• Journal of Information Technology Applications and Management
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• 제21권4_spc호
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• pp.345-359
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• 2014

Technological, policy and economic factors are both important variables in maximizing the results of a national R&D program and key indicators in evaluating an R&D program's eligibility for financial support. Economic analysis, in particular, is used when selecting R&D programs, setting priorities, and estimating economic effects. This paper examines a series of methodological issues related to the economic analysis of national R&D programs within the framework of the current preliminary feasibility evaluation system, and proposes alternative approaches to each of the issues discussed. The issues include the definition of R&D valuation and establishment of valuation factors; estimation of sales attributable to R&D investment; assessment of the total economic value of R&D as intellectual assets; estimation of R&D benefits and assumption of related to sales; and the application of discount rates based on the weighted average cost of capital. Finally, this study presents directions for future research on analytical procedures and methods of improving the reliability of the results of economic analysis within the national technology planning system.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.119-144
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• 2020

Purpose Real estate usually takes charge of the highest proportion of physical properties which individual, organizations, and government hold and instability of real estate market affects the economic condition seriously for each economic subject. Consequently, practices for predicting the real estate market have attention for various reasons, such as financial investment, administrative convenience, and wealth management. Additionally, development of machine learning algorithms and computing hardware enhances the expectation for more precise and useful prediction models in real estate market. Design/methodology/approach In response to the demand, this paper aims to provide a framework for forecasting the real estate market with machine learning algorithms. The framework consists of demonstrating the prediction efficiency of each machine learning algorithm, interpreting the interior feature effects of prediction model with a state-of-art algorithm, LIME(Local Interpretable Model-agnostic Explanation), and comparing the results in different cities. Findings This research could not only enhance the academic base for information system and real estate fields, but also resolve information asymmetry on real estate market among economic subjects. This research revealed that macroeconomic indicators, real estate-related indicators, and Google Trends search indexes can predict real-estate prices quite well.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.252-258
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• 2022

Ukraine has a significant in quantity and unique in quality parameters, in particular, the level of education, a resource - the labor force, which, along with natural resources, can serve as the basis for economic growth and the achievement of sustainable development goals. The study is aimed at a thorough identification of the main factors influencing the formation and use of the labor force in Ukraine, including by comparing with the indicators of the EU countries, before the start of the active phase of military aggression by the Russian Federation. It was found that until February 24, 2022, there were negative trends in the change in the quantitative and qualitative indicators of the labor force due to the demographic crisis, the transformation of the national economy and shortcomings in state regulation of labor market development processes. The military actions not only exacerbated pre-existing problems, but also led to the emergence of new ones. A significant number of refugees and internally displaced persons, with the termination of the activities of half of the economic entities, provoked a sharp increase in real unemployment and a decrease in wages. The specific problem of the labor market of Ukraine - the "labor crisis", which has and will have a significant impact on the labor force, is carefully considered.

• World Technopolis Review
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• 제1권3호
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• pp.206-225
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• 2012

The development of the Surrey Research Park by the University of Surrey is an addition to a number of existing strategies to collaborate with industry that it has developed over its 120 year history. The potential to undertake this development was based on owning a substantial land holding that the University acquired when the Borough Council for the town of Guildford invited the University to relocate from Battersea in London to its new location in 1966. Initial plans for the Park in 1979 were accelerated in 1981 in response to plans by the then government to reduce funding for Higher Education in the UK. Beyond a broad master plan for the site that was based on topography and access to the site the plans that were developed were based on a survey of 100 companies that were deemed to be in the target market for the site and a review of the other 7 science parks that were being developed in the UK in 1981. The findings from this proved to be important in developing the master plan for the site. Another important influence on the project was the objectives that were defined for the 3 stakeholders in the project of the University, the tenant companies and the planning authority relate to economic development, a competitive advantage of tenant companies, knowledge transfer, the profile for the University and the capacity to generate income proved to be a valuable framework on which to develop a master plan. These details were underpinned by five objectives which served the three stakeholders in the site. Those for the University included commercial potential, knowledge transfer and image and reputation; those for the town primarily related to economic development and the plan was to help tenants gain a competitive advantage by locating on the site. In addition a number of success indicators were defined for the project against which to measure performance and have remained as a useful set of parameters on which to base the assessment of the performance of the site. In combination with these indicators a further analysis deals with the success factors that are considered as important in influencing performance. The paper sets details the history of the park and covers the success indicators and factors and reviews these in the context of the original objectives for the site.

