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박치형 서울대학교행정대학원 2011 The Korean Journal of Policy Studies Vol.26 No.2
Growth of the three largest US ethnic minorities (Hispanics, blacks, and Asians) is compared against three socioeconomic conditions—income, poverty, and employment—in US metropolitan statistical areas. The literature on the geography of ethnicity, particularly its social and economic findings, needed additional data collection and analysis. Findings from this research demonstrate that the social and economic characteristics of blacks, Hispanics, and Asians differed between central and suburban cities, and were more important descriptors and explanatory factors for socioeconomic changes in central cities than in suburban cities between 1990 and 2000. Growth among blacks and Hispanics, but not Asians, affected socioeconomic changes in those groups in central cities and suburban cities in U.S. metropolitan areas. These findings support the perception of overall improved socioeconomic status in these central and suburban cities for black and Hispanic growth.
갭 모형 기반의 서비스 프로토타이핑 및 실험 프레임워크
박치형,정재윤,김상국 대한산업공학회 2012 대한산업공학회 춘계학술대회논문집 Vol.2012 No.5
서비스는 제품처럼 프로토타입을 만들어 테스트해 볼 수 없기 때문에, 서비스를 가상현실로 구현하여 테스트할 수 있는 서비스 실험에 대한 연구가 진행 중에 있다. 서비스 실험은 가상현실에서 수행하기 때문에, 기존의 서비스 품질 측정 방법으로 실험 결과를 측정하고 평가하는 데에는 한계가 있다. 본 연구는 서비스 품질 갭 모형을 서비스 프로토타이핑 및 실험에 적합하게 확장한 서비스 프로토타입 갭 모형을 제시한다.
An Empirical Study of Adopting Development Impact Feesin U.S. Metropolitan Cities
박치형 서울연구원 2009 서울도시연구 Vol.10 No.1
This research examines what characteristics of cities affect impact fee decisions by local governments within metropolitan regions using data from the U.S. Census Bureau. More and more cities are adopting different types of impact fees for financing public facilities and infrastructure with their cities’ growth upon which to base their decisions. To explore what overall characteristics of cities of U.S. metropolitan regions affect the adoption of impact fees, a research design is developed that randomly select 276 cities out of 827 cities having population exceeding 25,000 in the 97 Metropolitan Statistical Areas having populations exceeding 500,000 from the total 361 Metropolitan Statistical Areas. Empirical evidence should indicate that impact fee adoption relates to forms of local government, geo-demographic characteristics, local financial and unemployed conditions. Binary logistic regression is employed to provide information for local governments to seek or create their own fiscal policies to finance public facilities and infrastructure. The forms of local government are not statistically significant to the adoption of impact fees; however, the geo-demography of cities and local financial and unemployed conditions are important to explain impact fee adoptions. These findings have inspired additional research to examine the relationship between local economic growth and the adoption of impact fees.
갭 모형 기반의 서비스 프로토타이핑 및 실험 프레임워크
박치형,정재윤,김상국 한국경영과학회 2012 한국경영과학회 학술대회논문집 Vol.2012 No.5
서비스는 제품처럼 프로토타입을 만들어 테스트해 볼 수 없기 때문에, 서비스를 가상현실로 구현하여 테스트할 수 있는 서비스 실험에 대한 연구가 진행 중에 있다. 서비스 실험은 가상현실에서 수행하기 때문에, 기존의 서비스 품질 측정 방법으로 실험 결과를 측정하고 평가하는 데에는 한계가 있다. 본 연구는 서비스 품질 갭 모형을 서비스 프로토타이핑 및 실험에 적합하게 확장한 서비스 프로토타입 갭 모형을 제시한다.
박치형,안경섭 한국정책과학학회 2017 한국정책과학학회보 Vol.21 No.4
This article examines the effect of the shift of White and the growth of ethnic groups on cities' housing variables in the Dallas-Fort Worth-Arlington metropolitan areas. The effect of the shift of White and the growth of ethnic groups is considered as an important fact to fully explain the Dallas-Fort Worth-Arlington metropolitan cities' housing characteristics with an adequate range of empirical data. Accordingly, the major purpose of this article is to scrutinize the shift of White and the growth of ethnic groups by analyzing 57 cities' housing variables, using a cross-sectional data set from Census Bureau 2000-2010 in the Dallas-Fort Worth-Arlington metropolitan statistical areas (MSAs). Findings are as follows: the shift of White and the growth of ethnic groups (Hispanic and Asian) except Black affect the rate of growth of housing units in the 57 Dallas-Fort Worth-Arlington metropolitan cities between 2000 and 2010. Also, the rate of Hispanic growth decreases the rate of growth of median housing value because of indicating the negative coefficient. For the rate of growth of home-ownership, all parameters are not any statistically significant in all significant levels in the 57 Dallas-Fort Worth-Arlington metropolitan cities. For the change rate of gross rent fee, Black growth affects the decrease of gross rent fee as indicated by the negative coefficient; however, the Asian growth rate increases the change rate of gross rent fee in the 57 Dallas-Fort Worth-Arlington metropolitan cities. These findings should be simultaneously considered by housing policy makers or planners as they try to carry out desirable metropolitan housing conditions with White and ethnic growth.
박치형,원성수 한국거버넌스학회 2015 한국거버넌스학회보 Vol.22 No.3
As a part of its policy to entice international automotive investments, in 2006 the State of Georgia won the Kia Motors bid to bring about an automobile assembly plant in West Point Town, Troup County, Georgia at the cost of about $258 million worth of incentive package. Since publicizing a proposal in 2006 to build the Kia Motors Manufacturing Georgia (KMMG) plant on 2,200 acres in West Point and Troup County in Georgia, the research analyzed the economic impact of the Kia Motors investment on the Troup County region . The findings revealed that the international automotive investment would create substantial direct and indirect employment and income for the regional economic growth. The research shows that KMMG had a noteworthy influence on the Troup County and the adjacent regions; therefore, the effect would be increased by the regional economic development. The Troup County region maintains active economy due to KMMG and its supplies’ employment creations. Accordingly, the study shows that there are vital and positive relationships between the investment of external firm and the regional economic growth.
박치형,김왕식 한국공공관리학회 2017 한국공공관리학보 Vol.31 No.2
This article examines the effect of the change of ethnic population and racial residential segregation on cities' housing variables in Chicago metropolitan areas. The effect of the change of racial segregation is considered as a critical fact to fully explain Chicago metropolitan cities' housing with an adequate range of US census data. Accordingly, the major purpose of this study is to explore the change of ethnic population and racial residential segregation by analyzing 156 cities' housing variables, using a cross-sectional data set from Census Bureau 2000-2010 in the Chicago metropolitan statistical area (MSA). Two major findings are as follows: the growth of ethnic groups (Black and Hispanic) is strongly supported over the rate of growth of housing units and the rate of growth of rent housing units during the decade and the change of Hispanic - White dissimilarity index 2000-2010 affect the rate of growth of median housing value between 2000 and 2010. That is, the racial residential segregation cannot almost affect the housing characteristics except the rate of growth of median housing value. Accordingly, the growth of ethnic groups (Black and Hispanic) virtually relates the housing variables in the 156 Chicago metropolitan cities between 2000 and 2010. Therefore, urban American is becoming increasingly heterogeneous ethically and racially. While at the same time, many metropolitan cities are becoming increasingly more homogeneous as the middle class leaves. The results should be simultaneously considered by housing policy makers or planners as they try to achieve desirable housing policies in the Chicago metropolitan area.