Abstract

Green growth of sectors with extensive energy and environmental impacts represented by the iron and steel (IS) industry plays a critical role in fostering sustainable and inclusive development. This paper constructs an updated evaluation model for green growth estimation by combining a global Malmquist–Luenberger index and an epsilon-based measure. A comprehensive decomposition framework is further posited to reveal underlying determinants of green growth. Research findings based on empirical tests from the panel data of Chinese IS firms spanning 2010–2017 demonstrate that the green growth level increased by 0.80% annually and followed the east–central–west gradient distribution. Technology progress and scale efficiency are two main contributors to China’s IS industrial green growth, whereas managerial inefficiency and scale bias of technical change hinder the productivity gains. The aforementioned factors also play different roles in enhancing the green growth of divergent regions. In accordance, context-specific practical implications and suggestions are put forward based on the research findings to facilitate the green growth of China’s IS industry.

Highlights

  • As a new pattern of growth, green growth has been promoted worldwide to address the dilemma of ecological deterioration and economic expansion for more than a decade [1,2]

  • With reference to the studies conducted by Oh [48] and Tone and Tsutsui [38], we construct a global Malmquist–Luenberger (GML) index based on the epsilon-based measure to comprehensively evaluate the green growth degree of a given decision-making unit (DMU)

  • This study identifies the following variables according to the concept of green growth, as well as by referencing related studies

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Summary

Introduction

As one of the most critical contributors to Chinese economic prosperity, the iron and steel (IS) industry plays a critical role in resource exhaustion and ecological deterioration. Against this background, the Chinese government has issued a group of regulations, as well as a series of targets, to eliminate outdated production capacity and decontaminate the production process [4,5,6]. The Chinese iron and steel industry is the largest producer and energy consumer in the world compared to other IS producing countries [9] It accounts for about 15% of the country’s total energy consumption and is currently the third biggest carbon dioxide emitter domestically [10].

Literature Review
Model Construction
Variables and Data
Measurement of Green Growth
Decomposition of Green Growth Index
Conclusions and Implications
Findings
Future Studies

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