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While the tourism–growth nexus is one of the better researched themes in both tourism and economics literature, there is limited evidence on how institutional quality affects this link, especially in the context of the developing world. To address this gap, this study aims to investigate the tourism-led growth hypothesis (TLGH) through the lens of institutional quality, drawing on evidence from African economies.

This study adopts a longitudinal design, involving panel data on 43 countries over an 18-year period, and the data were analyzed using the difference generalized method of moments model.

Results indicated that international tourism earnings contributed to economic growth in the selected economies. However, institutional quality negatively moderated the tourism–growth relationship on the continent, particularly in low-income economies, while reinforcing this link in middle-income countries.

This study provides new insights into how the TLGH varies across different levels of institutional quality and development.

虽然旅游业与经济增长之间的关系研究是旅游和经济领域中较为深入的主题之一, 但目前关于制度质量如何影响这种关系的研究仍然较少, 而以发展中国家作为研究对象的研究更为有限. 为了填补这一研究空白, 本研究从制度质量的角度出发, 以非洲国家为例, 深入探讨旅游业主导增长假说。

本研究采用纵向设计, 采集18年期间43个国家的面板数据, 并使用差异广义矩法 模型对数据进行分析。

研究结果表明, 国际旅游收入促进了所选经济体的经济增长. 然而, 非洲大陆的旅游业与增长关系受到制度质量的负向调节作用; 这种负面调节在低收入国家中更为明显, 但在中等收入国家制度质量却对旅游业与增长的关系起到了正向调节作用。

本研究创新性地研究了旅游主导增长假说 (TLGH) 在不同制度质量和发展水平下的不同表现。

Aunque el nexo entre turismo y crecimiento es uno de los temas mejor investigados tanto en la literatura turística como en la económica, existen pocas pruebas sobre cómo afecta la calidad institucional a este vínculo, especialmente en el contexto del mundo en desarrollo. Para abordar esta laguna, el presente estudio investiga la hipótesis del crecimiento impulsado por el turismo a través de la perspectiva de la calidad institucional, basándose en evidencias de las economías Africanas.

El estudio adopta un diseño longitudinal, con datos de panel sobre 43 países a lo largo de un periodo de 18 años, y los datos se analizaron utilizando el modelo de diferencias del Método generalizado de momentos.

Los resultados indicaron que los ingresos del turismo internacional contribuyeron al crecimiento económico de las economías seleccionadas. Sin embargo, la calidad institucional moderó negativamente la relación turismo-crecimiento en el continente, particularmente en las economías de renta baja, mientras que reforzó este vínculo en los países de renta media.

El estudio brinda nuevos conocimientos sobre cómo la hipótesis de crecimiento impulsado por el turismo (TLGH) varía en diferentes niveles de calidad institucional y desarrollo.

The unitized curtain wall system (UCWS), a symbol of modern architecture, is gaining popularity among prefabricated components. Previous studies have focused on both construction technology advances and material selection strategies to facilitate the UCWS. However, the topic of client satisfaction, which drives industry development by targeting clients' demands, has gone unnoticed. Therefore, the current study aims to investigate client satisfaction with UCWS products in Hong Kong by finding its influential factors.

A systematic review was employed to first identify the influential factors. A semi-structured interview was employed to validate the reliability of the extracted factors. The machine learning algorithm Extreme Gradient Boosting (XGBoost) and the Pearson correlation were then employed to rank the importance and correlation of factors based on the 1–5 Likert scale scores obtained through a questionnaire survey.

The findings revealed that “reduction in construction time” and “reduction in construction waste” are the most important factors and have a strong positive influence on client satisfaction.

Unlike previous studies, the present study focused on a novel research topic and introduces an objective analysis process using machine learning algorithms. The findings contribute to narrowing the knowledge gap regarding client preference for UCWS products from both individual and collaborative perspectives, providing decision-makers with an objective, quantitative and thorough reference before making investments in the curtain wall management development.

