To maintain sustainable development, the government’s macro control is very important, but the system construction of the market itself can’t be ignored. From the perspective of aggregate supply, OFDI (outward foreign direct investment) in developing countries can sustainably promote domestic employment through different kind of channels such as human capital, a reverse spillover of the international technology, and marketization processes. Based on 30 provincial panel data from 2005 to 2017, stating from the C–D production function, this article empirically estimates the total effect and regional differences in the effect of OFDI on domestic employment in China by using the main approach of Sys-GMM. The results show that the promotion effect of OFDI on domestic employment has an obvious lag; the faster the marketization process, the more significant the current period’s substitution effect and the lagged period’s promotion effect of OFDI on domestic employment. This means that it is a lagged-period process for OFDI to enhance total factor productivity and realize the effective allocation of labor resources through various channels. Furthermore, whether the domestic promotion effect of OFDI can be effectively exerted is closely related to the process of domestic marketization. A good market system environment can effectively improve the efficiency of labor resources allocation, thus promoting the sustainable development of domestic employment. China’s market-oriented transformation has not yet been completed. The sustainable growth of China’s employment depends on further promoting a market-oriented economy. Therefore, it is suggested to accelerate the improvement of market mechanisms and related system construction, strengthen the role of the government in public service, and promote the coordinated development of OFDI and IFDI (inward foreign direct investment) in various regions to promote the sustainable development of employment.

Rural revitalization is an important strategy to promote sustainable development of rural areas in China. Rural revitalization listed companies play an important role in implementing the rural revitalization strategy and developing the agricultural industry. However, the financing problem has always been a bottleneck problem with Chinese listed companies. This study used a two-stage DEA (data envelopment analysis) method to evaluate the funds raising efficiency, funds using efficiency, and overall financing efficiency of 34 rural revitalization listed companies in 2018. The results show that the financing efficiencies of 34 sample companies were low, only six companies have overall efficient financing, and there was much room for improvement. Financing efficiency varied greatly depending on the nature of the company, the industry, and the listing board. The efficiency of funds using of state-owned enterprises was much lower than that of private companies. The average efficiency value of agricultural company funds raising was lower than that of manufacturing. The efficiency of small and middle-size enterprises (SMEs) was lower than that of main board companies, but the growth enterprise market (GEM) companies achieved higher efficiency in the funds using. Further, by using the grey relational analysis (GRA) method, we found that the key factors affecting the financing efficiency of sample companies included capital structure, debt-paying ability, governance structure, company age, and operating ability. To improve financing efficiency, the companies should not only optimize their capital structure and governance structure but also improve their management and innovation capabilities. At the same time, the state also needs to give different policies support according to the characteristics of the companies.

In recent years, Chinese economic development has slowed down and competition in the financial industry has become increasingly fierce. The purpose of this paper is to study the efficiency characteristics of China’s banking industry in the new environment and provide suggestions for banks to improve efficiency. This paper uses a data envelopment analysis (DEA) SBM-undesirable model and window analysis to measure the technical efficiency of 13 nationwide commercial banks in China during the period from 2008 to 2017. Furthermore, the convergence characteristics of bank technical efficiency are examined. The empirical results show that state-owned banks were more efficient than joint stock banks before 2012. After 2012, state-owned banks were less efficient than joint stock banks. Finally, this paper explores the influential factors of technical efficiency. Noninterest income ratio, net interest margin, growth rate of total investment in fixed assets, and consumer price index have a significant positive impact on bank efficiency. The cost-to-income ratio has a significant negative impact on bank efficiency. Further research using the threshold model shows that noninterest income ratio has a threshold effect on bank efficiency.

Industry is an important force in China’s economic development; however, with the transformation and upgrading of the industrial structure, a large number of resources have flowed to the tertiary industry, and the funding problem has become one of the main disadvantages restricting China’s industrial enterprises’ sustainable development. This paper aims to point out the problems and improvement directions of financing efficiency of China’s industrial listed enterprises. Based on the two-stage dynamic network SBM (DNSBM) model, this paper evaluates the financing efficiency of 450 of China’s industrial listed enterprises from 2011 to 2017. The results show that: (1) the overall financing efficiency of China’s industrial listed enterprises is low, the funds are not used effectively, and there is great room for improvement; (2) the overall financing efficiency of state-owned enterprises (SOEs) is lower than that of non-state-owned enterprises (NSOEs), the average fund raising efficiency of SOEs is greater than the fund using efficiency, but the opposite is true for NSOEs; (3) the overall financing efficiency of the main-board-listed enterprises is the lowest, and that of the growth enterprise market (GEM) is the highest, the most obvious gap is in the second stage of fund using, but this gap is gradually narrowing; and (4) the overall financing efficiency of China’s industrial enterprises has obvious regional characteristics, the fund raising efficiency value in each region is not much different, while the fund using is significantly different. To improve financing efficiency, enterprises must improve their financing channels, choose the best financing method, maintain a reasonable debt-financing ratio, improve management level and profitability, increase enterprise value, enhance the debt-paying ability, and attract more capital at a low cost. In addition, the government should also provide corresponding financing support policies for different types of enterprises.