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ISSN: 2096-2320
CN: 10-1383/C
e-ISSN: 2589-5532

A nonparametric distance function approach with endogenous direction for estimating marginal abatement costs of CO2 emissions

The directional distance function (DDF) framework has been widely used to estimate the marginal abatement cost (MAC) of CO2 emissions to support decision-making in environmental sustainability and climate...

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Connectedness and systemic risk of the banking industry along the Belt and Road

This paper adopts the tail-event driven network (TENET) framework to explore the connectedness and systemic risk of the banking industry along the Belt and Road (B&R) based on weekly returns of 377...

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Multi-objective vehicle rebalancing for ridehailing system using a reinforcement learning approach

The problem of designing a rebalancing algorithm for a large-scale ridehailing system with asymmetric (unbalanced) demand is considered here. We pose the rebalancing problem within a semi Markov decision...

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Size effect and growth options over firm lifecycle

The size effect can be attributed to the relative importance of growth options versus assets-in-place in total assets. By incorporating the changing trend of growth options over firm lifecycle into...

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Trip and mode choice decisions to out-patient health care facilities: A longitudinal analysis

This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities. The study's focus is an out-patient trip to a health care facility, and the...

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Mediation effects of online public attention on the relationship between air pollution and precautionary behavior

This study investigates the mediation effects of online public attention on the relationship between air pollution and precautionary behavior based on a merged real-world data set that includes daily...

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Correlation ambiguity, listing choice, and market microstructure

This paper investigates the implication of correlation ambiguity to investor behavior, asset pricing and issuers' listing choices from a market microstructure perspective. We introduce two markets to...

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Comparing the costs and benefits of virgin and urban mining

Resource and environmental management are shaping our society and economy. Virgin mining is rapidly becoming unsustainable as primary resources are in increasingly short supply and energy consumption...

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Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms

Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the Japanese pronunciation for cell), and has been widely implemented in hundreds of...

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The effects of person-organization fit on lending behaviors: Empirical evidence from Kiva

Donation-based crowdfunding, as part of impact investment, plays a vital role in promoting economic development and alleviating poverty. In order to enhance the lender's enthusiasm for lending behavior,...

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Optimal adoptions of freemium version and patching strategy: Network and security externalities

The freemium pricing model has become mainstream in the software industry. A large user base can induce positive network effects while expanding security risks associated with unpatched users. This...

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Pricing and observational learning in crowdfunding: The moderate effect of target

This paper studies pricing and observational learning in a reward-based crowdfunding campaign context. The creator sets a funding target and uses different pricing strategies in order to make the project...

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Publisher's note

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Rumor recognition behavior of social media users in emergencies

Social media rumors not only affect the health of online social networks, but also reduce the quality of information accessed by its users. In the case of emergencies, the rapid spread of rumors often...

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Minimizing makespan of a production batch within concurrent systems: Seru production perspective

This paper discusses the makespan minimization of a production batch within a specific concurrent system, seru production system. A seru production system consists of multiple independent serus. A seru...

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Dynamic appointment scheduling for outpatient clinics with multiple physicians and patient choice

Mitigating the adverse effects of uncertainty in appointment systems, arising from heterogeneous patient needs and preferences, is critical to the effective use of scarce medical resources and patient...

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A review of DEA methods to identify and measure congestion

Congestion is an economic phenomenon of overinvestment that occurs when excessive inputs decrease the maximally possible outputs. Although decision-makers are unlikely to decrease outputs by increasing...

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The evolution and determinants of Chinese property insurance companies’ profitability: A DEA-based perspective

The property insurance industry grows fast in China and it is necessary to further investigate the profitability of the Chinese property insurance industry. This study investigates the evolution and...

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Operating efficiency in Chinese universities: An extended two-stage network DEA approach

Operating efficiency of universities is widely concerned by the education community. As a non-parametric method for efficiently handling multiple inputs and outputs, data envelopment analysis (DEA)...

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Investigating the role of emissions trading policy to reduce emissions and improve the efficiency of industrial green innovation

Rapid economic development usually leads to serious environmental pollution problems. In order to solve the problem of pollutant emission in sustainable industrial development, it is urgent to examine...

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Research performance evaluation of Chinese university: A non-homogeneous network DEA approach

Performance evaluation for universities or research institutions has become a hot topic in recent years. However, the previous works rarely investigate the multiple departments’ performance of a university,...

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Stochastic leader–follower DEA models for two-stage systems

Data envelopment analysis (DEA) is a non-parametric approach for measuring the relative efficiencies of peer decision making units (DMUs). In recent years, it has been widely used to evaluate two-stage...

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A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies

Data Envelopment Analysis (DEA) is a linear programming methodology for measuring the efficiency of Decision Making Units (DMUs) to improve organizational performance in the private and public sectors....

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Enhancing the green efficiency of fundamental sectors in China’s industrial system: A spatial-temporal analysis

Due to sectoral interactions in the economy, the overall green efficiency (GE) of China’s industrial system relies heavily on fundamental sectors that contribute substantial energy to the supply chain...

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