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This paper aims to identify the factors that are constraining technological innovation to support the development of coalbed methane in China.

The analysis applies ideas relating to national and sector systems of innovation to explain why China’s strategies to support research and technological innovation have failed to stimulate the desired progress in coalbed methane production. It also provides a counter-example of the USA that implemented a number of measures in the 1970s that proved very effective.

The deficiencies of China’s research and development strategies in support of coalbed methane development reflect the national and sectoral systems of innovation. They are exacerbated by the structure of the national oil and gas industry. Key constraints include the excessively top-down management of the national R&D agenda, insufficient support for basic research, limited collaboration networks between companies, research institutes and universities and weak mechanisms for diffusion of knowledge. The success of the USA was based on entirely different systems for innovation and in quite a different industrial setting.

The originality of this analysis lies in placing the challenges facing research and innovation for China’s coalbed methane development in the context of the national and sectoral systems for innovation and comparing with the approach and success of the USA.

The aim of this paper is to analyze the interrelationship between film-induced tourism and visits to theme parks by tourists and examine the most viewed movies worldwide (2010–2022) which are related with theme parks and their attractions.

The methodology used in this study is a set of qualitative and quantitative indicators for measuring the most visited theme parks worldwide and the most viewed movies that have allowed to answer the research questions.

This research provides a new contribution to tourism and entertainment industries. Results have shown that film-induced tourism can be the perfect marketing tool to attract more tourists to theme parks through movies and their real or fictional characters represented in films such as Marvel, Minions, Avatar, Harry Potter and Disney, amongst many others. These famous characters are part of theme park’s rides to attract tourists to visit film theme parks These rides allow users to travel in a fantasy experience and interact with film characters of cartoons or fictions. There is a high correlation between film-induced tourism and theme parks’ attractions. Film-induced tourism provides great benefits to the society, theme parks, cinemas and tourist destinations. Indeed, movies help to increase the number of visitors to theme parks. In 2019, 215 million people visited the top 20 theme parks worldwide analyzed in this study, this figure is quite lucrative to entertainment and tourism sectors, local and regional economies where these theme parks are localized.

This study presents the importance of theme parks at tourist destinations because theme parks are an extension of movies, thus is, the end of the physical perfect experience at theme parks which began in a movie seat or on your TV/videogame/PC screens.

本文的主要目的是分析电影引起的旅游和游客参观主题公园之间的相互关系, 并研究与主题公园及其景点有关的全球最受欢迎的电影（2010-2022年）。

本研究使用的方法是一套定性和定量的指标来衡量全球访问量最大的主题公园和观看次数最多的电影, 使我们能够回答本研究中提出的问题。

这项研究为旅游和娱乐业提供了新的贡献, 结果表明, 电影引起的旅游可以成为完美的营销工具, 通过电影及其影片吸引更多的游客到主题公园。通过电影和他们在电影中所代表的真实或虚构的人物, 如漫威、小人、阿凡达、哈利波特、迪斯尼等, 主题公园。这些著名人物是主题公园景点的一部分, 以吸引游客参观与电影有关的景点。这些景点让游客有一个幻想的体验, 并与卡通人物互动。电影引起的旅游和主题公园景点之间存在着高度的相关性。我们必须认识到, 电影引发的旅游为社会、主题公园、电影院和旅游目的地提供了巨大的利益。事实上, 电影有助于增加主题公园的游客数量。2019年, 有2.15亿人参观了本研究中分析的世界前20大主题公园, 这个数字对于娱乐和旅游部门、这些主题公园所在的地方和区域经济来说是相当有利可图的。

本研究揭示了主题公园在旅游目的地的重要性, 因为这些旅游景点是电影的延伸, 也就是说, 主题公园及其基于电影和动画的景点是游客在主题公园生活体验的最后一部分, 而这种体验是从电影院的座位上、电视、视频游戏或电脑屏幕前开始的。

El principal desafío de este artículo es analizar la interrelación entre el turismo inducido por las películas y las visitas a los parques temáticos por parte de los visitantes, y examinar las películas más vistas en todo el mundo (2010-2022) relacionadas con los parques temáticos y sus atracciones.

La metodología utilizada en este estudio es un conjunto de indicadores cualitativos y cuantitativos para medir los parques temáticos más visitados a nivel mundial y las películas más vistas que nos han permitido responder a las preguntas planteadas en esta investigación.

Esta investigación proporciona una nueva contribución a las industrias del turismo y el entretenimiento. Los resultados han demostrado que el turismo inducido por el cine puede ser la herramienta de marketing perfecta para atraer más visitantes a los parques temáticos a través de películas y sus personajes reales o ficticios representados en películas como Marvel, Minions, Avatar, Harry Potter, Disney, entre muchos otros. Estos personajes famosos son parte de las atracciones de los parques temáticos para atraer a los visitantes a visitar las atracciones relacionadas con las películas. Estas atracciones permiten a los visitantes tener una experiencia de fantasía e interactuar con personajes de películas de dibujos animados o ficción. Existe una alta correlación entre el turismo inducido por el cine y las atracciones de los parques temáticos. Debemos reconocer que el turismo inducido por el cine ofrece grandes beneficios a la sociedad, parques temáticos, cines y destinos turísticos. De hecho, las películas ayudan a aumentar el número de visitantes a los parques temáticos. En 2019, 215 millones de personas visitaron los 20 parques temáticos más importantes del mundo analizados en este estudio, esta cifra es bastante lucrativa para los sectores de entretenimiento y turismo, y la economía local y regional donde se encuentran estos parques temáticos.

