scholarly journals Monitoring Cointegrating Polynomial Regressions: Theory and Application to the Environmental Kuznets Curves for Carbon and Sulfur Dioxide Emissions

Econometrics ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 12
Author(s):  
Fabian Knorre ◽  
Martin Wagner ◽  
Maximilian Grupe
Keyword(s):  
Regression Models ◽  
Moving Window ◽  
Industrialized Countries ◽  
So2 Emissions ◽  
Sulfur Dioxide Emissions ◽  
Least Squares Estimators ◽  
Oil Price Shock ◽  
Environmental Kuznets Curves ◽  
Integrated Processes ◽  
Polynomial Regressions

This paper develops residual-based monitoring procedures for cointegrating polynomial regressions (CPRs), i.e., regression models including deterministic variables and integrated processes, as well as integer powers, of integrated processes as regressors. The regressors are allowed to be endogenous, and the stationary errors are allowed to be serially correlated. We consider five variants of monitoring statistics and develop the results for three modified least squares estimators for the parameters of the CPRs. The simulations show that using the combination of self-normalization and a moving window leads to the best performance. We use the developed monitoring statistics to assess the structural stability of environmental Kuznets curves (EKCs) for both CO2 and SO2 emissions for twelve industrialized countries since the first oil price shock.

On Consistency of Estimators in Simple Linear Regression Models

2002 ◽  
Vol 53 (3-4) ◽  
pp. 261-264 ◽  
Author(s):  
Anindya Roy ◽  
Thomas I. Seidman
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Regression Models ◽  
Sufficient Condition ◽  
Simple Linear Regression ◽  
Linear Regression Models ◽  
Least Squares Estimators

We derive a property of real sequences which can be used to provide a natural sufficient condition for the consistency of the least squares estimators of slope and intercept for a simple linear regression models.

scholarly journals Low-carbon governance, fiscal decentralization and sulfur dioxide emissions: Evidence from a quasi-experiment with Chinese heavy pollution enterprises

2022 ◽  
Author(s):  
Ping Guo ◽  
Jin Li ◽  
Jinsong Kuang ◽  
Yifei Zhu ◽  
Renrui Xiao ◽  
...  
Keyword(s):  
Sulfur Dioxide ◽  
Environmental Governance ◽  
Fiscal Decentralization ◽  
Mediating Effect ◽  
Low Carbon ◽  
So2 Emissions ◽  
Firm Level ◽  
Sulfur Dioxide Emissions ◽  
Level Data ◽  
Heavy Pollution

Abstract This paper investigates the effects of enterprise environmental governance under low-carbon pilot policies in China with a difference in differences (DID) design. In examining the development of these policies, we focus on exploring their effects on sulfur dioxide emissions of heavily polluting enterprises based on prefectural city- and firm-level data from 2003-2014. Overall, the policies significantly increased enterprise SO2 emissions, and the underlying reason being that investments in CO2 control crowded out investment in SO2 control in enterprises in low-carbon pilot regions. We also find that the implementation of low-carbon pilot policies resulted in greater SO2 emissions from state-owned enterprises and enterprises in western regions than from non-state-owned enterprises and those in eastern regions. It is further found that fiscal decentralization and the associated mediating effect of market segmentation promote enterprises' CO2 control and inhibit their SO2 control. This study helps us re-examine the overall environmental effects of low-carbon policies and has implications for the revision and improvement of environmental governance policies in developing countries.

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