Spatial and temporal evolution characteristics of urban green innovation efficiency in Northeast China

Abstract

In the strategic context of promoting the comprehensive revitalization of Northeast China, green innovation, as the integration of the two development concepts of innovation-driven and green development, has become an essential means to promote sustainable and high-quality development in Northeast China. By constructing the Super-SBM model with undesired output and the Global Malmquist-Luenberger index model, the green innovation efficiency and green innovation total factor productivity of 34 prefecture-level cities in Northeast China from 2011 to 2020 are measured. Then the natural break point classification method, standard deviation ellipse and Dagum Gini coefficient decomposition method are used to explore their spatial and temporal evolution characteristics. Based on the measured results of green innovation efficiency and green innovation total factor productivity in Northeast China, all the cities are classified into four types: high-high, high-low, low-high and low-low. The study results show that the green innovation efficiency (GIE) of cities in the northeast region shows an excellent upward trend, and the distribution pattern of “strong in the North and weak in the South” is more prominent. The green innovation total factor productivity shows a fluctuating decline, and technical efficiency and technological progress inhibit the improvement of green innovation efficiency. The centre of gravity of efficiency has generally migrated towards the southwest, green innovation efficiency among cities has gradually tended to develop in a balanced manner, and inter-provincial differences are the primary source of spatial differences in green innovation efficiency. The study concludes that the northeast region should continuously improve its green innovation resource allocation capacity, accelerate the green transformation and upgrading of industrial structure, clarify green innovation subjects, optimize the green innovation environment and formulate differentiated development strategies to promote the synergistic development of green innovation among cities.

Digital economy and fiscal decentralization: Drivers of green innovation in China

“…The method for calculating regional GIE in China proposed by Wu and Fan [ 76 ] is defined as Equations (4) , (5) : In Equations (4) , (5) , the measure of Green Innovation Efficiency (GIE) for a province, denoted by , indicates higher efficiency with larger values. The variable refers to the weighted average of all input values across decision units, while denotes the weighted average of desired outputs, and signifies the weighted average of non-desired outputs.…”

Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China

“…With the promotion of ecological civilization construction and the implementation of a new urbanization strategy, the development mode of green transformation is accelerated [61]. GLUUL efficiency in Northeast China has been greatly improved under the substantial support of the "comprehensive revitalization" strategy [62].…”

Spatiotemporal evolution and driving factors of urban green technology innovation efficiency in the Chengdu-Chongqing Economic Circle of China

“…However, few studies have applied the S-SBM model to the measurement of urban GTIE. In terms of evaluation indexes, existing studies mainly measure the input elements of GTIE from dimensions such as capital input and human resources, and measure the desired outputs of GTIE from dimensions such as technical and economic benefits (Fan et al, 2011;Cao and Yu, 2015;Wu and Fan, 2023). It is not difficult to find that resource inputs and environmental benefits are not considered in the indicator system of GTIE constructed by existing studies.…”