Periodic Manufacturing Industry Clustering Analysis in Yozgat Using the Location Quotient Method (2006-2016 (original) (raw)

Periodical Manufacturing Industry Clustering Analysis in Yozgat Using The Location Quotient Method (2006-2016)

Journal of Planning, 2018

This study is an analysis of manufacturing industry clustering in Yozgat in 5-year periods during the years of 2006 to 2016 using the location quotient method. This method is a readily accessible means of performing a spatial evaluation of statistical data. This research investigated which cities in Yozgat have manufacturing industry clusters, which cities' manufacturing industries merit further investment, compatibility with 2013 regional planning proposals, and tendencies in manufacturing industry clustering over the years. According to the number of employees in Yozgat in 2006, there were only manufacturing industry clusters in the districts of Yerköy and Sorgun. There were manufacturing industry clusters in 6 more regions in 2011. By 2016, the districts of Yerköy, Sorgun, Boğazlıyan, and Çayıralan had manufacturing industry clusters. Another important result is that the proximity of Boğazlıyan and Çayıralan to the city of Kayseri provides them with widespread trickle-down effects. This research was performed using the fourth level of the equivalent to the subregions of nomenclature of units for territorial statistics (NUTS-4), and is one of the first such studies of Yozgat.

Industrial Clusters as a Regional Development Tool: A Spatial Analysis on Turkey

The aim of this study is to explore the clustering behaviour of Turkish regions from the point of manufacturing industry. For this purpose, firstly, industrial clusters will be examined as a regional policy tool in regional development. After all, Japan, Israel, Scotland and Italy's cluster initiatives will be shortly explained to highlight the importance of clusters in regional economy. Lastly, cluster initiatives in Turkey will be examined from the regional aspect and an econometric estimation will be made to detect the clustering behivour of Turkish regions. A spatial econometric analysis will be applied for a panel data including 26 NUTS2 regions of Turkey for the period of 1991 – 2000. According to emprical analysis results applied to a standart Cobb – Douglas Production Function, manufacturing industry of Turkey's NUTS2 regions show clustering behaviour. According to these estimation results policy implications for Turkey will be made.

Industrial Clustering Approach in Regional Development: The Case of Turkey

2014

In this paper, a "3-Star Analysis,” commonly used in cluster mapping studies in the European Union (E.U.), was conducted, and manufacturing sectors with clustering potential in Turkey were determined across the 26 regions (NUTS 2). This study first introduces a novel concept of “cluster density index” for the manufacturing sectors in Turkey and then analyzes the relationship between the cluster density index and openness, economic development level and public incentives for investment. In this analysis, we used the non-parametric spearman’s rank correlation to test the relationships between the variables of interest.

The Structure, Development and Spatial Distribution of Industrial Activities in Turkey

This study deals with the development of industry which is one of the most important elements of socioeconomic transformation in Turkey, its structural features, spatial distribution, as well as the factors that influence it. Industrialization movements started in Turkey in 1963 with planned development moves and accelerated as a result of the impact of liberal policies implemented, in and after the year 1980. Initially, industrial activities concentrated in metropolitan areas and subsequently started to expand to other areas in the country, in time with a view on regional development as a result of factors such as development plans, applied initiative policies, current raw material resources and transport. However, there are still major disparities in the distribution of the manufacturing industry, enterprises, employees, exporting and importing within the country. In fact, according to data for 2014, 43.9% of manufacturing industrial enterprises and 47.4% of employees are concentrated in the Marmara Region. The Marmara Region is followed by the Central Anatolian Region with 13.8% and 15.3% and the Aegean Region with 14% and 15.2% in terms of manufacturing industrial enterprises and employees respectively. Furthermore, 69.7% of exports and 76.9% of imports are processed in the Marmara Region which is followed by 9.6% and 7.7% in the Aegean Region and 8.2% and 7.4% in the Central Anatolian Region respectively. In terms of provinces, industry is concentrated in Istanbul, Izmir, Ankara, Bursa, Konya, Gaziantep, Antalya, Adana, Kocaeli and Denizli in Turkey. These provinces consist of 64% of enterprises and 65.7% of employees in Turkey. Data acquired from Turkish Statistical Institute (Turkstat) and the Ministry of Science, Industry and Technology has been assessed with the use of ArcGis program.

