• Title/Summary/Keyword: research resource allocation

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An Investigation on the Mutual Effect between Tax Revenue and Economic Growth

  • He, Yugang
    • The Journal of Economics, Marketing and Management
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    • v.6 no.3
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    • pp.14-25
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    • 2018
  • Purpose - Taxes cover all aspects of society, especially in terms of resource allocation and economic growth. In reality, the tax revenue is often used to measure the quality of a country's economy. The relationship between tax revenue and economic growth has been paid much attention by academic circles. Due to this background, this paper attempts to investigate the mutual effect between tax revenue and economic growth. Research design, data, and Methodology - The annual datum form 1980 to 2017 are employed to conduct an empirical analysis under the vector error correction model. In this paper, the GDP is treated as an independent variable. The tax revenue is treated as a dependent variable. Furthermore, a menu of statistic approaches will be used to testify the mutual effect between tax revenue and economic growth. Results - Via the co-integration test, the results report that the tax revenue has a positive effect on economic growth in the long run. Through the vector error correction estimation, the results also report that the tax revenue also has a positive effect on economic growth in the short run. Conclusions - This paper provides a view that the tax revenue is a kind of a determinant to promote economic growth. Therefore, the China's government should pay much attention to the improvement of tax revenue system so as to maintain a high-speed economic growth.

Social Media Performance: From the Perspective of Strategic Direction of Social Media Firm and User's Dependency on Social Media (소셜미디어 기업의 전략적 방향성에 따른 이용자들의 전환 의도 연구)

  • Inwon Kang;Ahra Oh
    • Korea Trade Review
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    • v.47 no.6
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    • pp.21-37
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    • 2022
  • This study sought to look at why Facebook and Twitter, which have dominated the social media market, are moving away from other services. To this end, we sought to identify the causes of churn in terms of firm-level strategic direction and resource allocation, which have not been actively presented to the studies. For this purpose, this study divides the social media firm's strategies into horizontal expansion strategy and vertical integration strategy based on the existing reports and researches, and how each of the representative firms' strategies affects users' switching behavior. As a result, there was a significant difference in the strategic direction of the social media firm, when a horizontal expansion strategy is taken, user's switching intention is higher than when a vertical integration strategy is taken. In addition, the switching intention according to the level of dependence showed that the lower the dependence on social media, the higher the intention to switch to other media. The findings are expected to provide highly realistic and concrete strategic alternatives for a variety of economic actors, such as individuals and companies who want to do business using social media.

The Research on the Real-time Emergency Response Plan for the Company based on Consequence Analysis for Chemical Accidents (화학사고 발생 시 피해예측 모델과 연계된 사업장의 실시간 비상대응 체계에 관한 연구)

  • Jun Ho Ha;Chang Jun Lee
    • Journal of the Korean Society of Safety
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    • v.39 no.2
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    • pp.28-37
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    • 2024
  • The recent surge in the production and handling of hazardous materials in Korea necessitates developing and implementing robust emergency response plans. These plans are crucial in safeguarding the well-being of workers and residents in the event of an incident. The consequence analysis methodology outlined in the KOSHA guidelines provides a foundation for designing emergency response plans in the event of chemical accidents. However, the consequence analysis is evaluated based on assumed accident cases or worst-case scenarios. Consequently, the emergency response plan based on the consequence analysis may overestimate the damage area, complicating rescue efforts and unnecessarily increasing costs. More information and parameters become available after an accident, enabling more accurate consequence analysis. This implies that the results of consequence analysis based on this detailed information provide more realistic results than those based on assumed accidents. This study attempts to optimize the resource allocation and cost-effectiveness of emergency response plans for chemical accidents. Existing procedures and manuals are revised to elucidate the proposed model and conduct real-time consequence analysis. The existing emergency response plan is compared to verify the proposed model's efficacy. The obtained results indicate that the proposed model can exhibit better performance.

