• Title/Summary/Keyword: GDP contribution

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The Impact of Leadership Capability, Job Stress and Work-Life Balance on Job Satisfaction in Vietnamese Logistics Industry: An Analysis Based on the Second-Order Constructs

  • PHAM, Ngoc Thi Kim
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.1
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    • pp.19-29
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    • 2023
  • Logistics industry is being an important industry in Vietnam with the contribution from 8-10% of GDP recently. This industry employs about 15 millions people. Increasing the employees' job satisfaction is become one of the most concerns of managers in logistics companies to strengthen the employee engagement and improve their business performance. The aim of this study is to investigate how employees' perceptions of job satisfaction are influenced by factors such as job stress, leadership capability, work-life balance, and demographics. 426 workers in the logistics sector in Vietnam were surveyed online. The acquired data was analyzed using a structural equation model. In total 16 hypotheses were established, 13 of which were deemed to be significant. The results demonstrate how the literature-informed second-order constructs can potentially explain the overall job stress, leadership capability, and work-life balance of employees in the Vietnamese logistics industry. These variables account for 54.8% of job satisfaction. This study makes a theoretical contribution to the extant literature by showing how researching second-order constructs can improve the theory's capacity to predict employees' job satisfaction. The paper concludes with a set of recommendations for the management of logistics firms in Vietnam.

A Review of Studies on the Influence of SME's Technological Innovation on National and Regional Economies (중소기업 기술혁신이 국가 및 지역경제에 미치는 영향에 대한 선행연구 고찰)

  • Jeon, Bong-Kyung
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.1
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    • pp.84-95
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    • 2019
  • The competence of SME's technological innovation is deemed as one of the crucial factors in national and regional economies. Yet, as seen in previous studies, there is a dearth of studies on this subject, and policy and academic circles had been inclined to relatively underestimate the contribution of the SMEs to economies and industries (such as, job creation and GDP contribution). Generally, there is a bias that the innovative activity of the large-sized firm is likely to perform better than that of the small-sized company. According to several case studies, however, SME possesses a more appropriate form for innovative activities, and significantly contributes to creating advanced industrial agglomeration. Hence, this study analyses the contribution of the SME innovation to the national and regional economy along with analysing the extant literature. In doing so, we can reason out theoretical and policy implications.

The Impacts of Chinese Seaborne Trade Volume on The World Economy (중국 품목별 수출입이 세계 경제에 미치는 영향 실증분석)

  • Ahn, Young-Gyun;Lee, Min-Kyu
    • Korea Trade Review
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    • v.42 no.6
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    • pp.111-129
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    • 2017
  • According to the World Bank statistics, China's contribution to global economic growth during the year of 2013-2016 was estimated at 31.6 percent. This figure is even larger than 29.0 percent, the contribution by summing each contribution of the United States, EU and Japan. The Chinese commodity trade accounts for up to 11.5 percent of world trade volume. Thus, we can consider that the Chinese economy has a strong influence on the global economy. The primary purpose of this study is to analyze the contribution level of Chinese seaborne trade volume on world economy. First, this study conducted a time-lag analysis using Moran test, so we can find that China's level of contribution to global economic growth varies from time to time. The contribution of the first phase (1999-2007) was nearly three times higher than the contributions from the second phase (2008-2016), suggesting that the overall contraction of the global trade volume starting from the subprime mortgage crisis in 2008 has continued until recently and recovery has not even occurred. Second, using the econometrics model, this study conducted an regression analysis of the impact of Chinese imports and exports in chemicals, grain, steel, crude oil, and container on global economic growth. Fixed effects model with time series data has been applied to examine the effect of Chinese seaborne trade volume on global economic growth. According to the empirical analysis of this study, China's exports of steel products, exports of container, imports of containers, imports of crude oil and imports of grain have significant contributions to global economic growth. Estimates of China's exports of steel products, exports of container, imports of containers, imports of crude oil and imports of grain are 1.023, 1.020, 1.019, 1.007 and 1.006, respectively. For example, the estimated value 1.023 of China's exports of steel products means that the growth rate can be 1.023 times higher than the current world GDP growth rate if Chinese seaborne trade volume of exports of steel products increased by one unit (one million tons). This study concludes that the expansion of China's imports and exports should be realized first to increase the global GDP growth rate. The expansion of Chinese trade can lead to a simultaneous stimulus of production and consumption in China, which can even lead to global economic growth ultimately. Thus, depending on how much China's trade will be broaden in the future, the width of global economic growth can be determined.

