Extensive literature examines the relation between land use patterns and obesity, but less work explores whether local employment centers may reduce obesity. Local employment centers may affect obesity via providing agglomeration benefits such as increased job/transportation opportunities and closer proximity to local facilities/destinations. We utilized a large serial crosssectional health survey from Los Angeles, California, conducted over three periods, to examine whether the presence of local employment centers modifies the association between land use patterns and individual body mass index. We retrieved individual health and sociodemographic data from the Los Angeles County Health Survey (2002, 2005, and 2007). To this Health Survey, we linked land use attributes at the census tract level collected from the Southern California Association of Governments. Our log-transformed regression models present interactions between local employment centers, neighborhood urban form features, and body mass index. Although most findings are consistent with previous studies, some of land use factors hypothesized to reduce the risk of obesity could have counterintuitive associations unless local employment centers were controlled. The unexpected results of our land use coefficients indicate that the tenet of New Urbanism may not necessarily promote health benefits. Our findings suggest that modifying the built environment may be effective in reducing obesity only in areas with high degree of local employment centers. Future studies would benefit from longitudinal and experimental, rather than cross-sectional, study designs that rigorously test the potential causal role of New Urbanism on obesity.
Damage from climate change has increased gradually and globally; similarly, climate change risk is considered a critical issue in South Korea. Recent trends indicate that heavy precipitation is more likely to increase in terms of frequency and intensity, and it will also be more widely spread than previously recorded. In this study, we investigated the severity of the risk of heavy precipitation in South Korea because of climate change. Climate change risk indices were developed and divided into the “Hazard,” “Vulnerability,” and “Exposure” categories and visualized to present heavy precipitation risk that was identified by hot spot analysis with various spatial characteristics. Using a heavy precipitation risk index, we suggested how risk intensity differs between urban and rural areas. We found that spatial characteristics must be considered when assessing heavy precipitation risk and preparing climate change adaptation strategies. This study will be of use to local and national policy-makers and stakeholders associated with climate change in Korea. The results can further contribute to the study analyzing which factors potentially affect the heavy precipitation risk using various econometric analyses.
This study suggests a new framework that empirically quantifies the temporally disaggregate economic impacts. Utilizing only secondary data, including post-event information on concurrent demand and value-added changes in the wake of Hurricanes Katrina and Rita, the framework is used to identify the technological changes in production that actually occurred after a major disruption. Two methodologies are developed for the framework and data analysis: a quasi-experimental model and an economic model. The Holt–Winters time-series approach is used to estimate normal economic trends under the assumption that the two hurricanes had not occurred, and the results are compared to actual trends. The gaps between the estimated and actual trends represent the direct impacts. We utilized the flexible national interstate economic model to construct a month-to-month supply-side version of the national interstate economic model and measure the total economic impacts of Hurricanes Katrina and Rita by month, state and industry, including adaptations. The new framework, which provides estimates of economic impact adaptation process and resilient results, refines the often substantially overstated impacts provided by the application of conventional economic models. The suggested approach can be used to address questions about the effects of time, distance, and industry linkages, and hence the dynamics of conflict activities.
This study examines how built environment factors at trip destinations influence nonmotorized travel behavior in the City of Long Beach, California. Using 2008–2009 National Household Travel Survey with California Add-Ons, we found that nonmotorized users tend to choose more clustered destinations than motorized users, and that density, diversity, and design at destinations significantly affect mode choice decisions. Transportation networks and nonmotorized facilities at trip destinations are especially important factors for nonmotorized mode choice. Future policy and research need to consider built environment factors at trip destinations to effectively accommodate nonmotorized travel within a city.
Technological innovation in transportation and the related industrial and entrepreneurial ecosystems can reduce urban environmental risks, maintaining urban environments. This study measures inter-county spillovers of the greenhouse gas (GHG) emissions impact associated with economic activity changes in the Southern California region when emerging clean transportation technologies are introduced to the region. Using a pseudo ‘top-down’ method, we successfully distributed the state level GHG emissions data to the county level because the GHG emissions inventory is not supported below the state level by the U.S. Environmental Protection Agency. Using the Environmental Southern California’s Inter-county Social Accounting Matrix (ESCI-SAM) model and a bridge connecting two digit NAICS sectors to the GHG emissions inventory sectors, the spillover effects were measured by replacing of existing final demand for seven counties in the Southern California region. Furthermore, this study developed an extended method to discover how the effect of seven counties of the region is distributed to the rest of California excluding the seven counties, the rest of the U.S., and the rest of the world, respectively. While this study tried to measure how alternative, new clean technology freight vehicles that meet the goal of the Scoping Plan of California could spill over the region, the model developed in this study can be used for the diverse scenario simulations that involve an introduction of green economy that regulates GHG emissions of a local region.
