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Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis
16 references·1 citing·36 second hop
Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis (2019)Does technological progress and industria…Industrial structure, technical progress and carbon intensity in China's provinces (2017)Industrial structure, technic…Internet usage, electricity consumption and economic growth in Australia: A time series evidence (2015)Internet usage, electricity c…Factors influencing renewable electricity consumption in China (2015)Factors influencing renewable…Effects of financial development, economic growth and trade on electricity consumption: Evidence from post-Fukushima Japan (2015)Effects of financial developm…Spatial econometrics: from cross-sectional data to spatial panels (2014)Spatial econometrics: from cr…On the determinants of renewable energy consumption: International evidence (2014)On the determinants of renewa…The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries (2013)The nexus of electricity cons…Matlab Software for Spatial Panels (2012)Matlab Software for Spatial P…A survey of the electricity consumption-growth literature (2009)A survey of the electricity c…Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change (2003)Why did the energy intensity …Simple diagnostic tests for spatial dependence (1996)Simple diagnostic tests for s…Spatial Econometrics: Methods and Models (1989)Spatial Econometrics: Methods…Spatial Econometrics: Methods and Models (1988)Spatial Econometrics: Methods…Spatial Processes, Models and Applications (1983)Spatial Processes, Models and…Spatial Processes: Models and Applications (1982)Spatial Processes: Models and…A Computer Movie Simulating Urban Growth in the Detroit Region (1970)A Computer Movie Simulating U…How to control China's energy consumption through technological progress: A spatial heterogeneous investigation (2021)How to control China's energy…Innovation Diffusion As a Spatial Process (1967)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)A measure of spatial stratified heterogeneity (2016)Multiscale Geographically Weighted Regression (MGWR) (2017)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Bounds testing approaches to the analysis of level relationships (2001)The renewable energy consumption–growth nexus in Central America (2010)The renewable energy, growth and environmental Kuznets curve in Turkey: An ARDL approach (2015)Energy innovation and renewable energy consumption in the correction of air pollution levels (2017)Analysis of Panel Data (2003)Dynamic spatial panels: models, methods, and inferences (2011)THE SLX MODEL (2015)Econometric Analysis of Panel Data (2021)Digital economy and carbon emission performance: Evidence at China's city level (2022)Initial conditions and moment restrictions in dynamic panel data models (1995)Local Indicators of Spatial Association—LISA (1995)Initial conditions and moment restrictions in dynamic panel data models (1998)The role of renewable energy technological innovation on climate change: Empirical evidence from China (2019)Per-capita carbon emissions in 147 countries: The effect of economic, energy, social, and trade structural changes (2021)Assessing the Digital Economy and its Carbon-Mitigation Effects: The Case of China (2022)Spatial pattern and ecological analysis (1989)Testing Weak Cross-Sectional Dependence in Large Panels (2014)The Analysis of Spatial Association by Use of Distance Statistics (1992)General Diagnostic Tests for Cross Section Dependence in Panels (2004)Spatial Externalities, Spatial Multipliers, And Spatial Econometrics (2003)Strategic Interaction Among Governments: An Overview of Empirical Studies (2003)Applied Spatial Econometrics: Raising the Bar (2010)Properties of Tests for Spatial Dependence in Linear Regression Models (1991)Under the hood Issues in the specification and interpretation of spatial regression models (2002)Panel data models with spatially correlated error components (2006)Local Geographic Spillovers between University Research and High Technology Innovations (1997)Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances (2009)Effect of green technology innovation on green total factor productivity in China: Evidence from spatial durbin model analysis (2020)Does internet development improve green total factor energy efficiency? Evidence from China (2021)High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach (2021)
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250 cited
  • 2015Effects of financial development, economic growth and trade on electricity consumption: Evidence from post-Fukushima Japan242 cited
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    • 2021How to control China's energy consumption through technological progress: A spatial heterogeneous investigation71 cited