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PurposeTourism is an essential industry in Indonesia, and understanding its inter-sectoral and inter-regional connections is critical for policy development. This study examines the economic impact of regional tourism in Indonesia and the connections between different tourism-related regions and industries.Design/methodology/approachThis study uses a non-survey method to estimate the inter-regional input-output table (IRIOT) in 2019, backward and forward linkage to identify the role of tourism in the economy, and the structural path analysis (SPA) to identify the inter-sectoral and inter-regional flow of tourism effect. The benchmark IRIOT 2016 published by Badan Pusat Statistik (BPS) serves as the primary data source.FindingsThe findings indicate that tourism has a relatively high impact on the overall national economy and plays an essential role in nine provinces. However, this study uses four provinces to represent Indonesian tourism: Jakarta, Jawa Timur, Bali, and Kepulauan Riau. The SPA result captures that Kepulauan Riau Province has the highest tourism multiplier effect and Jawa Timur has the highest coverage value. Moreover, the manufacturing sector receives the most benefit from the tourism effect, followed by trade, construction, agriculture, transportation, and electricity-gas. From a spatial perspective, tourism connections are not solely based on geographical proximity. Instead, they are established through an intricate supply chain network of manufactured goods. This emphasizes the significance of considering supply chain dynamics when investigating inter-regional relationships in the tourism sector.Originality/valueThis research contributes to the literature by estimating the IRIOT in 2019, disaggregating tourism activities from related economic sectors, constructing tourism-extended IRIOT, and identifying the critical path of tourism effect in numerous provinces with different economic structures. This novel approach offers valuable insights into the full spectrum of tourism’s economic impact, which has not been previously explored in this depth. This study is useful for policymaking, investment insight, and disaster mitigation.
PurposeTourism is an essential industry in Indonesia, and understanding its inter-sectoral and inter-regional connections is critical for policy development. This study examines the economic impact of regional tourism in Indonesia and the connections between different tourism-related regions and industries.Design/methodology/approachThis study uses a non-survey method to estimate the inter-regional input-output table (IRIOT) in 2019, backward and forward linkage to identify the role of tourism in the economy, and the structural path analysis (SPA) to identify the inter-sectoral and inter-regional flow of tourism effect. The benchmark IRIOT 2016 published by Badan Pusat Statistik (BPS) serves as the primary data source.FindingsThe findings indicate that tourism has a relatively high impact on the overall national economy and plays an essential role in nine provinces. However, this study uses four provinces to represent Indonesian tourism: Jakarta, Jawa Timur, Bali, and Kepulauan Riau. The SPA result captures that Kepulauan Riau Province has the highest tourism multiplier effect and Jawa Timur has the highest coverage value. Moreover, the manufacturing sector receives the most benefit from the tourism effect, followed by trade, construction, agriculture, transportation, and electricity-gas. From a spatial perspective, tourism connections are not solely based on geographical proximity. Instead, they are established through an intricate supply chain network of manufactured goods. This emphasizes the significance of considering supply chain dynamics when investigating inter-regional relationships in the tourism sector.Originality/valueThis research contributes to the literature by estimating the IRIOT in 2019, disaggregating tourism activities from related economic sectors, constructing tourism-extended IRIOT, and identifying the critical path of tourism effect in numerous provinces with different economic structures. This novel approach offers valuable insights into the full spectrum of tourism’s economic impact, which has not been previously explored in this depth. This study is useful for policymaking, investment insight, and disaster mitigation.
In order to optimize the Chinese medical and health system and improve people’s health level, the SFA Malmquist model, the spatial econometric model, and the standard deviation ellipse method were used to measure the efficiency of medical and health services in China’s 31 provinces between 2010 and 2020. Study results indicated that the average efficiency value of the 31 provinces generally exceeded 0.8. Specifically, the average efficiency values in the eastern and central regions increased from 0.852 to 0.875 and from 0.858 to 0.88, respectively. In the western and northeastern regions, these values rose from 0.804 to 0.835 and from 0.827 to 0.854, respectively. From the perspective of spatial distribution, there were high-high and low-low clusters in most provinces with significant spatial dependence among them. This analysis reveals that medical and health services efficiency in China demonstrates a spatial pattern extending from northeast to southwest.
Introduction: Health tourism, defined as travels aimed to improve the physical and mental health of individuals, is growing day by day in parallel with developing technology and transportation. Factors influencing the preference of Türkiye in health tourism include cost, tourism opportunities, and cultural characteristics, as well as health facilities, staff, doctors, and the quality level of service. Due to the focus of human health, the service delivery which is very sensitive should be carried out by qualified workforce. With their role in protecting patients from unnecessary tests and treatments and facilitating effective participation in clinical decision-making processes, family physicians are also involved in the health tourism process and advocate. It is aimed to improve the service provision both qualitatively and quantitatively to meet the predicted increase in the health tourism sector in our country. In line with the realization of these goals, education and training activities offered by higher education institutions come into prominence. It’s aimed in our study to quantitatively investigate the adequacy of education in the field of health tourism in our country and to assess it in light of current data. Methods: The data of the cross-sectional and descriptive study were collected during the 2023-2024 academic years. Education programs and the number of students in the field of health tourism between 2018-2023 at 18 institutions under the Council of Higher Education (YOK) and The Measuring, Selection and Placement Center (OSYM) were examined. Obtained data were brought together with health tourism data published by the Turkish Statistical Institute (TUIK), the International Health Services Inc. (USHAS), and the Association of Turkish Travel Agencies (TURSAB). Results: In Türkiye, for the first time in 2014, associate degree education started to be provided in the " Health Tourism Business" department within the Vocational School. This department, which is available in 9 universities today, has the highest percentage among associate degree preferences. Master's degree program level trainings in health tourism continue in 9 universities across 3 different departments: "Health Tourism", " Health Tourism Business " and "Health Tourism Management". Doctoral level education is provided in 1 university in the department of "Health Tourism". It is observed that the number of students and graduates enrolled in education programs in the field of health tourism is increasing every year. On the other hand, there is still no undergraduate program in this field in Türkiye. According to the data published by TUIK and USHAS, the number of visitors coming to our country for health tourism and the value of income is increasing every year. On the contrary, the number of students and graduates has not increased at the same rate in recent years. Conclusions: The number of programs and quotas in the field of health tourism opened in universities is gradually increasing. However, when evaluated together with the increase in the number of visitors coming to our country for health tourism over the years, it has been revealed that the number of qualified staff trained to meet the increasing need is still not at the desired level.
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