• Title/Summary/Keyword: 중국 동부지역

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Analysis of the Contribution of Biomass Burning Emissions in East Asia to the PM10 and Radiation Energy Budget in Korea (동아시아의 생체연소 배출물에 대한 한국의 미세먼지 기여도 및 복사 에너지 수지 분석)

  • Lee, Ji-Hee;Cho, Jae-Hee;Kim, Hak-Sung
    • Journal of the Korean earth science society
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    • v.43 no.2
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    • pp.265-282
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    • 2022
  • This study analyzes the impact of long-range transport of biomass burning emissions from northeastern China on the concentration of particulate matter of diameter less than 10 ㎛ (PM10) in Korea using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). Korea was impacted by anthropogenic emissions from eastern China, dust storms from northern China and Mongolia, and biomass burning emissions from northeast China between April 4-and 7, 2020. The contributions of long-range PM10 transport were calculated by separating biomass burning emissions from mixed air pollutants with anthropogenic emissions and dust storms using the zeroing-out method. Further, the radiation energy budget over land and sea around the Korean Peninsula was analyzed according to the distribution of biomass burning emissions. Based on the WRF-Chem simulation during April 5-6, 2020, the contribution of long-range transport of biomass burning emissions was calculated as 60% of the daily PM10 average in Korea. The net heat flux around the Korean Peninsula was in a negative phase due to the influence of the large-scale biomass burning emissions. However, the contribution of biomass burning emissions was analyzed to be <45% during April 7-8, 2020, when the anthropogenic emissions from eastern China were added to biomass burning emissions, and PM10 concentration increased compared with the concentration recorded during April 5-6, 2020 in Korea. Furthermore, the net heat flux around the Korean Peninsula increased to a positive phase with the decreasing influence of biomass burning emissions.

Evaluation of regional Eco-Efficiency and its influencing factors in China: Based on Super-SBM and Tobit model (Super-SBM 및 Tobit 모델을 기반으로 한 중국지역 환경효율성 평가 및 영향요인 연구)

  • Yinjin Zeng;Jae yeon Sim
    • Industry Promotion Research
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    • v.9 no.1
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    • pp.259-273
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    • 2024
  • In this study, 31 provincial-level administrative regions in China from 2011 to 2021 were taken as the research objects, and the super-SBM model was used to measure the regional eco-efficiency with capital, labor, land and resource input as input variables, GDP and green coverage as the desirable outputs, and wastewater, waste gas and solid waste emissions as the undesired outputs. Tobit regression was used to analyze the effects of external environmental factors on eco-efficiency. The results showed that the average level of eco-efficiency in China was low, and the eco-efficiency in the eastern region was higher than that in other regions, and there were great differences in the western, northeast and central regions.

The Impact of Inflation on Chinese Housing Bubble -Empirical Study Based on Provincial Panel Data-

  • Gao, Feng Mu;Fan, Gang Zhi;Zhang, Yan Yan
    • Korea Real Estate Review
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    • v.27 no.1
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    • pp.33-44
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    • 2017
  • The continuously rising housing prices in major Chinese cities have raised question about whether inflation is the main reason to drive up housing price to skyrocket in recent years. Based on the provincial panel dataset of China from 2006-2014, this paper investigates the impact of inflation on Chinese housing markets within the frameworks of both static and dynamic panel data models. Our empirical results show evidence that inflation has indeed been a main force of accumulating housing bubbles in these housing markets, especially in eastern region of China. We also find an interesting phenomenon in which Chinese housing bubble is, to a certain extent, affected by market self-adjustment mechanism.

Impact of East Asian Summer Atmospheric Warming on PM2.5 Aerosols (동아시아 지역의 여름철 온난화가 PM2.5 에어로졸에 미치는 영향)

