With the improvement of the technology level and the prevalence of the concept of environmental protection, green finance has been gradually applied to the field of production and economic development. As an important measure of economic development, the export sector is inevitably affected by the development of green finance. However, using the high technology of exports to analyze the relationship between green finance and exports has not drawn much attention. Based on the panel data from 30 provinces in China from 2011 to 2020, this study empirically examined the impact of green finance as well as export technology complexity, by using a combination of fixed effects and mechanism analysis. The results show that green finance has a significantly positive impact on export technology complexity, which means that an increase in the depth of green finance can improve export product quality. In terms of regional heterogeneity, the impact of green finance on the high technology of exports is greater in the eastern region than in the central and western regions of China. In terms of the manifestation of green finance, the effect of green bonds on export technology complexity is greater than that of green investment and insurance. Green finance improves the export technical complexity through three intermediaries, such as green technology innovation, capital investment strength, and product upgrading capacity. This study highlights the importance of green finance and provides new methods for governments to assist in the formulation of policies that can improve export technology complexity.

In order to carry out the concept of harmonious coexistence between man and nature, a multi-level national green development evaluation index system referenced to the relevant data of the provinces and a measurable model were constructed, and the green development level of each province in China was measured as an example. Meanwhile, the distribution and form characteristics and the regional differences between the green development levels of each province were estimated and analyzed through the nuclear density function and dagum Gini coefficient. The results indicate that some provinces and cities in China are concentrated at the backward level in the green development level and its sub-evaluation dimension, and a few first-line provinces and cities are developed; The largest contribution rate of regional differences is the main causation of regional differences, the comprehensive evaluation score of green development level in the whole country and the eastern region is σ-convergent, while there is no σ-convergence in the central and western region; The green development level of the whole country and the three parts of the east, central and western China is β-convergent and converges at the same steady-state level respectively.

This paper focus on the quantitative measurement of public health systems and its mismatch with socio-economic development. Based on systematic theory, we divide the public health system into four sub-systems: resource inputs, planning in decision-making, operations, and service outputs. We also provide a method to analyse the ability to match between the public health system and social-economic development by using the grey correlation and coupling method. Then we introduce data from China as a case of empirical research. The main findings are as follows: (1) China’s public health system has progressed from 2012 to 2019, and the development of China’s public health system is typically “input-driven”. Second, the level of public health management in China lacks sustainability. (2) The main reason for this problem is the mismatch between the central and local governments in China in terms of public health management authority. (3) Third, the coupling between China’s public health system and socio-economics development has shown a decreasing trend, which indicates an increasingly significant mismatch problem between public health and economic growth, urbanization, and population aging. Our study will enrich the understanding of the relationship between the public health system and socio-economics development.