Enhancing Heart Disease Prediction Accuracy through Soft Voting Ensemble Techniques

  • Byung-Joo Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.3
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    • pp.290-297
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    • 2024
  • We investigate the efficacy of ensemble learning methods, specifically the soft voting technique, for enhancing heart disease prediction accuracy. Our study uniquely combines Logistic Regression, SVM with RBF Kernel, and Random Forest models in a soft voting ensemble to improve predictive performance. We demonstrate that this approach outperforms individual models in diagnosing heart disease. Our research contributes to the field by applying a well-curated dataset with normalization and optimization techniques, conducting a comprehensive comparative analysis of different machine learning models, and showcasing the superior performance of the soft voting ensemble in medical diagnosis. This multifaceted approach allows us to provide a thorough evaluation of the soft voting ensemble's effectiveness in the context of heart disease prediction. We evaluate our models based on accuracy, precision, recall, F1 score, and Area Under the ROC Curve (AUC). Our results indicate that the soft voting ensemble technique achieves higher accuracy and robustness in heart disease prediction compared to individual classifiers. This study advances the application of machine learning in medical diagnostics, offering a novel approach to improve heart disease prediction. Our findings have significant implications for early detection and management of heart disease, potentially contributing to better patient outcomes and more efficient healthcare resource allocation.

National Statistics of Endoscopic Submucosal Dissection for Early Gastric Cancer in Korea

  • Sang Hoon Lee;Hyunseok Cho;Myoung-Nam Lim;Seung-Joo Nam
    • Journal of Gastric Cancer
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    • v.24 no.4
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    • pp.464-478
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    • 2024
  • Purpose: Endoscopic submucosal dissection (ESD) is the standard treatment for early gastric cancer (EGC) with a low risk of lymph node metastasis. In Korea, ESD was included in the National Health Insurance (NHI) coverage in 2011, which was expanded in 2018. In the present study, we investigated the status and trends of ESD for EGC over the past decade since its incorporation into the NHI system. Materials and Methods: We analyzed the data from the National Health Insurance Service (NHIS) database from 2011 to 2021, focusing on patient characteristics, number of ESD procedures, in-hospital length of stay (LOS), and total medical cost (TMC) per admission. In addition, we conducted an interrupted time series analysis to assess the impact of changes in insurance coverage on these variables. Results: Overall, 95,348 cases of ESD for EGC were identified. A consistent annual increase in ESD procedures was observed, particularly in tertiary care hospitals and among patients aged >60 years. The overall median LOS and TMC were 4 days and 2,123,000 KRW, respectively. The 2018 insurance coverage expansion did not significantly affect the number of ESD procedures or LOS; however, the TMC increased significantly. Conclusions: Our study illustrates decade-long trends in the ESD for EGC in Korea. The policy needs to be revised continuously to optimize ESD use and improve resource allocation within healthcare systems.

Knowledge-driven Dynamic Capability and Organizational Alignment: A Revelatory Historical Case

