• Title/Summary/Keyword: 수출량

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Effect of Soil Heating on Lateral Shooting in White Spined Cucumber. (지중가온이 백침계 오이의 측지 발생에 미치는 영향)

  • 이상규;성기철;김광용;고관달
    • Proceedings of the Korean Society for Bio-Environment Control Conference
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    • 2001.04b
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    • pp.71-72
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    • 2001
  • 최근 수출오이의 재배 면적이 계속증가 추세에 있어 '99년 현재 143ha에 달하고 있다. 그러나 수출오이는 국내 오이와 재배방법이 상당히 달라 국내 오이는 주지착과형이지만 수출오이는 측지착과형으로 측지의 발생여부에 따라 수확량의 차이가 심하다. 따라서 수출오이의 성공여부는 측지발생을 어느정도 시키느냐에 달려 있다고 해도 과언이 아니다. 그런데 수출오이의 재배시기는 우리나라에서 재배환경이 가장 불량한 겨울철(10-2월)로, 저온 및 투광량 부족 등으로 인하여 측지발생율이 매우 저조하다. 따라서 본 시험은 수출오이의 측지 발생율을 높이고자 지중가온기 설치 여부에 따른 효과를 구명하고자 실시하였다. 그 결과, 생육(Table 1)은 접수의 줄기 직경이 지중가온 처리시 10.22mm로, 무가온의 8.64mm보다 굵었고, 엽장과 엽폭에 있어서도 지중가온 처리가 무가온 처리보다 좋았다. 곡과 발생수에 있어서도 지중가온 처리는 주당 0.73개가 발생하였으나, 무가온은 1.26개가 발생되어 지중가온 처리시 무가온에 비해서 생육이 좋아지고, 곡과 발생이 적었다. 주당 측지발생수(Table 2)는 지중가온구가 13.7개였고, 무가온구는 11.7개로 지중가온을 하면 측지발생수가 증가함을 알수 있었다. 또한 상품수확과수에 있어서도 지중가온구는 주당 45개인데 반해 지중무가온구는 38개였으며 따라서 전체적인 수량이 10a당 8,100kg으로, 무가온구의 6,840kg보다 18%의 증수효과가 있었다. 따라서 수출오이재배시 지중가온을 하면, 측지발생수가 증가하고 특히 장측지(Fig. 1)가 다수 발생하여 측지 수확과수가 증가하며, 곡과 등 기형과 발생이 감소하여 상품수량이 증가되므로써 기존 지중 무가온 재배에 비해 14% 소득향상 효과를 기대할 수 있다.시 생장이 둔화되었다. 밀폐시킨 삼각플라스크에서 자라는 Cell은 상태도 좋지 않고 전반적인 증식량도 적었다. Cell은 환기정도에 민감한 것으로 판단되며 삼각플라스크에서 약 35일 정도의 생장 주기를 가지는 것으로 사료된다. 배양 3주까지는 플라스틱 뚜껑으로 밀폐시킨 bottle에서 가장 많은 체세포배를 얻었다. Air filter를 달아 2일 마다 신선한 공기를 넣어 주었을 때는 배의 발달이 많이 늦어져 배양 3주째에 다른 처리보다 배의 수가 훨씬 적었다. 체세포배가 발달하는 동안에는 산소를 많이 요구하지 않으나 성숙하는 동안에는 산소를 많이 요구하는 것으로 생각된다.적인 것으로 나타났다. 다만, 곡선형은 물론 직선형에서도 열교환 튜브의 배치밀도, 튜브 길이 및 두께 등의 변화에 따른 최적화 연구가 수반되어야 할 것으로 판단된다.에서 제공된 API는 객체기반 제작/편집 도구에 응용되어 다양한 멀티미디어 컨텐츠 제작에 사용되었다.x factorization (NMF), generative topographic mapping (GTM)의 구조와 학습 및 추론알고리즘을소개하고 이를 DNA칩 데이터 분석 평가 대회인 CAMDA-2000과 CAMDA-2001에서 사용된cancer diagnosis 문제와 gene-drug dependency analysis 문제에 적용한 결과를 살펴본다.0$\mu$M이 적당하며, 초기배발달을 유기할 때의 효과적인 cysteamine의 농도는 25~50$\mu$M인 것으로 판단된다.N)A(N)/N을 제시하였다(A(N)=N에 대한 A값). 위의 실험식을 사용하여 헝가리산 Zempleni 시료(15%$S_{XRD}$)의 기본입자분포로부터 %$S_{XRD}

