• Title/Summary/Keyword: Inverted-U shaped

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The Effect of Review Behavior on the Reviewer's Valence in Online Retailing

  • Oh, Yun-Kyung
    • Journal of Distribution Science
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    • v.15 no.10
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    • pp.41-50
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    • 2017
  • Purpose - Online product review has become a crucial part of the online retailer's market performance for a wide range of products. This research aims to investigate how an individual reviewer's review frequency and timing affect her/his average attitude toward products. Research design, data, and methodology - To conduct reviewer-level analysis, this study uses 42,172 posted online review messages generated by 6,941 identified reviewers for 59 movies released in the South Korea from July 2015 to December 2015. This study adopts Tobit model specification to take into account the censored nature and the selection bias arising from the nature of J-shaped distribution of movie rating. Results - Our estimation results support that the negative impact of review frequency and timing on valence. Furthermore, review timing has an inverted-U relationship with the user's average valence and enhance the negative effect of review frequency. Conclusions - This study contributes to the growing literature on the understanding how eWOM is generated at the individual consumer level. On the basis of the main empirical findings, this study provides insights into building a recommendation system in online retail store based on the consumer's review history data - frequency, timing, and valence.

Impact of Cooperative R&D Projects on ICT-Based Technology Convergence

  • Lee, Heongu;Kim, Pang Ryong;Zo, Hangjung
    • ETRI Journal
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    • v.39 no.4
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    • pp.467-479
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    • 2017
  • This study examines how the characteristics of cooperative research and development (R&D) projects in the public domain impact information and communication technology (ICT) convergence. Based on the analysis of 416 cooperative R&D projects under the ICT-based industry convergence R&D program in Korea, the study finds that the characteristics of cooperative R&D projects significantly impact ICT convergence. Moreover, the participation of public research institutes and universities is critical for ICT convergence compared with that of firms. However, in firm-to-firm cooperation, the participation of small and medium enterprises contributes to cross-sectional convergence, while the participation of large firms leads to overall and longitudinal convergence. R&D inputs such as the number of partners and government subsidies exhibit an inverted U-shaped relationship (negative quadratic effect) with technology convergence. Project duration and homogeneous partners are also critical factors for ICT convergence. The results indicate several implications and guidelines on how to effectively organize cooperative R&D projects to facilitate technology convergence.

Does CO2 and Its Possible Determinants are Playing Their Role in the Environmental Degradation in Turkey. Environment Kuznets Curve Does Exist in Turkey.

  • RAHMAN, Zia Ur
    • Journal of Wellbeing Management and Applied Psychology
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    • v.2 no.2
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    • pp.19-37
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    • 2019
  • Over the last few decades, the atmospheric carbon dioxide emission has been amplified to a great extent in Turkey. This amplification may cause global warming, climate change and environmental degradation in Turkey. Consequently, ecological condition and human life may suffer in the near future from these indicated threats. Therefore, an attempt was made to test the relationship among a number of expected factors and carbon dioxide emissions in the case of Turkey. The study covers the time series data over the period of 1970-2017. We employed the modern econometric techniques such as Johansen co-integration, ARDL bound testing approach and the block exogeneity. The results of the Johansen co-integration test show that there is a significant long-run relationship between carbon dioxide emissions and expected factors. The long-run elasticities of the ARDL model show that a 1% increase in the GDP per capita, electric consumption, fiscal development and trade openness will increase carbon dioxide emissions by 0.14, 0.52, 0.09 and 0.20% respectively. Further, our findings reveal that the environmental Kuznets curve (EKC) hypothesis and inverted U-shaped relationship between carbon dioxide emission and economic growth prevails. Therefore, the EKC hypothesis is valid and prevailing in the Turkish economy. The diagnostic test results show that the parameters of the ARDL model are credible, sTable and reliable in the current form. Finally, Block exogeneity analysis displays that all the expected factors are contributing significantly to carbon dioxide emissions in the Turkish economy.

