scholarly journals Impact of Innovation City Projects on National Balanced Development in South Korea: Identifying Regional Network and Centrality

2021 ◽  
Vol 10 (3) ◽  
pp. 169
Author(s):  
Jane Ahn ◽  
Ducksu Seo ◽  
Youngsang Kwon
Keyword(s):  
South Korea ◽  
Positive Impact ◽  
National Development ◽  
Eigenvector Centrality ◽  
Large Cities ◽  
Balanced Development ◽  
Seoul Metropolitan Area ◽  
Positive Externalities ◽  
Surrounding Areas ◽  
The Impact

Innovation City projects, aimed at balanced national development in South Korea, have relocated public institutions from the Seoul metropolitan area to provinces, decentralizing population and economic functions, over the past decade. This study measured changes in regional centrality (the central and local location or hierarchy of objects in a network) at the 14 cities where Innovation City projects were constructed. Commuter Origin-Destination data were analyzed using Rstudio. In the case of connectivity centrality, 13 out of 14 regions saw a rise in centrality values; among them, Busan, Daegu, and Ulsan belong to large cities. This suggests that the impact of Innovation City projects on established metropolitan areas may not be very significant. Five of the 14 projects increased the value of eigenvector centrality, while 10 increased the centrality ranking. This means that the absolute traffic volume of Innovation Cities across the country had increased, while the centrality of areas around these cities declined, suggesting that Innovation Cities should pursue co-prosperity with surrounding areas. In this way, Innovation Cities can have a positive impact on surrounding areas, and positive externalities of relocation projects are maximized. However, such development effects are confined to Innovation City areas, negatively influencing balanced regional development.

scholarly journals Impact of unemployment and income on entrepreneurship in post-apartheid South Africa: 1994–2015

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Darma Mahadea ◽  
Irrshad Kaseeram
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Employment Growth ◽  
Positive Impact ◽  
Early Stage ◽  
National Development ◽  
Entrepreneurial Activity ◽  
Per Capita Gdp ◽  
Per Capita ◽  
The Impact

Background: South Africa has made significant progress since the dawn of democracy in 1994. It registered positive economic growth rates and its real gross domestic product (GDP) per capita increased from R42 849 in 1994 to over R56 000 in 2015. However, employment growth lagged behind GDP growth, resulting in rising unemployment. Aim and setting: Entrepreneurship brings together labour and capital in generating income, output and employment. According to South Africa’s National Development Plan, employment growth would come mainly from small-firm entrepreneurship and economic growth. Accordingly, this article investigates the impact unemployment and per capita income have on early stage total entrepreneurship activity (TEA) in South Africa, using data covering the 1994–2015 period. Methods: The methodology used is the dynamic least squares regression. The article tests the assertion that economic growth, proxied by real per capita GDP income, promotes entrepreneurship and that high unemployment forces necessity entrepreneurship. Results: The regression results indicate that per capita real GDP, which increases with economic growth, has a highly significant, positive impact on entrepreneurial activity, while unemployment has a weaker effect. A 1% rise in real per capita GDP results in a 0.16% rise in TEA entrepreneurship, and a 1% rise in unemployment is associated with a 0.25% rise in TEA. Conclusion: There seems to be a strong pull factor, from income growth to entrepreneurship and a reasonable push from unemployment to entrepreneurship, as individuals without employment are forced to self-employment as a necessity, survival mechanism. Overall, a long-run co-integrating relationship seems plausible between unemployment, income and entrepreneurship in South Africa.

scholarly journals Positive Externalities from Professional Football Clubs in the Metropolitan Rhine-Ruhr, Germany: Trickle-Down Effects Associated with Promotion and Relegation

2020 ◽  
Vol 12 (20) ◽  
pp. 8638
Author(s):  
Hyunwoong Pyun ◽  
Jeeyoon Kim ◽  
Torsten Schlesinger ◽  
Luca Matto
Keyword(s):  
Positive Impact ◽  
Professional Football ◽  
Non Profit ◽  
Football Club ◽  
Positive Externalities ◽  
Football Clubs ◽  
Club Membership ◽  
Sport Events ◽  
The Impact ◽  
Trickle Down

