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Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China
16 references·8 citing·29 second hop
Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China (2012)Asymmetric adjustment of the dynamic rela…Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis (2010)Does urbanization lead to les…Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks (2003)Minimum Lagrange Multiplier U…Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis (2002)Further Evidence on the Great…Cointegration and Threshold Adjustment (2001)Cointegration and Threshold A…Unit-Root Tests and Asymmetric Adjustment With an Example Using the Term Structure of Interest Rates (1998)Unit-Root Tests and Asymmetri…Threshold Cointegration (1997)Threshold CointegrationFurther evidence on breaking trend functions in macroeconomic variables (1997)Further evidence on breaking …Residual-based tests for cointegration in models with regime shifts (1996)Residual-based tests for coin…Efficient Tests for an Autoregressive Unit Root (1996)Efficient Tests for an Autore…Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Tests for Parameter Instabili…Tests for Parameter Instability in Regressions with 1(1) Processes (1992)Tests for Parameter Instabili…Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis (1992)Further Evidence on the Great…Efficient Tests for an Autoregressive Unit Root (1992)Efficient Tests for an Autore…Testing for a Unit Root in Time Series Regression (1988)Testing for a Unit Root in Ti…China statistical yearbook (1988)China statistical yearbookDistribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Distribution of the Estimator…The spatial threshold effect and its regional boundary of new-type urbanization on energy efficiency (2022)The spatial threshold effect …Industrial co-agglomeration, green technological innovation, and total factor energy efficiency (2022)Industrial co-agglomeration, …City centrality, population density and energy efficiency (2022)City centrality, population d…Exploring the effect of producer services agglomeration on China’s energy efficiency under environmental constraints (2020)Exploring the effect of produ…City size and energy conservation: Do large cities in China consume more energy? (2020)City size and energy conserva…Domestic R&D, technology acquisition, technology assimilation and China's industrial carbon intensity: Evidence from a dynamic panel threshold model (2019)Domestic R&D, technology acqu…Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis (2019)Does technological progress a…Decarbonizing China’s Urban Agglomerations (2018)Decarbonizing China’s Urban A…Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Statistical analysis of cointegration vectors (1988)Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models (1991)The saving and investment nexus for China: evidence from cointegration tests (2005)Introductory Econometrics for Finance (2008)A Monetary History of the United States 1867-1960 (1964)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Bounds testing approaches to the analysis of level relationships (2001)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis (1989)Trends and random walks in macroeconmic time series (1982)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Unit root tests in panel data: asymptotic and finite-sample properties (2002)A simple panel unit root test in the presence of cross‐section dependence (2007)Inference About the Change-Point in a Sequence of Random Variables (1970)Testing for the Constancy of Parameters Over Time (1989)What is an Oil Shock? (2000)Time Series Regression with a Unit Root (1987)LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power (2001)Unit root tests for panel data (2001)Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia (2013)The Quarterly Journal of Economics (2024)Measuring Pro-Poor Growth (2001)Capitalism with Chinese Characteristics (2008)An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data (2020)A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks (2006)The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy (2014)A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test (1999)
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References

  • 1979Distribution of the Estimators for Autoregressive Time Series with a Unit Root23,183 cited
  • 1988Testing for a Unit Root in Time Series Regression19,288 cited
  • 1988China statistical yearbook12,378 cited
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  • 1993Tests for Parameter Instability and Structural Change With Unknown Change Point4,325 cited
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  • 1992Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis3,283 cited
  • 1996Residual-based tests for cointegration in models with regime shifts2,521 cited
  • 2003Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks2,398 cited
  • 1997Further evidence on breaking trend functions in macroeconomic variables2,035 cited
  • 2010Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis1,264 cited
  • 1998Unit-Root Tests and Asymmetric Adjustment With an Example Using the Term Structure of Interest Rates1,203 cited
  • 2001Cointegration and Threshold Adjustment1,149 cited
  • 1997

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Threshold Cointegration
1,042 cited
  • 1992Tests for Parameter Instability in Regressions with 1(1) Processes944 cited
  • Cited by

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    • 2022City centrality, population density and energy efficiency81 cited
    • 2018Decarbonizing China’s Urban Agglomerations80 cited
    • 2020Exploring the effect of producer services agglomeration on China’s energy efficiency under environmental constraints74 cited
    • 2019Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis73 cited
    • 2020City size and energy conservation: Do large cities in China consume more energy?71 cited
    • 2022Industrial co-agglomeration, green technological innovation, and total factor energy efficiency71 cited