Quantifying many natural disasters economically is a global concern. Even in the U.S., economic damages stemming from natural disasters are experienced annually. Unexpected natural disasters result in various economic and business management disruptions. Especially, complex inter-industrial and inter-regional connections in established economies may experience much larger impacts by a disaster, and hence, the economic and business losses need to count not only the direct, actual lost value of business during the disrupted period, but also the indirect, latent lost value that would not have occurred. In the U.S., severe economic damages generated by the two hurricanes that hit the Gulf of Mexico in August 2005 were recorded in the history; however, this hurricane-generated economic loss is still being experienced. Hurricane Sandy occurred in 2012 is recorded as one of the largest storms ever to mash American territory. The hurricane-caused disruptions of metro built environments and natural environmental systems demonstrated how fragile New York City (NYC) and Long Island areas are from hurricanes and storm surges. This promptly generated a new discussion of building coastal barriers surrounding the shorelines of the areas, expecting to minimize the destructive risk from a similar event in the future. An issue that was not seriously explored in this discussion is how to account for economic damages more extensively and accurately. Majority studies of estimating economic damages rely on governmental reports that mostly focus on the magnitude of building losses directly damaged or on speculations about future impacts on the area already damaged. However, when considering inter-industrial and inter-regional economic connections which are becoming more complicated, accounting for the indirectly connected ripple impacts is important in the market economies because recovery from economic damages requires an understanding of resilient paths of the lost business production. This study provides a procedure to estimate a type of interconnected economic damages based on the National Interstate Economic Model (NIEMO) and the temporarily lost jobs using Census data during the first 4 days caused by Hurricane Sandy. By tracing Sandy’s moving path from Florida to New Hampshire, it was found that Sandy had brought another tragedy mainly to the NYC and Long Island areas, reaching $2.8 billion in 4 days with 99% of the loss occurring in the last day of Sandy. Furthermore, the national impacts attained $10 billion losses according to the NIEMO analysis. Technological innovation that may support various mitigation and prevention policies would reduce the economic losses, expediting recovery to the normal status of U.S. economy.
This Special Issue showcases eight articles on the emergent idea of “entrepreneurial ecosystems”. As a subject it has begun to attract early attention because it professes to realise the fundamentally social processes of entrepreneurial practice as against the cartoon-like figure of the heroic entrepreneur much–beloved of those in entrepreneurial studies and policies of a more individualistic persuasion. Furthermore, it aims to assist development of coherence in the field of study occasioned by the great variety of forms and labels given to small and micro-businesses consequent on the erosion in scale and scope of many traditional large enterprises. A further introductory point to be made is that many of the articles on display originate in South Korea where the attenuation of large corporate actors, stagnating national growth rates and government support for entrepreneurship have been one response to the crisis. Hanjin is merely one of the recent casualties of the faltering of globalisation for the South Korean corporate sector, beneficiary of major port-related innovation investment in the past as the South Korea – China comparison paper reveals. Other papers anatomise “platform ecosystems” in ICT applications, green urban policies, clusters, creative industry and regional development. All of these impinge upon government support for entrepreneurial efforts to grow a more social economy and, indeed, economic sociology and geography of regional and national growth.
Green-city innovation uses industrial and entrepreneurial ecosystems that can reduce environmental and ecological risks and achieve sustainable urban development without degrading urban environments. In a city, entrepreneurship ecosystems include start-ups and supporting networks of coordinating entities which contribute to economies of scale; however, these systems may make a city’s green environment worse, by contributing to air or water pollution. Even though there is a widely held perception of an adverse relationship between urban economic performance and urban environmental conditions, green-city development involving clean industries can be a way to attract employees without affecting urban environments negatively. However, there is a dearth of empirical studies that examine how such a green-related innovative entrepreneurial system could become a growth engine of cities. This paper examines whether a greener city can contribute to the economic prosperity of the city. A two-stage econometrics approach is the method applied, using data from 2000 and 2005. This paper contributes to the field by distinguishing concerns about urban environments in green cities from concerns about economic performances related to innovative and entrepreneurial ecosystems.