Hosting sport events is costly, but the positive impact of hosting sport events has not been studied well. We consider the promotion of physical activity, known as the trickle-down effect, to be a new dimension of this kind of impact. Using exogenous variations in promotion and relegation in the Bundesliga 1, we test the effect of the presence of a Bundesliga 1 club on local non-profit football club membership. Using German city-level annual non-profit sport club membership data from the metropolitan Rhine-Ruhr, we group cities with experience of either promotion or relegation as treatment cities and other cities as the comparison group. Difference-in-difference analyses show that promotion (using a strict definition of promotion) of local professional football clubs increases non-profit football club membership by 14% while relegation does not affect membership. The presence of Bundesliga 1 clubs in a city increases non-profit football club membership by 11%. Falsification tests support the idea that the impact of promotion on membership results in a net increase in membership.

scholarly journals The Effect of the Comprehensive Rural Village Development Program on Farm Income in South Korea

2020 ◽  
Vol 12 (17) ◽  
pp. 6877
Author(s):  
Eunji Choi ◽  
Jonghoon Park ◽  
Seongwoo Lee
Keyword(s):  
Rural Development ◽  
South Korea ◽  
Positive Impact ◽  
Rural Households ◽  
Development Program ◽  
Farm Income ◽  
Rural Village ◽  
Ex Post ◽  
On Farm ◽  
The Impact

Faced with an aging and declining population, many governments around the world endeavor to revitalize their rural communities in a sustainable manner. In South Korea, the Comprehensive Rural Village Development Program (CRVDP) was carried out from 2004 to 2013 as a key strategy to reinvigorate rural areas. This study aims to conduct an ex-post quantitative evaluation of the effectiveness of the CRVDP in boosting rural households’ farm income. In doing so, the present study adopts quasi-experimental research design that is seldom utilized in assessing rural policies. As an alternative evaluation tool with flexibility for using readily available data, the study employed the combined application of the Heckman selection model and the Blinder–Oaxaca decomposition method. The study revealed a significant positive impact of the Program on farm income of rural households in the program-supported areas from both cross-sectional and longitudinal perspectives. A robust causal estimation of the impact of this bottom-up, multi-sectoral rural development program on farm income is achieved, which can be leveraged to widely promote similar type of rural development approach.

scholarly journals Regional contributions to particulate matter concentration in the Seoul metropolitan area, South Korea: seasonal variation and sensitivity to meteorology and emissions inventory

2017 ◽  
Vol 17 (17) ◽  
pp. 10315-10332 ◽  
Author(s):  
Hyun Cheol Kim ◽  
Eunhye Kim ◽  
Changhan Bae ◽  
Jeong Hoon Cho ◽  
Byeong-Uk Kim ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Seasonal Variation ◽  
Air Quality ◽  
South Korea ◽  
Metropolitan Area ◽  
Policy Support ◽  
Seoul Metropolitan Area ◽  
Regional Air Quality ◽  
Emissions Inventories ◽  
The Impact

Abstract. The impact of regional emissions (e.g., domestic and international) on surface particulate matter (PM) concentrations in the Seoul metropolitan area (SMA), South Korea, and its sensitivities to meteorology and emissions inventories are quantitatively estimated for 2014 using regional air quality modeling systems. Located on the downwind side of strong sources of anthropogenic emissions, South Korea bears the full impact of the regional transport of pollutants and their precursors. However, the impact of foreign emissions sources has not yet been fully documented. We utilized two regional air quality simulation systems: (1) a Weather Research and Forecasting and Community Multi-Scale Air Quality (CMAQ) system and (2) a United Kingdom Met Office Unified Model and CMAQ system. The following combinations of emissions inventories are used: the Intercontinental Chemical Transport Experiment-Phase B, the Inter-comparison Study for Asia 2010, and the National Institute of Environment Research Clean Air Policy Support System. Partial contributions of domestic and foreign emissions are estimated using a brute force approach, adjusting South Korean emissions to 50 %. Results show that foreign emissions contributed  ∼  60 % of SMA surface PM concentration in 2014. Estimated contributions display clear seasonal variation, with foreign emissions having a higher impact during the cold season (fall to spring), reaching  ∼  70 % in March, and making lower contributions in the summer,  ∼  45 % in September. We also found that simulated surface PM concentration is sensitive to meteorology, but estimated contributions are mostly consistent. Regional contributions are also found to be sensitive to the choice of emissions inventories.