Este estudio revela la importancia de los parques temáticos en los destinos turísticos, dado que estas atracciones turísticas son una extensión de las películas, es decir, los parques temáticos y sus atracciones basadas en películas y animaciones son la parte final de una experiencia vivida por los visitantes en dichos parques y que comenzó en un asiento de cine, frente a su TV, un videojuego, o pantalla de ordenador.

This study aims to investigate the response of green investments of emerging countries to own-market uncertainty, oil-market uncertainty and COVID-19 effect/geo-political risks (GPRs), using the tail risks of corresponding markets as measures of uncertainty.

This study employs Westerlund and Narayan (2015) (WN)-type distributed lag model that simultaneously accounts for persistence, endogeneity and conditional heteroscedasticity, within a single model framework. The tail risks are obtained using conditional standard deviation of the residuals from an asymmetric autoregressive moving average – ARMA(1,1) – generalized autoregressive conditional heteroscedasticity – GARCH(1,1) model framework with Gaussian innovation. For out-of-sample forecast evaluation, the study employs root mean square error (RMSE), and Clark and West (2007) (CW) test for pairwise comparison of nested models, under three forecast horizons; providing statistical justification for incorporating oil tail risks and COVID-19 effects or GPRs in the predictive model.

Green returns responds significantly to own-market uncertainty (mostly positively), oil-market uncertainty (mostly positively) as well as the COVID-19 effect (mostly negatively), with some evidence of hedging potential against uncertainties that are external to the green investments market. Also, incorporating external uncertainties improves the in-sample predictability and out-of-sample forecasts, and yields some economic gains.

This study contributes originally to the green market-uncertainty literature in four ways. First, it generates daily tail risks (a more realistic measure of uncertainty) for emerging countries’ green returns and global oil prices. Second, it employs WN-type distributed lag model that is well suited to account for conditional heteroscedasticity, endogeneity and persistence effects; which characterizes financial series. Third, it presents both in-sample predictability and out-of-sample forecast performances. Fourth, it provides the economic gains of incorporating own-market, oil-market and COVID-19 uncertainty.

The objective of this research is to examine the performance of weather routing service in the North Pacific Ocean based on a global container shipping company.

The data comprise two passages: one that departs from the port of Taipei to the port of Los Angeles (TPE-LAX) and another that departs from the port of Tacoma to the port of Kaohsiung (TCM-KSG). A weather routing service was utilized to compare the differences of the distance, sailing time and fuel consumed among different voyages.

Results indicated that the average speed of vessel in winter is faster than in summer. The vessels consumed much more fuel in the winter than they did in the summer. In terms of the distance of the passage, the results show that the ships' sailing distance across the North Pacific Ocean in the summer was shorter than it was in the winter.

Due to the difficultly of practical data collection, relatively few sailing records were employed in this study. It is suggested that additional sailing records should be collected, which adopt weather routing recommendations, to more comprehensively analyze sailing performance in future research.

The study's findings offer valuable guidance to different stakeholders in the maritime industry (e.g. seafarers, marine hull and machinery companies, Protection and Indemnity Club (P&I), ocean container carriers and freight forwarders) to clarify their responsibilities in order to achieve desired sailing outcomes.

To the best of the authors' knowledge, the current study is the first research to utilize practical sailing data to provide objective evidence of sailing performance based on a weather routing service, which can assist various stakeholders to make optimal decisions.

The purposes of this paper are 1) to develop model of long term financial health for logistics companies in Thailand 2) to identify factors that determine long term financial stability. Many researchers currently provide factors affecting financial health. Most factors refer to financial ratios, not many non-financial ratios such as age and size have been mentioned. This paper considers both financial and non-financial ratios that affect financial performance of Logistics companies in Thailand. The study has covered some interesting non-financial ratios such as Nationality of Shareholders, type of network in Logistics Company, growth rate (consisted of sales growth rate/profit growth rate/asset growth rate / Liability growth rate) and variable of growth rates. The target group is 110 logistics companies in Thailand enlisted from Department of International Trade Promotion Ministry of Commerce, Royal Thai Government. The group is divided into three categories according to financial health of company; Healthy financial, Unhealthy (Distress) and normal situation. The Multidiscriminant Analysis (MDA) is applied to analyze the differentiations among the three categories. Significant variables from MDA will be used as the independent variables for Multimonial Logistic Regression Analysis (MLRA) to identify factors that determine long terms financial stability. This paper find CF/D, RE/TA, BE/TL, Size, Age, Type of network, Nationality of Shareholders and Number of Shareholders are significant factors determine long term financial stability of Logistics company in Thailand.