scholarly journals The Influence of Consumer Affinity on Revisit Intention over time——A Case Study Chinese Tourists’ Perception of Thailand

2021 ◽  
Vol 251 ◽  
pp. 01012
Author(s):  
Yan-ping Shi
Keyword(s):  
Influence Factor ◽  
Positive Impact ◽  
Tourism Industry ◽  
Process Data ◽  
Revisit Intention ◽  
Relationship Model ◽  
Chinese Tourists ◽  
Cultural Affinity ◽  
Questionnaire Method

Revisiting tourists can bring great benefits to the tourism industry, which has attracted the attention of scholars, but few scholars have studied the consumer affinity as the influence factor of the revisit intention. This study constructs the relationship model between consumer affinity and revisit intention, and uses questionnaire method to collect data and apply multi-layer regression analysis to process data. The study found that cultural affinity and people affinity have a significant positive impact on short-term revisit intention, cultural affinity has a significant positive impact on mid-term revisit intention, landscape affinity and people affinity have a significant positive impact on long-term re-visiting intentions. The conclusion of this paper has some practical guiding significance for outbound tourism propaganda, and some practical guiding significance for Thailand, to improve the trip of Chinese tourists.

scholarly journals Past changes in natural and managed snow reliability of French Alps ski resorts from 1961 to 2018

2021 ◽  
Author(s):  
Lucas Berard-Chenu ◽  
Hugues François ◽  
Emmanuelle George ◽  
Samuel Morin
Keyword(s):  
Snow Cover ◽  
Positive Impact ◽  
Winter Season ◽  
Tourism Industry ◽  
Climatic Impact ◽  
Ski Resort ◽  
French Alps ◽  
Ski Resorts ◽  
Lower Elevation

Abstract. Snow reliability is a key climatic impact driver for the ski tourism industry, for which there is more literature regarding future projections than past observed impacts. This study provides an assessment of past changes in natural and managed snow cover reliability from 1961 to 2018 in the French Alps. In particular, we used snowmaking investment figures to infer the evolution of snowmaking coverage at the ski resort scale for 16 ski resorts in the French Alps. We find different benefits of snow management to reduce the variability and long term decrease in snow cover reliability because of the heterogeneity of the snowmaking deployment trajectories across ski resorts. The frequency of challenging conditions for ski resort operation over the 1991–2018 period increased in November and February to April compared to the reference period 1961–1990. In general, snowmaking had a positive impact on snow reliability, especially in December to January. While for the highest elevation ski resorts, snowmaking improved snow reliability for the core of the winter season, it did not counterbalance the decreasing trend in snow cover reliability for lower elevation ski resorts and in the spring.

Can inbound medical tourism boost Malaysia’s economic growth?

2016 ◽  
Vol 18 (4) ◽  
pp. 505-513 ◽  
Author(s):  
Chor Foon Tang ◽  
Ahmad Sofwan Nathan Abdullah
Keyword(s):  
Economic Growth ◽  
Medical Tourism ◽  
Positive Impact ◽  
Decomposition Analysis ◽  
Tourism Industry ◽  
Negative Externalities ◽  
Long Run ◽  
Variance Decomposition Analysis ◽  
The Impact

Medical tourism is an extensively researched sub-sector of the tourism industry because of its acknowledged role as an important catalyst for economic growth. Nevertheless, the impact of medical tourism on economic growth remains contentious due to associated negative externalities. This paper assesses medical tourism’s role in Malaysia’s long-term economic growth using a neoclassical growth model as its framework and a set of time series econometric approaches, namely cointegration, Granger causality and variance decomposition analysis as core instruments. The results indicate that medical tourism has significant positive impact on Malaysia’s economic growth in the long run.

Lost Glory

2018 ◽  
Author(s):  
Sumit K. Majumdar
Keyword(s):  
Positive Impact ◽  
Positive Outcomes ◽  
State Sector ◽  
Definitive Evidence ◽  
Industrial Landscape ◽  
Intellectual Origins ◽  
Automobile Manufacturer ◽  
High Output

Lost Glory: India’s Capitalism Story describes India’s industrialization experiences. Questions about long-term industry and productivity evolution, and their impact on economic growth, lie at the heart of discourses of capitalism. The book is based on detailed empirical analyses of India’s industrialization over a period of almost seven decades, and a case study of Maruti Suzuki, India’s largest automobile manufacturer. The deeply nuanced depiction of the historical political economy that has affected India’s industrialization is a unique feature. This history will enlighten everyone interested in India. The presentation takes readers on a definitive evidence-based survey of India’s industrial landscape. It includes a detailed historical description of the intellectual origins of India’s modern industrialization, anchored in a privileged view of economic policymaking. Grounded in historical and political analyses, the facts derived on India’s long-term economic performance are used to set the record straight. It is unsparing in its assessments where the evidence warrants such conclusions. Its findings will transform debate, and set the agenda for thoughtfully assessing the future course of India’s prosperity. The author overturns the assumptions that India’s much-vaunted private sector firms only engender positive outcomes, finding State-sector firms to have become efficient, and the molecular sector to be as effective overall, while also challenging the notion that privatization is necessary for progress. Conversely, it is found that competition policy innovations to have had positive impact. Practical suggestions are provided and three fundamental reforms, one administrative, one structural, and one behavioral, necessary to regenerate high output, are advocated.