Improving air quality forecasting with the assimilation of GOCI AOD retrievals

2020 ◽  
Author(s):  
Soyoung Ha ◽  
Zhiquan Liu
Keyword(s):  
Air Quality ◽  
Data Assimilation ◽  
South Korea ◽  
Positive Impact ◽  
Fine Particulate Matter ◽  
Three Dimensional ◽  
Basis Set ◽  
Upstream Region ◽  
The Impact ◽  
Air Quality Forecasting

<p>The Korean Geostationary Ocean Color Imager (GOCI) satellite has monitored the East Asian region in high temporal and spatial resolution every day for the last decade, providing unprecedented information on air pollutants over the upstream region of the Korean peninsula. In this study, the GOCI Aerosol optical depth (AOD), retrieved at 550 nm wavelength, is assimilated to ameliorate the analysis quality, thereby making systematic improvements on air quality forecasting in South Korea. For successful data assimilation, GOCI retrievals are carefully investigated and processed based on data characteristics. The preprocessed data are then assimilated in the three-dimensional variational data assimilation (3DVAR) technique for the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). Over the Korea-United States Air Quality (KORUS-AQ) period (May 2016), the impact of GOCI AOD on the accuracy of air quality forecasting is examined by comparing with other observations including Moderate Resolution Imaging Spectroradiometer (MODIS) sensors and fine particulate matter (PM2.5) observations at the surface. Consistent with previous studies, the assimilation of surface PM2.5 concentrations alone systematically underestimates surface PM2.5 and its positive impact lasts mainly for about 6 h. When GOCI AOD retrievals are assimilated with surface PM2.5 observations, however, the negative bias is diminished and forecasts are improved up to 24 h, with the most significant contributions to the prediction of heavy pollution events over South Korea. The talk will be finished with an introduction of our ongoing efforts on developing the assimilation capability for more sophisticated aerosol schemes such as Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) and the Modal Aerosol Dynamics Model for Europe (MADE)-Volatility basis set (VBS).</p>

scholarly journals The Evolvement of Rail Transit Network Structure and Impact on Travel Characteristics: A Case Study of Wuhan

2021 ◽  
Vol 10 (11) ◽  
pp. 789
Author(s):  
Jiandong Peng ◽  
Changwei Cui ◽  
Jiajie Qi ◽  
Zehan Ruan ◽  
Qi Dai ◽  
...  
Keyword(s):  
Public Transportation ◽  
Positive Impact ◽  
Empirical Studies ◽  
Demand Management ◽  
Rail Transit ◽  
Transportation Demand ◽  
Traffic Demand ◽  
Transit Network ◽  
Large Cities ◽  
The Impact

The expansion of the rail transit network has a positive impact on travel characteristics under spatial and temporal constraints by changing accessibility. However, few empirical studies have examined the longitudinal evolution of the impact of accessibility and travel characteristics. In this paper, a model of the Wuhan rail transit network is constructed and the evolution of the spatial pattern of accessibility over different periods is analyzed. The correlation of accessibility with rail transit travel characteristics is studied longitudinally to provide theoretical support for rail transit construction and traffic demand management. The study shows that: (1) Wuhan’s rail transit network has evolved from a tree to a ring, improving the operational efficiency. (2) The accessibility of Wuhan’s rail transit network has evolved into a circular structure, showing a decreasing trend away from the city center. (3) The change of accessibility greatly affects travel characteristics. The higher the accessibility, the higher the traffic volume, and the lower the travel frequency, the more residents travel during peak hours, and the shorter the travel distance. These findings are useful for gaining insight into public transportation demand in large cities, and thus for developing reasonable transportation demand management policies.

Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities

Urban Studies ◽  
2016 ◽  
Vol 54 (10) ◽  
pp. 2249-2267 ◽  
Author(s):  
Mi Diao ◽  
Yi Zhu ◽  
Jiren Zhu
Keyword(s):  
Urban Development ◽  
High Speed ◽  
Positive Impact ◽  
Property Values ◽  
Residential Property ◽  
High Speed Rail ◽  
Chinese Cities ◽  
Residential Property Values ◽  
Surrounding Areas ◽  
The Impact

In the high-speed-rail (HSR) construction boom of China, although some cities have upgraded old train stations in inner cities to be compatible with HSR, more cities have built new HSR stations on undeveloped land in the urban periphery. This study investigates the impact of intra-city access to inter-city transport nodes and explores the implications of HSR station locations for the accessibility and residential property values in Chinese cities connected by bullet trains. We find that for the cities with HSR stations in suburbs, the gains in inter-city travel brought by HSR are largely offset by the prolonged intra-city travel time to reach the stations, thus limiting frequent usage of HSR for daily commuting. The inner-city HSR station in Hangzhou shows a positive impact on residential property value in the vicinity, while the suburban HSR station in Guangzhou has not been observed to raise the residential property values noticeably in the short term despite the government’s intention to stimulate development in surrounding areas. The research findings show the need for better connections of HSR stations with the city to magnify the accessibility provided by HSR and careful integrated planning to promote desirable urban development outcomes in station areas.

scholarly journals Dwelling or house vs nature (biologically active areas)

2021 ◽  
pp. 41-50
Author(s):  
Joanna Klimowicz
Keyword(s):  
Open Space ◽  
Positive Impact ◽  
Residential Buildings ◽  
Large City ◽  
Climatic Conditions ◽  
Biologically Active ◽  
Large Cities ◽  
Global Pandemic ◽  
Green Areas ◽  
The Impact

In the current global pandemic situation, more and more people are asking themselves where it is better to live. In a house or in an apartment? Of course, opinions are divided. However facing to be closure in the residential space, more and more people have considered the possibility of buying even a small plot of land giving the opportunity to enjoy the open space and communing with greenery. Foreclosure has resulted that many people now struggling with issues of exclusion and depression. The opportunity to get out and commune with nature can have a positive impact on a person’s mood and perception of their current situation. Large city agglomerations, often deprived of sufficient green areas, are not able to provide adequate living conditions. Architects and urban planners in recent decades have been trying to provide the most convenient solutions to improve the quality of life in large cities. There are numerous green areas in cities or housing estates, often connected with water reservoirs providing better micro climatic conditions. In objects, green walls and roofs are being introduced to increase the comfort of living. It is worth to analyze a contemporary resident approach to the choice of place to live, what is better for him - a house or a flat (apartment)? Is it better to live in a house with a garden or in an apartment with a large balcony overgrown with greenery? Is it better to locate the apartment in the city center or on the suburbs, where there are larger concentrations of greenery? The issues presented in this article relate to research related to life satisfaction in houses or apartments of city dwellers, as well as they complement the research related to the observation of the impact of greenery on the leveling of the Urban Heat Island. Greenery is one of the factors improving micro climatic conditions, it is a stabilizer of temperature and humidity. Residents of selected appartments and houses were asked in what environment they would like to live and what is most important for them in terms of comfort of living. This paper will present the results of surveys and research on UHI in relation to green areas and their introduction into residential buildings. The aim of this paper is to illustrate the how important is relationship between residents’ satisfaction of living place and the biologically active areas in their vicinity.

scholarly journals Análisis del impacto reciente de las remesas en el sector de la construcción en Colombia

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Catalina Vanessa Libreros Ángel ◽  
José Nabor Cruz Marcelo
Keyword(s):  
Positive Impact ◽  
Public Policies ◽  
National Development ◽  
Economic Activities ◽  
Vector Autoregressive ◽  
Immigration Process ◽  
Development Plans ◽  
America Latina ◽  
The Impact ◽  
Econometric Technique

