Combined Input‐Output and Commodity Flow Models for Interregional Development Planning: Insights from a Korean Application

Kim, Tschangho John; Boyce, David E.; Hewings, Geoffrey J. D.

doi:10.1111/j.1538-4632.1983.tb00791.x

Cited by 29 publications

(8 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2 See Armstrong and Taylor (2000) for a textbook discussion of this and related points. 3 Readers wishing to learn more about empirical issues relating to the central research question in this article should consult Smith and Hay (1969), Kim, Boyce, and Hewings (1983), Fischer, Scherngell, and Jansenberger (2006), Rodriguez-Pose and Gill (2006), Gonzalez Rivas (2007), Boschma andIammartino (2009), Naude, Bosker, andMatthee (2010), Soukiazis and Antunes (2011), and the many references cited in these articles. 4 We stress that our model is not a general equilibrium model; we are not modeling a world economy consisting of all possible regions.…”

Section: Notesmentioning

confidence: 99%

“…Readers wishing to learn more about empirical issues relating to the central research question in this article should consult Smith and Hay (), Kim, Boyce, and Hewings (), Fischer, Scherngell, and Jansenberger (), Rodriguez‐Pose and Gill (), Gonzalez Rivas (), Boschma and Iammartino (), Naude, Bosker, and Matthee (), Soukiazis and Antunes (), and the many references cited in these articles.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Positive and Negative Externalities in Innovation, Trade, and Regional Economic Growth

Batabyal

Nijkamp

2014

Geographical Analysis

View full text Add to dashboard Cite

We build on Grossman and Helpman (1991), Rivera‐Batiz and Romer (1991), Acemoglu (2009, pp. 678–80), and Batabyal and Nijkamp (2013b) and analyze the interactions between positive and negative externalities in innovation and trade for economic growth in a region when this region is part of an aggregate economy consisting of two regions. In both regions, consumers have constant relative risk aversion preferences; there is human capital use, and there are three kinds of manufacturing activities involving the production of blueprints for inputs or machines, the inputs or machines themselves, and a single final good for consumption. We study two cases. In the first case, although no growth occurs in the human capital stock, innovative activities give rise to positive externalities or knowledge spillovers in two ways. In this setting, we, study whether and under what circumstances opening a region to trade results in an increase in this region's equilibrium growth rate. In the second case, although growth occurs in the human capital stock, innovation experiences negative externalities. In this scenario, we show that opening a region to trade leads to more innovation but to no change in its long‐run growth rate. Los autores se basan en el trabajo de Grossman y Helpman (1991), Rivera‐Batiz y Romer (1991), Acemoglu (2009, pp 678‐80), y Batabyal y Nijkamp (2013B), para analizar las interacciones entre las externalidades positivas y negativas en la innovación y comercio para el crecimiento económico en una región, en los casos en los que dicha región es parte de una economía global que consiste en dos regiones. En estas dos regiones hipotéticas a) los consumidores tienen aversión constante al riesgo relativo (CRRA); b) se hace uso del capital humano; y, c) se llevan a cabo tres tipos de actividades manufactureras: la elaboración de planes o plantillas de producción, la producción de insumos y maquinaria, y la producción de un único bien de consumo final. El presente estudio analiza dos casos. En el primer caso, aunque no hay crecimiento en el stock de capital humano, las actividades de innovación generan externalidades positivas o derrames (spillovers) de conocimiento de dos tipos. En este contexto, se estudia si, y bajo qué circunstancias la apertura de una región al comercio resulta en un aumento en la tasa de crecimiento de equilibrio de la región. En el segundo caso, hay crecimiento en el stock de capital humano, pero la innovación experimenta externalidades negativas. En este escenario, se muestra que la apertura al comercio de una región conduce a una mayor innovación pero sin ningún cambio en la tasa de crecimiento a largo plazo. 本文在Grossman and Helpman (1991)、Rivera‐Batiz and Romer (1991)、 Acemoglu (2009,，pp. 678–80)和Batabyal and Nijkamp (2013b)等研究基础上，分析了当某一区域与另一区域构成经济聚合体时，该区域经济增长中创新与贸易的外部正负效应的相互影响。在两区域中，消费者均具有不变的相对风险规避(CRRA)参数设定，然后考虑人力资本利用和三种类别的制造活动的预期产量，即投入或机器、原料或机器本身、可消费的单一制成品。我们分析了两种不同的场景。在第一种场景中，尽管人力资本存量并未增长，创新活动也通过正外部性或知识溢出两种方式得到了增长。在该设定下，我们研究了区域是否或者在何种情况下开放贸易会提高地区的均衡增长率。在第二种场景中，尽管人力资本存量增长而创新部分却经历着负外部效应的影响。研究...

