Carbon Emission Reduction Effect of RMB Appreciation: Empirical Evidence from 283 Prefecture-Level Cities of China
Based on the panel data of 283 prefecture-level cities in China from 2006 to 2019, this paper measures the extent and mechanism of the impact of RMB real effective exchange rate fluctuations on carbon emission intensity. The results show that: (1) For every 1% appreciation of the real effective exchange rate of RMB, the carbon emission intensity decreases by an average of 0.463 tons/10000 yuan; (2) The "carbon emission reduction effect" of RMB real effective exchange rate appreciation is more obvious in the eastern regions, coastal areas, regions with high urbanization levels, and areas with open information; (3) The appreciation of RMB real effective exchange rate can reduce carbon dioxide emission intensity by improving regional R&D and innovation ability, restraining foreign trade and foreign investment, promoting industrial structure optimization and upgrading, and improving income inequality.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
A Market-Clearing-based Sensitivity Model for Locational Marginal and Average Carbon Emission
This letter proposes a market-clearing-based locational marginal carbon emission (LMCE) metric to assess the marginal carbon emission effect of nodal load demand. Unlike the prevalent carbon emission flow (CEF) method th…
SensitivityStorage Control for Carbon Emission Reduction: Opportunities and Challenges
Storage is vital to power systems as it provides the urgently needed flexibility to the system. Meanwhile, it can contribute more than flexibility. In this paper, we study the possibility of utilizing storage system for …
A Study on the Impact of Environmental Liability Insurance on Industrial Carbon Emissions
In order to explore whether environmental liability insurance has an important impact on industrial emission reduction, this paper selects provincial (city) level panel data from 2010 to 2020 and constructs a two-way fix…
Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models
By integrating Artificial Intelligence (AI) with the Internet of Things (IoT), Artificial Intelligence of Things (AIoT) has revolutionized many fields. However, AIoT is facing the challenges of energy consumption and car…
Language ModellingLarge Language ModelRAGRetrieval-augmented GenerationFirm-level supply chains to minimize unemployment and economic losses in rapid decarbonization scenarios
Urgently needed carbon emissions reductions might lead to strict command-and-control decarbonization strategies with potentially negative economic consequences. Analysing the entire firm-level production network of a Eur…