In the construction of ecological civilization, green innovation has become an important driving force for the sustainable development of state-owned enterprises (SOEs). This paper uses panel data of state-owned listed enterprises from 2008 to 2019 to explore mixed-ownership reform’s influence on the green transformation of SOEs and its specific mechanisms. The results show that the diversity of mixed shareholders, the depth of mixed equity, and the restriction of mixed equity significantly promote the SOEs’ green innovation. Moreover, there are distinctions in the impact of the shareholding ratio of heterogeneous shareholders on green innovation. Only the increase in the shareholding ratio of foreign shareholders has a positive correlation with green innovation. The mechanism tests indicate that the mixed-ownership reform plays a governance role in the green transformation of SOEs by optimizing the reasonable allocation of environmental protection subsidies and propelling environmental social responsibility’s active performance. Our study further subdivides the significant promotion effect of mixed-ownership reform on green innovation, finding that it only exists in the SOEs in heavily polluting industries and regions with a high degree of marketization. Finally, we find that the ownership structure adjustment caused by the mixed-ownership reform has improved SOEs’ environmental management system and facilitated its sustainable development capabilities.

PurposeWith the explosive growth of the Internet, online travel agents (OTAs) have gained an increasing market share in the online booking market. However, OTAs are facing fierce competition from hotels' direct booking channels, as well as competition among themselves. Therefore, there is a need for an understanding of the evolution of the OTA market from a dynamic perspective. The purpose of this study is to investigate the long-term effect of OTAs on the hospitality industry and to find whether an equilibrium of this effect exists in the context of e-commerce.Design/methodology/approachTo gain a better understanding of the OTA market process, a mathematical framework is constructed on the basis of four assumptions. NetLogo 5.1.0 is used to perform a series of numerical simulations.FindingsThe results indicate the following: (1) the development of the OTA market helps to improve net social welfare, but hotels (especially economy hotels) have suffered as a result; (2) clever exploitation of both online and offline channels that are based on hotels' historical data may improve hotels' performance; (3) a scale-priority strategy can be more helpful than a profit-priority strategy for enabling OTAs to maintain their long-term competitiveness; (4) the timing of participation in online-channel competition is a crucial factor in determining whether OTAs can achieve business success.Social implicationsIn this study, it is shown how consumer habits have changed since the development of OTAs. The online channels provided by OTAs create a convenient, low-cost user experience, and they consequently improve the net welfare of customers. OTAs should be encouraged appropriately, although some economy hotels may suffer from the rise of OTAs.Originality/valueIn this empirical study, a mathematical framework is developed to describe the process of evolution in the OTA market, and it uses simulations as a means to validate prior research findings. Unlike previous studies, a dynamic perspective is used in this investigation to interpret the emergence of OTAs and to analyze their enormous impact on the hospitality industry. Thus, the findings of this study capture the competitive characteristics of online and offline channels in a network context and indicate potential strategies for the development of OTAs and which hotels may use OTAs to achieve better performance. In addition, the study findings could be easily extended to explain many of the classical economic phenomena regarding firms with intangible products.

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In this paper, an axial field switched-flux permanent magnet (AFSFPM) machine with stator-PM, which has a high power/torque density and efficiency feature as well as shorter axial length, is designed, analyzed and controlled. The topology, operating principle and design procedure of the AFSFPM machine are labored and discussed. The electromagnetic performance, including the flux linkage, back-EMF, cogging torque, winding inductance and field-control capability, are studied based on 3-D finite-element analysis (FEA). In order to investigate the operating performance of the machine in the whole speed range, a continuous-control-set model predictive control (MPC) method for the AFSFPM machine is proposed. Based on the stage control targets, the maximum torque per ampere (MTPA) and maximum output power flux-weakening strategies are presented in constant torque and constant power regions, respectively. Finally, a prototype of AFSFPM machine has been manufactured and experimentally evaluated and the results show that the MTPA strategy increases the load capability and the flux-weakening strategy broadens the constant power operation range. Moreover, the anti-load-disturbance capacity and dynamic response performance are improved under the MPC method. As a result, the proposed AFSFPM machine drive system is excellent alternative for electrical vehicles (EVs) or hybrid EVs (HEVs).

This paper aims to empirically analyze the herd behavior in the VC market in the context of China, including the existence, causes and consequences of herding among venture capitalists. For our empirical analysis, we first construct a herding measure and confirm the existence of herd behavior in the Chinese VC market. Then, we perform OLS/logit regression to examine the causes and consequences of herding among venture capitalists. Our results suggest that herd behavior in the venture capital market are driven by positive signals of essential information and a higher degree of information uncertainty. However, we find no evidence of the influence of feedback trading signals on herding among venture capitalists. Further analysis suggests that a better external information environment would help weaken the herding among venture capitalists, while their reputation concerns might amplify the herding effect. Finally, we examine the economic consequence of the herding and find that the herd behavior of venture capitalists would have an adverse effect on their exit performance. In addition to the enrichment and development of herding theory, our study also provides an essential theoretical frame and policy implications for the steady growth of the venture capital market in emerging economies.