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Recently the route connecting the trans-Korean railway and the trans-Siberian railway has become of particular interest for many academics and policy-makers in East Asian countries. The extensive review of previous studies, however, reveals that literature on the subject is lacking solid analytical framework. Most studies are one-sided, focusing on the political aspects of the issue or paying little attention to the economic aspects of the problem.

This study intends to develop an analytical framework through which the most efficient route among four major alternative routes connecting the trans-Korean and trans-Siberian railways can be identified. It attempts to assign priorities to the four alternative routes according to their level of economic efficiency.

This study utilizes a simple cost-benefit analysis in evaluating the four routes. Cost side, transportation time, effectiveness of customs procedures, and gauge difference are selected as the main economic factors. The volume of cargo, industrial production in adjacent regions, access to natural resources, and market size and foreign investment climate are used to evaluate the benefits of the routes.

The study concludes that Route 3, which connects ‘Busan - Seoul (South Korea) –Pyongyang -Sinuiju (North Korea) –Shenyang –Beijing - Erenhot (China) –Ulaanbaatar (Mongolia) –Ulan-Ude - Moscow (Russia)’ is the most efficient route.

The intended nationally determined contributions (INDCs) is a major outcome of the Paris Agreement on international cooperation to reduce emissions, and is likely to be the future scenario for carbon emissions. This paper aims to obtain the fine spatial pattern of carbon emissions in 2030, identify hot spots and analyze changes of carbon emissions with a spatial grid method.

Based on the integrated quantified INDCs of each economy in 2030, the authors predict the population density pattern in 2030 by using the statistics of current population density, natural growth rates and differences in population growth resulting from urbanization within countries. Then the authors regard population density as a comprehensive socioeconomic indicator for the top-bottom allocation of the INDC data to a 0.1° × 0.1° grid. Then, the grid spatial pattern of carbon emissions in 2030 is compared with that in 2016.

Under the unconditional and conditional scenarios, the global carbon emission grid values in 2030 will be within [0, 59,200.911] ktCO₂ and [0, 51,800.942] ktCO_2, respectively; eastern China, northern India, Western Europe and North America will continue to be the major emitters; grid carbon emissions will increase in most parts of the world compared to 2016, especially in densely populated areas.

While many studies have explored the overall global carbon emissions or warming under the INDC scenario, attention to spatial details is also required to help us make better emissions attributions and policy decisions from the perspective of the grid unit rather than the administrative unit.

This paper presents a generic simulation model to determine the equipment mix (quay, yard and intra-terminal transfer) for a Container Terminal Logistics Operations System (CTLOS). The simulation model for the CTLOS, a typical type of discrete event dynamic system (DEDS), consists of three sub-models: ship queue, loading-unloading operations and yard-gate operations. The simulation model is empirically applied to phase 1 of the Yangshan Deep Water Port in Shanghai. This study considers different scenarios in terms of container throughput levels, equipment utilization rates, and operational bottlenecks, and presents a sensitivity analysis to evaluate and choose reasonable equipment ratio ranges under different operational conditions.

The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) Strategy is an important component of the “Belt and Road Initiative” of China. The purpose of this Project is to develop the GBA into the most open, market-oriented and innovative pole of economic growth in China. The GBA Project provides Hong Kong with a rare opportunity to diversify its industrial structure and to move into a new and higher stage of economic development.

Being an integral part of the GBA, Hong Kong is expected and supported by the Central Government to develop into a hub of the Area, and, leveraging on Hong Kong’s status as an international metropolis, to connect the Area as a whole with the world.

China’s Guangdong-Hong Kong-Macao Greater Bay Area Project is a major national development strategy and is a major part of the Belt and Road Initiative. Hong Kong is going to play an important role in the Project and will benefit from it enormously in the future in terms of economic growth and the upgrading of its industrial structure. However, in order to take full advantage of participation in the Project, the way Hong Kong is governed, particularly the government's role in economic development, has to be modified significantly.

In order to take advantage of the Project, the Hong Kong SAR Government has to play a bigger and more proactive role in Hong Kong’s socioeconomic development and to strengthen its capacity to mobilize societal participation in the Project.

This study aims to empirically examine the influence of financial constraints on firm carbon emissions. In addition to the role of financial constraints in firm-level carbon emissions, this study also examines this influence in the presence of governance, environmental orientation and firm-level attributes.

Using pooled ordinary least square, this study examines the impact of financial constraints on firm-level carbon emissions using a panel of 1,536 US firm-year observations from 2008 to 2019. This study also used two-step generalized method of moment–based dynamic panel data and two-stage least square approaches to address potential endogeneity. The results are robust to endogeneity and collinearity issues.

The results suggest that financial constraints enhance the carbon emissions of the firms. The economic significance of financial constraints on carbon emissions is more pronounced for the firms that do not report environment-related expenditure investment and those that are highly leveraged. The authors further document that firms with a nondiverse gender board signify a statistically significant impact of financial constraints on carbon emissions. These results are also economically significant, as one standard deviation increase in financial constraints is associated with a 3.340% increase in carbon emissions at the firm level.

Some implicit and explicit factors like corporate emissions policy and culture may condition the relationship of financial constraints with carbon emissions. Therefore, it would be worthwhile to consider these factors for future research. In addition, it is beneficial to identify the thresholds and/or quantiles at which financial constraints may significantly make a difference in enhancing carbon emissions.

The findings offer policy implications for investment in stakeholder engagement for capital acquisitions, thereby effectively enforcing environmental innovation and leading to a reduction in carbon emissions.

This study integrated governance and environment-oriented variables in the model to empirically examine the role of financial constraints on the carbon emissions of the firms in the USA over and above what has already been documented in the earlier literature.

Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.

The study aims to examine the geoeconomic significance of the Gulf Cooperation Council (GCC) countries to China’s global geopolitical ends. In this vein, the paper also seeks to explore the interplay between China’s grand geoeconomic strategy and China’s geopolitical ends from a realist perspective.

The study uses the realism theory to explore the interplay between China’s geoeconomic presence in the GCC countries and its geopolitical global ends.

The study concludes that China under President Xi Jinping has geopolitical ends, and they are the regional and global leadership. To achieve them, President Xi has formulated a grand geoeconomic strategy consisting of four strategies: going out strategy, periphery strategy, Belt and Road Initiative (BRI) and Asian Infrastructure Investment Bank. These strategies will maximize China’s economic power and presence around the world. From a realist perspective, this presence and its evolving consequences such as the balance of dependence will enable China to achieve its geopolitical ends. In this vein, China’s geoeconomic strategy in the GCC countries has largely maximized China’s economic presence in the Gulf. This presence highly serving China’s geopolitical global ends for two reasons: the economic weight of the GCC countries and their strategic location within BRI.

The study can prove the realistic dimension of geoeconomics in the neoliberal era on the application to China’s geoeconomic strategy.

Urban landscapes play a significant role in supporting municipal, ecological and social systems. Besides, valuable environmental services and urban green spaces provide social and psychological services, very important for the liveability of modern cities and the well-being of urban residents. It is clear that the area of green space in a city, the method of designing urban landscape and access to urban green space potentially affect the health, happiness, comfort, safety and security of urban dwellers. Urban landscape plays a significant role in providing habitats for wildlife, and an important vegetation type in doing this is species-rich herbaceous vegetation that provides pollen and nectar plus physical habitat for native fauna. Any factor that makes an impression on the urban landscape (such as climate change) will affect people’s lives directly or indirectly. There is a universal consensus that the temperature has increased in most of the world over the past century the investigation of climate change impacts on the urban landscape is the purpose of this study.

Understanding the process of climate change adaptation is necessary to design plant communities for use in public landscapes. Increased CO₂ and air temperature in conjunction with the changing rainfall conditions, as the three important factors of climate change, potentially alter almost all world ecosystems. Climate change provides new opportunities, and in some cases, an obligate need to use non-native plant species in conjunction with native plant species, not only to reduce the side effects of climate change but also to increase the species diversity and aesthetic value in meadow-like naturalistic planting design.

The authors confirm that this work is original and has not been published elsewhere. In this paper, the authors report on the effects of climate change on urban landscape and suggest different kind of solutions to reduce the effects. The paper should be of interest to readers in the areas of landscape architecture, landscape ecologist, landscape planner, landscape managers and environmental designer.

This paper aims to investigate the motivations of social entrepreneurs in East Africa to create a social enterprise and their identified links to successful social entrepreneurship in East Africa.

The authors employed a qualitative method by performing thematic analysis on a set of interviews on social entrepreneurs from East Africa who are Ashoka fellows.

The findings suggest that intense personal experiences linked to past-life events as well as a high achievement orientation towards improving livelihoods and creating impact serve as key triggers for social entrepreneurship. Successful entrepreneurship focusses on system change at national and local levels. Their success is also seen when the social entrepreneurs have achieved their mission and are no longer needed; thus, they become irrelevant. The paper discusses the implications of these findings on the model used for sustainable social entrepreneurship in East Africa.

Based on an exploratory research on Ashoka fellows, the study adds insight to their motivations and success which can be used in a wider scale study of the same.

The authors advance the scarce empirical research on East African social entrepreneurs, link success factors of social entrepreneurship to a recent framework on motivation to engage in social entrepreneurship and stimulate further research in the area. The study contributes to the literature on social entrepreneurship by linking success factors of social entrepreneurship to a recent framework on motivation to engage in social entrepreneurship.

To date, there are no studies in the literature that provide a comprehensive understanding of the interrelationships between the slenderness ratio and the main design criteria in supertall towers (=300 m). In this paper, this important issue was explored using detailed data collected from 75 cases.

This paper was carried out with a comprehensive literature review including the database of the Council on Tall Buildings and Urban Habitat(CTBUH) (CTBUH, 2022), peer-reviewed journals, MSc theses and PhD dissertations, conference proceedings, fact sheets, architectural and structural magazines and other Internet sources. In this study, the case study method was also used to gather and consolidate information about supertall towers to analyze the interrelationships. Cases were 75 supertall buildings in various countries [44 from Asia (37 from China), 16 from the Middle East (6 from Dubai, the United Arab Emirates), 11 from the United States of America and 3 from Russia, 1 from the UK].

The paper's findings highlighted as follows: (1) for buildings in the height range of 300–399 m, the slenderness ratio was usually between 7 and 7.9 and megatall towers were frequently built at a slenderness ratio of 10–15; (2) the median slenderness ratio of buildings in the 400–599 m height ranges was around 8.6; (3) a trend towards supertall slender buildings (=8) was observed in Asia, the Middle East and North America; (4) residential, office and mixed-use towers had a median slenderness ratio of over 7.5; (5) all building forms were utilized in the construction of slender towers (>8); (6) the medium slenderness ratio was around 8 for supertall buildings constructed with outriggered frame and tube systems; (7) especially concrete towers reached values pushing the limits of slenderness (>10) and (8) since the number of some supertall building groups (e.g. steel towers) was not sufficient, establishing a scientific relationship between aspect ratio and related design criteria was not possible.

To date, there are no studies in the literature that provide a comprehensive understanding of the interrelationships between the slenderness ratio and the main design criteria in supertall towers (=300 m). This important issue was explored using detailed data collected from 75 cases.