How to Evaluate the Green and High-Quality Development Path? An FsQCA Approach on the China Pilot Free Trade Zone

Research on the impact of pilot free trade zones on urban green development: A case study based on the Yangtze River Economic Belt in China

Green development is an important component of China's new development concept. Pilot Free Trade Zones (PFTZs), as "experimental fields" for promoting reform, deepening opening-up, and raising the level of an open economy, are important open areas for China to promote green development. However, existing related research is not extensive. This article takes PFTZs as quasi-natural experiments, with the Yangtze River Economic Belt (YREB) as the research area. Based on urban panel data from 2006 to 2020, using multi-period differences-in-differences and spatial differences-in-differences models, it explores the impact effects of PFTZs on urban green development and their potential mechanisms. The research findings indicate: (1) Overall, PFTZs significantly promote urban green development, with variations in impact effects due to different batches and locations of establishment. (2) Mechanism tests show that PFTZs mainly promote urban green development by stimulating technological innovation, industrial upgrading, and reducing government intervention. (3) From the perspective of spatial spillover effects, the establishment of PFTZs not only promotes the green development process in the host cities but also has a promoting effect on the green development of surrounding cities.

Assessing China's development zones and carbon emissions

The present article evaluates establishment of development zones and its association with carbon emissions. In the process of industrialization, carbon emissions in underdeveloped regions of the world increase with economic growth. In order to promote economic growth in the western region and strengthen the management of enterprise pollution emissions, the Chinese government has set up hundreds of development zones. Existing research shows that development zone establishment can promote economic growth; however, literature is scarce when the relationship is tested across region. Based on the panel data of five provinces with relatively backward economy in western China from 2001 to 2017, this paper constructs a "multi-period difference-in-difference" (DID) model with the establishment of development zones as a "quasi-natural experiment" to test the relationship. Findings reveal that development zone establishment increases carbon emissions in the region, and has a significant inhibitory effect on carbon emissions at national level. The conclusions of this paper provide empirical evidence and policy implications for reducing carbon emissions in economically underdeveloped areas.

China's pilot free trade zone and green high-quality development: an empirical study from the perspective of green finance

Achieving the integration of green and economic development has become the key to promoting high-quality economic development in China. In the context of dual-cycle development, a higher level of opening up will be an important prerequisite for achieving this goal. This article uses panel data from 30 provinces in China from 2008 to 2020 as the research sample and takes the establishment of the Pilot Free Trade Zone (PFTZ) as a quasi-natural experiment. By constructing the Green Dual-Cycle High-Quality Development (GDHD) indicator system, taking green finance as the starting point, industrial structure adjustment and technological innovation ability as the perspective of differentiation. This article uses the difference-in-differences method and the intermediary effect model to explore the impact of PFTZ on regional green high-quality development. The study found that establishing PFTZ has significantly promoted regional green high-quality development, and this effect remains valid under multiple robustness tests. Further research has found that, under the advantages of green finance in PFTZ, regional industrial restructuring and the improvement of green innovation capabilities are the main ways to achieve this goal. This study provides a new development path for China's PFTZ to promote high-quality regional development better.

Environmental effects of the establishment of pilot free trade zones: evidence from Chinese resource-based enterprises

The establishment of pilot free trade zones (FTZs) is a key strategic measure taken by China to promote high-quality economic development, but there are still gaps in the research on how the establishment of FTZs affects the environmental performance of enterprises from a micro perspective. Using data from China's Shanghai and Shenzhen A-share resource-based listed enterprises from 2010 to 2020, this paper uses the difference-in-difference model to examine the impact of the establishment of FTZs on the environmental performance of enterprises. The study finds that after the city that the enterprise located is set up as a free trade zone (FTZ), enterprises' environmental performance has been significantly improved, and this effect has a continuous positive impact. As far as the influence mechanism is concerned, the main driving forces for the establishment of FTZs are technology effect, competition effect, and resource allocation effect, which are embodied in the significant improvement of enterprises' green technology innovation, total factor productivity, and environmental protection investment. The environmental performance of non-state-owned and large-scale resource-based enterprises is more prominently affected by the establishment of FTZs. In capital-intensive industries and the eastern region, the environmental performance improvement effect of the establishment of FTZs is more obvious. This study provides targeted suggestions for resource-based enterprises to effectively implement the environmental green development strategy.

How does national development zone policy affect carbon emissions in China? New evidence from a quasi-natural experiment

The expansion of China's development zones has made great contributions to economic development, as well as provided practical guidance for other developing countries to implement development zone policies. However, in the context of global advocacy of low carbon, literature about how the development zone policy affect carbon emissions is poor, especially in China at the urban level. Therefore, this study takes China's development zone policy as a quasi-natural experiment, using the panel data of 285 cities in China from 2003 to 2020, and adopting the DID model to analyze its impact on carbon emissions. After a series of robustness tests including placebo test, dynamic test (all independent variables are lagged by one period), endogeneity test, and parallel trend test, the results are basically robust. The findings show that the development zone policy indeed significantly reduces carbon emissions. In addition, we find that cities with higher resource endowments, cities in the eastern and central regions, and other larger cities across the country have better carbon emissions reduction effects. To a certain extent, the research in this paper fills the gap of theoretical research on carbon emissions in terms of the development zone policy, and provides some practical basis for future research in the field of carbon emissions.

