Environmental regulation stringency and allocation between R&D and physical capital: A two-engine growth model

B-Tier
Journal: Journal of Economic Behavior and Organization
Year: 2023
Volume: 216
Issue: C
Pages: 733-753

Authors (4)

Chang, Juin-Jen (not in RePEc) Huang, Chien-Yu (not in RePEc) Wong, Chun Yee (not in RePEc) Yang, Yibai (University of Macau)

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Many studies have identified the negative effect of environmental regulation on capital accumulation and the positive effect on innovation, but this observed capital-innovation tradeoff due to environmental regulation lacks theoretical underpinning. We fill this gap by developing a unified two-engine endogenous growth model with environmental regulation, and show that a stringent environmental policy (in terms of pollution tax) leads to a sectoral reallocation from dirty inputs to clean final-good sectors, which increases the demand for R&D and activates the innovation engine. The capital engine depends on the elasticity of substitution between polluting and capital inputs. If both are sufficiently complementary, capital accumulation slows down. Another novelty of our model is that the contrasting responses of the two growth engines can lead to an inverted-U relation between overall GDP growth and environmental taxation. Our calibration shows that a well-designed environmental regulation can achieve a “double dividend”: both improving the environment and enhancing economic growth and social welfare. Our empirical analysis provides macro-level evidence to justify our model prediction by using cross-country panel data.

Technical Details

RePEc Handle
repec:eee:jeborg:v:216:y:2023:i:c:p:733-753
Journal Field
Theory
Author Count
4
Added to Database
2026-01-29