Although green innovation strategy (GIS) is the driving force for the sustainable development of enterprises, while the strategy is implemented, an increased cost and a change in organizational routines will cause an organization to become fragile, and even affect the sustainable competitive advantages. So, the purpose of this paper is to explore the impact path of GIS on sustainable competitive advantages and the implementation boundary of GIS. To explain the impact path, we consider the concept of dynamic capabilities to be the mediator variable. To explain the implementation boundary of GIS, we systematically explore the relationships among GIS, dynamic capabilities and sustainable competitive advantages under different levels of environmental uncertainty. Based on 241 new Chinese green firms, the empirical results find that GIS helps enterprises to gain sustainable competitive advantages. However, in the process of strategy implementation, enterprises should choose appropriate methods according to different degrees of environmental uncertainty. In a low environmental uncertainty, dynamic capabilities play a full intermediary role between GIS and sustainable competitive advantages. However, in a high environmental uncertainty, dynamic capabilities have no mediating effect between GIS and sustainable competitive advantages. This study not only integrates green management theory and strategic management theory but also makes up for the deficiencies in research on these theories and has important reference value for enterprises that seek to carry out green innovation activities.

With environmental pollution, climate change and resource scarcity being serious global issues, green entrepreneurship is increasingly seen as an approach to simultaneously address economic performance, environmental impact and social responsibility. As green entrepreneurship needs to consider both venture performance and social responsibility, it will be subject to legitimacy constraints at the system level. Whether these legitimacy constraints are favorable to green enterprise is not yet clear from current research. Especially for transition economies, the problem of whether proactive green enterprises facing legitimacy constraints under institutional uncertainty can achieve green performance requires further study. Thus, a theoretical model to determine the relationship between green proactiveness orientation (GPO), green performance, legitimacy, and transitional economics was proposed. Based on the data from 235 new Chinese green firms, the empirical results suggest that green startups launch with a green proactiveness orientation, which enables them to acquire a green performance advantage over their competitors. Improvements in green performance is also shown to be driven by the pressure from institutional legitimacy. Better green performance can be easily achieved if green startups have a higher level of legitimacy. However, against the background of transitional economies, the increase in institutional uncertainty will damage the promotion of political legitimacy and make the enterprises that are subject to political legitimacy constraints lose their green performance. Currently, political legitimacy is no longer an impetus. However, the increase in institutional uncertainty will strengthen the promotion of commercial legitimacy and cause green-oriented startups to pursue more commercial interests. Thus, to a certain extent, it will lead to market uncertainty. The conclusion of this study not only provides guidance for startups in different industries to develop green actions under the pressure of institutional constraints but also warns governments to improve policies and regulations quickly under different situations of institutional uncertainty.

Previous studies have found that reverse technology spillover effects can promote industrial technology modernization in developing countries. However, it is still unknown whether reverse technology spillover effects can improve green innovation efficiency in developing countries. In particular, institutional uncertainties characteristic of transition economies have a significant impact on industrial modernization. Therefore, researching the impact of the institutional environment on the relationship between reverse technology spillover effects and green innovation efficiency is of great significance. In this paper, we use data from G20 countries as well as China’s foreign direct investment (FDI) data to measure the effects of reverse technology spillovers and adopt the threshold effect model to explore the relationship between reverse technology spillover effects and green innovation efficiency as well as the influence of the institutional environment on this relationship, based on China’s provincial panel data from 2003 to 2015. The empirical results show that the reverse technology spillover effects can effectively improve green innovation efficiency. There is a threshold for the influence of the institutional environment on the relationship between reverse technology spillover effects and green innovation efficiency. When the institutional development level surpasses the threshold value, an acceleration effect is generated. In addition, we find that the legal system is the key bottleneck in terms of improving green innovation efficiency. How to improve and perfect the path of institutional construction in China and how to enable institutions to gain threshold speed-up effects have become the major problems the Chinese government faces in institutional construction. The research results of this paper offer a reference to developing countries in regard to improving their institutions and enhancing their green innovation efficiency.

The sustained and steady development of China’s economy has led to the rapid improvement of the logistics. At the same time, the rise of the e-commerce mode has given rise to a huge demand for express delivery and the express industry has entered a period of boom. Fortunately, China’s high-speed rail network has been networked, and the development of a high-speed rail express train has entered the test stage. After the high-speed rail express train is put into use, it could effectively relieve the pressure of highway transportation and significantly reduce transport pollution. To make better use of high-speed rail transport resources and give full play to its green and efficient advantages, this study established a two-stage model of a high-speed rail express train operation plan. In the first stage, a train candidate set generation model aiming for the minimum total cost of train operation was established that considered the high-speed line carrying capacity, section flow capacity, and OD requirement satisfaction constraints, which reduces the scale of train spare parts and improves the efficiency of solution. In addition, a column generation algorithm was designed to solve the model. In the second stage, an accurate flow distribution model aiming for the optimal economic efficiency was established, and then the high-speed express train operation plan was designed completely. The computational results are encouraging and demonstrate the effectiveness of the model and solution method.

Emerging industries bear great difference from traditional industries. It is valuable to explore the effectiveness of different resource management methods in the two industries. Based on this, the purposes of this paper are first to define and distinguish two core resource management methods (i.e., resource integration and resource reconfiguration), and second to research the different impact paths of resource integration and resource reconfiguration on the sustainable competitive advantages in different industries. Primarily, in order to achieve these purposes, this paper explores the generation path of resource integration and resource reconfiguration from the perspective of organizational learning; secondly, the empirical analysis method is applied to examine the different influences between resource integration and resource reconfiguration on sustainable competitive advantages. Based on 208 samples in traditional industries and 220 samples in emerging industries, the results show that resource integration and resource reconfiguration are the consequence of organizational learning. In traditional industries, resource integration and resource reconfiguration have a positive impact on sustainable competitive advantages, respectively, resulting in a “concerto effect” on sustainable competitive advantages. While, in emerging industries, though resource integration has a positive impact on sustainable competitive advantages, however, there is an inverted U-shaped relationship between resource reconfiguration and sustainable competitive advantages. In such a situation, the “concerto effect” disappeared. This paper not only reveals the uniqueness of different resource management methods in different industries but also enriches the applications of resource management theories in different situations.

The emergence of big data technology continues to innovate and change the world, bringing opportunities and challenges to all walks of life. Under the background of this era, traditional entrepreneurship education requires reform and innovation. This research attempts to explore the ways and practices of applying big data technology to entrepreneurship education, so as to improve and perfect traditional entrepreneurship education and achieve its sustainable development. Based on classic theories such as entrepreneurial theory, strategic management theory, and leadership theory, this paper developed a relatively systematic attribute system of entrepreneurship education under big data technology, and comprehensively used Fuzzy-DEMATEL and ISM methods to explore the relationship between different attributes and their importance, and finally construct a hierarchical framework for the application of big data technology in entrepreneurship education. The results show that the attributes of entrepreneurship education under big data technology can be divided into four levels, each with different priorities and degrees of importance, and there are complex interactions and constraints among them. This study provides important guidance and suggestions for the development of entrepreneurship education and multi-attribute decision making management under the given resources, which is conducive to the sustainable development of entrepreneurs and new ventures.