Environmental quality has become a growing concern for Chinese society since the last 2 decades in China. The large contribution of different pollutants severely affected the environmental quality that untimely affects life expectancy in the country. In this backdrop, the present study investigates the impact of environmental quality and public spending on the environment for life expectancy in China using the period 1999Q1-2017Q4. We employ nonlinear autoregressive distributed lag model (ARDL) approach for the empirical assessment. The outcomes of the study reveal the existence of a long-run relationship between environmental quality, public spending on the environment and life expectancy in China. The empirical finding reported that life expectancy reacts differently in response to positive and negative shocks of environmental quality both in the long- and short-run. Environmental quality and spending on the environment increase the life expectancy, furthermore, population has a positive and significant association with life expectancy only in short run while in long run it does not affect. Hence, the government needs to roll out policies to enhance environmental quality and ensure adequate funding for environmental preservation, to achieve both longevity of society and sustainability of the eco-system.

Download full-text PDF

Source
http://dx.doi.org/10.1002/hpm.3100DOI Listing

Publication Analysis

Top Keywords

life expectancy
28
environmental quality
28
spending environment
16
quality public
12
public spending
12
nonlinear autoregressive
8
autoregressive distributed
8
distributed lag
8
environmental
8
environment life
8

Similar Publications

Despite the study of BCR::ABL1-positive and -negative myeloproliferative neoplasms (MPNs) providing seminal insights into cancer biology, tumor evolution and precision oncology over the past half century, significant challenges remain. MPNs are clonal hematopoietic stem cell-derived neoplasms with heterogenous clinical phenotypes and a clonal architecture which impacts the often-complex underlying genetics and microenvironment. The major driving molecular abnormalities have been well characterized, but debate on their role as disease-initiating molecular lesions continues.

View Article and Find Full Text PDF

Type 2 diabetes (T2D) is a progressive metabolic disorder that could be an underlying cause of long-term complications that increase mortality. The assessment of the probability of such events could be essential for mortality risk management. This work aimed to establish a framework for risk predictions of macrovascular complications (MVC) and diabetic kidney disease (DKD) in patients with T2D, using real-world data from the Swedish National Diabetes Registry (NDR), in the presence of mortality as a competing risk.

View Article and Find Full Text PDF

This study examines remaining life expectancy (RLE) after a cancer diagnosis, focusing on age, sex, cancer type, and metabolic syndrome (MS) components, using data from the SIDIAP database in Catalonia (2006-2017). RLE was analyzed for 13 cancer types, stratified by sex and MS components. The cohort study includes 183,364 individuals followed from diagnosis until death, transfer, or study end (December 2017).

View Article and Find Full Text PDF

Introduction: Ovarian cancer is one of the most lethal gynecological cancers. Despite diagnosis and treatment advances, survival rates have not increased over the past 32 years. This study estimated and reported the global burden of ovarian cancer during the past 32 years to inform preventative and control strategies.

View Article and Find Full Text PDF

Background: Permanent Pacemaker (PPM) implantation is essential in treating cardiac arrhythmias and conduction disorders, especially in patients with heart failure. Although PPM has been proven to improve quality of life and prolong life expectancy in patients with cardiac conduction disorders, post implantation complications still often occur.

Purpose: This study aimed to identify types of complications and associated predictors in patients undergoing PPM implantation.

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!