• 한국지역지리학회지
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• 제13권3호
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• pp.235-253
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• 2007

본 연구에서는 우리나라 7대 대도시를 대상으로 지속가능발전성을 비교 평가하였다. 국가지속가능발전지표 목록 등을 참고하여 3개 부문, 14개 지표군, 42개 하위지표를 선정하여 정량적 지표체계를 구축하였다. 대도시간 비교분석을 위해 지표별로 7대 대도시의 평균값을 기준으로 지속가능성을 상대평가 하였으며, 이 때 필요시 역기능지표를 순기능 지표화 하여 모든 지표를 동일한 스케일로 비교 가능하도록 하였다. 그 결과 서울이나 울산과 같이 특정산업이 집중한 도시에서 경제적 지속가능성이 높았으나 환경적 지속가능성은 낮았고, 지역경제가 낙후된 광주에서 환경적 지속가능성이 높은 것으로 나타났다. 부산, 대구, 인천은 전반적으로 지속가능성이 낮은 반면, 대전은 3개 부문 모두에서 조화롭게 지속가능성이 높아 대도시 중 통합적 지속가능성이 제일 높은 것으로 나타났다.

• 농업생명과학연구
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• 제44권4호
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• pp.57-68
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• 2010

본 연구는 지금까지 추진되어 왔던 전통테마마을 사업의 추진성과를 분석하기 위해 인적 요소, 경제적 요소, 사회적 요소 등으로 구성된 평가지표를 개발하였다. 평가지표에 대한 객관성을 확보하기 위해 전문가를 대상으로 AHP법을 이용하여 중요도 평가를 실시하였다. 평가지표의 중요도는 주민만족도 (150), 주민참여도 (145), 경제적효과 (123), 민박가구수 (101), 리더양성정도 (96), 사업이해도 (90) 순으로 나타났다. 6개 마을에 적용한 결과, 해바리마을, 다랭이마을, 남사예담촌, 물레방아떡마을, 산첩렵마을 순으로 평가량이 산정되었다. 농촌마을 간의 균형적인 발전을 도모하기 위해 인적 측면, 경제적 측면, 사회적 측면에서 개선방안을 제시하였다.

• 한국환경복원기술학회지
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• 제21권1호
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• pp.119-132
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• 2018

This study was conducted to suggest an assessment indices to evaluate the ecosystem services of the unique functions of wetlands as well as economic value provided by the village wetlands. The assessment indicators applied in this study were used by the RAM indices. The results of RAM assessment on the village wetlands in Cheonan city were analyzed by item and critical functions of the village wetland. They were derived by assessment indicators of ecosystem services, and the village wetland ecosystem were presented by Focus Group Interview (FGI). The 20 critical indices were selected from 52 different indices by analyzing the wetland function assessment items. 13 indicators excluding duplicate indexes by function, were selected as ecological service impact indicators. Finally, ecosystem services were evaluated by using AHP analysis to calculate the weight of each assessment indices and apply it to the 9 village wetlands. The results of this study confirmed that the functions of the village wetlands are compliant with the ecosystem services. Based on this assessment of the unique functions of wetlands, it will serve as a methodology for assessing ecosystem services. The study was also conducted on 49 wetlands in Cheonan. The detailed assessment of wetland ecosystem services based on the wetland ecosystem function proposed by this study, was further developed as a follow-up study. It suggested that the wetland areas should be compared and be used as a general standard. In addition to the assessment of the economic value of ecosystem services provided by the village wetlands, it would be useful to assess the unique features and convert them into value.