Considering the substantial benefits derived from the use of Building Information Modeling (BIM) in construction projects, governments and its related sectors have introduced mandatory policies requiring the use of BIM. However, little is known about the impact of mandatory policies on BIM-based project performance. Therefore, the purpose of this paper is to provide a systematical understanding on the impact of policy interventions on the implementation practice of innovative technologies.

This paper utilizes the propensity score matching and difference in differences (PSM-DID) method to investigate the impact of policy interventions on BIM-based project performance. Using the panel data collected from 2015 to 2021 in the Hong Kong construction industry, this paper explores the impact of the first mandatory BIM policy on the BIM-based project performance of three key stakeholders.

The subjective BIM performance and BIM return on investment (ROI) have significantly improved after implementing the mandatory BIM policy. The promotion effect of mandatory BIM policy on BIM-based project performance gradually increases over time. Moreover, the promotion effect of mandatory BIM policy on BIM performance shows significant heterogeneity for different stakeholders and organizations of different sizes.

This study examined the impact of policy interventions on BIM-based project performance. The research findings can provide a holistic understanding of the potential implications of innovative mandatory policy in performance improvement and offer some constructive suggestions to policymakers and industry practitioners to promote the penetration of BIM in the construction industry.

Organizational justice plays a crucial role in shaping employee work attitudes. This study examines how and when procedural, distributive, interpersonal, and informational justice affects employees’ affective commitment and work engagement. The research is grounded in an extended job demands-resources model, incorporating the social identity theory. The integrated model hypothesizes that all four dimensions of organizational justice positively influence employees’ commitment and engagement by fostering organizational identification. Furthermore, it is posited that this cognitive-affective process is particularly significant when employees face high job demands, as opposed to low job demands.

A three-wave prospective study was conducted with a sample of 400 employees in the social and personal services industry in Hong Kong, China. Data were collected at baseline, three months, and one year.

The findings support the hypothesized conditional indirect associations between organizational justice (procedural, distributive, and informational justice) and both measures of work attitudes.

This study highlights the importance of fair, ethical, and just procedures, resource distribution, and communication in organizations, particularly in stressful industries. Employers and supervisors are encouraged to adopt employee-oriented management practices, foster positive leader-member exchange relationships, and acknowledge and reward valuable contributions.

This study contributes to the existing literature on organizational justice by elucidating its underlying cognitive-affective mechanism and identifying the boundary conditions under which it operates.

This study aims to analyze online responses to gain insights into public attitudes and concerns regarding traditional Chinese medicine (TCM) among Hong Kong residents. By addressing gaps in understanding public sentiment, this study contributes to the development of effective health-care policies.

Responses were collected from Baby-Kingdom.com using Python, gathering 17,568 TCM-related comments from 2016 to 2023. Analysis involved an eight-theme codebook and sentiment and semantic network analyses with DiVoMiner.

Most responses expressed positive sentiments and attitudes toward TCM. The analysis revealed recurring topics related to conditioning and specific diseases, including gynecological problems. Clinic service quality, fair pricing and convenient locations were also highlighted.

This study examines the networked public sphere and the Theory of Planned Behavior regarding TCM, emphasizing online forums’ impact on attitudes and highlighting gaps in service access, using big data and an interdisciplinary approach.

The findings of this study from Baby-Kingdom.com emphasize the need to improve the accessibility of TCM-related discussions. An official platform for professionals is proposed, with government support for reliable information and partnerships with local universities to expand services.

This study provides valuable insights into the popularity of TCM in Hong Kong, which may encourage uptake and use of TCM services in the health-care sector in not only Hong Kong but also the Greater Bay Area, China and potentially other countries in the future.

This paper aims to reveal the green governance role played by stock connect in transition economies from the perspective of corporates’ environmental violations and provides implications for the coordination and optimization of subsequent stock market liberalization and green transformation policies in pursuit of carbon peaking and carbon neutrality goals.