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Exchange Rate Volatility and Bilateral Trade Flow: Evidence from China (환율 변동성과 양자 무역 흐름: 중국을 중심으로)

  • Li Qing;Sang-Whi Lee
    • Korea Trade Review
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    • v.48 no.4
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    • pp.47-66
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    • 2023
  • Our study aims to explore the impact of China's foreign trade policy measures on the real exchange rate movement. We seek to provide specific references for the formulation of exchange rate and trade-related strategies. Our results indicate that China's bilateral trade is significantly influenced by movements in the Real Effective Exchange Rate (RER). When analyzing the relationship between aggregated trade flow and exchange rate movements, this paper finds that the depreciation of the real exchange rate leads to an increase in China's export volume and a slight decrease in its import volume. Moreover, China's export volume exhibits higher sensitivity to exchange rate volatility compared to the exchange rate level. Furthermore, the empirical findings regarding disaggregated trade flow suggest that different goods are affected differently by exchange rate movements. Capital goods and consumer goods, being in different stages of processing, show no negative impact on their import and export due to exchange rate depreciation. Consequently, we recommend deepening the industry's reform by improving production efficiency and transitioning the industrial structure to a higher processing stage. This approach can effectively reduce the negative impact of exchange rate depreciation.

Predicting the Future Price of Export Items in Trade Using a Deep Regression Model (딥러닝 기반 무역 수출 가격 예측 모델)

  • Kim, Ji Hun;Lee, Jee Hang
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.10
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    • pp.427-436
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    • 2022
  • Korea Trade-Investment Promotion Agency (KOTRA) annually publishes the trade data in South Korea under the guidance of the Ministry of Trade, Industry and Energy in South Korea. The trade data usually contains Gross domestic product (GDP), a custom tariff, business score, and the price of export items in previous and this year, with regards to the trading items and the countries. However, it is challenging to figure out the meaningful insight so as to predict the future price on trading items every year due to the significantly large amount of data accumulated over the several years under the limited human/computing resources. Within this context, this paper proposes a multi layer perception that can predict the future price of potential trading items in the next year by training large amounts of past year's data with a low computational and human cost.

A Study on the Export Performance Factors of Korean Steel Products to the EU and the Expected Changes in Exports Following the Implementation of CBAM (한국 철강 제품의 EU 수출 성과 요인과 CBAM에 따른 수출 변화 예상에 관한 연구)

  • Jai-Heon Leem;Yoon-Say Jung
    • Korea Trade Review
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    • v.48 no.4
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    • pp.209-232
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    • 2023
  • This study aims to estimate the export performance factors of Korean Steel Products to the EU and the expected changes in exports according to the CBAM(Carbon Border Adjustment Mechanism). the factors influencing the export performance of Korean Steel Products to the EU were analyzed using a Gravity Model, and the expected export amount in the case of a Carbon Tax was calculated assuming that the CBAM would be implemented in 2026, As a result, it was empirically analyzed that economic growth, population growth, exchange rate and manufacturing production index of each EU country have a positive effect on exports in Korea, and it was analyzed that the effects of the single market and system due to the EU's economic community were also helpful in increasing exports but the Carbon Tax is imposed in 2026, reducing Korea's steel exports by about -3.6% to -5.7%

