money supply m1 is the sole endogenous variant. its growth does not directly lead to the movement of price level, but indirectly influences it through total social real fixed investment.

the analyses show that arima ( 1, 1, 10) provides comparatively precise estimation results, which can offer a reasonable basis for shanghai social fixed assets investment.

结果显示，ARIMA（1,1,10）模型提供较准确的预测效果，可用于未来的预测，并为上海市全社会固定资产投资提供可靠依据。

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the results showed: ( i) the per capita gdp is the main driving factor of per capita co2 emissions, the energy consumption structure and the fixed asset investment ratio also have great influence on per capita co2 emissions.

结果显示：（1）人均GDP是人均二氧化碳排放的主要驱动因素，能源消费结构和固定资产投资比率对人均二氧化碳排放的影响作用也较大。

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every 1% growth of investment in fixed assets is accompanied by 1.8% increase in its gdp. the contribution made by investment in fixed assets is two fold of consumption to the economic growth of heilongjiang province.

当黑龙江省的固定资产投资每增加1%，则黑龙江省的GDP相应增加1.8%，固定资产投资对黑龙江省经济增长的贡献是消费对黑龙江省经济增长贡献的两倍还多。

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the relation between the total investment in fixed assets, the total investment in construction and installation and gdp of liaoning province anshan is studied by using co-integration, and establishes a dynamic equilibrium model.

运用协整理论对辽宁省鞍山市固定资产投资总额、建筑安装投资总额和GDP之间关系进行研究。

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and the kpi derived from the corporation strategy is built on the base of the corporation mission, exterior influences and internal operations.

而由企业战略目标分解而来的企业级KPI是基于企业使命远景、外部环境影响及内部运营情况制定的，以此作为固定资产投资管理的导向，能为固定资产投资提供管控的依据和目标。

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by cointegration and vector error correction model method, long-term equilibrium relationships among power consumption and economic factors including gdp, the investment scale of fixed assets, population scale in china are analyzed.

利用协整分析与向量误差校正模型的研究结果，证明中国电力消费与GDP，固定资产投资，人口数量等经济因素间具有长期的均衡关系；

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then it establishes panel data model in the three regions, thinking energy consumption structure, fixed assets investment, industrial structure, economic system, resident consumption expenditure, science and technology innovation expenditure as six variables which influence energy use efficiency.

最后分别对这三个区域建立了PANEL DATA模型，将能源消费结构、固定资产投资、产业结构、经济体制、居民消费、科学技术创新这六个变量作为影响能源使用效率的因素。

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the conclusions are as follows: the fdi volume in proportion to the social capital assets indicates that it accelerates the formation of chinese capital and improves the quality of chinese assets.

通过分析有如下结论：FDI流量占全社会固定资产投资的比重指标表明FDI的流入促进了中国的资本形成，极大地改善了中国的资产质量；

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official data indicate that chinese households consumed just 36 per cent of gdp in 2008, while gross fixed capital formation amounted to 47 per cent of gdp.

官方数据显示，2008年，中国家庭消费仅占GDP的36%，而固定资产投资占到了47%。

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from this model, the construction investment elasticities of gdp are calculated and it seems that they are all much higher than their shares in gdp.

从模型分析的结果显示，无论是固定资产投资，还是建筑安装投资，GDP对它们的弹性系数都大大超过它们各自在GDP中所占的比重。

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other positive contributions to gdp growth included consumer spending, 1.7 percent; fixed investment, 1.6 percent; and net exports, 0.2 percent.

对GDP的增长作出积极贡献的其他因素包括消费者支出，增幅为1.7%；固定资产投资，增幅为1.6%；以及净出口，增幅为0.2%。

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the econometrics analysis of the relationship between fixed assets investment and cpi in chongqing municipal

重庆市固定资产投资与CPI的协整关系

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the theory of constraint used in fixed-assets investment

TOC在固定资产投资决策中的应用

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arima model analysis and prediction of china's fixed assets investment

我国固定资产投资的ARIMA模型分析与预测

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gdp, fixed assets investment and the industrial added value can be good indicators and predictions for fluctuations of monetary structure.

GDP、固定资产投资和工业增加值等经济指标能够较好的反应货币结构指标的变动，对货币结构提供较好的预测。

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an empirical study of fixed assets investment by ecm

ECM模型对固定资产投资的实证分析

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simulation and prediction of anhui's fixed assets investment total based on rbf neural networks

RBF神经网络在安徽省固定资产投资总额预测中的应用

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the empirical study on the effect of fdi on investment in fixed assets in jiangxi.

测算了FDI对江西省固定资产投资供给的影响，并与中部五省进行了横向比较。

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sd model of inner mongolia state owned industrial fixed assets investment

内蒙古国有工业固定资产投资运行的SD模型

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the arithmetic of optimization in investment of fixed assets based on erp system

基于ERP系统实现固定资产投资最优的算法

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