• The Journal of Asian Finance, Economics and Business
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• v.2 no.4
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• pp.21-29
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• 2015

Green technologies are essential tools to ensure sustainable development of the economy. In this regard, the article deals with analysis of the development tendency of green economy in Kazakhstan emphasizing commercialization of green technologies. In the first part of the study, authors investigated more than 50 official sources of information, including laws, concepts, programs, events and reviews of major international organizations. The study's methodological basis included Kazakhstan's legislative and regulatory Acts, state programs and Concept for transition to Green economy, and data about innovations in the field of green technologies. Six experts were interviewed in order to determine factors which interfere to commercialization of green technologies. Urgent problems and trends of development, challenges and obstacles to gain green economy have also been identified in the result of expert interviewing. The research shows that despite Kazakhstan's intentions to update and develop much of its infrastructure over the coming 20 years, inefficient use of resources is currently observed in every sector. It is necessary to encourage scientists and entrepreneurs to invent and commercialize new green technologies. That would be basis for successful implementation of transition from "brown" to green economy.

• International Area Studies Review
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• v.12 no.2
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• pp.57-78
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• 2008

India has been service-led economic growth during 50 years and turned to the so-called 'service economy' which means that the services sector takes over 50% in GDP since 2000 year. This study aims to find the factors in the existing hypotheses for service economy in India and tries the empirical analysis with the 1953~2003 annual time series data. As a result, the service economy in India has been accelerated by the hypotheses of demand bias, productivity bias and demand increasing of services as the intermediates simultaneously. This implies that the phenomenon of service economy will be continued and furthered in India.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.93-101
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• 2021

The study aims to test the model of Yang et al. (2017) for the overall assessment of the transportation sector in the sharing economy and add some new elements on the benefits of customer loyalty from some previous studies that were not mentioned in Yang's model. This study will take examples from the two big brands of car-sharing apps in the sharing economy in Vietnam - Uber, and Grab. This research focuses on customer loyalty in the sharing economy with Uber and Grab as the transport sector in Ho Chi Minh City. Based on the survey data of 380 customers in Vietnam, the research results show that two independent factors positively impact commitment and satisfaction: social benefits and economic benefits. Simultaneously, economic benefit has a positive effect on satisfaction while trust benefit has a negative effect on commitment. Finally, commitment has a positive impact on customer loyalty in the sharing economy. As a result, companies in the sharing economy can identify which are the key factors that strongly influence customer satisfaction, commitment, trust, and loyalty to help managers to devise the appropriate solutions for promoting the strengths or overcoming limitations to contribute to perfecting and improving the quality of the company's services.

• The Journal of Industrial Distribution & Business
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• v.8 no.6
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• pp.75-86
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• 2017

Purpose - The purpose of this study is to grasp the concept, characteristics and application status of sharing economy, and to derive a research model based on sharing economic service, and to analyze factors and influences of consumers' intention to reuse of sharing economy. Research design, data, and methodology - The questionnaires were created to examine variables for practical and theoretical implications. After pilot survey, conducted for 24 days from March 10th to April 2st in 2017, total numbers were 377. But 330 copies were used for the analysis with IBM SPSS Statistics 23.0 and IBM SPSS AMOS 23.0. The structural equation model was applied for this. Results - First, sharing economic services remain at an early stage, but it is meaningful to identify the revenue mechanism of the business model of the sharing economic platform. Second, in this study, it is meaningful that we systematized the theoretical structure by examining existing studies on the characteristics of the sharing economic service and consumer characteristics, and by examining empirically. Third, Satisfaction and Reliability are related to the characteristics of Sharing Economic Service (Security, Convenience, Discount, Sharing, Social Interaction), Consumer Characteristics (Personal Innovation, Word-of-Mouth) It is meaningful to broaden the understanding of the factors by verifying the mediating effect. Fourth, the sharing economy business is meaningful in that it is a new consumption trend that changes the meaning of consumption to consumers. Gradually, more and more people are recalling that purchasing something is not consumption, but sharing and borrowing is also consumption. In other words, through the sharing economy, consumers can experience more products and services, have more choices, and are expected to have a positive impact on economic growth by increasing the utilization of idle resources. Conclusions - Currently, the sharing economy is growing rapidly all over the world. Therefore, in the subsequent study, it is necessary to compare Korea and China's sharing economy and study the cultural and social characteristics of Korea and China. In particular, I think that steady research is necessary for more precise and specific direction on the influence of the shared economy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.19-25
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• 2011

A vehicle fuel economy is very important issue in view of fuel cost and environmental regulation. The technology development for the fuel economy improvement improved the engine, power train and many components of vehicle. So, the fuel economy is much improved, but up to now the measurement of it tests the given mode(LA-4, FTP-75, etc) within computer simulation program and engine dynamo. In this paper, to deduct the method of its improvement of real road, the test vehicle ran 213Km Youngdong real highway using 3 different algorithms in computer simulation. For this, I extracted the distance and altitude data from received GPS data and calculated the grade angle, road load and accomplished the velocity profiles according to algorithms in all 213Km distance. The vehicle runs in computer with AVL Cruise simulation program using velocity profile. I calculate the fuel economy using AVL Cruise simulation result and propose the Eco-driving method of them.