Long-term Sulfur Emissions and Environmental Kuznets Curves: Comparison and Implications

  • Huang, Zheng;Tonooka, Yutaka;Sekiguchi, Kazuhiko;Wang, Qingyue;Sakamoto, Kazuhiko
    • Asian Journal of Atmospheric Environment
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    • v.3 no.1
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    • pp.19-26
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    • 2009
  • The environmental Kuznets curve hypothesis assumes an inverted U-shaped relationship between environmental damage and income, and such curves have been used to study how economic growth affects the environment. In this study, we analyzed data for gross domestic product (GDP) per capita and for sulfur emissions in the industrialized countries of the United Kingdom, United States of America, and Japan, as well as data for the developing country of China, to determine the relationship between emissions and income in these countries. Attempts by these countries' governments to incorporate environmental policy considerations into the income-environment relationship were also examined. The potential role of the environmental Kuznets curve as a policy tool was investigated. We determined that, at least in the case of sulfur emissions, policies and institutions significantly reduced environmental degradation in the industrialized countries studied. Furthermore, the environmental Kuznets curve can reliably predict the future relationship between environmental impact and GDP for developing countries.

Impact of Perceived Cancer Risk on the Cancer Screening Rate in the General Korean Population: Results from the Korean Health Panel Survey Data

  • Kim, Jae-Hyun;Park, Eun-Cheol;Yoo, Ki-Bong
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.23
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    • pp.10525-10529
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    • 2015
  • Objective: To investigate the relationship between the perception of cancer risk and likelihood of having undergone cancer screening. Materials and Methods: We used data from the Korean Health Panel Survey from December 2011 onward. Of 3,390 patients who visited a hospital during the previous year, we included data from 2,466 individuals; 924 samples were excluded due to missing data. Logistic regression analysis and the chi square test were used to investigate the association between perceived cancer risk and the likelihood of having undergone cancer screening. Results: For patients who perceived their risk of developing cancer during the next 10 years to be 30-40%, the odds ratio was increased 1.65 fold (95%CI: 1.223, 2.234) compared with those who perceived their risk to be almost zero. Although the difference was not statistically significant, perceiving cancer risk as either extremely low or extremely high appears to be associated with a reduced likelihood of having undergone cancer screening, resulting in an inverted U-shaped relationship. Conclusions: Physicians and researchers should be aware of the importance of the affective component of risk perception. Policies addressing the influence of cancer risk perception should be implemented in South Korea and worldwide.

Productivity Profiles of Korean Inventors: A First Look at the Korean Inventor Panel Data (한국 개발자 패널데이터를 이용한 기술개발자의 생애주기 생산성 분석)

  • Kim, Jinyoung
    • Journal of Labour Economics
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    • v.41 no.3
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    • pp.161-186
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    • 2018
  • Albeit numerous endeavors in matching names and surveying inventors, inventor-level studies of patent data have been scarce because unique inventors can not be identified across patents. Using the Korean patent data with inventor IDs, birth year, and gender available, we construct unique inventor-level panel data. As the first undertaking with our data, we investigate the age profile of patent productivity among inventors. We find an inverted U-shaped profile with the peak at age 31. We also find an increasing productivity for younger cohorts of inventors. These findings are robust after we control for the calendar year effects and the quality of patents.

