Investment in the new energy industry (IEI) and industrial pollution prevention (IPP) is an emerging strategy for carbon neutrality. However, little attention has been paid to exploring its direct linkage with environmental degradation. Therefore, the present study is an effort to contribute to a thin body of literature by recruiting IPP and IEI in China's provincial-level carbon emissions (CO). With the use of the latest maximum data from 1998 to 2017, the long-run relationships are estimated through "augmented mean group estimator (AMG), panel fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), and Pairwise Dumitrescu Hurlin (DH) Panel Causality Tests." According to the above-stated econometric techniques, IEI and IPP negatively affect CO emissions, which means the reduction in environmental degradation. The study also validates the environmental Kuznets curve (EKC) hypothesis for 30 provinces of China. Additionally, IPP shows the long-run unidirectional causal relationship with CO emissions, while income level has a bidirectional causal relationship with CO emissions. Findings have robust policy implications for China's provinces.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11356-021-18141-7DOI Listing

Publication Analysis

Top Keywords

investment energy
8
energy industry
8
carbon emissions
8
environmental degradation
8
degradation study
8
ordinary square
8
causal relationship
8
relationship emissions
8
emissions
5
china's investment
4

Similar Publications

Computerized cognitive training (CCT) is a frontline therapy to prevent or slow age-related cognitive decline. A prerequisite for CCT research to provide clinically relevant improvements in cognition is to understand effective engagement, i.e.

View Article and Find Full Text PDF

Emergence of an Industrial Innovation Ecosystem: Renewable Energy in India.

Nonlinear Dynamics Psychol Life Sci

January 2025

Adelphi University, Garden City, NY.

Theories and studies of ecosystem emergence focus on macro level explanations such as government investments in research and development or those at the organizational level such as displacement of an older technological system by a new one through competition between technologies. However, mechanisms by which such shifts occur are underemphasized. This article draws on complexity theory to develop a theoretical framework to describe how emergence is generated through top down 'rules' that constrain the behavior of the system, directing it towards a desired outcome.

View Article and Find Full Text PDF

Renewable energy and cryptocurrency: A dual approach to economic viability and environmental sustainability.

Heliyon

November 2024

Department of Energy System Engineering, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, No. 15, Pardis St., Molasadra Ave., Vanak Sq., Tehran, Iran.

One of the foremost challenges facing Bitcoin, as the most valuable cryptocurrency operating on a proof-of-work mechanism, is its substantial energy consumption and environmental impact. With the expansion of the Bitcoin market, mining has surged in popularity, particularly in countries where energy and monetary costs are comparatively low. This study aims to assess the impact of utilizing renewable energy from a photovoltaic system for Bitcoin mining, simulating a solar power plant with a 50.

View Article and Find Full Text PDF

Purpose: Previous studies show that transgender and gender-diverse (TGD) individuals, especially those assigned male at birth (AMAB), often have low bone mineral density (BMD) before beginning gender-affirming hormone therapy (GAHT). The reasons for this are not fully understood, and the potential role of androgen receptor (AR) polymorphisms - known to affect bone density in the general population - has not been explored. This study aims to assess the impact of AR polymorphisms on bone health in the TGD population.

View Article and Find Full Text PDF

The development of China's National Carbon Market has strengthened the inherent link between the carbon market and the broader energy market, providing a potential for cross-market risk transmission resonance. Studying the risk spillover effects between China's National Carbon Market and the crude oil futures market is of significant practical importance, both in terms of carbon market development and carbon risk management. Based on the Maximal Overlap Discrete Wavelet Transform (MODWT), the price series are decomposed across multiple scales, and the risk spillover effects between the carbon market and the crude oil futures market are examined from both the time domain and the frequency domain.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!