The volatility of energy financial markets significantly damages the behavior of the economy. Supply chain logistics is highly dependent on energy prices and climate change. We investigated the contribution of green technologies, economic policy uncertainty (EPU), climate policy uncertainty (CPU), and the role of energy prices in supply chain disruptions. The scope of this study was expanded to assess global supply chain disruptions in the context of recent geopolitical events. The authors employ quantile–quantile regression and Granger causality in quantile analysis using data covering May 2004 to April 2022. This time frame allows us to understand global supply chain disruptions during recent economic and geopolitical events. Empirical results reveal the strong influence of green technologies, EPU, CPU, and energy prices on the global supply chain, confirming its strong dependence on these factors. In addition, it is evident that CPU is detrimental to the supply chain, hindering the achievement of a renewable/sustainable integrated logistics system. Results also show that macroeconomic uncertainty disrupts the seamless movement of goods and services along the supply chain. These conclusions are relevant for policymakers, institutions, and managers to achieve a sustainable and resilient supply chain system.
Role of green technologies, climate uncertainties and energy prices on the supply chain: Policy-based analysis through the lens of sustainable development / Cheng, J.; Mohammed, K. S.; Misra, P.; Tedeschi, M.; Ma, X.. - In: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. - ISSN 0040-1625. - ELETTRONICO. - 194:(2023), p. 122705. [10.1016/j.techfore.2023.122705]
Role of green technologies, climate uncertainties and energy prices on the supply chain: Policy-based analysis through the lens of sustainable development
Tedeschi M.;
2023-01-01
Abstract
The volatility of energy financial markets significantly damages the behavior of the economy. Supply chain logistics is highly dependent on energy prices and climate change. We investigated the contribution of green technologies, economic policy uncertainty (EPU), climate policy uncertainty (CPU), and the role of energy prices in supply chain disruptions. The scope of this study was expanded to assess global supply chain disruptions in the context of recent geopolitical events. The authors employ quantile–quantile regression and Granger causality in quantile analysis using data covering May 2004 to April 2022. This time frame allows us to understand global supply chain disruptions during recent economic and geopolitical events. Empirical results reveal the strong influence of green technologies, EPU, CPU, and energy prices on the global supply chain, confirming its strong dependence on these factors. In addition, it is evident that CPU is detrimental to the supply chain, hindering the achievement of a renewable/sustainable integrated logistics system. Results also show that macroeconomic uncertainty disrupts the seamless movement of goods and services along the supply chain. These conclusions are relevant for policymakers, institutions, and managers to achieve a sustainable and resilient supply chain system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
