Based on the panel data of 277 cities in China from 2011 to 2018, this paper constructs the digital economy index and the green economy efficiency index. The research found the following: first, the digital economy has significantly improved the efficiency of the green economy in the region. Second, the digital economy has a greater impact on the efficiency of the green economy in the eastern region and large cities than in the central and western regions and small cities. Third, technological innovation is an important way for digital economy to improve the efficiency level of green economy.

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In a 2×2 crossover trial for establishing average bioequivalence (ABE) of a generic agent and a currently marketed drug, the recommended approach to hypothesis testing is the two one-sided test (TOST) procedure, which depends, among other things, on the estimated within-subject variability. The power of this procedure, and therefore the sample size required to achieve a minimum power, depends on having a good estimate of this variability. When there is uncertainty, it is advisable to plan the design in two stages, with an interim sample size reestimation after the first stage, using an interim estimate of the within-subject variability. One method and 3 variations of doing this were proposed by Potvin et al. Using simulation, the operating characteristics, including the empirical type I error rate, of the 4 variations (called Methods A, B, C, and D) were assessed by Potvin et al and Methods B and C were recommended. However, none of these 4 variations formally controls the type I error rate of falsely claiming ABE, even though the amount of inflation produced by Method C was considered acceptable. A major disadvantage of assessing type I error rate inflation using simulation is that unless all possible scenarios for the intended design and analysis are investigated, it is impossible to be sure that the type I error rate is controlled. Here, we propose an alternative, principled method of sample size reestimation that is guaranteed to control the type I error rate at any given significance level. This method uses a new version of the inverse-normal combination of p-values test, in conjunction with standard group sequential techniques, that is more robust to large deviations in initial assumptions regarding the variability of the pharmacokinetic endpoints. The sample size reestimation step is based on significance levels and power requirements that are conditional on the first-stage results. This necessitates a discussion and exploitation of the peculiar properties of the power curve of the TOST testing procedure. We illustrate our approach with an example based on a real ABE study and compare the operating characteristics of our proposed method with those of Method B of Povin et al.

Recently, the Chinese government decided to support the integrated development of the Yangtze River Delta (YRD) in a national strategic way. On this background, this paper investigates the regional integration in the technology transfer system of the YRD based on patent transfer from three levels: overall, technology supply chain, and technology sales chain. It also uses the modularity maximization method to detect the community structure of the inter-city patent transfer network in China. The results show that regional integration of the technology transfer system of the YRD at both overall level and technology supply chain level had not been realized up to 2015, but had been achieved at the technical sales chain level. Technology flow in the YRD was increasingly moving across the border, and the intra-region technology transfer network was increasingly unable to meet the needs of technological development of the cities in the YRD. This paper has several limitations concerning the representativeness of patent data, the manifestation of patent data in technological transfer and international comparison.

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In this paper, the present situation of the application of 3D printing on fashion industry and the characteristics of 3D clothing were analyzed and summarized; the effect of 3D printing technology on the clothing design and manufacturing was discussed, and a new design and production process was put forward; besides, this paper described the limits of 3D printing clothing and made a predictive analysis of the application of 3D printing future vision in the field of clothing. As the revolutionary change to the textile and garment industry brought by the invention of sewing machine in nineteenth Century, 3D printing technologies applied in the clothing will bring changes to this industry as well.3D printing technology broke the original frame and brought new creative space and possibilities whether from the perspective of fashion design thinking or production practice.

This study aims to explore the driving factors of green innovation, and uses the micro- and macro-data from China’s sports goods manufacturing industries. In particularly, sports goods manufacturing enterprises are identified by the textual analysis of information disclosure, and the competitive environment faced by each enterprise is built through their unique closest rivals. Empirically, this study finds that competition and policy can promote green innovation in sports goods manufacturing industries, and industrial policy can moderate the role of product market competition in promoting green innovation. Considering the characteristics of the Chinese market, more industrial policies may intensify the competition among manufacturing enterprises, forcing such enterprises to obtain competitive advantages through innovation outcomes. It is worth noting that the association between product market competition and green innovation changes as financial constraints increase, and this may be caused by the impact of industrial policy on the interactions among enterprises. After implementing the strict environmental policy, product market competition and industrial policy can both promote green innovation. In high-polluting industries, sports goods manufacturing enterprises get more social attention and suffer from higher penalties for environmental violations, so that such enterprises will get more motivations from industrial policies to support green innovation. In addition, we also find that there is a significant inverted-U shape relationship between industrial policy and green innovation in sports goods manufacturing industries. As financial constraints increase, the non-linear relationship between product market competition and green innovation converts from a U shape relationship to an inverted-U shape relationship. Our findings can provide a better understanding of the investment of sports goods manufacturing enterprises in green innovation.

Farmland abandonment has become relatively common in rural China. In the context of food security, the Chinese government has introduced policies for farmland abandonment supervision, but the effect of these policies has proven to be marginal. By constructing an evolutionary game model, our research explores the evolutionary logic during the supervision of farmland abandonment by governments and rural households. The results indicate that low food yield and high opportunity costs are the leading causes of farmland abandonment. The probable punishment administered by the central government for dereliction is a major motivation for the local government to practice farmland abandonment supervision. The low supervision avoidance cost for rural households leads local governments and households to form collaborations to jointly cope with central government supervision. When this occurs, local governments’ supervision of farmland abandonment falls into a trap, as it leads to continued supervision practices that are costly and ineffective. Food security risk comes from the contradictory population and land resources demands. To improve food security while managing these contradictory demands, it is both necessary and feasible for the government to control population growth and focus on farmland protection, whereas it is unnecessary and unfeasible for the government to supervise whether or not farmland should be abandoned.