• 한국산림과학회지
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• 제95권6호
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• pp.696-704
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• 2006

본 연구는 광역지자체를 평가 단위로 하여 산림지속성 지수 도출을 목적으로 한다. 산림지속성은 지속가능발전의 세 개의 축인 경제, 사회, 환경과 함께 기반을 추기하여 네 개의 축(부문)에 근거하여 평가되었다. 이들 부문의 중요도는 계층분석법의 한 형태인 쌍대비교 방식에 의하여 도출하였다. 경제, 사회, 환경에 해당하는 지표는 각기 3개씩, 기반 부문에는 6개로, 총 15개의 지표를 이용하여 산림지속성 지수를 산출하였다. 지표의 가중치 적용 방법으로는 점수가중치 방법을 사용하였다. 산림지속성 지수는 1995년부터 2004년까지 자료를 토대로 부문별, 관리/건강성, 종합지수로 구분하여 산정하였다. 산림지속성 종합지수는 2004년 기준으로 경상북도가 71.8로 가장 높았으며 인천이 22.9로 가정 낮게 나타났다.

• 유통과학연구
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• 제17권3호
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• pp.107-116
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• 2019

Purpose - Why, why is it difficult to predict the appropriateness of self-employment, and what are the countermeasures and policy proposals to overcome. This study intends to further develop the field of statistical variables. It is necessary to overcome the limitation of existing proper scale research in Korea. We need to find statistical variables that can determine the appropriateness of self-employment in Korea. These efforts will be helpful in evaluating OECD countries and statistics and developing domestic economic indicators. Research design, data, and methodology - It is the discovery of statistical indicators and complementary indicators that have not been revealed in previous studies. Therefore, we sought to find new statistical parameters based on the statistics of the Korea National Statistical Office, the Bank of Korea, and overseas OECD statistics. (Proper Size of Adequacy) is defined as the specific gravity or number of the self-employed in Korea, which is shown as "Out Put" by statistical analysis of STATA panel statistical data. It is possible to further develop variables such as gross domestic product, gross national product, economic growth rate, unemployment rate, income tax rate, consumer price, tax level, exports, import amount, bill default I want to dig. Results - In addition to expanding economic indicators that can be explained by self-employment determinants, we have developed a variety of methods such as linear and non-linear (U-shaped, inverted U-shaped). It is the improvement of the self-employment determinants and the analysis method to estimate the appropriate scale. Conclusions - The proposed contents are reflected in self - employment appropriateness evaluation data and hope to help the government to select the policy support and to evaluate the government business after the policy support. These efforts are expected to be of great help to operators operating their own businesses, and to government and related institutional practitioners who support them. In this way, self-employment will be created in accordance with the Korean situation, where the happy life of all the people becomes the premise and the inclusive economic activities are guaranteed. It will improve the method of analyzing proper scale of small business owners and self-employed in Korea.

• 응용통계연구
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• 제37권2호
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• pp.119-138
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• 2024

본 연구는 노이즈 필터링과 차원축소 등의 방법을 이용하여 텍스트 지표의 정상화에 대해 검토하고 실증 분석을 통해 동 지표의 활용가능성을 제고할 수 있는 후처리 과정을 탐색하고자 하였다. 실증분석에 대한 예측 목표 변수로 월별 선행지수 순환 변동치, BSI 전산업 매출실적, BSI 전산업 매출전망 그리고 분기별 실질 GDP SA전기비와 실질 GDP 원계열 전년동기비를 상정하고 계량경제학에서 널리 활용되는 Hodrick and Prescott 필터와 비모수 차원축소 방법론인 충분차원축소를 비정형 텍스트 데이터와 결합하여 분석하였다. 분석 결과 월별과 분기별 변수 모두에서 자료의 수가 많은 경우 텍스트 지표의 노이즈 필터링이 예측 정확도를 높이고, 차원 축소를 적용함에 따라 보다 높은 예측력을 확보할 수 있음을 확인하였다. 분석 결과가 시사하는 바는 텍스트 지표의 활용도 제고를 위해서는 노이즈 필터링과 차원 축소 등의 후처리 과정이 중요하며 이를 통해 경기 예측의 정도를 높일 수 있다는 것이다.