infrastructure, such as seaports or navigable ports through rivers or lakes. Adapting to the globalization process, which has brought speeder changes, requires developing strategic operation in order for port management to survive in the internationally competitive urban systems. The port-dependent urban areas need to integrate their economic activities into the scope and complexity of city services and commodity activities in order to convey international trade more efficiently. This paper delivers what components need to be considered to understand the maritime shipping route changes and what types of methods have been applied to measure the changes from the Panama Canal expansion. While it is still important to build a sophisticated state-of-the-art model to conduct empirical analysis, this paper only discusses what the expected changes would occur on both the West Coast and South East Coast ports, specifically the Port of New York and New Jersey (PNYNJ) with various limitations. Simultaneous responses to the economic impacts on the other states of the U.S. made it difficult to forecast the economic effects on PNYNJ of the Panama Canal expansion. While the West Coast ports or major ports in Southeast Asia may experience a potential reduction in trade volume, they may inversely improve the utility of these ports; still, it is not easy to predict the change quantifiably. The international port authorities and policy makers, at national and local levels, who are responsible for developing seaport plans on the new realities of the Canal expansion and in the context of global maritime shipping, also need to understand changes in various inter-connected behaviors related to shipping, trucking and rail-related companies. This is because these behaviors may affect the choice of logistics, labor costs, and
the status of economic and transport hubs. Finally, this study demonstrates the necessity of developing plausible scenarios that account for the investment strategy of the PNYNJ.
Adapting to the rapid process of globalization requires nodes of international trade and global financial operations conveyed in the world urban system. Urban and metropolitan areas need to strategically approach to incorporating the city economic activities to enlarge the scope and complexity of the city service and commodity. Because strong urban agglomerations usually lead to technological innovation, investigating the relation between the expansion of Panama Canal and its state and regional economic impacts that will be potentially affected within the U.S. can provides various policy insights in urban growth and technical innovations for the local areas. This study estimated reduced impacts of transportation and warehousing activities for foreign imports and exports for the west coast seaports of California, Oregon, and Washington as well as the concurrent impacts in other states stemming from the trade diversion in their direction, which will affect urban growth and innovation. We applied both the supply- and demand-side National Interstate Economic Models. We assumed that foreign imports and exports that currently arrive and leave the west coast customs district ports and are now transported to other U.S. Southern and East Coast states by truck and rail modes would be directly shipped to these other states via the deepened and expanded Panama Canal. The total negative impacts of transportation and warehousing values lost in the three west coast states from foreign import diversion were estimated to be $5795 million; for foreign exports, $1630 million. However, total positive gains due to the shift of transportation modes and new warehousing activities for foreign imports in the other states were estimated at $6304 million, while the gains were $9218 million for the case of foreign exports. The net impacts resulting from port modernization investment and shipping route changes will be an economic engine to affect U.S. states.
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The demise of a traditional society and the rise of the modern are an unavoidable stream in the era of globalization. It is easily verified that many local areas of developing countries are quickly adopting a dominant globalized development process as they become involved in an international network society; the transformation mostly accompanies the abandonment of their local, but traditional, inestimable space values switching to a modern place that would lose unique originalities the place has been remembered. This study tried to answer two issues: firstly, how should globalization be interpreted in this modern era? Is it a process to adopt the major streams fashioned as globalization? Or is it a process to adapt to its own environment creating their own style evolved from their own needs. Addressing the first question, secondly, this study tried to address with what process these two actions can be reconciled to the globalization of local spaces. This study proposed a Double-A approach to progress to modern network society, which is useful not only for developed local areas, but also more necessary for developing local areas which intend to find the coordinates to attain their development level and, at the same time, maintain their amenity. While the Double-A framework discussed in this study suggests a roadmap to indicate where local areas move toward, the arrival through a Double-A framework should not be understood as the end for local globalization, but the start for new globalization. This is because reconciliation between the developed and the developing, between the space of flows and space of places, and between adoption and adaptation has been proven throughout our history.
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This study intends to explain how the fourth industrial revolution on the urban and rural space, using descriptive statistics and urban economic models in order to propose a useful measure for new regional development strategies. The Korean regional development strategy that has centered massive resources on a particular region has led it grow and become a big city, inducing large migration of the rural population to the city. Experiencing hollow villages due to out-migration of the rural population, at the same time, the aging of the rural areas and the lack of basic infrastructure facilities have been threatening the existence of rural areas. Technological advances from the fourth industrial revolution can alternatively reverse this experience, revitalizing rural areas and resolving spatial and regional inequality between urban and rural areas. This is possible if the fourth industrial revolution contributes to alleviating the disparity of regional utility between urban and rural areas. If successful, it is highly expected that population migrating to a city as a result of the utility difference will experience reverse migration to rural areas. In addition, IoT and 3D-printing technologies will expand the flow of goods and service, which was mostly constrained by physical space, to the non-physical space; these technologies will lead contribute to increasing both the utility of urban and rural areas. To prepare the new era of digital transformation, local and central governments as well as other private firms and stakeholders need to collaborate for the future regional development strategies.