Do pilot free trade zones improve the green total factor productivity? Evidence from a quasi-natural experiment in China

China's pilot free trade zone (PFTZ) is an important national strategy to achieve high-quality development, so it is necessary to discuss the effect of PFTZ implementation on green total factor productivity (GTFP). Based on the data from 279 cities in China from 2004 to 2018, this study takes the establishment of PFTZ as a quasi-natural experiment and uses the difference-in-differences (DID) method to systematically evaluate the effect of PFTZ on urban GTFP. The empirical results of this paper are shown as follows: Firstly, the construction of PFTZ has a significant effect on urban GTFP, and this effect has increased gradually over time. Secondly, the construction of PFTZ mainly promotes the urban GTFP by increasing the level of science and technology innovation, reducing government intervention and improving the level of human capital. Thirdly, the effect of PFTZ construction on GTFP is more pronounced in regions with earlier waves of PFTZ and in western regions where environmental concerns are higher. In addition, there is a significant positive linkage between the construction of the PFTZ and the Belt and Road Initiative to improve the urban GTFP. The findings of this paper enrich the relevant literature on PFTAs and sustainable development and provide a theoretical basis for further promotion of PFTZ construction.

Spatio-Temporal Analysis and Influencing Factors of Rural Resilience from the Perspective of Sustainable Rural Development

Rural resilience is not only a comprehensive reflection of "thriving businesses, pleasant living environments, social etiquette and civility, effective governance, and prosperity". It is also the unity of resilience in industry, ecology, culture, organization and livelihood. This paper uses the entropy weight-TOPSIS method to measure the rural resilience level in 31 regions in China and analyzes the configuration of influencing factors with the Fuzzy-set qualitative comparative analysis (fsQCA). The results of the study are as follows: (1) The level of rural resilience in China showed a stable increase from 2010 to 2019, but the overall level was low, with large regional disparities, showing a significant positive spatial correlation. (2) In the high-level rural resilience explanatory path, labor-driven, cultural-driven and market-labor-technology linkage-driven play a core role, while administrative force is not playing a significant role. In the explanation path of non-high level rural resilience, the market-labor absent, administrative-market absent and cultural absent hinder the improvement of rural resilience. In summary, we put forward the following suggestions. Policy renovation and support should be strengthened. Adaption to local conditions should be considered in order to achieve sustainable and differentiated development. Development should be coordinated and balanced in different regions so as to achieve an overall resilience level in rural areas.

Application of Mathematical Model Using Random Forest in Performance Appraisal Management of Cadres in Free Trade Zone

To improve the efficiency of scientific assessment of cadre performance, first, this work analyzes the current situation of cadre performance appraisal in the free trade zone under the background of big data, and introduces the free trade zone and Random Forest (RF) algorithm. Second, based on the cadre evaluation index, this work establishes the cadre performance evaluation system of the free trade zone. Finally, the random forest algorithm model is implemented for the performance evaluation of cadres in the free trade zone. Additionally, the model's performance is verified with the actual data, including the acquisition of the best parameters and the most important indicators of the model and the performance comparison between the RF algorithm and other models. The results show that the performance of cadres in the free trade zone is finally divided into four grades: medium, good, qualified, and excellent. There are obvious grade differences in the performance of cadres in the free trade zone. Partly because some qualified cadres lack a strong sense of competition and professional competence, do not publicize the work of cadres in the free trade zone, and do not communicate with the masses in time. In the data processing, 18 missing experimental data were supplemented, and the best model parameters were obtained as follows: NTree = 200, MTry = 1. The most important indicators of cadre performance evaluation are the construction of a clean and honest government, the ability to act in accordance with the law and the professional ability. The accuracy of the RF algorithm obtained here is 71.4%. The prediction accuracy of the RF algorithm for the overall sample, training sample, and test sample is 94%, 96%, and 86%, respectively, which are higher than those of other common models. A RF algorithm with good classification effect is obtained and this work provides a reference for the scientific management of cadre performance appraisal.

The Transition of Cities towards Innovations in Mobility: Searching for a Global Perspective

The growing concentration of the population in urban areas presents great challenges for sustainability. Within this process, mobility emerges as one of the main generators of externalities that hinder the achievement of the Sustainable Development Goals. The transition of cities towards innovations in sustainable mobility requires progress in different dimensions, whose interaction requires research. Likewise, it is necessary to establish whether the experiences developed between cities with different contexts can be extrapolated. Therefore, the purpose of this study was to identify how the conditions that determine a city’s readiness to implement urban mobility innovations could be combined. For this, qualitative comparative analysis was applied to a model developed using the multi-level perspective, analyzing 60 cities from different geographical areas and with a different gross domestic product per capita. The R package Set Methods was used. The explanation of the readiness of cities to implement mobility innovations is different to the explanation of the readiness negation. While readiness is explained by two solutions, in which only regime elements appear, the negation of readiness is explained by five possible solutions, showing the interaction between the landscape and regimen elements and enacting the negation of innovations as a necessary condition. The cluster analysis shows us that the results can be extrapolated between cities with different contexts.

What Drives Land Abandonment in Core Grain-Producing Areas? Evidence from China

Food security remains a major issue for developing countries. Reducing arable land abandonment (ALA) is crucial to ensuring food security. In China, the ‘decline in both quantity and quality’ of arable land resources, especially in major grain-producing areas, has become increasingly serious. This study uses fuzzy set qualitative comparative analysis (fsQCA) to explore the core conditions and combinations of paths leading to explicit and implicit abandonment using 30 typical cases in the main grain-producing areas of Hubei Province. The results show that (1) three combined pathways lead to explicit ALA (EALA) and that two pathways lead to implicit ALA (IALA); (2) laborer health (LH) is the core condition leading to EALA; and (3) LH, agricultural laborer (AL), per capita income (PCI) and social relationships (SRs) are the core conditions leading to IALA. To effectively alleviate ALA, the government should improve production conditions, pay attention to laborer health issues, improve agricultural returns and strengthen food security publicity and guidance, thereby promoting the rational use of arable land in these areas. The findings in this study link the changes in arable land use and provide a reference for other developing countries in ensuring food security.