• Industry Promotion Research
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• v.8 no.3
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• pp.201-210
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• 2023

This study is based on data ecology theory and takes Chinese local governments' open public data as the research object. Data asset value assessment methods are compared from a new perspective of data business operations. The results show that the assessment model constructed using the hierarchical analysis method (AHP) can more objectively reflect the commercial value of government open data assets than the traditional cost, revenue and market methods, has the advantage of a comprehensive assessment of data value index, and better reflects the findings of a comprehensive index of regional data value. The data show that the local government data value assessment index is positively proportional to the region's digital economy development index, highlighting the driving effect on the digital economy. The results of the study provide a good help for the identification of local government data value rights. The research and practice of promoting the construction of data innovation and data business operation models, improving social well-being and promoting the rapid development of the digital economy to achieve data realisation provides a good reference.

• Korean Journal of Artificial Intelligence
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• v.8 no.2
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• pp.17-22
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• 2020

Purpose: After entering the 21st century, a new industrial revolution, i.e. industrial revolution 4.0, which is characterized by intelligence, automation and networking, has opened the curtain of the "industry 4.0" era. In recent years, "low-carbon economy" has been a development goal that has been paid close attention to and adhered to at home and abroad. As a major economic province, Shandong Province has not only brought about rapid economic growth, but also caused rapid environmental deterioration due to its high energy consumption, high dependence and high environmental pollution. In this environment, low-carbon economy has become an inevitable trend in the development of foreign trade in Shandong Province. Based on the current situation of foreign trade in Shandong Province and various existing problems, this paper explores the relationship between low-carbon economy and foreign trade in Shandong Province under this strategic background. Research design, data and methodology: By selecting the data from 2008 to 2017, using the carbon emission coefficient method to measure the CO2 emissions in the past decade, analyzing the impact of ecological factors on trade, selecting the most representative GDP and total imports for regression analysis, it is proved that they have a real impact on CO2 emissions. The total GDP is positively correlated with carbon emissions, while the total import is negatively correlated with carbon emissions. Results:This paper discusses the impact of low-carbon economy on foreign trade of Shandong Province from the perspective of foreign trade. Especially in today's "low-carbon economy" background. Conclusions:it is helpful for relevant departments to formulate relevant policies and promote the sustainable development of foreign trade in Shandong Province.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.90-99
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• 2023

This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

• Journal of Family Resource Management and Policy Review
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• v.18 no.3
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• pp.61-77
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• 2014

Purpose of this study is to draw policy implications for family resource management's strategies and leisure culture revitalization to Korean baby-boomers. This study review leisure activities characteristics of Korean baby-boomers and find their characteristics' impact on leisure economy. This research analyzed with raw data of "National Research Leisure Activities 2012" in different methods: analysis of frequency, multiple regression analysis, Correspondence Analysis, and etc. As a result, compared to all age groups in Korea, Korean baby-boomers current participation in leisure activities is low, but their expense on leisure is high. Their leisure activities are varied from different genders to their incomes. Especially, baby-boomers, who are on high income, participate in wasteful leisure activities and their consuming behavior will be the mainstream of Korean leisure economy, so economy, which is aiming for baby-boomers, will be invigorated when the economy is more concerned with use values toward time. Particularly, preparing for the retirement of baby-boomers, further researches based on integrated family policy should be considered plans and efforts on encouraging active volunteer works and participation in leisure culture revitalization of Korean baby-boomers.

• Journal of Distribution Science
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• v.16 no.7
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• pp.5-16
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• 2018

Purpose - This study posits that sustainable mobility of the sharing economy plays a key role to consider environment benefits. The purpose of this study is to investigate the bicycle-sharing economy as an emerging and alternative mode of transportation service and provide managerial and policy implications. The bicycle-sharing economy is still at an early stage of introduction as a transportation mode, while the governmental sector is promoting public bicycle-sharing to encourage bicycle as a substitute for private cars. Research design, data, and methodology - This study analyzed the current status of bicycle sharing programs through a survey that was distributed randomly to users and non-users across the country. Using factor analysis, satisfaction and loyalty for the existing users and intention to use and expected satisfaction for the potential users were examined in relation to utility factors. Results - The results show that economic utility affects satisfaction for user, while storage, mobility, and economic utility affects intention to use for potential users. The findings of this study indicate that in order to promote a bicycle-sharing scheme, it would be better to focus on the scheme's economic advantage to be truly effective. Conclusions - The findings of the study could be applicable to future directions of the sharing economy as a means to achieve the sustainable development of society.