• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.241-245
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• 2022

The main purpose of the study is to determine the main factors influencing the economic environment of the region and its financial and economic security. Ukraine aspires to become a full member of the European Union, but the events of 2022 have changed everything. Full-scale military operations on the territory of Ukraine significantly affect its socio-economic situation Today, the issue of studying the negative impact of military operations on the economic environment is very relevant. Based on the results of the study, we have identified the main negative factors of the military impact on the economic environment of the region and its financial and economic security.

• 유통과학연구
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• 제15권12호
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• pp.41-51
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• 2017

Purpose - This study proposes the impact of the US and Korean economic policy uncertainty on macroeconomy, and its effect on Korea. The economic policy uncertainty index of the US and Korea is used to represent the economic policy uncertainty on Korean economy. Research design, data, and methodology - In this paper, we collect the eight variables to find out the interrelationship among the US and Korean economic policy uncertainty index of the US and macroeconomic indicators during 1990 to 2016, and use Vector Error Correction Model. Result - The distribution industry stock index in Korea is influenced by the economic policy uncertainty index of the US rather than of Korea. All variables are related negatively to the economic policy uncertainty index of the US and Korea from Vector Error Correction Model. This study shows that the economic policy uncertainty index of the US and Korea has the dynamic relationships on the Korean economy. Conclusions - A higher economic policy uncertainty shows a greater economy recession of a country. Finally, the economic policy uncertainty of the Korea has an intensive impact on Korea economy. Particularly, the economic policy uncertainty of the US has a strong impact on distribution industry stock market in Korea.

• 대한가정학회지
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• 제47권1호
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• pp.25-43
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• 2009

The purpose of this study was to find how economic structures differ among four different household groups('enough', 'so so', 'a little difficult', 'very difficult') classified by subjective evaluation on their economic conditions. The data were drawn from 2004 Korean Labor and Income Panel Study conducted by Korea Labor Institute, and $X^2$-test and F-test were utilized by SPSS for Windows 10.0. The major findings were as following. First, the economic levels of household groups of 'enough' and 'so so' showed to be higher than the average. This result implies that households tend to evaluate by themselves their economic conditions comparing to the others. Second, the deviations of average economic levels among four different household groups were relatively bigger in household economic elements of liquid asset, monthly savings and insurance than the others, and relatively smaller in household economic elements of total expenditure, especially expenditures in food at home, education, medical, communication than the others. Third, the households of 'a little difficult' and 'very difficult' showed undesirable economic structures resulting from lack of savings and insurance for their future.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.191-200
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• 2020

This research paper examines the causal relationship between India's economic growth and sectoral contribution to Gross Domestic Product (GDP) and vice versa, in the short-run and long-run, over a 10 years time period. Johansen's method of cointegration is used to study the cointegration between the sectoral contributions to Indian GDP vis-à-vis India's economic growth. Further, the route of interconnection between economic growth and sectoral contribution is tested by using Vector Auto Regression (VAR) model. Special attention was given for investigating impulse responses of economic growth depending on the innovations in sectoral contribution using time-series data from 1960 to 2015. This paper highlighted a dynamic co-relationship among industrial sector contribution and agricultural sector contribution and economic development. In the long run, one percent change in industrial sector contribution causes an increase of 3.42 percent in the economic growth and an increase of 1.12 percent in the primary sector contribution, while in the short run industrial and service sector contributions showed significant impact on economic development and agriculture sector. The changing composition of sector contribution is going to be an important activity for the policymakers to monitor and control where the technology and integration of sectors play a significant role in economic development.

• 한국인공지능학회지
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• 제7권2호
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• pp.9-12
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• 2019

With the Chinese government's attention to the artificial intelligence industry, the Chinese government has invested a lot in it recently. Of course, the importance of artificial intelligence industry for China's economic development is increasingly significant. The advent of artificial intelligence boom has also triggered a large number of scientists to analyze the impact of artificial intelligence on economic growth. Therefore, this paper use 31 China's cross-province panel data to study the effect of artificial intelligence on economic growth. Via empirical analyses under a series of econometric methods such as the province and year fixed effect model, the empirical result shows that artificial intelligence has a positive and significant effect on economic growth. Namely, the artificial intelligence is a new engine for economic growth. Meanwhile, the empirical results also indicate that the investment and consumption has a significant and positive effect on economic growth. Oppositely, the inflation and government purchase have a significant negative effect on economic growth. These findings in this paper also provide some important evidences for policy-makers to perform precise behaviors so as to promote the economic growth. Moreover, these finding enriches existing literature on artificial intelligence and economic growth.

