Construction of Two-Region Input-output Model——A Case Study of Henan Province

On the basis of input-output table of Henan Province and China in 2007, this paper advances a simple method of constructing two-region input-output model using MRIO model, to research the economic link between the industries of Henan Province and the industries of other regions. I summarize the characteristics of this method based on this as follows: when researching inter-regional economic link, the multi-region or two-region input-output model has prominent superiority, and we can conduct preliminary estimation on the multi-region input-output model using location quotient approach.

The Influences of Energy Price Variation on the Prices of Other Industries: A Study Based on Input-Output Price Model

Energy has laid material foundation for human society during its development. Meanwhile, any change of price in the energy industry may influence social production and people’s life at all levels via an input-output mechanism under which the change related to energy is surely transmitted to other industries. The price change thus incurred in all industries may adversely affect the realization of macroeconomic objective-maintaining prices at a stable level. It is, therefore, needed to conduct an empirical research related to the impact of price change in energy industry on that in other industries. According to the data coming from “China’s 2015 Input-Output Extension Table (42 Departments)” and four hypothetical basis, this article focuses on four energy sectors and analyzes how deeply the price change of them, by use of input-output model, affects that of other industrial products under five conditions where each of their price rises by 10% individually or simultaneously, and why such an influence occurs. The results show that the price rising of the energies in question leads to an upward growth in the prices of other industrial products, especially when their prices go up simultaneously. Besides, the price increase in the four energy sectors doesn’t influence other industries in an accumulation form but actually leads to a rollback in some of other industries. It is recommended to adopt diversified pricing strategies for different energy products, thus maximizing the value of each specific energy, and meanwhile achieving the goals of energy consumption reduction and price equilibrium.

Environmental input-output model and its analysis with a focus on the solid waste management sectors

An environmental input output model (EIOM) was introduced to the regional solid waste management sectors, which can reflect the direct and indirect relations between the environment and the regional economy development. Some details about how to use the EIOM was discussed. The EIOM was applied to the Changsha City in China. The example results indicate that much useful information related to the environment and the regional economy development can be gained from the solution of the EIOM. Thus, the EIOM can be used as a useful tool for the sustainable development planning including the solid waste management sectors.

A Generalization of the Input-Output Pollution Control Model and Product Selection

The input-output pollution control model given in [1] is generalized. The generalization makes it easier for the model to handle many problem instances. A linear program is used to solve the new model. An example is given to show that the new model can handle classes of problems that the original model cannot handle.

Regional Agricultural Input-Output Model and Countermeasure for Production and Income Increase of Farmers in Southern Xinjiang,China

Agricultural input and output status in southern Xinjiang,China is introduced,such as lack of agricultural input,low level of agricultural modernization,excessive fertilizer use,serious damage of environment,shortage of water resources,tremendous pressure on ecological balance,insignificant economic and social benefits of agricultural production in southern Xinjiang,agriculture remaining a weak industry,agricultural economy as the economic subject of southern Xinjiang,and backward economic development of southern Xinjiang.Taking the Aksu area as an example,according to the input and output data in the years 2002-2007,input-output model about regional agriculture of the southern Xinjiang is established by principal component analysis.DPS software is used in the process of solving the model.Then,Eviews software is adopted to revise and test the model in order to analyze and evaluate the economic significance of the results obtained,and to make additional explanations of the relevant model.Since the agricultural economic output is seriously restricted in southern Xinjiang at present,the following countermeasures are put forward,such as adjusting the structure of agricultural land,improving the utilization ratio of land,increasing agricultural input,realizing agricultural modernization,rationally utilizing water resources,maintaining eco-environmental balance,enhancing the awareness of agricultural insurance,minimizing the risk and loss,taking the road of industrialization of characteristic agricultural products,and realizing the transfer of surplus labor force.

Nonlinear Systems Identification via an Input-Output Model Based on a Feedforward Neural Network

This paper develops a feedforward neural network based input output model for a general unknown nonlinear dynamic system identification when only the inputs and outputs are accessible observations. In the developed model, the size of the input space is directly related to the system order. By monitoring the identification error characteristic curve, we are able to determine the system order and subsequently an appropriate network structure for systems identification. Simulation results are promising and show that generic nonlinear systems can be identified, different cases of the same system can also be discriminated by our model.

Application of Linear Model Predictive Control and Input-Output Linearization to Constrained Control of 3D Cable Robots

Cable robots are structurally the same as parallel robots but with the basic difference that cables can only pull the platform and cannot push it. This feature makes control of cable robots a lot more challenging compared to parallel robots. This paper introduces a controller for cable robots under force constraint. The controller is based on input-output linearization and linear model predictive control. Performance of input-output linearizing (IOL) controllers suffers due to constraints on input and output variables. This problem is successfully tackled by augmenting IOL controllers with linear model predictive controller (LMPC). The effecttiveness of the proposed method is illustrated by numerical simulation.

