數量經濟專題 的英文怎麼說

中文拼音 [shǔliángjīngjìzhuāntí]
數量經濟專題 英文
special subject of quantity economy
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 濟 : 濟名詞1. （古水名） the ji river2. （姓氏） a surname
  • 專 : Ⅰ動詞（獨自掌握和佔有） monopolize; take possession alone Ⅱ形容詞（集中在一件事上的） concentrate...
  • 題 : Ⅰ名詞1. （題目） subject; title; topic; problem 2. （姓氏） a surname Ⅱ動詞（寫上） inscribe; write
  • 數量 : quantity; quantum; amount; magnitude; number
  • 經濟 : 1 [經] （社會物質生產和再生產的活動） economy 2 （對國民經濟有利或有害的） economic; of industria...
  1. On the foundation of making deep investigations in the current medium - sized rvte of hubei, the author have pointed out the leading problems and deficiencies existing in medium - sized rvte of hubei at present. mainly showing in the following aspects : enrollment drops, it is difficult for the rvte to enroll new student ' s ; the funds are put into insufficiently, the condition for running a school is bad, teaching is of low quality ; the overall arrangement of the education structure is unreasonable, the area of the system is developed unevenly ; professional structure and course offered do n ' t meet the needs of rural economy development in new century ; the training objective is unreasonable and indifferent for the agricultural service, the content of courses is outmoded, the teaching form is single, and the link breaks away from the real agricultural production ; rural vocation education mechanism is not flexible, the ability is not cogent that run a school towards the society, . the efficiency in school management is not high

    作者在深入調查研究湖北省農村中等職業技術教育現狀的基礎上，指出了當前我國農村職業技術教育存在的主要問題和不足之處，這些問題和不足之處突出地表現在：招生人數下跌、農村中等職業學校出現了招生難；經費投入不足，辦學條件差，教學質量不高；結構布局不合理，區域發展不平衡；在專業結構及課程設置上不適應新世紀農村經濟發展的需要；培養目標定位不合理，教學內容陳舊，教學形式單一，教學環節脫離農業生產實際，為農服務能力不強；農村職校教育機制不靈活，面向社會辦學力度不大，辦學效益不高，辦學活力不強。
  2. Although economic and population specialists and scholars both in abroad and at home have made extreme progress on research the question of rural labor since they studied it very long ago, as far as china is concerned, based on the following three aspects, firstly, the national condition of our country determined that the foreign theory such as lewis theory might instruct us but we ca n ' t use these theories without rectification ; secondly, in china, our research about this question prefer the qualitative analysis to the quantitative analysis ; thirdly, the research on the labor utilization and shift in this specific area, that is, in the mountainous rural area which covers 69 % of our mainland and occupies 56 % of population is absolutely scarce in present ? to make up for the three deficiencies, this paper selects the econometrics analysis, uses investigation data and by virtue of tsp software, establishes a model where shift labor is the dependent variable and the citilization ratio, industrial structure, the income gap between city and country, the rural infrastructure construction, the labor ' s aptitude and the population ' s natural growth ratio are the variableso through economic, statistical and econometrical test, the conclusion is attained : the income gap between city and country and the citilization ratio are the two most important fectors which affect the labor ' s utilization and shift in mountainous rural area -, the rural infrastructure construction and the labor ' s aptitude are the two relative important factors which affect the labor ' s utilization and shift in mountainous rural area while the rural industrial structure and the population ' s natural growth ratio are the two least important factors according to this, this paper puts forward several suggestions that the income gap between city and country, citilization ratio, rural education, rural industrial structure and agricultural mechanization should be carefully treated with on studying the question of labor utilization and shift in mountainous rural area. finally, this paper points to several suspending problems about this research in order to get the concern of specialist and scholars

    盡管國內外經濟和人口學方面的專家與學者很早就開始了對農村勞動力問題的研究並取得了極大的進展，但是，我國在研究農村勞動力問題時，基於三點：其一，我國國情決定了國外的理論例如劉易斯理論，雖然對研究我國的農村勞動力問題具有指導意義，但卻不能照搬這些理論；其二，從國內看，我國對該問題的研究重視定性分析而定量分析明顯不足；其三，缺乏對我國占國土面積69 、人口56的山區農村這一特殊區域內的勞動力開發利用及轉移的專門性研究。為了彌補這三個缺憾，論文採用經濟計量學的數量分析方法，利用實際調查資料，藉助tsp軟體，建立了以外出勞動力數量為被解釋變量，城市化率、農村產業結構、城鄉收入差距、農村社會基礎設施建設、農村勞動力素質以及人口自然增長率六個變量為解釋變量的模型，通過對該模型進行經濟學、統計學、經濟計量學三個方面的檢驗，得出如下結果：城鄉收入差距和城市化率是影響山區農村勞動力開發利用及轉移的最重要的兩個因素；農村社會基礎設施建設和農村勞動力素質是較為重要的兩個影響因素；而農村產業結構和人口自然增長率相對來說是較不顯著的影響因素。據此，本文提出了在研究山區農村勞動力開發利用及轉移問題時，應慎重對待城鄉收入差距、城市化水平、農村勞動力素質、農村產業結構、農業機械化五個問題。
  3. Optimization design is an uptodate measure to seek the most perfect and optimum design proposal, and the mathematical principle of optimization had application in engineering design. it incorporate the speciality design theory, the optimization methods of mathematics and the computer art, accommodate a scientific design approach and a significant layout strategy for design engineering, and it can heihten design efficiency and advance designing quality. enginneering science must envisage economic construction, so it is beyond all doubt that the optimization design as the final approach of engineering development

    優化設計是把最優化數學原理應用於工程設計問題，在多個設計方案中尋找到盡可完善的或最適宜的設計方案的一種現代設計方法。優化設計集專業設計理論、數學最優方法和計算機技術於一體，為工程設計提供了一種重要的科學設計方法，能夠大大提高設計效率和設計質量。工程學科必須面向經濟建設，優化設計作為工程設計的最終目標是毫無疑義的。
  4. Taking gis software ( arc / info and arcview ) and visual foxpro as basic plat, protracted the system maps of land resource, those basic subject maps included land use status map, land types map, soil types map, grade map and soil organic substance map, combing with former summarizing research results, built the spatial basic database of land resource ; based the spatial database, by the means of attribute table manipulation and take the map plot as basic unit to get the subject attributes of basic information, combined with social economy attribute information, built the attribute database ; take the spatial basic database as basic work, by the means of vector piles to get the land resource dynamic movement system maps, included land use status, land types and soil organic substance dynamic movement map

    以gis軟體（ arc info 、 arcview ）與visualfoxpro為基礎平臺，繪制完成土地資源的系列圖，包括土地利用圖、土地類型圖、土壤類型圖、坡度圖、土壤有機質圖等基礎專題圖件，結合以前的工作成果，構築土地資源的空間本底數據庫；通過空間疊加分析，得到基礎單元圖斑，採用屬性表操作的方法獲取基礎單元圖斑的專題屬性信息，結合社會經濟屬性信息，建立屬性數據庫；以空間本底數據庫為基礎，採用矢量疊加對比分析的方法，得到土地資源動態變化系列圖，包括土地利用、土地類型、土壤有機質等動態變化圖。
  5. They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world

    在此基礎上，篩選出23個警兆指標：農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試，把糧食價格預警問題轉換成一個機器學習問題，引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法，用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。
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