Agricultural green total factor productivity (AGTFP) is an important indicator to reflect the sustainability level of agriculture. The AGTFP network reflects the spatial correlations of the AGTFP among regions; thus, exploring its network structure and influencing factors can provide targeted policy guidance to the coordinated development of the agriculture sector. This study builds an epsilon-based measurement data envelopment analysis (EBM-DEA) model to calculate 31 provincial AGTFPs in China from 2002 to 2020. Then, social network analysis (SNA) was utilized to explore the characteristics of the AGTFP network, and the quadratic assignment procedure (QAP) was applied to find its external influencing factors. We reached four central conclusions: (1) Overall, there was a gradual upward trend of AGTFP in China during 2002~2020, and the average value rose from 0.75 in 2002 to 0.90 in 2020, but there were some differences among regions. (2) There is a complex and stable network characteristic of AGTFP; the average network density is 0.3753, and the average network efficiency is 0.4714. Meanwhile, some eastern and central areas, such as Henan, Anhui, Hubei, Hebei, Jiangsu, etc., have relatively high centrality and are a bridge in the entire network. (3) The AGTFP network can be divided into eight blocks, including two net beneficial blocks (the central-eastern provinces with high centrality); two net spillover blocks, including the provinces located in the developed urban areas (Beijing, Tianjin, Shanghai, and Jilin), the underdeveloped northwest regions (Ningxia, Qinghai, Xinjiang, and Tibet). The other areas are two-way spillover blocks. (4) Transportation development gap, technological progress gap, and the similarities of the agricultural industry structure are critical factors influencing the AGTFP network. Hence, improving the efficiency of the logistics and transportation industry, promoting technology transfer from developed areas to underdeveloped areas, and developing characteristic agriculture are all conducive to promoting the whole region’s AGTFP. Our research provides policy implications for sustainable agricultural development in China and other developing countries.

Under the background of global warming, it is of great significance to explore how to realize environmentally sustainable development. This paper takes China’s three major urban agglomerations as the research objects: Yangtze River Delta, Beijing–Tianjin–Hebei, and Pearl River Delta. Generally, we use carbon emission efficiency to represent the sustainable development of the environment. Then we use the city-level panel data of the three urban agglomerations from 2006 to 2019 to construct the slacks-based measure integrating data envelopment (SBM-DEA) model for calculating each city’s carbon dioxide emission efficiency. Finally, we construct the spatial difference-in-differences (SDID) model to explore the impact of high-speed rail construction on each urban agglomeration’s carbon dioxide emission efficiency and its internal mechanism. The findings are as follows: (1) On the whole, high-speed rail construction improves urban agglomerations’ carbon dioxide emission efficiency. Meanwhile, it has a positive spatial spillover effect on surrounding areas. (2) In terms of urban agglomerations, high-speed rail construction has significantly promoted carbon emission efficiency in the Beijing–Tianjin–Hebei region. However, it has had negative external effects on the surrounding areas. (3) From the perspective of mechanism analysis, the construction of high-speed rail has promoted manufacturing agglomeration in the Pearl River Delta region and, at the same time, has had a negative impact on the local carbon dioxide emission efficiency. This study has strong policy implications for promoting the sustainable development of the three major urban agglomerations.

With the steady increase of corporate system reform in the railway transportation industry, high-speed railways have accelerated their steps toward marketization, and the market competition they face has become increasingly fierce. In this context, enterprises need to make quick adjustments to new changes in order to seize the market share, obtain stable ticket income, and eventually, achieve financial sustainability while ensuring the healthy development of high-speed railways. Thus, it is particularly important to determine a reasonable ticket price. While considering supply and demand, market competition, and passenger utility, this study constructs a model of the passenger flow sharing rate and applies it to modeling the optimal ticket price for high-speed railways, taking the Beijing–Shanghai High-speed Railway as an example for calculating this model. Using the results calculated, this study analyzes the influence of the optimal ticket price on the financial sustainability of the enterprise through use of the evaluation system of financial sustainability established above. The results show that the existing price for a train ticket from of Beijing to Shanghai is not the optimal one, and there is still room for a price increase; the ticket price has an impact on financial sustainability by affecting corporate operating income and cash flow. The study provides a method for formulating the optimal ticket price for high-speed railway travel and enriches the research on the financial sustainability of high-speed railways.

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In recent years, while the direct investment of Chinese enterprises has made rapid progress in foreign direct investment, it has also shown a trend of “blindness” and “irrationality”, which has brought huge overseas investment risks. The reason is largely due to foreign investment enterprises ignore the host country’s legal system. This paper uses 82 foreign direct investment data of Chinese listed companies in 30 countries (regions) from 2010 to 2019 as a research sample to analyze the impact of the host country’s legal system on the performance of Chinese companies’ foreign direct investment. The results show that the performance of Chinese enterprises’ investment in the country has gradually improved with the improvement of the economic development level of the host country, the soundness of the legal system of the host country has been continuously improved. The restraining effect of the soundness of the host country’s legal system on investment performance is more obvious in state-owned enterprises and investments involving sensitive industries or key areas. In addition, the performance of investment enterprises will gradually improve with the increase in the density of labor unions and the international investment experience of enterprises.

Urban agglomeration economy brings the advantage of scale economy in big cities and benefits from the low cost of small and medium-sized towns. It is helpful for coordinated development in different scales of cities. Transportation development is an essential means to promote the cluster economy, and it is of great significance to strengthen the organic combination of transportation and urban agglomeration construction. This study selects the research objects of China’s three major urban agglomerations of the Yangtze River Delta, Beijing-Tianjin-Hebei, and Pearl River Delta. Using its urban panel data from 2006 to 2019, construct a spatial DID model to explore the impact of high-speed rail construction on residents’ consumption level in the urban agglomeration. The results are heterogeneous in different urban agglomerations. High-speed rail construction has significantly promoted the consumption level in the Beijing-Tian-Heibei area and the Pearl River Delta regions. However, the effect in the Yangtze River Delta is not significant.