With the maturity of mobile payments and internet technology, a new type of travel mode, shared bicycles, was brought out by China’s urban transport under the impetus of “the last mile” travel demand. Although convenient travel has been achieved by using shared bicycles, the resulting problems such as disorderly parking and the deposition of bicycles could severely influence urban traffic order and impede the sustainable development of shared bicycles. Based on the quasi-public goods property of shared bicycles, this article established a management system for the tripartite collaborative governance of disorderly bicycle parking by virtue of regulating the bicycle parking behavior of users, the promoting of multiple propaganda and macro-institutional controls of the government, and acquiring technique support of enterprise “entry settlement”. Furthermore, considering the influence on the governance effect of user conduct, a structural model for guiding users to regulate bicycle parking to guarantee the governance effect by adopting material incentive and spiritual motivation was established via the utilization of the theory of planned behavior and motivation theories, and multiple hypotheses were also proposed. In this article, users of shared bikes in Beijing, China were selected as the research objects, and a questionnaire survey was adopted as the empirical research method. In addition, the governance validity on disorderly parking of the collaborative governance model was tested via hierarchical regression analysis after the collection and analysis of the factors influencing bicycle parking behavior of users. The obtained results show that the tripartite collaborative governance model could enhance the regular parking consciousness of users and improve the governance effect of disorderly parking. The research conclusion of this article could provide feasible suggestions for the governance of bicycle disorderly parking and propel the sustainable development of shared bicycles.

With the development of ecological economics, energy-saving green energy chain management has been a wide concern of academia and industries. However, the relatively high cost of green investment makes manufacturers face the problem of financial constraints. On this basis, because the green level information of products is proprietary to manufacturers, manufacturers will lie about the green level of products in order to improve their profits out of the principle of profit maximization. As a result, banks cannot obtain the true green level of products, reducing the benefits of the green energy-efficient supply chain system and making the market of green products volatile. In view of this, blockchain technology is introduced in this paper to improve customer’s product green level sensitivity and obtain lower green credit interest rates from banks. In this paper, a green supply chain financing model based on blockchain technology was constructed under the condition of green information misreporting, and it is compared with the benchmark without blockchain technology. Research shows that the adoption of blockchain can achieve Pareto improvement of green supply chain members. In addition, manufacturers have an incentive to adopt blockchain if the cost of blockchain investment falls below a certain threshold, and consumer green sensitivity increases below that threshold. We compared the profits of green manufacturers with those of retailers and the total emissions of manufacturers. The results show that: (1) When the financing intensity exceeds a certain value, there is an optimal coverage of green financing to ensure that the profit target of manufacturers, the profit target of retailers and the emission reduction target are achieved simultaneously. (2) The adoption of blockchain can achieve Pareto improvement of green energy supply chain members. The actual data of green transformation of Jinyuan New Technology Company were cited. Through calculation, it was found that green transformation can reduce the emissions of enterprises. When the financing intensity is in a certain range, the profits of manufacturers and retailers can be maximized, and the emission reduction degree is the highest. Thus, the practicability and reliability of this model were proved. (3) Manufacturers have an incentive to adopt blockchain if the cost of blockchain investment falls below a certain threshold, and consumer green sensitivity increases below that threshold. The research results of this paper provide solutions for enterprises with limited funds for green transformation and provide a theoretical basis for the government to formulate emission reduction incentive mechanism.

On-demand ride-sharing services change our travel behavior, which threatens the survival of taxi services. Motivated by this, this paper examines the impact of on-demand ride-sharing services on taxi services and how to achieve the coexistence of two services from a service quality perspective. This paper analyzes the coexistence condition of two services considering the network effect. First, the profit target for taxi drivers is nonnegative. A Stackelberg model is built in which the taxi service is the leader and the on-demand ride-sharing service is the follower. Then, the reference dependency theory is introduced to modify the profit target of taxi drivers. And the new coexistence condition is compared with the benchmark status. The results find that the coexistence of the two services depends on the type of riders and the quality difference in both cases. When two services and riders are highly heterogenous, two services are more likely to coexist. Services with different qualities could better satisfy the diverse preferences of riders. Considering taxi profit without competition as the profit reference point, the requirement of service quality difference and the diversity of rider composition is increased. In terms of the network effect, the negative network effect is more beneficial to the coexistence of two services.

Economic development depends on energy consumption, which is a major source of carbon emission. How to achieve economic decarbonization has become one of the key questions urgently needing to be solved on the road of carbon peak and carbon neutral development in China. Advancing total factor productivity (TFP) of carbon emission is an important way to promote economic decarbonization. For the carbon emission TFP, current research is mainly conducted from province level or an industry perspective, and studies its deference with various geographical locations, economic development levels, urbanization levels, etc., lacking the research that combines the decoupling effect to carbon emission TFP. The carbon emission TFP of Chinese cities and how to improve it remain unclear. Therefore, based on Tapio decoupling theory, this paper firstly analyzed the decoupling effect of China’s 284 cities from 2005 to 2019, and aggregated the cities into four groups according to the decoupling effect. Then, using the DEA–Malmquist index, this paper researched the carbon emission TFP and its driving factors based on the aggregation. The result shows that weak decoupling is the main decoupling status in China. As a whole, carbon emission TFP of Chinese cities does not perform well, but it shows a growth trend over time. Strong decoupling cities outperform expansive negative decoupling cities on carbon emission TFP. Technical change and pure technical efficiency change have inhibiting effect and promoting effect on carbon emission TFP, respectively, which are the main factors for the difference of carbon emission TFP between strong decoupling cities and expansive negative decoupling cities. Based on these findings, some common but differentiated recommendations are provided for improving Chinese cities’ carbon emission TFP.

As a green travel mode, bike sharing is developing rapidly across China. At present, charging deposits from users is the common operation mode adopted by shared bicycle enterprises. The large number of shared bicycle enterprises generates fierce market competition, and the eliminated enterprises always refuse to return user deposits. Even regular running enterprises still have trouble with the immediate return of deposits. This situation severely affects the reputation of shared bicycle enterprises, and concerns have been shared widely across the society. Meanwhile, there is a general expectation among users that their deposits could be refunded timely and a broad appeal for technical management to resolve this problem. This article uses blockchain technology to reform the current management mode for shared bicycle deposits and constructs a decentralized, user information and deposit visualized, and multidimensional supervised management system. The proposed management system makes the real-time flow direction supervision of user deposits to be realized. Furthermore, a smart contract of shared bicycle deposits with punishment mechanism is also designed. Finally, the differences between the proposed deposit management mode and the current deposit management mode are analyzed, and a simulation experiment is conducted. In the simulation experiment, the deposit theft rate of our deposit management system is 0%, which is far better than the two existing bike deposit management systems. The results show that the outstanding advantages of the proposed deposit management mode, which include improving deposit supervision and guaranteeing user deposit security, are also conducted. This article has made effective technical management exploration to reduce deposit management risks and improve deposit management institutions for shared bicycles. It has important practical reference value for accelerating the sustainable development of shared bicycle enterprises.