APPLICATION OF FRF ESTIMATOR BASED ON ERRORS-IN-VARIABLES MODEL IN MULTI-INPUT MULTI-OUTPUT VIBRATION CONTROL SYSTEM

The FRF estimator based on the errors-in-variables （EV） model of multi-input multi-output （MIMO） system is presented to reduce the bias error of FRF HI estimator. The FRF HI estimator is influenced by the noises in the inputs of the system and generates an under-estimation of the true FRF. The FRF estimator based on the EV model takes into account the errors in both the inputs and outputs of the system and would lead to more accurate FRF estimation. The FRF estimator based on the EV model is applied to the waveform replication on the 6-DOF （degree-of-freedom） hydraulic vibration table. The result shows that it is favorable to improve the control precision of the MIMO vibration control system.

基于Input-Output模型的新疆水资源合理配置研究

根据2007和2012年新疆统计年鉴和投入产出表等相关资料,利用Input-output模型和水资源结构偏差系数对国民经济各产业的用水效率、用水效益指数等进行了分析。研究表明:2012年新疆各产业水资源利用效率和效益显著提高,但农业用水消耗量远高于其产出效益,第三产业和生态环境产业的水资源消耗呈现递减趋势。此外,工业和建筑业的水资源配置较为合理。最后,为促进新疆水资源优化配置提出了相应的对策建议。

基于模糊DEMATEL-超效率DEA的可再生能源发电技术综合效益评估方法

“双碳”目标下,各类可再生能源发电技术发展迅速,综合权衡不同可再生能源发电方案的综合效益对可再生能源的优化设计具有重要意义。综合考虑经济效益、环境效益、能源效益和社会效益4个层面,提出了一种基于模糊决策试验和评价实验(decision making trial and evaluation laboratory,DEMATEL)与超效率数据包络分析(data envelopment analysis,DEA)模型的可再生能源发电技术综合效益评估方法。该方法分为投入-产出指标体系构建和综合评估2个阶段。首先,利用三角直觉模糊数处理模糊评价信息,将其与DEMATEL相结合量化各指标之间相互影响关系,基于指标间逻辑分析结果建立投入-产出评估指标体系。然后,基于超效率DEA模型对各可再生能源发电方案进行评估排序,结合投入冗余和产出不足分析结果给出各方案的针对性改善建议,以期为进一步选择和确定可再生能源产业发展战略提供参考。最后以某省10类可再生能源发电单元为研究对象,基于所提研究方法进行综合评估和分析,并与多准则妥协解排序法和熵权法进行对比分析,验证了所提方法的有效性。

中国产业部门隐含碳生产率的驱动因素分解——基于LMDI-PDA模型的实证分析

提升隐含碳生产率是产业部门碳减排的关键。基于2002—2020投入产出数据与能源碳排放数据建立隐含碳生产率指标,利用LMDI-PDA综合分解法,系统梳理各效应、各细分产业部门对产业部门整体隐含碳生产率变动的影响。研究结论为:直接排放率效应对28个产业部门中的大部分产业部门的隐含碳生产率提升起到阻碍作用,排放能效效应以及能源资本替代效应则主要起积极作用;隐含碳生产率效应普遍推动三次产业隐含碳生产率上升,排放结构效应则阻碍第二产业与第三产业隐含碳生产率的增长,负向效应分别为-0.0166万元/吨、-0.0190万元/吨;对产业部门整体隐含碳生产率增长贡献最大的两个产业部门是其他服务业和建筑业。研究结论为加速推进产业低碳变革提供了理论与数据支撑。

一种基于甲醇制烯烃及其下游生产链的m-PIOT模型定量研究

以我国西部某化工园区的规划数据为例,通过建立甲醇及其下游产业链实物型投入产出模型,对该产业链中不同产品部门之间的相互作用进行了定量分析。结果表明:该园区甲醇下游产业链中缺乏强拉动及强支撑作用的产品部门;丙烯酸异辛酯、混合C_(4)等对产业链发展具有较强的拉动作用;原材料甲醇的感应度系数高达21.808,对整条产业链具有较强的制约性。

基于模糊n-cell数的非线性投入产出模型解的存在性

将混合单调以及耦合不动点的概念引入到模糊n-cell数空间中,给出此空间上的混合单调型不动点定理。考虑到模糊n-cell数具有表示n维不确定信息的特点,将非线性投入产出模型与模糊n-cell数相结合,建立模糊非线性投入产出模型并给出相应的平衡方程。最后利用本文中所给的不动点定理讨论此模型解存在的条件,验证模型的合理性。

TECHNIQUES OF CONSTRUCTING REGIONAL INPUT-OUTPUT TABLES: ACHIEVEMENTS

The development of any analytical method should have to experience at least four stages: its initial status, growth, mature and declining. However, although the regional input-output analysis has been widely applied for more than forty years, it is still one of the most important approach in regional economic analysis and forecast at present in the world. This is due to the never ended modifications and its great potentials. In this paper, we review the historical development of the regional input-output analysis.

