Suchergebnisse

As climate change, food crises, sustainable development, and ecological conservation gain traction, the revival of traditional fishing villages has become an important governmental policy for Taiwan. To reduce cognitive bias, the choice experiment method was applied to construct an attribute function in fishing village tourism coupled with virtual reality headsets. Conditional logit and random parameter logit models were employed to estimate tourism utility functions. Moreover, a latent class model was employed to determine whether hetxerogeneous preferences regarding fishing village travel existed. The sampling sites were distributed across the Dongshi area. In total, 612 tourists and 170 local residents were interviewed. After incomplete questionnaires were removed, 816 valid questionnaires remained, representing 95.83% of the total questionnaires. Older residents and residents with shorter histories of education were inclined to increase land development and utilization by reducing natural landscapes; tourists preferred preserving landscapes and preventing land development. Residents with more education believed that local landscape imagery was essential. Tourists who were more educated, with high incomes, and those who were older believed that a selling platform incorporating local industries and products within the villages would be attractive for other tourists.

In this paper, the overall ecological and environmental sustainability in the Cing-Jing region in Taiwan is examined. As land use and cover change has been found to be an important analysis method, an emergy ecological footprint model was applied and the eco-security assessed to ensure authorities maintain a balance between ecological preservation and tourism development. While the ecological environment in the Cing-Jing region from 2008 to 2014 was found to be within safe levels, all related indices had increased considerably. A Grey model was used to predict the 2015–2024 ecological carrying capacities, from which it was found that there is expected to be a large increase in per capita ecological footprints (EFs), meaning that in the future there is going to be a larger ecological deficit and a higher ecological pressure index (EFI), with the eco-security predicted to reach a Grade 2 intermediate level in 2022. As the Cing-Jing region is predicted to become ecologically unsustainable, local, regional, and national governments need to implement regulations to strictly control the land use in the Cing-Jing region. This study demonstrated that emergy EF (EEF) theory application can give objective guidance to decision-makers to ensure that recreational non-urban eco-security can be maintained at a safe level.

This paper explores the interaction between immigrant small and medium-sized enterprises (SMEs) and the entrepreneurial ecosystems of their home and host countries. These SMEs, often established out of necessity due to economic hardship or unemployment, contrast with opportunity-driven ventures that seek to exploit new market prospects. Employing a dynamic capabilities framework, the study investigates how immigrant SMEs identify and mobilize critical resources in unstable environments, and how these resources are dynamically adapted and transformed to meet organizational objectives while responding to ecosystem changes, ultimately cultivating competitive advantages. Interviews were conducted with 25 immigrant entrepreneurs from eight countries, and the interviews took place within their business environments, with native speakers of the interviewees′ home countries present to ensure accuracy and authenticity. The findings highlight that immigrant entrepreneurs effectively leverage resources from both home and host country ecosystems, with human capital being the most essential asset. Additionally, the role of immigrants′ social networks is emphasized as a crucial mechanism for resource acquisition. This study further illustrates the positive contributions of immigrant enterprises to entrepreneurial ecosystems, revealing a co-evolutionary relationship whereby the businesses and ecosystems both mutually evolve. This co-evolution strengthens the resilience and sustainability of immigrant ventures, significantly enhancing their long-term success.