analysis of agricultural productivity- Technology adoption and diffusion studies- Sustainability and quality upgrading in agricultural value chains- Climate–agriculture interaction research- Policy analysis in smallholder farming systemsGeographic coverage: Central Highlands of Vietnam (Dak Lak, Gia Lai, Lam Dong, Dak Nong)Temporal coverage: 2010–2023Data format: CSV, JSON, R script, Stata scriptLicense: CC-BY-4.0By providing a structured and reproducible panel dataset, this resource contributes to a deeper understanding of agricultural transformation in one of the world’s leading coffee-producing countries and supports evidence-based policy and research in sustainable agricultural development.