  • Kim, Gyeung-Min
    • Asia pacific journal of information systems
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    • v.20 no.1
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    • pp.33-56
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    • 2010
  • The current business environment has been characterized as less munificent, highly uncertain and constantly evolving. In this environment, the company with dynamic capability is reported to be more successful than others in building competitive advantage. Dynamic capability focuses on the link between a dynamically changing environment, strategic agility, architectural reconfiguration, and value creation. Being characterized to be flexible and adaptive to market circumstance changes, an organization with dynamic capability is described to have high resource fluidity, which represents business process, resource allocation, human resource management and incentives that make business transformation faster and easier. Successful redeployment of the resources for dynamic adaptation requires organizational forms and reward systems to be well aligned with firm's technological infrastructures and business process. The alignment is considered to be an executive level commitment. Building dynamic capability is knowledge driven; relying on new knowledge to reconfigure firm's resources. Past studies established the link between the effective execution of a knowledge-focused strategy and relevant setting of architectural elements such as human resources, structure, process and information systems. They do not, however, describe in detail the underlying processes by which architectural elements are adjusted in coordinated manners to build knowledge-driven dynamic capability. In fact, understandings of these processes are one of the top issues in IT management. This study analyzed how a Korean corporation with a knowledge-focused strategy aligned its architectural elements to develop the dynamic capability and thus create value in the dynamically changing markets. When the Korean economy was in crisis, the company implemented a knowledge-focused strategy, restructured the organization's architecture by which human and knowledge resources are identified, structured, integrated and coordinated to identify and seize market opportunity. Specifically, the following architectural elements were reconfigured: human resource, decision rights, reward and evaluation systems, process, and IT infrastructure. As indicated by sales growth, the reconfiguration helped the company create value under an extremely turbulent environment. According to Ancona et al. (2001), depending on the types of lenses the organization uses, different types of architecture will emerge. For example, if an organization uses political lenses focusing on power, influence, and conflict. the architecture that leverage power and negotiate across multiple interest groups would emerge. Similarly, if an organization uses economic lenses focusing on the rational behavior of organizational actors making choices based on the costs and benefits of action, organizational architecture should be designed to motivate and provide incentives for the actors (Smith, 2001). Compared to this view, information processing perspectives consider architecture to be designed to maximize the capacity of information processing by the actors. Using knowledge lenses, the company studied in this research established architectural elements in a manner that allows the firm to effectively structure knowledge resources to form dynamic capability. This study is revelatory single case with a historic perspective. As a result of this study, a set of propositions and a framework are derived, which can be used for architectural alignment.

Estimation of Industrial Water Supply Benefits Using Production Function Approach (생산함수 접근법에 의한 공업용수 공급편익 산정 방안)

  • Kim, Gil Ho;Yi, Choong Sung;Lee, Sang Won;Shim, Myung Pil
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.2B
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    • pp.173-179
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    • 2009
  • Industrial water supplied by water resource project is essential input materials along with labor, capital and land for companies. It is very important to stably secure these input materials in order for the industry to generate additional values. If the supply of industrial water is stopped, it is known damage for the industry is greater than domestic water or agriculture water based on same amount of supply. Like this, the actual value of industrial water has been highly acknowledged from the intuitive perspective, but study on the value and benefits of industrial water has been rarely conducted. Therefore, this study verified the value of industrial water supplied from water resource project, and used marginal production value as a measure to estimate the benefits of industrial water in the analysis of economic efficiency. As a result of empirical analysis using Cobb-Douglas production function and Translog production function, industries' average marginal production value was $5,427KRW/m^3$ and $5,583KRW/m^3$ respectively. The marginal production value for eleven industries were estimated by using same method. The marginal production value by industries presented by this study will be used as important data to calculate benefits of industrial water in the future. Moreover, the result of this study will provide reasonable criteria for decision making on the allocation of water in emergency situation, and problem of resource supply from water resource project.

Statistical Modelling and Forecasting of Cervix Cancer Cases in Radiation Oncology Treatment: A Hospital Based Study from Western Nepal

  • Sathian, Brijesh;Fazil, Abul;Sreedharan, Jayadevan;Pant, Sadip;Kakria, Anjali;Sharan, Krishna;Rajesh, E.;Vishrutha, K.V.;Shetty, Soumya B.;Shahnavaz, Shameema;Rao, Jyothi H.;Marakala, Vijaya
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.3
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    • pp.2097-2100
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    • 2013
  • Background: To estimate the numbers and trends in cervix cancer cases visiting the Radiotherapy Department at Manipal Teaching Hospital, Pokhara, Nepal, statistical modelling from retrospective data was applied. Materials and Methods: A retrospective study was carried out on data for a total of 159 patients treated for cervix cancer at Manipal Teaching Hospital, Pokhara, Nepal, between $28^{th}$ September 2000 and $31^{st}$ December 2008. Theoretical statistics were used for statistical modelling and forecasting. Results: Using curve fitting method, Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power and Exponential growth models were validated. Including the constant term, none of the models fit the data well. Excluding the constant term, the cubic model demonstrated the best fit, with $R^2$=0.871 (p=0.004). In 2008, the observed and estimated numbers of cases were same (12). According to our model, 273 patients with cervical cancer are expected to visit the hospital in 2015. Conclusions: Our data predict a significant increase in cervical cancer cases in this region in the near future. This observation suggests the need for more focus and resource allocation on cervical cancer screening and treatment.