Regional and structural analysis of the manufacturing industry in Turkey

The Annals of Regional Science, 2017

The geography of the manufacturing industry has been changing due to technological development, flexible production and reducing transportation costs regarding the new specialization and distribution process in the world. While manufacturing production has been moving from developed countries to the relatively less developed ones, which have become the emerging economies over the last two decades, the concentration of these activities within the countries has always received the attention of researchers. On the other hand, not only the geographical shift but also structural shifts have increasingly been an important phenomenon of the twenty-first century. It is known that the level of technology and innovation makes a significant contribution to regional economic development. Determinants of manufacturing agglomerations have created a wide literature based on different empirical studies. Moreover the structural changes of industry need to be investigated regarding the spatial agglomerations. The aim of this paper is to explore how the factors of manufacturing agglomerations have differentiated due to the technological level across the country. Furthermore, we assume that the agglomeration mechanism is likely to vary across the space. Therefore, we have run both global and local regression models based on the employment data of the 81 NUTS III level regions (provinces) of Turkey in 2012. The results point out B Ferhan Gezici

Analyzing the determinants of agglomeration for the manufacturing industry in Turkey

ERSA 2013 , 2013

The traditional way of industrial production has transformed into high added-value products and services sector while the geography of manufacturing has been changing accordingly. On the other hand, both determinants and impacts of industrial location decisions and agglomeration economies have been crucial topics for researchers since Alfred Marshall (1920) (Krugman, 1991; Ellison and Glasser, 1997; Mccann, 2001; Fujita and Thisse, 2002; Rosenthal and Strange, 2006; Puga, 2009; Guimaraes et al., 2000). According to Isard (1956), who is the pioneer of implementing the location theory’s extended version in regional economy, location choice is not only caused by inter-regional differences, but also, it has a significant effect on the occurrence of inter-regional disparities. The existence of industry in a region is fundamental for that region’s economical development by its stimulating effects on manufacturing employment and other sectors. Even though the traditional location choice factors have been changing in time, initial advantages, reducing transportation costs, accessibility to market and accessibility to skilled labor pool, are still significant for generating agglomeration tendencies (Fujita and Thisse, 1996; McCann, 2001; Parr, 2002; Capello, 2007). In addition, the companies’ competitiveness based on clustering pattern increases the region’s competitiveness. Therefore, industrial clusters are expected to be positively effective on the region’s economical development (Porter, 1990; Stimson et al., 2006; Keise, 2008; Capello, 2009). The purpose of this paper is to explore the determinants of agglomeration economies in Turkey in 2000 as the turning point of 21th century. At first, the paper will initially present the changing and concentration pattern of industrial employment in the NUTS 2 level regions from 1992 to 2008. Secondly, the regression analysis is used to explore the determinants of agglomeration economies at the provincial level. The findings of global regression pointed out the power of the market potential, labor pool and public investment as the determinants of agglomeration.

Exploring Regional Specialization in Turkey's Manufacturing Industry

Regional Studies Association International Conference, 2003

The focus of the study is based on the assumption that at the heart of each cluster, there exists one or more driver industries in which the region has greatest competitive advantage. The paper aims to explore the regional distribution of National cluster templates and identify regional highpoint clusters, and for each region's highpoint clusters, identify their driver industries. Based on the National cluster templates identified in previous studies using 1996 the Turkish input-output data, the study reveals highpoint industry clusters in Turkey's seven geographical regions whose relative concentration is greater than the National average. The paper further elaborates on highpoint clusters by identifying 4-digit driver industries in each of the highpoint clusters that account for at least 0.2% of the regional work force and which are at least 25% more concentrated than national average. The findings demonstrate that each geographical region in Turkey is specialized in at least one cluster, and in general such clusters' employment in the regions' total employment is greater than 50%. The spatial distribution of the highpoint clusters and their driver industries indicate that each region has unique characteristics with respect to development priorities.

An overview on industry clusters and the impact of related variety on regional performance in turkey

RePEc: Research Papers in Economics, 2012

The paper has two objectives. The first objective is to summarize the evolution and current status of cluster policies in Turkey. The second objective is to contribute to the understanding of the role of clusters on regional economic performance through investigating the impact of related variety on regional economic growth in Turkey. The clustering projects in Turkey started in the beginning of 2000 where the national clustering projects are jointly funded by the EU and the Republic of Turkey. The empirical results confirm that related variety across industries is a significant driver of economic growth in Turkey indicating that in designing official clustering policies, it is necessary to take sectoral variety into consideration.

Relationship Between Economic Performance and Characteristics of Industrial Districts: The Case Study of Manufacturing Industry

2012

In economic geography literature, there is a consensus that qualitative concentration of economic activities in a region does not contribute solely to the economic performance of the region and that spatial and social factors are also effective as well as qualitative concentration of economic activities. In this context, the study depends on the assumption that “there is a positive relation between economic performance of manufacturing industry and economic and non-economic characteristics of the manufacturing industry”. The aim of this study is to examine whether a relation between economic performance of manufacturing industry and economic and non-economic characteristics of the manufacturing industry in the case study of a statistical region called NUT 1 in Turkey. In this context, the performance of manufacturing industry in Turkey is evaluated in terms of economic value added. In this study, the relation between economic performance and characteristics of the manufacturing indu...

The Extent of Agglomeration in Turkish Manufacturing Industries

. After examining the results from the index, the E-G index is decomposed to its components in order to identify any similarities or patterns between different types of industries and also to understand the main factor behind the change in agglomeration patterns over time.