中国金融保险业的产业关联和诱发效应研究--来自竞争型投入产出表的证据

金融保险业是连接国民经济各产业部门生产经营活动的重要纽带。本文以2018年和2020年竞争型投入产出表为依据,利用投入产出模型辨析中国产业类型、测度角色地位和分析产业价值,着重研究中国金融保险业的产业关联和诱发效应。研究发现:(1)中国金融保险业是中间产品型基础产业,具备需求拉动力小、供给推动力大,即弱辐射性、强制约性的特征;(2)中国金融保险业与房地产、商务服务和交通运输服务等第三产业的产业关联效应较为明显,对金融保险业自身、商务服务和房地产影响力度较强,同时容易受到交通运输服务、房地产和商业服务影响;(3)消费、投资、出口最终需求对金融保险业的生产诱发效应依次减弱,消费对其生产诱发依存度逐年上升,投资则逐年下降;(4)在构建国内经济循环体系过程中,金融保险业暂未发挥核心支柱作用。本文提出为加快建设全国统一大市场、推动中国式现代化进程,中国亟需完善现代化金融体系,发挥其经济“减震器”以及社会“稳定器”功能。

我国各地区数字经济发展水平及影响因素分析——基于DEA-Tobit模型的实证研究

运用熵权TOPSIS法综合测算2017—2021年我国30个省份数字经济发展的整体水平,在此基础上,采用数据包络分析方法(DEA)测算我国各省份数字经济效率情况,进而采用Tobit模型探究各省份数字经济发展水平的影响因素。研究结果表明,2017—2021年我国各省份数字经济整体发展水平和效率值不高并且地区分布差异明显,地区经济发展水平、政府干预度、人力资本水平、外资依存度对数字经济投入产出效率具有显著影响,而过高的投资规模会抑制数字经济效率的发展。在此基础上,提出需要发挥政府宏观调控作用,加大教育投资,落实人才引进政策,提高对外开放程度来提升数字经济发展水平的政策建议。

GREY DISPLACEMENT INPUT－OUTPUT MODELS OF MINERAL PROCESSING－METALLURGY SYSTEM

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A multi-input and multi-output design on automotive engine management system

Lookup table is widely used in automotive industry for the design of engine control units(ECU).Together with a proportional-integral controller,a feed-forward and feedback control scheme is often adopted for automotive engine management system(EMS).Usually,an ECU has a structure of multi-input and single-output(MISO).Therefore,if there are multiple objectives proposed in EMS,there would be corresponding numbers of ECUs that need to be designed.In this situation,huge efforts and time were spent on calibration.In this work,a multi-input and multi-out(MIMO) approach based on model predictive control(MPC) was presented for the automatic cruise system of automotive engine.The results show that the tracking of engine speed command and the regulation of air/fuel ratio(AFR) can be achieved simultaneously under the new scheme.The mean absolute error(MAE) for engine speed control is 0.037,and the MAE for air fuel ratio is 0.069.

Auxiliary Model Based Multi-innovation Stochastic Gradient Identification Methods for Hammerstein Output-Error System

Special input signals identification method based on the auxiliary model based multi-innovation stochastic gradient algorithm for Hammerstein output-error system was proposed.The special input signals were used to realize the identification and separation of the Hammerstein model.As a result,the identification of the dynamic linear part can be separated from the static nonlinear elements without any redundant adjustable parameters.The auxiliary model based multi-innovation stochastic gradient algorithm was applied to identifying the serial link parameters of the Hammerstein model.The auxiliary model based multi-innovation stochastic gradient algorithm can avoid the influence of noise and improve the identification accuracy by changing the innovation length.The simulation results show the efficiency of the proposed method.

技术封锁对产业发展独立性的影响--基于美国“实体清单”的实证检验

在“实体清单”的基础上,确定与被打压核心企业契合的4类产业,结合投入产出模型与社会网络模型,分析4类产业在产业链中地位以及技术封锁对4类产业发展独立性的影响。研究发现:①计算机、通信和其它电子设备制造业居战略地位,就业吸纳能力强,但产业附加价值率低,属于劳动密集型产业,受“实体清单”影响最大,其它3个产业则处产业发展初始阶段;②计算机、通信和其它电子设备制造业以及科技推广和应用服务业居结构洞位置,自我网络规模大但密度低,结构优势未得到充分利用;③美国实施技术封锁后,中国基础产业研究投入明显增多,产业自立自强发展趋势显著。最后,提出应加大资金支持力度,提高产业劳动报酬,提升核心技术自给率,加快数字化进程,实现产业发展“弯道超车”。