Needle Life Span, Photosynthetic Pigment and Nitrogen Allocation of Picea jezoensis in Korea (우리나라 가문비나무의 침엽 수명, 광색소 및 질소 배분 특성)

  • Han, Sim-Hee;Kim, Du-Hyun;Kim, Gil Nam;Yun, Chung-Weon
    • Journal of Korean Society of Forest Science
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    • v.101 no.1
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    • pp.62-68
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    • 2012
  • We have investigated needle life span, photosynthetic pigment and nitrogen allocation pattern in the needle of Picea jezoensis in the three populations (Gyebangsan, Deogyusan and Jirisan) to find out growth environmental condition which needs the strategy development of conservation and restoration against population decline. Needle survival rate was the highest in Gyebangsan (87.0%) and the lowest in Jirisan (71.6%), and it decreased with the increase of needle age. Needle chlorophyll a and b in Deogyusan and Jirisan showed higher content in older needle, but chlorophyll content in Gyebangsan was the highest in 2-year-old needle. Carotenoid content was the highest in the needle in Gyebangsan, and it increased along with needle age. Chlorophyll a/b ratio showed the highest value in Jirisan and the lowest value in Gyebangsan. Chlorophyll/carotenoid ratio decreased with needle age, Needle nitrogen content was the highest in Deogyusan (1.51%) and the lowest in Gyebangsan (1.40%), and the older needle had the lower content. In contrast, the highest chlorophyll/nitrogen ratio represented the oldest needle.

Estimating the Economic Burden of Premature Mortality Caused by Cancer in Iran: 2006-2010

  • Karami-Matin, Behzad;Najafi, Farid;Rezaei, Satar;Khosravi, Ardashir;Soofi, Moslem
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.4
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    • pp.2131-2136
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    • 2016
  • Background: Cancer is currently one of the main public health problems all over the world and its economic burden is substantial both for health systems and for society as a whole. To inform priorities for cancer control, we here estimated years of potential life lost (YPLL) and productivity losses due to cancer-related premature mortality in Iran from 2006 to 2010. Materials and Methods: The number of cancer deaths by sex and age groups for top ten leading cancers in Iran were obtained from the Ministry of Health and Medical Education. To estimate the YPLL and the cost of productivity loss due to cancer-related premature mortality, the life expectancy method and the human capital approach were used, respectively. Results: There were 138,228 cancer-related deaths in Iran (without Tehran province) of which 76 % (106,954) were attributable to the top 10 ranked cancers. Some 63 % of total cancer-related deaths were of males. The top 10 ranked cancers resulted in 106,766,942 YPLL in total, 64,171,529 (60 %) in males and 42,595,412 (40%) in females. The estimated YPPLL due to top 10 ranked cancers was 58,581,737 during the period studied of which 32,214,524 (54%) was accounted for in males. The total cost of lost productivity caused by premature deaths because of top 10 cancers was 1.68 billion dollars (US$) from 2006 to 2010, ranging from 251 million dollars in 2006 to 283 million dollars in 2010. Conclusions: This study showed that the economic burden of premature mortality attributable to cancer is significant for Iranian society. The findings provide useful information about the economic impact of cancer for health system policy/decision makers and should facilitate planning of preventive intervention and effective resource allocation.