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A Study on the Changing Factors of the Electricity Consuming Pattern in accordance with the change in the Economic Growth Structure (경제성장 구조변화에 따른 전력소비 변화요인 연구)

  • Rhee, Sang-Chul
    • Proceedings of the KIEE Conference
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    • 2005.11b
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    • pp.151-155
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    • 2005
  • An electricity consumption is closely related to the economic growth structure. The change of economic growth structure affects the pattern of electricity consumption widely and severely. This paper gives that the primary changing factors of electricity growth are economic growth, change of industry structure(the change of electricity consumption ratio in case of residential sector), and the effect of electricity saying. It gives a model to analyze the influence of GDP to the change of electricity consumption patterns by sector through the period of pre and post 1998(IMF, financial crisis) to observe the contribution of each factor to the growth of electricity demand. It is anticipated that this study shows the feasible scheme of economic structure to become the developed country.

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Factors Affecting Real Estate Prices During the COVID-19 Pandemic: An Empirical Study in Vietnam

  • HA, Nguyen Ho Phi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.159-164
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    • 2021
  • The COVID-19 pandemic has widely spread and has become a global problem. The pandemic has had a negative impact on most countries and on the global economic growth. In the real estate and housing market, the impact of the pandemic has directly disrupted the supply of raw materials and human resources. In case of Vietnam, the real estate and housing markets are increasingly becoming important contributors to Vietnam's economy, with a combined contribution of approximately 6% to the GDP of the country. Also, the pandemic has negatively affected the real estate in Vietnam. Using a sample data of 220 home, apartment and real estate buyers in the period of April 2020 to Apr 2021 in Nam Tu Liem and Cau Giay districts, Hanoi, the research results demonstrate that the area of the house, the number of beds, and the location of the land show a positive influence on the real estate price. Meanwhile, the distance from the land to the center of the district has a negative effect on the price, which means that the further away a land is from the center, lower is its price.

Franchising Practices in Selected Markets around the World: A Review

  • ADEIZA, Adams
    • The Korean Journal of Franchise Management
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    • v.10 no.2
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    • pp.7-18
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    • 2019
  • Purpose - This paper attempts to provide an understanding of practice of franchising in eight countries - USA, UK, Australia, Brazil, China, Malaysia, South Africa and Nigeria. The bases of the review are: number of systems and outlets, employment generation, annual turnover, GDP contribution, legal and regulatory frameworks and country-specific franchise business practice nuances. Research design, data and methodology - the paper is descriptive, highlighting elements of the business practice that distinguish one country from another. Documentary data - mainly industry publications supplemented by empirical literature - was used for the review. Result - Although there are commonalities in the technical design and implementation of franchise business practice - especially the business model type - differences exist in terms of legal and regulatory frameworks guiding the industry across the eight countries studied. Conclusion - There are no two countries that have the same franchise practices. Franchise markets in the developed, and to some extent, the emerging economies have saturated. Franchise markets in African countries are at infant stage and thus, these countries are strategizing to attract foreign brands into their domains.

APPROACHING A LINEAR PROGRAMMING MODEL FOR PRODUCTION PLANNING OF A READY-MADE GARMENTS INDUSTRY

  • SAYMA SURAIYA;MD. BABUL HASAN
    • Journal of applied mathematics & informatics
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    • v.41 no.1
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    • pp.215-228
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    • 2023
  • The ready-made garments (RMG) have been making a crucial contribution about of 81% of total export and 12.36 % of total GDP of the country which is now the single biggest export earner for Bangladesh. The cheap production cost is the key important factor to explore this RMG sector. But these RMG sector is running on the basis of intuition based decisions. Though they are making profit it is not optimal. In this study, a deterministic model is developed to help the RMG to minimize the production cost and to maximize their profit along with optimal utilization of available resources. 10 different types of products are taken from one of the garments factories of Gazipur, Dhaka to prepare this research work. This model suggests the manufacturer on which products along with how much should be produced to meet the future demand by maintaining the lowest production cost that ultimately maximize the profit of the organization, and also helps Bangladesh to compete in the international market with 'Made in Bangladesh'. LINDO programming is used here to solve this LP model.