How tourism industry agglomeration improves tourism economic efficiency?

2021 ◽  
pp. 135481662110091
Author(s):  
Zhoufei Li ◽  
Huiyue Liu
Keyword(s):  
Positive Impact ◽  
Regional Analysis ◽  
Tourism Industry ◽  
Scale Efficiency ◽  
Eastern Region ◽  
Location Quotient ◽  
Industry Agglomeration ◽  
Central Regions ◽  
National Perspective ◽  
The Impact

The agglomeration of the tourism industry has important effects on its efficiency. This article used panel data on the Chinese provincial tourism industry for the 2011–2016 period, applied the location quotient index and three-stage data envelopment analysis method to, respectively, measure the degree of agglomeration and efficiency, and explained the impact of agglomeration on tourism efficiency. The empirical results of this study indicate the following. (1) China’s tourism industry shows a trend towards agglomeration, revealing gradient differences where the highest degree of agglomeration is in the eastern region, followed by the western and central regions. (2) After eliminating random and environmental factors, the adjusted efficiencies are lower than the unadjusted efficiencies. The average overall tourism efficiency is higher in the eastern region than in the central and western regions. (3) From the national perspective, industrial agglomeration can significantly improve the overall efficiency (TE), pure technical efficiency (PTE), and scale efficiency of the tourism industry. (4) Based on regional analysis, the agglomeration of the eastern tourism industry can significantly enhance its TE and PTE. Agglomeration for the western area has a significant positive impact on PTE. There is no significant relationship between agglomeration and efficiency in the central region.

scholarly journals Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4597
Author(s):  
Zi-Xuan Yu ◽  
Meng-Shi Li ◽  
Yi-Peng Xu ◽  
Sheraz Aslam ◽  
Yuan-Kang Li
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Positive Impact ◽  
Environmental Aspects ◽  
Component Size ◽  
Cost Of Energy ◽  
Four Seasons ◽  
Demand Response Program ◽  
Real Time Pricing

The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most of the previous studies have used fixed or time-of-use (TOU) prices for the optimal sizing of MGs, this work introduces real-time pricing (RTP) for implementing a demand response (DR) program according to the national grid prices of Iran. In addition to the long-term planning of MG, the day-ahead operation of MG is also analyzed to get a better understanding of the DR program for daily electricity dispatch. For this purpose, four different days corresponding to the four seasons are selected for further analysis. In addition, various impacts of the proposed DR program on the MG planning results, including sizing and best configuration, net present cost (NPC) and cost of energy (COE), and emission generation by the utility grid, are investigated. The optimization results show that the implementation of the DR program has a positive impact on the technical, economic, and environmental aspects of MG. The NPC and COE are reduced by about USD 3700 and USD 0.0025/kWh, respectively. The component size is also reduced, resulting in a reduction in the initial cost. Carbon emissions are also reduced by 185 kg/year.

scholarly journals Driving Mechanism of Farmers’ Utilization Behaviors of Straw Resources—An Empirical Study in Jilin Province, the Main Grain Producing Region in the Northeast Part of China

2021 ◽  
Vol 13 (5) ◽  
pp. 2506
Author(s):  
Hongpeng Guo ◽  
Shuang Xu ◽  
Xiaotong Wang ◽  
Wen Shu ◽  
Jia Chen ◽  
...  
Keyword(s):  
Structural Equation ◽  
Positive Impact ◽  
Agricultural Waste ◽  
Equation Model ◽  
Subjective Norms ◽  
Jilin Province ◽  
Policy Implications ◽  
Driving Mechanism ◽  
Perceived Behavior Control

In recent years, the unsustainable behaviors of straw utilization have led to waste straw being one of the sources of agricultural non-point source pollution. Studying the resource utilization of crop straw is conducive to expediate the development of ecological and green agriculture. More importantly, it has long-term significance for the recycling of agricultural waste, improving the quality of rural life, and the employment of farmers. Based on the theory of planned behavior (TPB), taking the representative survey questionnaire of farmers in Jilin Province, China as the sample, the structural equation model (SEM) was constructed to study the main factors that drive the utilization behaviors of straw resources of farmers and to explore the driving mechanism of the farmers behaviors in Jilin Province. The results show that the behavioral attitude and subjective norms of farmers in Jilin Province not only indirectly affect their actual behaviors through behavioral willingness, but also has significant direct effects on their behaviors. The most critical factors that affect the willingness of farmers to utilize the straw resources in Jilin Province are subjective norms and moral responsibilities. The subjective norms of farmers have a direct and significant positive impact on their willingness and behaviors. Behavioral attitude and perceived behavior control have a significant positive impact on their willingness. The behavioral willingness has a significant positive impact on their actual behaviors. This study provides guidance for the utilization of straw resources policy implications.

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