  • So-Jeong Kim;Jae-Hee Cho;Hak-Sung Kim
    • Journal of the Korean earth science society
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    • v.45 no.1
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    • pp.1-18
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    • 2024
  • This study analyzed the effect of warming on PM2.5 aerosol production in mid-latitude East Asia during June 2020 using PM2.5 aerosol anomalies, which were identified by incorporating meteorological and climate data into the Weather Research Forecasting model coupled with Chemistry (WRF-Chem) model. The decadal temperature change trend over a 30-year period (1991-2020) in East Asia showed that recent warming has been greater in summer than in winter. Summer warming in East Asia generated low and high pressure in the lower and upper troposphere, respectively, over China. The boundary between the lower tropospheric low and upper tropospheric high pressure sloped along the terrain from the Tibetan Plateau to Korea. The eastern China, Yellow Sea, and Korean regions experienced a convergence of warm and humid southwesterly airflows originating from the East China Sea with the development of a northwesterly Pacific high pressure. In June 2020, the highest temperatures were observed since 1973 in Korea. Meanwhile, enhanced warming in East Asia increased the production of PM2.5 aerosols that travelled long distances from eastern China to Korea. PM2.5 anomalies, which were derived solely by inputting meteorological and climatic data (1991-2020) into the WRF-Chem model and excluding emission variations, showed a positive distribution extending from eastern China to South Korea across the Yellow Sea as well as over the Pacific Northwest. Thus, the contribution of warming to PM2.5 aerosols in East Asia during June 2020 was more than 50%. In particular, PM2.5 aerosols were transported from eastern China to Korea through the Yellow Sea, where the warm and humid southwesterly airflows implied wet scavenging of sulfate but promoted nitrate production.

Inbound Tourism Growth and the Changing Spatial Distribution of Inbound Tourist Flows at the Regional Level in China (중국의 입국관광 성장과 입국관광객의 공간적 분포 변화)

  • Choi, Kyung-Eun
    • Journal of the Korean association of regional geographers
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    • v.16 no.4
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    • pp.400-416
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    • 2010
  • China's inbound tourism became one of the key drivers for economic growth with open-door policy in 1978 and has experienced the fast growth over the past three decades. In 2008, China, as one of the world's leading tourist destinations, is ranked the 4th globally in the number of inbound overnight tourists. Based on China tourism statistics, this paper aims to examine the growth of inbound tourist flows at the national level and the changing spatial distribution by comparing between 1995 and 2008 at the regional level (31 province-level regions) in China. In particular, the spatial distributions of tourist flows from the 6 main generating countries (South Korea, Japan, Singapore, U.S.A., Germany, and Russia) are more concretely analyzed. For five countries except Russia, with slight differences by country, while the eastern area of China is still the most popular destination and western part remains the least visited area, the central part is witnessing the increasing popularity. Russia shows an obvious difference, presenting the spatial pattern that tourist flows are mainly concentrated in the northern and the most southern part of China. This paper helps to understand the dynamics of China's regional changes from an inbound tourism perspective.

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Transformation of Strategies for Chinese Regional Development in the Post-Mao Era: From Regional Uneven To Regionally Coordinated Development In China (마오쩌둥 이후 중국 지역 발전 전략의 전환: 불균등 발전에서 권역 협업 기반의 조화로운 발전으로의 진화)

  • Lina Zhang;Sung-Cheol Lee
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.4
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    • pp.359-374
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    • 2023
  • The main purpose of this paper is to explore the relationship between the transformation of Chinese regional development policy and trends in spatial inequality in mainland China. More specifically, it has attempted to identify the effects of Chinese regional development policies on regional economic inequality by investigating the coefficient of variation and Gini coefficient with GRDP in the province level. Regional inequality in China had increased from 1979 economic reform, but has eased since the 10th Five Year Plan(2001~2005) due to large-scale state investments in the western, central and northeastern regions. However, the analysis is likely to be resulted from the national level. Trends in regional inequality are differentiated in accordance with the eastern, central, northeastern and western regions. For example, regional inequality in the central region has increased, whereas other three regions has decreased since the 10th Five Year Plan. It has played a role in cutting down regional inequality in the national level. In particular, the central region has kept inequality since the 12th Five Year Guideline. It has led to the convergence of the regional economies in the national level. It has stemmed from some limits to greater regional policies in the Central region enforced in the 11th Five Year Guideline(2005~2010).

