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The aggregate index and per capita index have different meanings for some countries or regions. CO₂ emissions per capita matters for China because of its huge population. Therefore, this study aims to deepen the understanding of Kuznets curve from the perspective of CO₂ emissions per capita. In this study, mathematical formulas will be derived and verified.

First, this study verified the existing problems with the environmental Kuznets curve (EKC) through multiple regression. Second, this study developed a theoretical derivation with the Solow model and balanced growth and explained the underlying principles of the EKC’s shape. Finally, this study quantitatively analyzed the influencing factors.

The CO₂ emission per capita is related to the per capita GDP, nonfossil energy and total factor productivity (TFP). Empirical results support the EKC hypothesis. When the proportion of nonfossil and TFP increase by 1%, the per capita CO₂ decrease by 0.041 t and 1.79 t, respectively. The growth rate of CO₂ emissions per capita is determined by the difference between the growth rate of output per capita and the sum of efficiency and structural growth rates. To achieve the CO₂ emission intensity target and economic growth target, the growth rate of per capita CO₂ emissions must fall within the range of [−0.92%, 6.1%].

Inspired by the EKC and balanced growth, this study investigated the relationships between China’s environmental variables (empirical analysis) and developed a theoretical background (macro-theoretical derivation) through formula-based derivation, the results of which are universally valuable and provide policymakers with a newly integrated view of emission reduction and balanced development to address the challenges associated with climate change caused by energy.

In concert with an ambitious national agenda that emphasizes free trade and globalization, lncheon Metropolitan City is taking the first steps toward reinventing itself to become a twenty-first century “Pentaport” with integrated Seaport, Airport, Technoport, Business Port, and Leisure Port components. The lncheon Pentaport transformation-projected to be complete by 2020-will entail significant industrial, sociological, and institutional modification. Leisure Port objectives can be achieved through responsible planning attuned to the ideal of sustainable development and by empirical studies of lncheon tourism and leisure dynamics. International benchmarks of leisure port success are found in Sydney, Australia; Vancouver, Canada; and San Diego, USA, among seven other cosmopolitan cities. Growth estimations for coastal ferry passengers; beach use; recreational vessels and yachts in the lncheon region are encouraging. lncheon Leisure Port development of ten amenity destinations will require equal and multidisciplinary attention to questions of tourism design and tourism impacts. Important issues will concern environmental quality, clean shipping practices, the proper balance of modem and traditional amenities and attractions, trade-offs of cultural homogeneity and cultural diversity, and creative destination branding and marketing, among others.

Artificial intelligence (AI) models are demonstrating day by day that they can find long-term solutions to improve wastewater treatment efficiency. Artificial neural networks (ANNs) are one of the most important of these models, and they are increasingly being used to forecast water resource variables. The goal of this study was to create an ANN model to estimate the removal efficiency of biological oxygen demand (BOD), total nitrogen (TN), total phosphorus (TP) and total suspended solids (TSS) at the effluent of various primary and secondary treatment methods in a wastewater treatment plant (WWTP).

The MATLAB App Designer model was used to generate the data set. Various combinations of wastewater quality data, such as temperature(T), TN, TP and hydraulic retention time (HRT) are used as inputs into the ANN to assess the degree of effect of each of these variables on BOD, TN, TP and TSS removal efficiency. Two of the models reflect two different types of primary treatment, while the other nine models represent different types of subsequent treatment. The ANN model’s findings are compared to the MATLAB App Designer model. For evaluating model performance, mean square error (MSE) and coefficient of determination statistics (R2) are utilized as comparative metrics.

For both training and testing, the R values for the ANN models were greater than 0.99. Based on the comparisons, it was discovered that the ANN model can be used to estimate the removal efficiency of BOD, TN, TP and TSS in WWTP and that the ANN model produces very similar and satisfying results to the APPDESIGNER model. The R-value (Correlation coefficient) of 0.9909 and the MSE of 5.962 indicate that the model is accurate. Because of the many benefits of the ANN models used in this study, it has a lot of potential as a general modeling tool for a range of other complicated process systems that are difficult to solve using conventional modeling techniques.

The objective of this study was to develop an ANN model that could be used to estimate the removal efficiency of pollutants such as BOD, TN, TP and TSS at the effluent of various primary and secondary treatment methods in a WWTP. In the future, the ANN could be used to design a new WWTP and forecast the removal efficiency of pollutants.

While entrepreneurship has long been heralded for its positive contributions, there is a growing recognition of its “dark side,” characterized by unproductive, unethical and destructive actions. This exploratory literature review aims to illuminate the underexplored dark side of entrepreneurship, thereby enriching the discourse on entrepreneurship’s dual nature.