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The Impact of Credit on Income Inequality in Vietnam

  • LE, Quoc Hoi;NGUYEN, Bich Ngoc
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.5
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    • pp.111-118
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    • 2020
  • This paper examines the impacts of credit on income inequality in Vietnam. Though it is one of the most common measures of financial development, there is a dearth of research in this area. Unlike previous studies, the paper disaggregates the impact of each type of credit on income inequality, looking at the Gini coefficient. We employ the Generalized Method of Moment (GMM) to solve the endogenous problem. The primary data set contains a panel of 60 Provincial observations, from data collected from the General Statistics Office of Vietnam from 2002 to 2016. The empirical findings show that, while commercial credit increases income inequality, policy credit contributes to reducing income inequality in Vietnam. The results also confirm the important roles of education, institutional quality and foreign direct investment in fighting against income inequality in Vietnam. However, the paper does not provide adequate evidence to support the inverted U-shaped relationship between credit and income inequality. Based on the findings, we argue that the government should direct flows of credit to real economic activities rather than speculative investment; more bank credit should be allocated to rural areas and agriculture; and favorable credit programs should be designed to promote education, especially of those living in rural areas.

Performance Based Pay and Pay Dispersion within Firm: The Korean case (한국기업의 연봉제가 기업내 임금격차에 미치는 영향에 대한 연구)

  • Kim, Jae Gu;Kim, Dong-Bae
    • Journal of Labour Economics
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    • v.34 no.2
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    • pp.29-52
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    • 2011
  • Using occupational wage structure survey(1996-2006) by Korean ministry of employment and labor, we explored the effect of performance based pay on the pay dispersion within firm. Pay dispersion is defined as the within-firm variance of wage residuals after controlling the individual characteristics in the labor market. The results show that introduction of performance-based pay system increases the level of pay dispersion significantly. However, The relationship of employees' ratio who receive performance-based pay and the level of pay dispersion is an inverted U-shaped($\bigcap$).

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Bank Credit, Trade Credit and Growth of Listed Agricultural Firms in Vietnam

  • LE, Ninh Khuong;BUI, Anh Tuan;PHAN, Tu Anh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.303-314
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    • 2020
  • This paper investigates the relationships between bank credit and trade credit with profit of 130 agricultural firms listed on Vietnam's stock exchanges during the period 2008-2014. Using the GMM approach, the paper reveals inverted-U shaped (∩) relationships between bank credit and trade credit with profit. Specifically, the optimal threshold of bank credit and trade credit to total assets of the firms are 0.4173 and 0.2425, respectively. The findings mean that if the ratio of bank credit to total assets exceeds the benchmark of 0.4173, firms should consider restructuring debts to get them back to the benchmark. To do so, firms should withdraw from those business fields that are not of their profession, in addition to liquiditizing unused assets to repay debts and not using short-term credit to invest in long-term projects. Firms may use trade credit wisely when other sources of finance are lacking. In concrete terms, firms can increase trade credit use if the ratio of trade credit to total assets is below 0.2425. Yet, if this ratio goes beyond this benchmark, firms should get back to this benchmark, e.g., keeping a suitable amount of inventory. The implications of this study is to boost firm growth in the proposed way.

Machine Learning Aided Tracking Analysis of Haze Pollution and Regional Heterogeneity

  • Gu, Fangfang;Jiang, Keshen;Cao, Fangdong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2031-2048
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    • 2021
  • Not only can air pollution reduce the overall competitiveness of tourist destinations, but also changes tourists' travel decisions, thereby affecting the tourism flows. The study presents a machine learning method to analyze how the haze pollution puts spatial effect on tourism flows in China from 2001 to 2018, and reveals the regional differences in heterogeneity among eastern, central, and western China. Our investigation reveals three interesting observations. First, the Environmental Kuznets Curve of the impact of haze pollution on tourism flows is not significant. In the eastern and western regions, the interaction between haze pollution and domestic tourism flows as well as inbound tourism flows shows an inverted U-shaped curve respectively. Second, there is an significantly positive spillover effect of tourism flows in all of the eastern, central, and western regions. As to the intensity of spillover, domestic tourism flows is higher than that of the inbound tourism flows. Both of the above figures are greatest in the eastern. Third, the Chinese haze pollution mainly reduces the inbound tourism flows, and only imposes significantly negative direct effects on the domestic tourism flows in the central region. In the central and eastern regions, significantly negative direct effects and spillover effects are exerted on inbound tourism.