[目的]分析我国数学类科技期刊网络传播现状及潜存问题,探讨数字化转型背景下提升数学类科技期刊网络传播效果的可行路径和关键举措.[方法]运用对比分析方法及Zc指数分析方法,分析相较于国外优质数学类科技期刊,我国数学类科技期刊的整体网络传播现状及潜在的发展瓶颈,并提出符合中国特色情境的改进对策.[结果]尽管我国部分数学类科技期刊具备一定的网络传播力,但对标国外一流数学类科技期刊,我国数学类科技期刊在出版时效性、官网建设、多媒体联动及集群构建上仍有局限,网络传播力有待提升.[结论]我国数学类科技期刊应确立"四位一体"发展战略,即以提升网络传播力为核心,推动重塑期刊首发传播力、优化数字化宣传体系、构建多元化新媒体传播矩阵、强化期刊集群化建设4 个方面融合发展,全面升级数学类科技期刊网络传播力与传播效果,进而提升期刊综合影响力和社会服务能力.

Resource allocation is one of the most important applications of data envelopment analysis (DEA). Usually, the resource to be allocated is directly related to the interests of decision-making units (DMUs), thus the dynamic non-cooperative game is one of the representative behaviours in the allocation process. However, it is rarely considered in the previous DEA-based allocation studies, which may reduce the acceptability of the allocation plan. Therefore, this paper proposes a DEA-based resource allocation method considering the dynamic non-cooperative game behaviours of DMUs. The authors first deduce the efficient allocation set under the framework of variable return to scale (VRS) and build the allocation model subjecting to the allocation set. Then an iteration algorithm based on the concept of the non-cooperative game is provided for generating the optimal allocation plan. Several interesting characteristics of the algorithm are proved, including i) the algorithm is convergent, ii) the optimal allocation plan is a unique Nash equilibrium point, and iii) the optimal allocation plan is unique no matter which positive value the initial allocation takes. Some advantages of the allocation plan have been found. For example, the allocation plan is more balanced, has more incentives and less outliers, compared with other DEA-based allocation plans. Finally, the proposed method is applied to allocate the green credit among the 30 Chinese iron and steel enterprises, and the results highlight the applicability of the allocation method and solution approach. Therefore, the approach can provide decision makers with a useful resource allocation tool from the perspective of dynamic non-cooperative game.

The transportation sector is one of the important energy consumption and carbon emission sources. This paper extends the multi-directional efficiency analysis (MEA) to zero-sum game MEA (ZSG-MEA) with considering the CO2 emission as a fixed-sum undesirable output to measure the energy and environmental performance (EEP) of the transportation sector. The ZSG-MEA window analysis is applied to dynamically evaluate the EEP of China’s transportation sector in 30 provincial-level regions during 2008–2017. Some interesting findings are obtained: (i) the EEP of the transportation sector in most regions has not been performed well but the average EEP of the transportation sector in most regions has been gradually improved since 2011. A general trend is that the transportation sector in the east area wins the best average EEP, and the average EEP of the central area is better than that of the west area, but their gap is narrowing from 2012. (ii) The EEP fluctuation verifies the greatest imbalance of EEP among the east area’s regions. Both the east area and the central area are narrowing the imbalance in recent years, but the west area has an inverse trend. (iii) The performance of CO2 emissions is better than that of energy consumption in all three areas, which implies that China’s transportation sector seems to have paid more attention on emission reduction than energy conservation. Besides, the east area has the best performance of energy consumption and CO2 emissions from an overall perspective. And the energy consumption and CO2 emissions in the central area perform better than the west area before 2013, but then shows an entangled state from 2013. (iv) From the average variable specific ZSG-MEA efficiency, the industrial added value of transportation sector performs better than other variables in the east area and central area, but the situation in the west area is inverse. Some useful insights are provided according to these findings.

With the fast growing economy, China has become the biggest automobile market in the world. Many Chinese families buy automobiles to promote individual wellbeing and facilitate the convenience of lives. Automobile purchase has become a general and important decision for a Chinese family. However, it is always difficult to make a decision on the automobile purchase that balance the automobiles performance and its cost. Moreover, the automobile maintenance market in China is monopolistic. Thus, the maintenance cost is a significant consideration in automobile purchase decision. This paper employs the concept of data envelopment analysis (DEA) to measure cost performance of the automobile with considering the monopoly maintenance cost. The RCA (ratio of the total price of accessories of an automobile to the price of the automobile) 100 index system is used to represent the maintenance cost of each automobile. The structure of the automobile maintenance market can be reflected with including the RCA 100 index system in the performance evaluation. Results of the case study of 28 automobiles in China verify the necessity of considering the maintenance cost in automobile purchase decision.

To reduce flood disasters and optimize of the comprehensive benefit of the water basin, the allocation of regional flood drainage rights is of great significance. Using the “top-down” allocation mode, we consider the influence of the social, economic, and ecological environments, flood drainage demand and efficiency, and other factors on the allocation of flood drainage rights. A bi-level multi-objective programming model from the perspective of fairness and efficiency is established for the allocation. The Sunan Canal is taken as a typical case study. The model is solved by the multi-objective optimal allocation method and the master–slave hierarchical interactive iteration algorithm. After three iterations of the initial solution, the allocation of flood drainage rights in six flood control regions finally reach an effective state. The results of the model were compared with results based on historical allocation principles, showing that the bi-level multi-objective programming model, based on the principles of fairness and efficiency, is more in line with the current social and economic development of the canal. In view of the institutional background of water resources management in China and the flood drainage pressure faced by various regions, the allocation of flood drainage rights should be comprehensively considered in combination with various factors, and the market mechanism should be utilized to optimize the allocation.

As a high-energy-consumption and high-CO2-emission industry in China, the transportation sector has been under increasing pressure to improve its performance. This paper develops a novel parallel DEA approach to measure Chinese transportation sector’s energy and environmental performance (EEP) over all possible weights, which is to avoid the risk of using the extreme or the most favorable weights in performance evaluation. In our method, the transportation sector is consisted of two parallel subsystems (passenger transportation and freight transportation) with shared inputs and undesirable shared outputs. All possible weights are considered in the EEP evaluation, then the EEP of a transportation sector is represented by a ranking interval. Finally, the proposed approach is applied to the transportation sectors in 30 Chinese provinces. Results show that the best and the worst ranking of most provinces vary greatly. Besides, the EEP of most provinces is hard to dominate others strictly, but the general tendency is the EEP of eastern provinces better than western provinces. Furthermore, the EEP difference of some adjacent provinces with similar features is distinct. These findings are not all the same as previous studies, which verifies the necessity of considering all possible weights in performance evaluation. Therefore, our method provides a new point of view in performance evaluation and can give more robust results for decision makers.