Environmental regulations and the export performance of South Korean manufacturing industries: A dynamic panel approach

Abstract

This paper investigates the relationships among environmental regulation, export performance, and factor intensity, using panel data from South Korea's manufacturing sector (1991–2009). A panel vector autoregression (VAR) model in first differences tests the relationships among the variables, while considering the results of heterogeneous panel unit root and cointegration tests. Generalized Method of Moments (GMM) estimations help determine dynamic series relationships, and panel-causality tests are run based on the results of GMM estimations. There is evidence of a positive short-run linear causal relation running from environmental regulation to export performance, suggesting that environmental-protection expenditure may constitute a comparative advantage. The short-run linear causal relation from export performance to investment in activities related to environmental protection is insignificant.