Search

• Pilot Free Trade Zones (PFTZ) can promote green technology innovation efficiency. • Providing reference for developing countries to develop green economy. • Proposing a more holistic index system of green technology innovation efficiency. • The impact of PFTZ exhibits significant spatial heterogeneity. • Market potential affects the green effect of PFTZ. The Pilot Free Trade Zone (PFTZ) policy represents a significant step in China's institutional innovation and broader opening-up, crucial for fostering green and high-quality economic growth. The existing literature has conducted in-depth studies on the economic effects, energy conservation, emission reduction and green innovation of PFTZs, but the effect on green technology innovation efficiency (GTIE) remains underexplored. Institutional innovation in the PFTZs will profoundly affect regional green development, and green innovation, and will certainly affect the regional GTIE. Based on this, this paper uses the city-level data of prefecture-level cities in China from 2005 to 2020 to empirically test the impact of PFTZ establishment on GTIE. First, the Super-SBM model was applied to evaluate the GTIE across 281 Chinese cities. Then, taking the establishment of PFTZs as a quasi-natural experiment, the multi-stage differentially differential model is constructed to empirically assess PFTZ policy's impact on GTIE. The findings indicate that PFTZs can significantly enhance the GTIE. This improvement is facilitated through four pathways: the digital economy, the high-tech industries agglomeration, innovation agglomeration, and talent agglomeration. The results offer strategies for balancing external openness with environmental protection in developing countries and furnish empirical support for creating high-quality development frameworks. [ABSTRACT FROM AUTHOR]

• A new approach to research on the green transformation of EU countries was proposed. • A profound analysis of current level of green transformation in EU was conducted. • Development patterns of green transformation of EU countries were described. Green transformation has become one of the most important directions in the further development of the world. It involves the development of green technologies and the creation of legal regulations enforcing, for example, saving energy or reducing the emissions of greenhouse gases, as well as any other activities aimed at changing society's attitude towards the acceptance of – frequently more expensive but more environment-friendly – technological solutions and legal norms. Thus green transformation can be defined as combining economic growth with caring about the environment in order to guarantee a high quality of life for present and future generations at the level which is attainable due to civilisational development, as well as to an effective and rational use of the available resources. Still, there is no single globally accepted way to this transformation. It is proceeding in a variety of ways and depends on many different factors. The main purpose of the paper is a comparative analysis of the directions of changes occurring in the process of green transformation in EU countries. The added value of the research presented in the paper and its novelty is the analysis of the current patterns of green transformation in EU countries. The paper concentrated on recognizing them and drawing attention to the unfavourable directions of this transformation as well as to its positive aspects. The changes in the process of green transformation were analysed based on data used by the OECD to describe green growth in two periods: 2004 or 2005 as initial data and the last available data (usually 2018 or 2019). For this purpose the TOPSIS method was applied. The EU countries were divided into groups according to their way of applying green transformation. The provided research allows to better understand the course of this transformation in various EU countries. [ABSTRACT FROM AUTHOR]

[Display omitted] • Trying to break out of the stereotypical thinking of inherent study areas. • Use of a three-stage DEA model to make efficiency results more scientific. • Multidimensional identification of differences between strategic areas. • Valuable regionally targeted policy recommendations are made. The Yangtze River Economic Belt and the Yellow River Basin are important economic regions and ecological barriers in China. Promoting the development of the Yangtze River Economic Belt and promoting ecological protection and high-quality development in the Yellow River Basin are major regional strategies implemented by the Chinese government, and the green growth of the two regions is important for the high-quality sustainable development of the whole China. To investigate the regional differences in green growth efficiency of the same type of geographical units, this paper measures the green growth efficiency and decomposition indicators of the Yangtze River Economic Belt and the Yellow River Basin from 2010 to 2020 using a three-stage DEA model and the Malmquist index method and establishes a panel Tobit model to identify the influencing factors of green growth efficiency. The results show that: ①After using the three-stage DEA model to remove the influence of external environment and stochastic factors, the mean values of green growth efficiency of Yangtze River Economic Zone and Yellow River Basin from 2010 to 2020 are 0.996 and 1.089, respectively. The change of green growth efficiency of Yangtze River Economic Zone is slightly higher than that of Yellow River Basin. ②The Malmquist indexes of the Yangtze River Economic Belt and the Yellow River Basin have generally increased, with the Technological Progress Index, which characterizes technological innovation, being the main endogenous driver of green growth efficiency in the Yellow River Basin, while the technical efficiency index, which characterizes factor mix and management level, is more significant in the Yangtze River Economic Belt. ③The Tobit model regression results show that the factors influencing green growth efficiency are also different in the two regions. Among them, the urbanization rate has a significantly positive effect on the two regions, while the effects of environmental regulation and research intensity are not significant. External openness has a suppressive effect on green growth efficiency in the Yangtze River Economic Belt, while the level of financial development and human capital negatively affect green growth efficiency in the Yellow River Basin. Therefore, green development in the new era should pay attention to the differences between different regions, and make appropriate development policies according to the local conditions of the development status of different regions. [ABSTRACT FROM AUTHOR]

• Construct index system to evaluate coupling coordination degree of socioeconomic and ecological environment in the Loess Plateau, China. • The coupling coordination degree in the Loess Plateau has been improved during 2013–2018 but not ideal. • Provide an excellent comprehensive evaluation method for the regional sustainable development. • Coupling coordination degree in the Loess Plateau show distinct spatial characteristics. The underdeveloped areas are facing many challenges in ecological environment and social transformation. The benign interaction relationship between socioeconomic development and ecological environment is essential to achieve sustainable development goals (SDGs) for underdeveloped areas. This paper selected the prefecture-level cities on the Loess Plateau as the study case, by evaluating the coupling coordination degree (CCD) between socioeconomic (SE) and ecological environment (EE), the temporal and spatial variations of the Loess Plateau was discussed. Based on the evaluation index system constructed, the dynamic deviation maximization method and coupling coordination degree method were adopted to evaluate the CCD from 2013 to 2018. The evaluation results showed that the coupling coordination degree of the Loess Plateau is not ideal, and most prefecture-level cities have low CCD score. More than 70% of the cities showed primary coordination and tiny coordination, and no city located to good coordination. There are 17 cities (70.83%) with CCD growth rates below 2%, and four cities showed a decreasing trend of CCD. To achieve sustainable cities and society, the government should increase financial support and reduce tax for green industries, and increase the income level of employees to avoid the loss of labor force. In addition, by increasing the intensity of environmental regulation and policy support for scientific and technological innovation, which can promote the transformation of resource-based cities and high-polluting enterprises, and reduce the damage to the ecological environment. [ABSTRACT FROM AUTHOR]