With the data of Chinese listed enterprises, this paper takes the Shanghai-Hong Kong Stock Connect or Shenzhen-Hong Kong Stock Connect in China as a quasi-natural experiment and applies the multi-period difference-in-difference (DID) model to identify the impact of stock market liberalization on the corporates’ environmental violations.

The findings reveal that the stock market liberalization significantly restrains the corporates’ environmental violations. These findings are robust to a series of sensitivity tests, including excluding two-way effects, adjusting the year of policy implementation, replacing the core variables, introducing the regional fixed effects and excluding the interference effect of other relevant policies during the sample period. Furthermore, the stock market liberalization is beneficial for upgrading information disclosure quality, improving internal governance capability, strengthening environmental protection incentives, and thus restrains corporates’ environmental violations. Meanwhile, heterogeneity tests show that the inhibitory effects are more significant in those grouped samples which is large scale, state-owned nature, located in eastern region, with poor evaluation performances and heavy tax burden.

We make two marginal contributions to the current literature. First, this paper enriches the literature on the factors influencing corporate environmental violations by focusing on how the macro-level financial policy influences the micro-level corporate environmental violations. One the one hand, prior studies mainly focused on the consequences of corporate environmental violations; however, there is still a puzzle that the effect of stock market liberalization cannot be fully justified to influence corporate environmental violations. The findings help explain this puzzle by examining that stock market liberalization can restrain corporate environmental violations. Moreover, prior studies mainly focused on corporate share price (Yunsen Chen et al., 2022), market liquidity (Han Kim and Singal, 2000), information disclosure (Liang, Lin, and Chin 2012), corporate governance (Bae and Goyal, 2010) and corporate violations (Lingyun Xiong et al., 2021), but not on corporate environmental violations. We assume that the suppression effect of stock market liberalization on corporate environmental violations can help reduce corporate environmental violations, improve corporates’ awareness of environmental compliance. Second, this paper contributes to a better understanding of the literature on stock market liberalization by investigating the restraining effect of Stock Connect on corporate environmental violations from the perspective of information channel, corporate governance channel and motivation channel, which is of practical significance. Moreover, we investigate the differences in the inhibitory effects of stock market liberalization on different enterprises' environmental violations, from firm size, property rights, enterprise assessment results, tax burden to geographical location, which is conducive to the construction of a green financial system and the promotion of sustainable economic development. Our results show that firms which are large scale, state-owned nature, located in eastern region, with poor evaluation performances and heavy tax burden tend to compliance with environmental laws. These findings emphasize the importance and benefits of Stock Connect.

The purpose of this study is to address the welding demands within large steel structures by presenting a global spatial motion planning algorithm for a mobile manipulator. This algorithm is based on an independently developed wall-climbing robot, which comprises a four-wheeled climbing mobile platform and a six-degree-of-freedom robotic manipulator, ensuring high mobility and operational flexibility.

A convex hull feasible domain constraint is developed for motion planning in the mobile manipulator. For extensive spatial movements, connected sequences of convex polyhedra are established between the composite robot’s initial and target states. The composite robot’s path and obstacle avoidance optimization problem are solved by constraining the control points on B-spline curves. A dynamic spatial constraint rapidlye-xploring random trees-connect (RRTC) motion planning algorithm is proposed for the manipulator, which quickly generates reference paths using spherical spatial constraints at the manipulator’s end, eliminating the need for complex nonconvex constraint modeling.

Experimental results show that the proposed motion planning algorithm achieves optimal paths that meet task constraints, significantly reducing computation times in task conditions and shortening operation times in non-task conditions.

The algorithm proposed in this paper holds certain application value for the realization of automated welding operations within large steel structures using mobile manipulator.

A qualitative approach based on grounded theory was utilized, with data collected through 26 semi-structured interviews with social entrepreneurs. Alas’s Triangular Model provided the framework for data analysis and interpretation.

This study explores how Hong Kong social enterprises approached crisis and change management during the COVID-19 pandemic, examining their resilience-building strategies.

