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The Endogenous Energy-Saving Technological Change in China’s Industrial Sector - Original PDF
The Endogenous Energy-Saving Technological Change in China’s Industrial Sector - Original PDF
نویسندگان: Xubo He خلاصه: Preface Decarbonization of the Chinese economy largely depends on the degree of decar- bonization of industry. Since improving energy efficiency and increasing energy R&D investment are arguably the chief drivers of the sustainable growth of the Chinese industry, this book attempts to study energy efficiency and energy R&D investment under one normalized economic model. By distinguishing between energy R&D investment and non-energy R&D investment and drawing on the paradigm of neoclassical economics, I start by clarifying the basic concept of energy- saving technological change (hereinafter referred to as “ESTC”) and the related endogenous mechanism, proceed to integrate under the existing endogenous growth model two different mechanisms whereby R&D heterogeneity affects energy effi- ciency, namely the effect of factor substitution and the effect of increased effective energy input, and finally build a framework of analysis and a mathematical model of R&D heterogeneity-based endogenous ESTC in industry. I analyze the model with the tools of competitive equilibrium, centrally planned equilibrium, and numerical simulation and empirically test the major assumptions of the model with industrial statistics and econometric analytical tools, namely the mixed data regression model, the panel data regression model, and the dynamic panel data regression model. This book focuses on how R&D heterogeneity influences endogenous ESTC in China’s industrial sectors and endeavors to answer the following questions: How does R&D heterogeneity bring about endogenous ESTC? How are the rates of ESTC in the industrial sectors estimated? What is the impact of R&D heterogeneity on the rates of ESTC in the industrial sectors? This book sets itself apart from other existing research by the following work and potentially innovative points

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