전 세계적으로 기후변화가 심화되고 있다. 이에 효과적으로 대응하기 위해서는 기후변화로 발생할 수 있는 위험과 재난의 발생가능성을 예측하여 사회·경제·문화·환경 전반에 미치는 영향을 보다 세밀하게 평가할 필요가 있다. 본 연구는 재난발생에 따른 경제성 피해를 평가할 수 있는 개념적 모형을 제시하여, 한반도 재난관련 빅데이터와 기후변화 시나리오를 통합하고, 재난발생가능성에 따른 경제적 파급효과를 정밀하게 정량화 하고자 한다. 재난발생의 경제성평가를 위한 여러 정량적 모형들이 통합적으로 구동될 수 있는 경제성평가 통합모형의 개념적 개발을 연구의 목적으로 한다. 이를 위해, 첫째, 여러 문헌과 사례를 바탕으로 현재까지 자연재난의 경제적 평가모형을 조망한다. 둘째, 이를 바탕으로 기후환경 리스크의 경제성평가 개념모형을 제안한다. 셋째, 제안한 개념모형의 실질적 구축방안에 대해서 논의하여 완성된 개념모형을 개발한다. 이러한 경제성평가 개념모형은 다양한 정책적 제안들의 평가를 바탕으로 국가 재난대응역량을 고도화하기 위한 재난안전 연구개발 종합계획에 기초자료로서 활용될 수 있다. 또한 자연재해가 국경을 초월하는 특성상, 여러 나라에 전파하여 일관성 있는 글로벌 평가시스템을 구축할 수 있다는 점에서 선진적 표준화에 앞장설 수 있다
본 연구의 목적은 기후변화에 대응하기 위한 도시지역의 재해 피해 위험도를 산출하여 재해에 대비한 도시환경의 영향과 문제점을 정량화하고 재난 발생에 대비한 정책 평가 지표를 개발하는 데 있다. 이를 위해 서울시를 대상으로 홍수에 대한 도시환경의 적응 역량과 기준을 평가하고 지표화하여 재난 발생 시 위험도를 파악할 수 있는 도시환경 평가지표를 개발하였다. 본 연구에서는 도시환경의 위험도 평가지표를 그레이 인프라와 그린 인프라로 구분하여 홍수 재난 발생에 대한 위험도를 측정하였다. 홍수에 대한 도시환경의 위험도를 정량적으로 분석한 결과에 따르면, 서울시의 서부 지역인 강서구/양천구/금천구/구로구 지역, 동남부 지역인 송파구/강남구 지역과 동북부 지역인 동대문구/중랑구 지역이 홍수 위험도가 높게 나왔다. 이에 따라 서울시의 경우 이 지역들에 대해서 홍수에 대비한 장기적 홍수 재난 정책 도입이 긴요한 것으로 파악되었다.
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This study empirically studies the effects of Agricultural Technology Service Center’s educational program for farmers on their incomes. The educational program for farmers has widely been managed in discourse and policy in Korea. In 2008, Agricultural Technology Service Center managed 88 educational program for farmers, where 6,409 farmers received a certificate. While there are important studies, most of them have concentrated on qualitative analysis and noneconomic effects to an educational program for farmers. This study tried to analyze whether or not there is an economic effect of an educational program for farmers, focusing on the relationship between the educational program for farmers and their income status. Multilevel models (or hierarchical linear models) were applied to this study. Multilevel model is a quantitative model of parameters that vary at more than one level and show hierarchical structures between levels. This study particularly accentuates that an educational program for farmers is more meaningful when it can raise farmers’ incomes by region and by educational program for farmers