An Empirical Analysis of the Railroad R&D Stock (철도 R&D Stock에 대한 실증적 분석)

  • Park, Man-Soo;Moon, Dae-Seop;Lee, Hi-Sung
    • Journal of the Korean Society for Railway
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    • v.13 no.5
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    • pp.528-534
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    • 2010
  • In the new growth theory, R&D stock is the third factor of production excluding a labor and capital. In this point, a R&D stock is located in a capital which is accumulated by money like existing capital and this is a knowledge capital. The effort for escalating this knowledge capital is R&D investment and R&D stock is an accumulation of this. A contribution degree of the economic growth and a return of R&D investments are analyzed by an estimation of relation R&D stock and a total factor of productivity. This study analyzed R&D stock of railroad R&D investments and compared R&D stock with a technical level. So, a technical level is proportionally escalated following escalation of R&D stock. and compared railroad industry weight on the GDP with a railroad R&D stock weight on whole industries R&D stock. According to a relatively small railroad R&D stock weight against the railroad industry weight, a continuous railroad R&D investment is needed.

Substitution Elasticity and Gains from Trade Variety in South Korea

  • Kichun Kang
    • Journal of Korea Trade
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    • v.26 no.7
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    • pp.1-18
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    • 2022
  • Purpose - Recent international studies have largely focused on measuring the welfare gains from increased trade varieties. To adequately capture the variety gains, it is of importance to estimate the elasticity of substitution between varieties of trade goods because it is one of the key parameters to determine the magnitude of the variety gains. Using the import data of South Korea, this paper shows that the elasticities vary substantially across the estimators, which affects the magnitude of the gains from trade. Design/methodology - Empirical studies working on the gains from trade variety have heavily depended on the estimation methods for the elasticity of substitution between trade varieties, developed by Feenstra (1994) and refined by Broda and Weinstein (2006). We estimate and compare the estimated elasticities for 8,945 HS 10 goods of South Korea, obtained from the three estimation methods: Feenstra's weighted least square (F-WLS), Feenstra's feasible generalized least square (F-FGLS), and Broda and Weinstein's feasible generalized least square (BW-FGLS). Findings - Using the estimated elasticities from the F-FGLS, considered as a suitable estimator, A typical Korean consumer saved 228 dollars per year by the greater access to new import varieties. This leads to gains from imported variety of 2.06% of GDP. In 2017, a typical Korean consumer would gain by 611 dollars, compared with 2000. China is the country with the largest contribution (28.4%), followed by Japan and USA. About 50% of all the welfare gains come from the imports from the three main trade partners. The Southern Asian countries are more important to the South Korean welfare gain than the Western European countries. Originality/value - Existing studies have chosen one of the methods without any criterion for the choice and then estimated the elasticities of substitution between varieties of trade goods. This paper focuses on the estimation specifications and methods as the cause of the disparity in estimated elasticities and welfare gains from trade variety. According to the Ramsey RESET and White tests, the F-FGLS estimates are relatively better compared to the F-WLS and BW-FGLS estimates. As another contribution, this paper provides the first measure of the welfare gains from trade variety for South Korea, using the estimated elasticities of substitution between trade varieties.

Analysis of Regional Specialization and Value-added Contribution of Local Logistics Industry (지역 물류산업의 특화도와 지역경제 부가가치에 미치는 영향 분석)

  • Park, Seonyoul;Park, Ho
    • Journal of Korea Port Economic Association
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    • v.36 no.2
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    • pp.87-108
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    • 2020
  • The Korean logistics industry has grown with the development of domestic industries. The industry plays an important role in national and regional economic growth, and the government has continued policy efforts to foster the industry. This study analyzes the competitiveness of the regional logistics industry and its contribution to the regional economy. Location coefficients are used to analyze local specialization in each logistics industry. The value-added rate, GDP contribution, value-added induction coefficient, and net value-added income of regional logistics industries are analyzed using a regional input-output table. As a result, the logistics industry is found to have net value-added income and competitiveness in some regions, and there is no relationship between the location coefficient and the value-added contribution of the regional logistics industry. Seoul, Incheon, Gyeonggi, Busan, and Jeju have the competitiveness of each logistics industry. In addition, we identified the regions where the logistics infrastructure is well developed and those in which it needs to be supported. The regions where the logistics industry has developed require policies for making high value-added by logistics activity, and regions with insufficient growth need to support the development of the logistics industry by investing human resources and capital that can meet the local demand.