Import Demand in Developed Economies & Korean Exports (선진국 수입수요가 우리나라 수출에 미치는 영향)

  • Choi, Moon Jung;Kim, Kyung Kuen
    • Economic Analysis
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    • v.25 no.1
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    • pp.34-65
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    • 2019
  • This paper investigates the effects on Korean exports of demand in developed economies, and how these effects have changed since the global financial crisis. As a measure of import demand, we use import intensity-adjusted demand to take into account heterogenous import intensities across components of aggregate demand. Our estimation of a dynamic panel regression model reveals that Korea's exports to the G7 countries were elastic with respect to the import demand of these countries until the global financial crisis, but have shifted to become inelastic since. Furthermore, we separately estimate the effects of the different components of the G7 countries' aggregate demand (private consumption, public consumption, investment and exports). The results show that the decrease in private consumption in the G7 countries during the crisis had a significant impact in causing the decline in Korea's exports to them, but that the increase in their public consumption since the crisis has had a significant effect on driving increased Korean exports to them. The effects of the G7 countries' exports on Korea's exports to them remain positive and significant during both the pre- and post-crisis periods. The effects of the G7 countries' investments on Korea's exports are also positive and significant, but the positive effect has weakened since the crisis. Our findings suggest that the overall effect of changes in the G7 countries' import demand on Korea's exports to them has weakened compared to the pre-crisis period.

A Study on the Correlation Analysis of China's IC Industry Profit and R&D Expenditure, New Products Development Costs and Annual Export Volume (중국 IC산업의 산업이익과 R&D 지출, 신제품 개발비 및 연간 수출량의 상관관계 분석)

  • Guo, Tian-Jiao;Yang, Jun-Won;Kim, Hyung-Ho
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.159-170
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    • 2019
  • IC industry is one of the foundation and core industries of modern information industry. Therefore, the study of this industry has important theoretical and practical significance. The main purpose of this study is to measure the degree of close correlation between the two indexes through correlation analysis of the selected indicators, so as to study the development trend and direction of IC. Based on the theory of induced innovation and the theory of comparative advantage, this paper analyzes the correlation between the profit of the IC industry and the following three indicators by using chart analysis method, covariance analysis method and correlation coefficient analysis method. These three indicators are R&D expenditure, new product development costs and annual export amount of IC. The selected data are mainly from CHINA STATISTICS YEARBOOK ON HIGH-TECHNOLOGY INDUSTRY. Through the research, it is found that the profit of China's IC industry is positively correlated with the first two indicators and negatively correlated with the annual export amount.

An Estimation and Decomposition of CO2 Emissions Change in Korea Industry, 1990~2000 Using a Hybrid Input-Output Model and Structural Decomposition Analysis (환경 혼합 산업연관모형을 이용한 산업별 이산화탄소 배출량 추정과 변화 요인 분석)

  • Choi, Han Joo;Lee, Kihoon
    • Environmental and Resource Economics Review
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    • v.15 no.1
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    • pp.27-50
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    • 2006
  • We estimate $CO_2$ emissions in Korea industry, 1990 and 2000 using a commodity- by-industry IO model ($CO_2$ hybrid IO mode]). Estimated $CO_2$ emissions in industries include both $CO_2$ emissions from direct and indirect consumption. The results show that total $CO_2$ emissions has increased by 51.6 million TC (Tonne of Carbon) from 64.4 million TC in 1990 to 115.5 million TC in 2000. By applying the structural decomposition analysis technique, we decompose change of $CO_2$ emissions in Korea industry between the period 1990~2000. In the decomposition, we figure out two contributing factors, changes in $CO_2$ coefficient and changes in final demand. The latter is further decomposed as growth effects and structural effects. We also estimated each factor's contribution to the changes in $CO_2$ emissions in industries between 1990~2000. The analysis can be used as a useful resource for policy makers in improving the effectiveness of $CO_2$ emissions mitigation policy.

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