This study employs a robust mixed-method approach, integrating phenomenologically detailed co-citation bibliographic coupling with detailed thematic data and code-weaving. Science mapping tools like R-Bibliometrix and VOSviewer enhance the credibility of the findings by providing a sophisticated and reproducible methodological framework.

This review defines dark entrepreneurship, its characteristics, and its complexities. We introduced the “Dark Entrepreneurship Trinity”: Ethical Complexity, Institutional Navigation and Conflict Entrepreneurialship, with Institutional Navigation as the apex theme. It elucidates how this theme influences ethical dilemmas and operational strategies in conflict zones, illustrated through a diagram depicting their complex interrelations and dynamics.

The originality of this literature review lies in its comprehensive synthesis of the dark side of entrepreneurship. This review significantly contributes to the academic discourse by delineating a clearer picture of the destructive potentials of entrepreneurship. It compiles existing research, critically addresses the gaps and suggests future pathways for empirical studies.

Ports are often seen as engines behind regional economic development, because ports attract a variety of economic activities. This paper focuses on the role of ports in global supply chains and the opportunities to attract new economic activities in logistics. The central argument of the paper is that the role of ports as a location for logistics activities evolves with the evolution of logistics concepts. Evidence from West Europe is discussed. With the evolution of logistics concepts towards central coordination and more decentralized physical distribution, ports will see its multinational function diminish, eventually replaced by logistics activities with a more regional function and stronger integrated with production activities. Ports then have to face the competition from inland locations for value added logistics activities. The case of logistics developments provides a basis for analysing the increasingly important questions “What logistics activities ports can attract?” and “What is the appropriate strategy to result in this?”

This study aims to investigate the concept of port service quality (PSQ) and examine its influence on customer satisfaction in the container port sector in Vietnam. Despite the importance of the maritime industry in which port is a critical sector in the national economy, there has been no research so far which examines what PSQ entails and how it affects customer satisfaction in the context of Vietnam.

Following a literature review, a conceptual model of PSQ and its influence on customer satisfaction was proposed. A survey questionnaire was then developed and piloted with senior executives who are working in various container shipping lines and logistics companies in Vietnam. The questionnaire was first designed in English and then refined through the process of translation and back-translation to ensure language non-discrepancies. The survey was administered to 200 members of Vietnam Shipowners’ Association, Vietnam Logistics Associations and Vietnam Shippers’ Council. By the cut-off date, 108 questionnaires were received, in which 99 valid replies were used for further analysis.

Results from this study reveal that PSQ is a construct of 4 factors and 16 items, and that enhanced PSQ will positively influence customer satisfaction, in which the outcomes of port service performance and its image would have the greatest impact. Interestingly, most items relating to social and environmental responsibility were dropped, and this result is expected in the context of a developing country like Vietnam.

Findings from this research may enhance port managers’ understanding on areas of PSQ to improve so as to meet and exceed their customers’ satisfaction.

The purpose of this study is to understand whether the spectator’s emotional attachment to esports’ players is key for the sponsoring brand’s outcomes. A theoretical model based on the attachment, social influence and brand communities’ literature is proposed.

Data were collected through an online survey from a sample of 1,355 regular esports viewers. The proposed conceptual model was evaluated using partial least squares-structural equation modeling (PLS-SEM).

The results showed that emotional attachment to esports players exerts a large effect on the viewer’s engagement with the community and his or her intention to view its content for longer. These two variables are key in explaining the viewer’s intention to perform positive behaviors toward the sponsoring brand, such as recommendation, purchase intentions and co-creation.

This study improves the understanding about the effects of the viewer’s emotional bond with esports players and the bond’s impact on the development of positive behaviors toward the sponsoring brand.

El objetivo de este estudio es comprender cómo el apego emocional del espectador hacia el jugador de esports es determinante para los resultados de la marca patrocinadora. Para ello se propone un modelo teórico basado en la literatura sobre el apego, la influencia social, y las comunidades de marca.

Se recopilaron datos de una muestra de 1.355 espectadores habituales de esports mediante una encuesta online. El modelo conceptual propuesto se evaluó con la técnica de ecuaciones estructurales por el método de mínimos cuadrados parciales (PLS-SEM).

Los resultados muestran que el apego emocional hacia el jugador de esports ejerce un gran efecto tanto en el compromiso del espectador con la comunidad como en su intención de permanecer más tiempo visionando sus contenidos. Estas dos variables son clave para explicar la intención del espectador de realizar comportamientos positivos hacia la marca patrocinadora como son la recomendación, la intención de compra y la cocreación.

Este estudio contribuye a mejorar la comprensión sobre los efectos del vínculo emocional del espectador con los jugadores de esports y su impacto en el desarrollo de comportamientos positivos hacia la marca patrocinadora.