過度包裝與經濟成長？

Packaging Waste and Economic Growth?

本文建立一個包含商品過度包裝及環境因子的內生成長模型，我們依循Ljungqvist and Uhlig（2000）處理消費外部性的手法來處理商品過度包裝的問題，據此討論商品過度包裝對於環境與經濟成長現象的影響。根據本文的研究發現，勞動供給是否為內生決定對於包裝稅之政策效果扮演一個相當關鍵的角色。以經濟成長的角度來看，包裝稅最好的結果是在不影響經濟成長率之下改善商品過度包裝的現象（發生在勞動供給固定的情境之下）。但倘若政府藉由環保教育來提升綠色消費信念，讓民眾願意自發性地減少過度包裝商品之消費，誘使資源由包裝用途重新配置到其他有助於經濟成長的行為，如生產或資本累積，則比較有可能可以在不傷害經濟成長的前提下，達成環境品質維護的目的，享受到經濟成長與環境品質改善的雙重分紅。此外本文同時也討論最適租稅政策如何制訂的問題。 By using an endogenous growth model with environmental externality, this paper tries to discuss the relationship between packaging waste and economic growth. We show that the role of labor supply plays an important role in determining the relationship between packaging waste and economic growth. We find, for economic growth, the packaging tax is not a good alternative. The better way is to increase the public awareness of environmental consciousness or green consumption belief through the government policy announcing, and propel the public change their consumption behaviors. Therefore, the resource from packaging waste can redistribute to other sectors and conducive to the economic growth with the achievement of double dividends (that is environmental conservation and economic growth). Finally, we also discuss the optimal policy.

By using an endogenous growth model with environmental externality, this paper tries to discuss the relationship between packaging waste and economic growth. We show that the role of labor supply plays an important role in determining the relationship between packaging waste and economic growth. We find, for economic growth, the packaging tax is not a good alternative. The better way is to increase the public awareness of environmental consciousness or green consumption belief through the government policy announcing, and propel the public change their consumption behaviors. Therefore, the resource from packaging waste can redistribute to other sectors and conducive to the economic growth with the achievement of double dividends (that is environmental conservation and economic growth). Finally, we also discuss the optimal policy.