A system whose information is partially known and partially unknown is named as a grey system and it is general situation in reality. On the basis of grey number/matrix and their covered operation, some definitions of...
详细信息
A system whose information is partially known and partially unknown is named as a grey system and it is general situation in reality. On the basis of grey number/matrix and their covered operation, some definitions of grey functions are enumerated. Combining grey system theory with traditional dynamic input-output analysis, we propose the grey dynamic input-output analysis. It has two types, i.e., the continuous and the disperse. The most important results are the computational formulas of the matrix-covered set of inverse grey investment coefficient matrix. By using them, we can forecast and control the economic system under the uncertain situation. For the calculation of the matrix-covered set of inverse grey matrices, we obtain the desired formulas, which can be applied to general grey matrices. The formulas can greatly promote the development of grey theory and enrich the applied fields of uncertain mathematics. The modified case illustrates our method. (C) 2009 Elsevier Inc. All rights reserved.
The popularity of multiple objective dynamicinput-output (MODIO) models in real application was much restricted by their instabilities. In this paper we investigate the mechanism of the instability of the original MO...
详细信息
The popularity of multiple objective dynamicinput-output (MODIO) models in real application was much restricted by their instabilities. In this paper we investigate the mechanism of the instability of the original MODIO models theoretically and develop a modified MODIO model in virtue of the idea of goal programming. It is shown that the proposed model is stable while remaining the characteristics of the original MODIO models. (c) 2005 Elsevier Inc. All rights reserved.
This paper discusses a new dynamicinput-output model, the macroeconomic consumption-tracking control model and its applications. A case study of the China economy is given. The consumption-tracking models are enriche...
详细信息
This paper discusses a new dynamicinput-output model, the macroeconomic consumption-tracking control model and its applications. A case study of the China economy is given. The consumption-tracking models are enriched through involving time-delay investment, and two concepts of investment-consumption response and stereoscopic dynamic multipliers are put forward.
A core ingredient of post-disaster input-output recovery models is the reconstruction of lost production capacity. Therefore, one would expect a set of models endowed with capital coefficients matrices to be available...
详细信息
A core ingredient of post-disaster input-output recovery models is the reconstruction of lost production capacity. Therefore, one would expect a set of models endowed with capital coefficients matrices to be available for analysis. However, this is not the case, possibly due to earlier negative experiences with such models. Nevertheless, in this paper, we aim to show that there is a class of problems that can be addressed successfully with a dynamicinput-output model with a fully functioning capital coefficients matrix. We put forward that if reconstruction is tightly planned, investment and therewith gross output essentially become pre-determined. This also means that traditional final demand becomes an endogenous residual, with the model being transformed into a distribution and allocation model. We begin with a reordering of variables and equations as proposed in Leontief's dynamic inverse, and then move on directly to the newly proposed model. Suggestions for further work are given.
Industrial assets or fixed capital stocks are at the core of the transition to a low-carbon economy. They represent substantial accumulations of capital, bulk materials, and critical metals. Their lifetime determines ...
详细信息
Industrial assets or fixed capital stocks are at the core of the transition to a low-carbon economy. They represent substantial accumulations of capital, bulk materials, and critical metals. Their lifetime determines the potential for material recycling and how fast they can be replaced by new, more efficient facilities. Their efficiency determines the coupling between useful output and energy and material throughput. A sound understanding of the economic and physical properties of fixed capital stocks is essential to anticipating the long-term environmental and economic consequences of the new energy future. We identify substantial overlap in the way stocks are modeled in national accounting, dynamic material flow analysis, dynamicinput-output (I/O) analysis, and life cycle assessment (LCA) and we merge these concepts into a common framework for modeling fixed capital stocks. We demonstrate the usefulness of the framework for simultaneous accounting of capital and material stocks and for consequential LCA. We apply the framework to design a demand-driven dynamic I/O model with dynamic capital stocks, and we synthesize both the marginal and attributional matrix of technical coefficients (A-matrix) from detailed process inventories of fixed assets of different age cohorts and technologies. The stock modeling framework allows researchers to identify and exploit synergies between different model families under the umbrella of socioeconomic metabolism.
A LQ problem of the discrete-time dynamicinput-output models, the optimal consumption-tracking problem of macroeconomic systems, is proposed. This problem combines daynamic input-outputanalysis with modern control t...
详细信息
A LQ problem of the discrete-time dynamicinput-output models, the optimal consumption-tracking problem of macroeconomic systems, is proposed. This problem combines daynamic input-outputanalysis with modern control techniques. The objective function of the systems is defined as the linear quadratic functional based on the consumption-tracking principle, and the system equations are permitted as singular linear difference equations with a nonregular pencil of matrices.
The panic surrounding the COVID-19 pandemic has collapsed world economic systems. Thailand is no exception. Evidently, domestic-industrial activities in many countries have nearly stopped, and international sectors ha...
详细信息
The panic surrounding the COVID-19 pandemic has collapsed world economic systems. Thailand is no exception. Evidently, domestic-industrial activities in many countries have nearly stopped, and international sectors have abruptly disintegrated. Unemployment has become critical, and business viability has run into trouble. This article illustrates the potential solutions to these issues linked to Thailand's domestic and international-trade economies by econometrically applying sectoral forecasting analyses and simulations because the pandemic has not only caused physical damage, but also a negative chain in worldwide economic systems. Methodologically, dynamicinput-output (I-O) analysis is circumspectly employed to obtain foresight on some predominantly industrial sectors that could potentially rescue the Thai domestic economy from the depression of 2020-2022. The I-O tables are sourced from official data of the Asian Development Bank (ADB). For the international-trade scenario, the agent-based model and simulations are used to forecast the future trends of macroeconomic responses. The two methods, dynamic I-O models and agent-based simulations, are the current means capable of sensibly predicting macroeconomic responses for monitoring the upcoming years. The empirical outcomes can clearly predict upcoming events that will be beneficial for policy implementations.
With the COVID-19 pandemic's complexity and inexorable devastation, this research article attempts to forecast Thailand's economic move forward through gastronomic tourism promotion. The dynamicinput-output (...
详细信息
With the COVID-19 pandemic's complexity and inexorable devastation, this research article attempts to forecast Thailand's economic move forward through gastronomic tourism promotion. The dynamicinput-output (I-O) model was the primary method for classifying gastronomic activities in tourism I-O data, which was investigated sector by sector. The Ministry of Tourism and Sports in Bangkok, Thailand, officially gathered the 2017 I-O table. To briefly explain the empirical results, it found that the main sectors of gastronomic tourism that highly impact Thailand's economy are the processing and preserving of foods, other foods, food and beverage serving activities, and other food services. In terms of forecasting during the period of the COVID-19 pandemic, the Bayesian Structural Time Series (BSTS) based on the dynamicinput-output (I-O) model suggests that approximately 1% to 2% of Thailand's gastronomic tourism will be able to contribute to the GDP of this country substantially. By the way, if this research result is significant, then both the private sector and the government sector need to be concerned and promote those sectors as much as they can.
暂无评论