세계의 EPS 사용 및 재활용 현황

  • (사)한국발포스티렌재활용협회
    • 환경사랑
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    • s.38
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    • pp.6-8
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    • 2004
  • EPS 총사용량은 중국이 단연 1위이며, 유럽, 미국, 일본, 한국이 그 뒤를 잇고 있다. 단열재 소비는 중국, 유럽, 미국에 이어 한국이 뒤를 잇고 있다. 수산물상자 등 식품포장재의 소비는 유럽, 미국, 일본, 중국 등의 순이다. 가전완충재인 경우 전자제품 제조공장이 인건비가 저렴한 국가로의 이전 등으로 서유럽, 일본, 한국 등의 소비가 감소하고 있고 그 대신 중국, 동부유럽, 동남아시아, 남미 국가들의 소비량이 증가하고 있다. EPS 포장재 다소비 국가 중 재활용실적이 양호한 국가는 독일 $77\%$(에너지 회수포함), 일본 $64\%$(에너지 회수 포함), 한국 $59\%$, 프랑스 $45\%$ 순이었다. 재활용방법은 일본을 제외한 아시아지역은 재생 원료 생산 위주이나, 유럽지역에서는 원료로의 재활용 외에 원원료 회수, 에너지 회수 등 다양한 재활용방법을 이용하고 있다.

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A Study on Urbanization Efficiency analysis of China's 31 provinces and cities (중국 31개 성 및 직할시의 도시화 효율성 분석에 관한 연구)

  • Zhou, Yi Xi;Jeon, Jun-Woo;Kim, Hyung-Ho
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.147-157
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    • 2019
  • The purpose of this study is to analyze the efficiency of urbanization in 31 provinces and cities in China, including both desirable and non-expected outputs produced during the urbanization process. Efficiency was analyzed by applying the SBM-DEA model using the urbanization calculation data of 2017 in 31 provinces and cities in China. The results show that the urbanization efficiency of eastern region is the highest, followed by central region and northeast region, and the urbanization efficiency of western region is the lowest. This study is meaningful in that it analyzes the efficiency of urbanization in 31 provinces and cities in China and suggests the direction of continuous urbanization policy. This study is limited in that it does not reflect the past trend only by conducting cross-sectional analysis for one year in 2017, and it is necessary to comprehensively evaluate urbanization efficiency by conducting additional longitudinal area analysis in the future.

Efficiency evaluation of nursing homes in China's eastern areas Based on DEA-Malmquist Model (DEA-Malmquist를 활용한 중국 동부지역 요양원의 효율성 평가에 관한 연구)

  • Chu, Ting;Sim, Jae-yeon
    • Journal of the Korea Convergence Society
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    • v.12 no.7
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    • pp.273-282
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    • 2021
  • Nursing home plays a role in providing elderly care in the context of China's rapid population aging, but little understanding of the efficiency of the nursing homes. In this paper, we investigated the efficiency in nursing homes using Data Envelopment Analysis (DEA) and Malmquist index (MPI) for the modeling of the number of nursing home beds, fixed assets, and medical personnel as input variables, and the number of elderly people of self-care, the number of elderly people of partial self-care, the number of bed-ridden elderly people and the income of nursing homes as output variables. Stratification analysis showed that the top two provinces in the DEA-CCR yield were Beijing and Shanghai in the five-year survey period. Four provinces (Beijing, Jiangsu, Shandong, and Shanghai) scored 1.00 in terms of DEA-BCC yield. The MPI analysis showed that Hainan ranked the highest five-year average in the included provinces. In terms of resource utilization, internal management, operation scale, and other aspects, the nursing homes in the provinces with high-efficiency evaluation results show high efficiency and technological progress, whereas the areas with low-efficiency evaluation showed a feature of the improving technical efficiency.

Logistics network and economic development in China (중국의 물류네트워크 및 경제발전)

  • Li, Kevin;Qi, Guanqiu
    • Journal of Korea Port Economic Association
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    • v.31 no.1
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    • pp.171-188
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    • 2015
  • Logistics network has been increasingly acknowledged as one of the important driving force for economic development in China. With the scope of logistics effect broadening and the development of logistics infrastructure, both logistics network and economy in terms of GDP in China has experienced rapid development hand in hand. This paper investigates the relationship between logistics network and economic growth, using a dataset covering 31 provinces over the period from 2003 to 2012 in China. Factor analysis is applied to obtain a total evaluation of logistics function defining the impact of logistics network on the national economy growth. According to fixed effect panel data approach, a significant and positive impact of logistics network on economic growth in China is found, meanwhile, a comparative analysis regarding economic development between coastal provinces and interior provinces is also conducted. The results suggest that the impact of logistics network on economic growth is higher in eastern provinces than that in western provinces. The policy implication for other nations, in particular for developing nations, is logistics network should be regarded as an important driving force for economic development, and investment should be made in advance to achieve the best efficiency in economic development and planning.