Estimated provincial agricultural TFP across 31 Chinese provinces (2014–2023) using a novel IV-LP-ACF-SAR framework; identified mechanization as the dominant output driver and significant negative spatial spillovers in scale efficiency.
@article{tang2026agricultural,title={Agricultural Productivity and Its Spatial Spillover Effects in China},author={Tang, Juk-Sen and Lu, Hongwei and Gong, Tianyi and Chen, Junhong},journal={Agriculture},year={2026},month=feb,volume={16},number={5},pages={543},doi={10.3390/agriculture16050543},}
Preprint
Causal Machine Learning Reveals Divergent Effectiveness of Governance Modes for Sustainable Agricultural Transformation
Juk-Sen Tang, Haobo Zhang, Lily Shan, and Junhong Chen
Applied Causal Forest with DML to three policy reforms across 2,700+ Chinese counties; showed that governance design, not fiscal magnitude, determines effectiveness, and data-driven targeting outperforms administrative allocation.
@article{tang2026causal,title={Causal Machine Learning Reveals Divergent Effectiveness of Governance Modes for Sustainable Agricultural Transformation},author={Tang, Juk-Sen and Zhang, Haobo and Shan, Lily and Chen, Junhong},journal={Preprint},year={2026},month=mar,doi={10.20944/preprints202603.0372.v1},}
Preprint
Scaling Laws, Poverty Traps, and the Urbanization Crossover in Chinese County Economies
Estimated sector-specific urban scaling exponents for approximately 2,800 Chinese counties (2000–2023); identified an urbanization crossover threshold and persistent scaling deficits in 832 designated poverty counties.
@article{tang2026scaling,title={Scaling Laws, Poverty Traps, and the Urbanization Crossover in Chinese County Economies},author={Tang, Juk-Sen},journal={Preprint},year={2026},month=mar,doi={10.20944/preprints202603.0443.v1},}
Preprint
Are Food Safety Classifiers Learning Hazards or Memorizing Firms? Entity-Level Leakage in FDA Recall Severity Prediction
Benchmarked ML classifiers on 28,448 FDA recall records; exposed that 92% of apparent performance stems from firm-level memorization and proposed group-aware evaluation protocols.
@article{li2026foodsafety,title={Are Food Safety Classifiers Learning Hazards or Memorizing Firms? Entity-Level Leakage in FDA Recall Severity Prediction},author={Li, Peilun and Tang, Juk-Sen},journal={Preprint},year={2026},month=mar,doi={10.20944/preprints202603.0343.v1},}
2025
Preprint
Carbon Price Certainty and Green Innovation: Evidence from Canada’s Federal Backstop Policy
Exploited Alberta’s 2019 backstop adoption as a natural experiment across 1,381 firms; found that legislative clarification, not announcement, drives green patenting, while output expansion fully offsets emission intensity gains.
@article{tang2025carbon,title={Carbon Price Certainty and Green Innovation: Evidence from Canada's Federal Backstop Policy},author={Tang, Juk-Sen},journal={Preprint},year={2025},month=nov,doi={10.20944/preprints202511.1753.v1},}