scholarly journals Factors Determining the Development of Minimum Comparable Areas and Spatial Interaction

2021 ◽  
Author(s):  
AISDL

One popular strand of literature concerning economic growth and/or GDP focuses on the growth/GDP of minimum comparable areas (MCAs), but conducting research in this area is difficult due to data problems. To understand the nature of the microlevel structure, we estimate the determinants of the GDP of MCAs in Turkey since no single study covers all towns. We use spatial models and show that regional development policies should be based on the actual contiguity of MCAs, which is not currently considered in policies. We utilize Bayesian criteria to determine the best-fitting spatial weight matrix, whereas many previous studies have chosen such matrices subjectively.

Author(s):  
Michaela Staníčková ◽  
Lukáš Melecký

Regional development policies based on local potential triggers a shift in the economic structure of territories. Exogenous and endogenous factors determine potential of regional development and it is necessary to use different indicators and methods to its evaluation. For the paper purpose, it is required to define metropolitan and peripheral functions as well as urban areas in the form of geographic models, depicting their spatial distribution in the European Union (EU). Nowadays, regions are increasingly becoming the drivers of the economy. All regions possess development opportunities – however, use these options enough, and hence the competitiveness of regions must be efficient enough. The paper focuses on dividing the EU NUTS 2 regions based on geographic models of the European economy into efficient and inefficient ones and identifying an optimal benchmark for inefficient regions as a strategy for enhancing their economic structure to measure regional efforts and progress.


2009 ◽  
Vol 7 (1) ◽  
Author(s):  
Mohammad Abdul Mohit

The economy of Malaysia has undergone changes from its agricultural base to import-substitution during the 1960s and finally to export-orientation after 1968, associated with an influx of significant amount of direct foreign investment (DFI). These changes of the production base of the country led to concomitant changes in the structure of employment from agriculture to rnanufacturing and finally to services. Studies so far undertaken mostly concentrate on the macro aspect of this transformation process. No attempt has been made to study the structural changes of the national economy through analyzing the production/employment structure of the regions/states of Malaysia. In spite of adopting and implementing a number regional development policies and strategies from 2MP, it is anticipated that the structural transformation has not been uniform across the different regions of the country. Therefore, this paper provides a spatial analysis of the structural changes in the structure of production and employment that has occurred across fourteen states of Malaysia. The study found that the economic growth process has been unequal across the 14 states of Malaysia, accentuating the regional disparities in income and employment growth. Both federal govenunent development expenditure and private investments in different states of Malaysia have not been proportionate to their shares of national population and this partially explains the reason for the interregional differences of economic growth in the country.


2020 ◽  
Vol 22 (4) ◽  
pp. 469-495
Author(s):  
Jakub Olejnik ◽  
Alicja Olejnik

Abstract This paper revisits the theory of asymptotic behaviour of the well-known Gaussian Quasi-Maximum Likelihood estimator of parameters in mixed regressive, high-order autoregressive spatial models. We generalise the approach previously published in the econometric literature by weakening the assumptions imposed on the spatial weight matrix. This allows consideration of interaction patterns with a potentially larger degree of spatial dependence. Moreover, we broaden the class of admissible distributions of model residuals. As an example application of our new asymptotic analysis we also consider the large sample behaviour of a general group effects design.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Thomas Ejdemo ◽  
Daniel Örtqvist

AbstractThere has been a long debate about the role of industry structure in the literature on why some regions successfully achieve economic growth, while other regions stagnate or decline. This paper provides an empirical analysis in which we, based on a cluster analysis, develop a taxonomy for regional growth. In a second part of the study, we explore how specialization and entrepreneurship are meaningful to discriminate between the different types of regions. Our results suggest that regional entrepreneurship and industry diversity characterized by relatedness are key elements in understanding why some regions are leading while others lag behind. The suggested taxonomy is argued to contribute with a nuanced perspective that can enhance discussions about improvements of regional development policies and to further empirical analysis on the topic.


2009 ◽  
Vol 7 ◽  
Author(s):  
Mohammad Abdul Mohit

The economy of Malaysia has undergone changes from its agricultural base to import-substitution during the 1960s and finally to export-orientation after 1968, associated with an influx of significant amount of direct foreign investment (DFI). These changes of the production base of the country led to concomitant changes in the structure of employment from agriculture to rnanufacturing and finally to services. Studies so far undertaken mostly concentrate on the macro aspect of this transformation process. No attempt has been made to study the structural changes of the national economy through analyzing the production/employment structure of the regions/states of Malaysia. In spite of adopting and implementing a number regional development policies and strategies from 2MP, it is anticipated that the structural transformation has not been uniform across the different regions of the country. Therefore, this paper provides a spatial analysis of the structural changes in the structure of production and employment that has occurred across fourteen states of Malaysia. The study found that the economic growth process has been unequal across the 14 states of Malaysia, accentuating the regional disparities in income and employment growth. Both federal govenunent development expenditure and private investments in different states of Malaysia have not been proportionate to their shares of national population and this partially explains the reason for the interregional differences of economic growth in the country.


2020 ◽  
pp. 40-59
Author(s):  
Marco Antonio Rocha Sánchez

This work presents an analysis of the recent development of the federation entities that make up the central region of Mexico, considering indicators of urban and regional competitiveness, social indicators and environmental sustainability. The results state that economic growth in cities in the region has as a counterpart of greater competitiveness and standard of living, a negative impact on the local and regional urban environment. In this context, a reference framework for the development of regional development policies is proposed with a metropolitan and Megalopolitan perspective approach to reorient public policy strategies based on the articulation between economy, society and the environment.


Author(s):  
Michaela Staníčková ◽  
Lukáš Melecký

Regional development policies based on local potential triggers a shift in the economic structure of territories. Exogenous and endogenous factors determine potential of regional development and it is necessary to use different indicators and methods to its evaluation. For the chapter purpose, it is required to define metropolitan and peripheral functions as well as urban areas in the form of geographic models, depicting their spatial distribution in the European Union (EU). Nowadays, regions are increasingly becoming the drivers of the economy. All regions possess development opportunities – however, use these options enough, and hence the competitiveness of regions must be efficient enough. The chapter focuses on dividing the EU NUTS 2 regions based on geographic models of the European economy into efficient and inefficient ones and identifying an optimal benchmark for inefficient regions as a strategy for enhancing their economic structure to measure regional efforts and progress.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Huan Zhou ◽  
Shaojian Qu ◽  
Xiaoguang Yang ◽  
Qinglu Yuan

Based on data of 31 provinces in China for the period 2007–2017, this paper establishes spatial models by means of a transcendental logarithmic production function and analyzes the impact of regional credit and technological innovation on regional economic growth. The Jenks natural breaks method, kernel density function, and Moran index are introduced for spatial statistical analysis. Spatial weight matrices are constructed from two aspects of geographical characteristics and innovative input characteristics. The empirical results show significant spatial heterogeneity and spatial autocorrelation in economic growth, regional credit, and technological innovation. Both regional credit and technological innovation are important impacts to economic growth, whereas the interaction of regional credit and technological innovation has a negative effect on provincial economic growth. Therefore, we argue that China should rationally allocate regional credit resources, strengthen technological innovation capabilities, and boost the integrated development of regional credit and technological innovation. It is a particularly important way to facilitate regional economic integration and sustainable development.


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