The pandemic triggered an existential crisis for many social enterprises, causing severe revenue losses. However, strong leadership and cultures based on social mission enabled resilience. Enterprises demonstrated agility by rapidly transitioning operations online and establishing partnerships. Technology adaptation and social innovation were pivotal to sustaining impact.

As the sample comprises enterprises that survived the pandemic, insights into failed enterprises are lacking. Comparative analysis could illuminate differences in crisis response between successful and unsuccessful cases.

The study’s practical implications suggest that social enterprises should focus on developing flexible crisis management plans, cultivating purposeful leadership, embracing digital transformation, strengthening collaborative networks and prioritizing organizational learning to effectively navigate crises while staying true to their social missions.

Findings demonstrate how shared values and cultures grounded in purpose can anchor organizations amidst upheaval, fostering resilience. This underscores the role of social enterprises in modeling responsiveness to societal needs.

While research has examined social enterprises’ vulnerability in crises, investigation into their crisis management practices is limited. This study enriches understanding of how social enterprises effectively navigate turbulence.

The purpose of this paper is to examine the underlying mechanisms influencing the social entrepreneurial intentions of individuals in China, adopting social capital theory, bottom-up and people-based approach. The interrelated effects of intellectual capital (social community trust, social capital bonding and social participation) on social innovation tendency were measured.

We recruited 502 Chinese individuals by utilising a reliable survey platform in China. This study used structural equation modelling as an analytical approach to examine the influence of social capital on social innovation and social entrepreneurship intention.

The findings showed that social innovation tendencies mediate the relationship between social community trust, social capital bonding and social participation and the social entrepreneurial intentions of individuals. The findings support the tested hypotheses that social innovation tendencies are the key mechanism to translate into stronger social entrepreneurial intentions. An iterative framework emphasising transparency and open collaboration among stakeholders, which are vital for fostering social entrepreneurial intentions, was proposed.

This is a novel empirical study to apply social capital theory to the field of social enterprises in the Chinese context using structural equation modelling, bottom-up, people-based approach and iterative model. The findings offer valuable practical insights for entrepreneurial and SME practices to foster social entrepreneurship through a people-based approach, emphasising the importance of fostering trust, strengthening social bonds, and encouraging active social participation.

Modern human society has continuous advancements that have a negative impact on the quality of the air. Daily transportation, industrial and residential operations churn up dangerous contaminants in our surroundings. Addressing air pollution issues is critical for human health and ecosystems, particularly in developing countries such as Egypt. Excessive levels of pollutants have been linked to a variety of circulatory, respiratory and nervous illnesses. To this end, the purpose of this research paper is to forecast air pollution concentrations in Egypt based on time series analysis.

Deep learning models are leveraged to analyze air quality time series in the 6th of October City, Egypt. In this regard, convolutional neural network (CNN), long short-term memory network and multilayer perceptron neural network models are used to forecast the overall concentrations of sulfur dioxide (SO₂) and particulate matter 10 µm in diameter (PM₁₀). The models are trained and validated by using monthly data available from the Egyptian Environmental Affairs Agency between December 2014 and July 2020. The performance measures such as determination coefficient, root mean square error and mean absolute error are used to evaluate the outcomes of models.

The CNN model exhibits the best performance in terms of forecasting pollutant concentrations 3, 6, 9 and 12 months ahead. Finally, using data from December 2014 to July 2021, the CNN model is used to anticipate the pollutant concentrations 12 months ahead. In July 2022, the overall concentrations of SO₂ and PM₁₀ are expected to reach 10 and 127 µg/m³, respectively. The developed model could aid decision-makers, practitioners and local authorities in planning and implementing various interventions to mitigate their negative influences on the population and environment.

This research introduces the development of an efficient time-series model that can project the future concentrations of particulate and gaseous air pollutants in Egypt. This research study offers the first time application of deep learning models to forecast the air quality in Egypt. This research study examines the performance of machine learning approaches and deep learning techniques to forecast sulfur dioxide and particular matter concentrations using standard performance metrics.