• 한국의류산업학회지
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• 제12권5호
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• pp.683-693
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• 2010

The aim of the present study is to investigate the complex shopping behavior of clothing consumer groups classified by the level of economic shopping orientation. Using a self-administered questionnaire, 260 respondents rated their economic shopping orientation, hedonic shopping orientation, convenient shopping orientation, store selection criteria, clothing interest, gender, age, and other demographic characteristics. A total of 248 questionnaires were analyzed. The results are as follows. First, economic consumers showed more hedonic and convenient shopping orientation than uneconomic consumers. In addition, economic consumers valued various store selection criteria. These implied that economic consumers show more complex clothing shopping behavior than uneconomic consumers. Second, as the result of comparing complex shopping behavior of economic consumers and uneconomic consumers by their characteristics such as clothing interest, gender, and age, economic consumers were found to show more complex shopping behavior than uneconomic consumers regardless of the consumer characteristics. Among them, economic consumers with higher clothing interest or in adult age particularly showed more complex shopping behavior. Furthermore, economic consumers with different consumer characteristics showed quite different aspects in their complex shopping behavior. Third, uneconomic consumers showed relatively simple, impulsive, and price-apathetic shopping behavior.

• 토지주택연구
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• 제4권1호
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• pp.23-31
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• 2013

The regional economic crises in the late 1990s and the global economic crisis in the late 2000s had reduced the differences in housing policies among the major Asian economies. This paper attempts to explain and compare housing welfare policy shifts between subsidizing home owning and subsidized renting from the perspectives of the economic and social roles of housing, the lock-in effect of policy processes, and the welfare provision strategy of the East Asian economies. It argues that the impact of economic crises on housing welfare policy in East Asia depended on the duration and the intensity of the crisis and the length and severity of the subsequent economic depression. Another important factor was the role of housing in the economic and social development, especially whether housing market development was considered as an engine of economic growth or revival, and whether the tools of housing policy caused the economic crisis. The loss of impetus for home ownership drive and the new emphasis on rental subsidy provision are new policy trends. Nonetheless, the economic revival since mid-2009 has caused the re-introduction of home ownership subsidies for quenching the housing affordability problems and enhancing home ownership making use of the strong economic conditions.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.161-173
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• 2020

This study examines the nonlinear relationship between financial development and economic growth in Pakistan using the threshold regression model for the period 1980-2017. We also employed quantile regression with 0.25, 0.50, and 0.75 quantiles of conditional distribution. The quantile regression is based on minimizing of sum of squared residuals. The result indicates that economic growth responds positively to financial development when the level of financial development surpasses the threshold value of 0.151. However, when financial development lies below the threshold value (that is, 0.151), its impact on economic growth is negative. Thus, when financial development of Pakistan surpasses the threshold level, it contributes more towards economic growth since greater level of financial development contributes more to boosts economic growth. This finding reveals that economic growth reacts differently to financial development, and the relationship between financial development and economic growth is U-shaped in Pakistan. Among the other variables, physical capital, labor force, and government expenditure exert a positive effect on economic growth. Furthermore, inflation rate and trade openness have an insignificant impact on economic growth. The results of quantile regression also confirm the non-linear relationship between financial development and economic growth in Pakistan. The finding of this study suggests revamping of financial sector policies in Pakistan.

• Journal of Sport and Applied Science
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• 제2권2호
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• pp.1-10
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• 2018

Prior literature has posited that the sport industry has been effective method to drive the economic growth. Given the rationale, this study sets China as a research object with a quarterly data from the first quarter of 2003 to the fourth quarter of 2017 to explore how the sport industry affects economic growth. This study employed Johansen cointegration test and dynamic ordinary least squares as methods for an empirical analysis. The input of sport industry, the labor input, the capital input, and the economic growth are used as research variables. The results show that there is a long-run relationship among them. Johansen cointegration test's estimation indicated that 1% increase in the input of sport industry will lead to 0.064% increase in economic growth. Dynamic ordinary least squares' estimation showed that whenever in the one lead, in the one lag and in the present period, the input of sport industry always poses a positive effect on economic growth. Labor input also has a positive effect on economic growth. The capital input has a negative effect on economic growth. Finally, even though the input of sport industry has a positive effect on economic growth, its impact on economic growth is relative weak.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.271-282
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• 2021

In recent years, a significant number of empirical studies have examined the relationship between export and economic growth in India. However, this study analyses the relationship between exports and economic growth through the time series model. The main aim of this study is to investigate the causal relationship between exports and economic growth in India. The VAR model was used for the period 1961 to 2015 after verifying the stationarity of the variables through using Augmented Dickey-Fuller and Phillip-Perron tests. The Indian export sector has been found to have a significant and positive impact on economic growth and other long-term economic activities. The study also employed the Granger causality test to check the direction of causality and found that RXGS, RGDP, RPFC, and RGFC had a unidirectional relationship and RXGS and RMGS had a bidirectional relationship in long run. Also, the findings of this study suggest that a steady-state between exports and economic growth can be achieved in India over a long period. The overall outcome of this study provides a testimony of the fact that the export sector plays a vital role in economic growth in India and also leads to the long-term growth of other economic activities.