지역경제의 상호작용과 그 영향력에 대한 연구에서, 각 산업별 지역 간 경제교역량의 직접적인 조사는 매우 중요하다. 특히, 직접 조사는 지역 간 산업연관모형(Interregional 혹은 Multiregional Input Output Model; IRIO 혹은 MRIO)을 구성하는 기본 항목이므로, 일본이나 EU 등에서는 이미 광범위하게 시행되고 있다. 우리나라의 경우, 현재 한국은행에서 5년 주기로 발간되는 국가 차원의 산업연관표 및 최근에 공포된 2003년 기준 6개 광역권에 대한 IRIO모형이 있을 뿐, 지역 단위의 직접조사는 거의 이루어지지 않았다. 이로 인해, 특히 미국에서 활발하게 진행되고 있는 특정 지역에서 발생한 자연재해나 테러 등에 따른 국가적 피해와 그 재해로 인한 다른 지역들의 경제적 파급충격, 또는 그 예상되는 피해규모에 따른 공적자금의 지역 배분 문제와 같은 다양한 정책적 이슈들을 공론화하기 힘들다. 본 연구는 따라서, 16개 시ㆍ도 수준의 16개 산업별 지역내총생산을 기반으로 하여, 각 지역의 총생산에 필요한 투입물의 원산지역, 즉 이입량을 추정하는 방식을 통해 각 지역 간 경제교역량을 추정하고자 한다. 본 연구가 비록 16개 산업의 16개 시ㆍ도지역 간 경제교역량의 추정에 한정되나, 차후 이 연구를 통해 지역 간 산업연관모형의 개발, 각 재화별 교통량 추정, 혹은 시계열 분석을 통해, 한국 시ㆍ도지역 간 경제교역량의 변화추이를 발견하여 이에 대한 산업별 정책 등을 제안할 수 있는 등, 다양한 분야로 연구가 지속될 수 있을 것이다
본 연구는 정부가 농외소득증대 정책의 일환으로 1980년대 중반부터 시행해온 한국관광농원개발사업을 분석하고, 사업의 지속성 여부에 따른 존속 여부의 원인과 경과 및 시사점을 밝혀 바람직한 미래 농촌관광의 토대로 삼는 것을 주요 목적으로 하고 있다. 본 연구의 분석 결과를 요약하면 다음과 같다. 경로분석을 통한 간접효과의 측정에 있어서 특색성은 투자수익에 부(-)의 효과를 주지만 시설물이나 자연경관과 지역적 특색은 매출증가에는 정(+)의 효과가 있는 것으로 분석되었다. 이 결과는 관광농원이 지니고 있는 양면성을 그대로 보여주는데, 시설투자와 경관유지를 통해 관광매력을 생산해야 한다는 사실과, 생산자의 생산 및 비용함수가 투입 생산요소들만의 함수가 아니라는 것을 동시에 보여주고 있다. 경제적 지속성을 결정하는 변인들 중, 상환능력, 호당소득, 농산물 판매액, 등이 직접효과와 간접효과를 통해 경영평가에 중요하게 작용한다는 것이 드러났다. 시설물, 농촌체험, 입식면적, 입식 다양성 등과 같이 환경적 지속가능성을 결정하거나 관광농원의 매력(attraction)을 구성하는 변인들은 직-간접적 효과를 통해 관광농원의 지속가능성에 중요하게 작용한다는 것을 알 수 있었다. 입식특색성은 투자수익에는 부(-)로 영향을 주어 간접효과는 (-)이지만 직접효과는 정(+)으로 경영평가에 영향을 주었으나, 입지조건이나 기타 변인들은 비교적 관광농원의 지속가능성에 큰 영향을 주지 않는 것으로 분석되었다. 본 연구에 따른 정책적 시사점은 다음과 같은 2가지로 요약된다. 첫째, 관광농원 사업지침 효율성 평가를 통해 밝혀진 문제점 제시로 기타 농림부 사업 평가에 필요한 새로운 평가지침이 마련될 필요가 있다. 최초 농림부 내부에서 논의된 최초의 지표 및 지침들에 대한 평가의 결과는 농림부가 시행한 관관농원의 평가척도가 관광농원의 지속성여부를 효율적으로 측정하지 못하고 있는 것으로 드러났기 때문이다. 둘째, 추후 실시될 농림부사업에 대한 평가지침에서는 본 연구에서 밝혀진 변인들에 대한 비중이 감안될 필요가 있다. 이러한 적용은 실증분석을 통해 기 실시된 사업의 타당성을 분석했다는 측면에서 농림부 농촌개발사업의 효율적인 사업수행으로 귀결될 수 있으리라 기대된다
The present study concerns on the impact of unemployment differentials between urban and rural regimes on social costs of unemployment. With a two-regime switching regression model that is free from migration selection bias, we construct a methodology to estimate the aggregate costs caused by urban and rural migrations. Combining the 1995 census with several area data, we construct two models (migration and employment opportunity) to calculate hypothetical employment opportunities in urban and rural areas. We found that the total cost per annum caused by urban and rural migrations is more than 56 billion Won, which implies that sustaining rural economic viability may save the money otherwise wasted. The present study concludes with suggestions for refining and developing the methodology to enhance the use of rural resources not fully utilized before.
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