Next Article in Journal
A New Approach to Identify Social Vulnerability to Climate Change in the Yangtze River Delta
Next Article in Special Issue
Study on Environment Performance Evaluation and Regional Differences of Strictly-Environmental-Monitored Cities in China
Previous Article in Journal
A Spatial Disaster Assessment Model of Social Resilience Based on Geographically Weighted Regression
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(12), 2237; doi:10.3390/su9122237

The STIRPAT Analysis on Carbon Emission in Chinese Cities: An Asymmetric Laplace Distribution Mixture Model

School of Economics and Management, Beihang University, Beijing 100191, China
This paper is an extended version of our paper published in the Second Global Conference on Theory and Applications of OR/OM for Sustainability (GCTAOS 2017) with ID: 106.
*
Author to whom correspondence should be addressed.
Received: 2 October 2017 / Revised: 18 November 2017 / Accepted: 29 November 2017 / Published: 4 December 2017
View Full-Text   |   Download PDF [389 KB, uploaded 4 December 2017]   |  

Abstract

In cities’ policy-making, it is a hot issue to grasp the determinants of carbon dioxide emission in Chinese cities. And the common method is to use the STIRPAT model, where its coefficients represent the influence intensity of each determinants of carbon emission. However, less work discusses estimation accuracy, especially in the framework of non-normal distribution and heterogeneity among cities’ emission. To improve the estimation accuracy, this paper employs a new method to estimate the STIRPAT model. The method uses a mixture of Asymmetric Laplace distributions (ALDs) to approximate the true distribution of the error term. Meantime, a designed two-layer EM algorithm is used to obtain estimators. We test the robustness via the comparison results of five different models. We find that the ALDs Mixture Model is more reliable the others. Further, a significant Kuznets curve relationship is identified in China. View Full-Text
Keywords: carbon emission; ALDs mixture model; EM algorithm; heterogeneity; Chinese cities carbon emission; ALDs mixture model; EM algorithm; heterogeneity; Chinese cities
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wang, S.; Zhao, T.; Zheng, H.; Hu, J. The STIRPAT Analysis on Carbon Emission in Chinese Cities: An Asymmetric Laplace Distribution Mixture Model. Sustainability 2017, 9, 2237.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top