Published January 2021 | Version v1
Journal article

Stylized heterogeneous dynamic links among healthcare expenditures, land urbanization, and CO2 emissions across economic development levels

  • 1. School of Economics, Zhejiang University, Hangzhou 310058 (China)
  • 2. College of Economics and Management, Henan Agricultural University Zhengzhou (China)
  • 3. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu (China)
  • 4. College of Economics, Sichuan Agricultural University Chengdu, Chengdu (China)
  • 5. School of Economics and Management, North China Electric Power University, Beijing 102206 (China)

Description

Highlights: • Integrated healthcare expenditures to STIRPAT model as a component of 'Affluence' • Westerlund's cointegration and dynamic common correlated effects mean group method were applied. • Healthcare expenditures, land urbanization, and CO2 emissions were interlinked in the long-run. • Bilateral positive causal bond of healthcare expenditures with land urbanization and CO2 emissions • Unilateral positive (negative) causal bond of land urbanization (squared land urbanization) with CO2 emissions This research examines the heterogeneous dynamic links among healthcare expenditures, land urbanization, and CO2 emissions across the development levels of China. To this end, data of 27 Chinese provinces are considered from 1999 to 2018. Theoretically, this research developed a healthcare expenditures-augmented Stochastic Impacts of Regression by Population, Affluence, and Technology (STIRPAT) model to incorporate healthcare expenditures as a determinant of affluence. Empirically, this research established a system of simultaneous equations based on the healthcare expenditures-augmented STIRPAT model to estimate the links among the variables. As a pre-analysis, second-generation Westerlund cointegration is applied and found the long-term equilibrium association among the variables. The long-run estimations and short-run causality are done by employing dynamic common correlated effects mean group method (DCCEMGM) and Dumitrescu-Hurlin causality. A heterogeneous long-run equilibrium linkage is confirmed to exist among the variables of interest. Concerning the long-run estimates, firstly, the healthcare expenditures growth and land urbanization exhibited a bilateral positive link. Secondly, CO2 emissions and healthcare expenditures growth manifested the existence of a bilateral positive link. And thirdly, a unilateral positive (negative) link is revealed to exist from a linear term (squared term) of land urbanization to CO2 emissions. Concerning the short-run results, firstly, a bilateral causal bond exists between the land urbanization and healthcare expenditures growth. Secondly, a bilateral causal bond prevails between CO2 emissions growth and healthcare expenditures growth. Finally, a unilateral causal bond is operational from land urbanization to CO2 emissions growth. In terms of the nature of the link, the long-run findings are consistent across the data samples. However, considering the degree of influence, heterogeneity is confirmed across the development levels for both long- and short-run. It infers that relatively more (less) developed regions showed relatively strong (weak) influence. Based on empirical findings, relevant policies are recommended.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2020.142228

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2020.142228;
PII
S0048969720357570;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
753
Journal Page Range
vp.
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54064357
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
CARBON DIOXIDE; ECONOMIC DEVELOPMENT; ENVIRONMENTAL POLICY; STOCHASTIC PROCESSES
Descriptors DEC
CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; GOVERNMENT POLICIES; OXIDES; OXYGEN COMPOUNDS

Optional Information

Copyright
Copyright (c) 2020 Elsevier B.V. All rights reserved.