show abstract

Section: Notesmentioning

confidence: 99%

mentioning

confidence: 99%

Positive and Negative Externalities in Innovation, Trade, and Regional Economic Growth

Batabyal

Nijkamp

2014

Geographical Analysis

View full text Add to dashboard Cite

show abstract

“…Moreover, studies on interregional input-output (IO) modeling (Isard 1951(Isard , 1953Moses 1955;Polenske 1980;Kim, Boyce, and Hewings 1983;Oosterhaven 1984;Miller and Blair 1985;Hewings et al 1998;Hitomi et al 2000;Liu and Vilain 2004;Kockelman et al 2005;Ruiz and Kockelman 2006) and multiregional computable general equilibrium models and social accounting matrices (SAM; Stone 1961;Round 1995;Bröcker 1998;Jackson et al 2006;Bröcker and Schneekloth 2006) also offer interesting approaches to estimate interregional trade flows, linking the IO and SAM frameworks to interregional transport flows (table 1).…”

Section: Interregional Trade: Estimation Methods and Previous Experiencesmentioning

confidence: 99%

Opening the Interregional Trade ‘‘Black Box’’: The C-Intereg Database for the Spanish Economy (1995—2005)

Llano

Esteban²,

Pérez

et al. 2010

International Regional Science Review

View full text Add to dashboard Cite

El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription AbstractRecent literature on border effect has demonstrated that national trade (intra-as well as interregional trade) tends to be more intense than international trade. Unfortunately, owing to the dearth of information on interregional economic relations, this important aspect of the economy has remained relatively ignored. In this article, the authors have described the methodology and main results of the largest estimation of Spanish interregional trade (1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005) carried out as a part of the C-Intereg project. The results obtained highlight the importance of the internal trade and the validity of the gravity model. Although the estimation focuses on the Spanish economy, the methodology can easily be applied to other European Union (EU) countries. In the upcoming years, this innovative database will be further developed in all its dimensions (space, time, and sectors) to serve as a promising

show abstract

“…Wilson (1970aWilson ( , 1970b presented several methods for analyzing a system of interregional commodity flows, including a Newtonian gravity model, an input-output framework, an entropy maximizing method, and a hybrid gravity and input-output modeling approach. Kim et al (1983) proposed an interregional commodity flow input-output model and provided empirical applications. Rho et al (1989) used small-and large-scale networks to compare solution techniques for the interregional commodity flow model in Wilson (1970aWilson ( , 1970b.…”

Section: Literature Reviewmentioning

confidence: 99%

Freight shipment modal split and its environmental impacts: An exploratory study

Hwang

Ouyang

2013

Journal of the Air & Waste Management Association

View full text Add to dashboard Cite

Freight transportation activities are responsible for a large share of air pollution and greenhouse gas emissions in the United States. Various freight transportation modes have significantly different impacts on air quality and environmental sustainability, and this highlights the need for a better understanding of interregional freight shipment mode choices. This paper develops a binomial logit market share model to predict interregional freight modal share between truck and rail as a function of freight and shipment characteristics. This model can be used to estimate the impacts of various factors, such as oil price, on shippers' mode choice decisions. A set of multiyear freight and geographical information databases was integrated to construct regression models for typical freight commodities. The atmospheric impact levels incurred by different freight modal choice decisions are analyzed to provide insights on the relationship among freight modal split, oil price change, and air quality.Implications: Freight transportation has become a major source of energy consumption and air pollution, and emissions rates vary significantly across different modes. Understanding freight shipment mode choice under various economic and engineering factors will help assess the environmental impacts of freight shipment systems at the national level. This paper develops a binomial logit model for two dominating modes (truck and rail) and shows how this model is incorporated into an environmental impact analysis. The framework will be useful to policy makers to assess the impacts of freight movements on air quality and public health and to mitigate those adverse impacts.

show abstract

Combined Input‐Output and Commodity Flow Models for Interregional Development Planning: Insights from a Korean Application

Cited by 29 publications

References 22 publications

Positive and Negative Externalities in Innovation, Trade, and Regional Economic Growth

Positive and Negative Externalities in Innovation, Trade, and Regional Economic Growth

Opening the Interregional Trade ‘‘Black Box’’: The C-Intereg Database for the Spanish Economy (1995—2005)

Freight shipment modal split and its environmental impacts: An exploratory study

Contact Info

Product

Resources

About