系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2013年
10期
2513~2523
,共null页
Leontief逆矩阵 消耗系数 生产时滞 时间序列 投入产出技术
Leontief逆矩陣 消耗繫數 生產時滯 時間序列 投入產齣技術
Leontief역구진 소모계수 생산시체 시간서렬 투입산출기술
Leontief inverse; input coefficients; production delay; time-series; input-output technique
Leontief逆矩阵是投入产出模型的核心,常用以计算部门间拉动关系以及最终需求变动的影响.经典的Leontief逆矩阵完全没有考虑传导过程所需要的时间,但由于部门内部生产周期和部门间流通周期的存在,使其在有限期间内对部门间拉动效应作出不切实际的估计.本文研究部门内部存在生产时滞时,部门间需求拉动的水平与传导规律,即Leontief逆矩阵的形式.以生产周期作为生产时滞的度量指标,并建立生产周期特征矩阵对部门分类.按照给定时段实现的需求系数和诱发的需求系数间的转换关系进行上下时序问变量的迭代,得到各时段的完全需求系数.迭代变量包括:①实现的需求系数;②完全需求系数;③诱发的需求系数.模型应用的效果在于合理的生产周期的设定.
Leontief逆矩陣是投入產齣模型的覈心,常用以計算部門間拉動關繫以及最終需求變動的影響.經典的Leontief逆矩陣完全沒有攷慮傳導過程所需要的時間,但由于部門內部生產週期和部門間流通週期的存在,使其在有限期間內對部門間拉動效應作齣不切實際的估計.本文研究部門內部存在生產時滯時,部門間需求拉動的水平與傳導規律,即Leontief逆矩陣的形式.以生產週期作為生產時滯的度量指標,併建立生產週期特徵矩陣對部門分類.按照給定時段實現的需求繫數和誘髮的需求繫數間的轉換關繫進行上下時序問變量的迭代,得到各時段的完全需求繫數.迭代變量包括:①實現的需求繫數;②完全需求繫數;③誘髮的需求繫數.模型應用的效果在于閤理的生產週期的設定.
Leontief역구진시투입산출모형적핵심,상용이계산부문간랍동관계이급최종수구변동적영향.경전적Leontief역구진완전몰유고필전도과정소수요적시간,단유우부문내부생산주기화부문간류통주기적존재,사기재유한기간내대부문간랍동효응작출불절실제적고계.본문연구부문내부존재생산시체시,부문간수구랍동적수평여전도규률,즉Leontief역구진적형식.이생산주기작위생산시체적도량지표,병건립생산주기특정구진대부문분류.안조급정시단실현적수구계수화유발적수구계수간적전환관계진행상하시서문변량적질대,득도각시단적완전수구계수.질대변량포괄:①실현적수구계수;②완전수구계수;③유발적수구계수.모형응용적효과재우합리적생산주기적설정.
As the key of input-output model, Leontief inverse has usually been applied to calculate backward and forward effect and to estimate the effect of the change in final demand. Traditional Leontief inverse do not take account of the time-lag of transmission at all. Due to the existence of production cycle and distribution cycle, however, traditional Leontief inverse may generate unrealistic estimation regarding the inter-sectoral pull effects, especially in a limited period. This paper presents a new Leontief inverse formula which considers production delay. We firstly employ production cycle as the indicator of production delay, then establish a production cycle eigen matrix to represent sectors. In the following, we conduct a temporal iteration to estimate the new Leontief inverse (i.e. total requirement coefficients) for each period, according to the relationship between direct requirement coefficients and induced requirement coefficients. The iteration variables include: (1) direct requirement coefficients; (2) total requirement coefficients; (3) induced requirement coefficients. The key of model application is to set a reasonable production cycle.