Introducción: A partir del año 2000 se inicia un proceso migratorio en Colombia, lo que progresivamente generó más de dos millones de colombianos residentes en el exterior en 2012, a la par, en dicho año Colombia se ubicó como el tercer país receptor de remesas de América Latina. Así mismo, se contempló en los Planes Nacionales de Desarrollo desde el 2002, una política de promoción gubernamental que consistió en encauzar las remesas a la adquisición de vivienda por parte de los propios migrantes y/o sus familias. En este sentido, las políticas públicas buscaron que las remesas cumplieran un rol funcionalista al impactar positivamente en la economía en su conjunto.Método: Por lo anterior, se estima un modelo de Vectores Autorregresivos Irrestricto (UVAR por sus siglas en inglés) con datos trimestrales para el periodo 2004.1-2013.4, con el fin de analizar el impacto que han tenido las remesas de los trabajadores colombianos residentes en el exterior en el sector de la construcción.Resultados: Se constata a través de la técnica econométrica que las remesas afectan de forma positiva e inmediata al menos durante tres trimestres a la tasa de crecimiento del producto del sector de la construcción (principalmente subsector edificador residencial) de Colombia.Discusión o Conclusión: Al obtener los resultados, éstos indican que las políticas públicas han cumplido con su objetivo de dirigir las remesas hacia actividades económicas. En este caso, se encuentra que el sector de la construcción, y consecuentemente, la adquisición de vivienda en Colombia resultaron beneficiadas durante el periodo de estudio, debido a las políticas implantadas por el Gobierno. Introduction: From 2000 an immigration process begins in Colombia, so that by 2012 about two million Colombians are residing abroad, becoming the third largest recipient of remittances in Latin America. At same time, since 2002 these remittances were included in the National Development Plans, a government policy for development consisting in channeling remittances to the acquisition of housing for migrants themselves and / or their families. In this sense, public policies sought that remittances fulfill a functionalist role and have a positive impact in the economy as a whole.Method: Therefore, an Unrestricted Vector Autoregressive (UVAR) model with quarterly data for the period 2004.1-2013.4 is used to analyze the impact that Colombian workers remittances’ have had in the construction sector.Results: It is found through the econometric technique that remittances positively affect immediately and at least three quarters the rate of growth of output in the construction (mainly residential builder subsector) of Colombia sector.Discussion and Conclusion: The results indicate that public policies have met their goal of directing remittances to economic activities. Both, the construction sector and housing acquisition in Colombia were benefited by these governmental policies during the study period.

scholarly journals Improving air quality forecasting with the assimilation of GOCI AOD retrievals during the KORUS-AQ period

2019 ◽  
Author(s):  
Soyoung Ha ◽  
Zhiquan Liu ◽  
Wei Sun ◽  
Yonghee Lee ◽  
Limseok Chang
Keyword(s):  
Air Quality ◽  
Data Assimilation ◽  
South Korea ◽  
Positive Impact ◽  
Fine Particulate Matter ◽  
Three Dimensional ◽  
Upstream Region ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
The Impact ◽  
Air Quality Forecasting

Abstract. The Korean Geostationary Ocean Color Imager (GOCI) satellite has monitored the East Asian region in high temporal and spatial resolution every day, providing unprecedented information on air pollutants over the upstream region of the Korean peninsula for the last decade. In this study, the GOCI Aerosol optical depth (AOD), retrieved at 550 nm wavelength, is assimilated to ameliorate the analysis quality, thereby making systematic improvements on air quality forecasting in South Korea. For successful data assimilation, GOCI retrievals are carefully investigated and processed based on data characteristics. The preprocessed data are then assimilated in the three-dimensional variational data assimilation (3DVAR) technique for the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). During the Korea-United States Air Quality (KORUS-AQ) period (May 2016), the impact of GOCI AOD on the accuracy of air quality forecasting is examined by comparing with other observations including Moderate Resolution Imaging Spectroradiometer (MODIS) sensors and fine particulate matter (PM2.5) observations at the surface. Consistent with previous studies, the assimilation of surface PM2.5 concentrations alone systematically underestimates surface PM2.5 and its positive impact lasts mainly for about 6 h. When GOCI AOD retrievals are assimilated with surface PM2.5 observations, however, the negative bias is diminished and forecasts are improved up to 24 h, with the most significant contributions to the prediction of heavy pollution events over South Korea.

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