Search

This paper argues that rising food staple prices can pose a significant barrier to the growth of labour‐intensive manufacturing by raising real wage rates. This is important because an expanding manufacturing sector has both comparative static and dynamic effects on labour productivity growth. The experience of Indonesia is used to illustrate these ideas.

What happens when the most dynamic entrepreneurial businesses in a country are effectively born global, or when most advanced production facilities are owned and operated by foreign firms which turn out products invented elsewhere? Is thin industrialization the result of policy failure, or is it systemic and unavoidable? Can it be unwound by neo-nationalists? What impact does this have on working and middle classes and social development?

This study aims to identify the causes of deindustrialization among ASEAN countries with years of analysis from 2000 to 2017. Secondary data in this study were obtained from CEIC and the analysis method used an econometric model approach to panel data. The variable used to describe deindustrialization in this study (dependent variable) is manufacturing value added (MANVASUR) and the share of manufacturing in GDP (MANSHA). The results of the analysis show that per capita income, population, and economic openness have a significant effect on manufacturing value added (MANVASUR), while the share of manufacturing in GDP (MANSHA) is influenced by the wealth of natural resources, population, and economic openness. The population and per capita income of ASEAN member countries are positively related to the added value of the industrial sector, while economic openness is negatively related. This means that the more open the economy of a country, on the contrary the value added of the industrial sector actually decreases. Economic openness and natural resource wealth of ASEAN countries are positively related to the contribution (share) of the industrial sector to GDP, while the population is negatively marked by contribution (share) industrial sector to GDP. That means, the fewer the population, the less human resources involved in industry and industry will involve a lot of technology (capital intensive).

This paper theoretically and empirically investigates deindustrialization in a group of selected countries, from 1970 to 2017, viewing it as a process of varied and complex causes, sensitive to the degree of economic development. Supported by the theoretical framework on the centrality of the manufacturing industry for economic growth and the contextualization of recent trends in global industry, we seek to understand empirically the main determinants of deindustrialization through an econometric model of panel data analysis. The main objective, which is also the main contribution of this research, is to empirically investigate the determinants of deindustrialization considering the degree of development of the countries and with the understanding that the causes of this process can differ substantially. Our main results, in general, were aligned with the theoretical and empirical literature on the topic, while corroborating the hypothesis that certain variables are dependent on the level of economic development. In less developed countries, the exchange rate (depreciation) is correlated positively with the value added of the manufacturing sector, as is trade openness but in a negative way. In advanced countries, on the other hand, the relocation of physical production and the degree of financialization are highlighted as factors that negatively affect the manufacturing value added, while trade openness is positive. In view of these results, a more critical analysis on the causes and costs of deindustrialization is considered important, especially in developing countries.

In this modern era, environmental pollution is the biggest problem attached to industrialization. This study tries to ensure the relationship between industrialization and CO2 emissions in Pakistan for the time period 1980–2018 by using nonlinear ARDL model while controlling for urbanization, GDP, and human capital variables as a likely factor of CO2 emissions. Our foremost study objective is to examine whether or not the outcome of industrialization on CO2 emissions is symmetric or asymmetric for Pakistan that is one of the core suppliers to CO2 in South Asia, as the emissions were 0.82 million tons in 2018. Our result approves the presence of an asymmetric effect of industrialization shocks on CO2 emissions both in the short run and long run. The results reveal that industrialization increases emissions and deindustrialization decrease emissions, in short as well as long run, in Pakistan. Moreover, our finding also advises that urbanization and GDP variables have exerted a positive impact on CO2 emissions. Based on the findings, some policy suggestions are proposed for Pakistan.

This work analyzes the phenomenon of premature deindustrialization for Colombia and for other seven Latin American countries. Through a Koyck transformation model for the Colombian case, and a panel data fixed effects model for the complete sample of eight Latin American countries, this work documents that the fall in the average effective tariff in the region is the main economic explanation of the premature reduction in the manufacturing share. Also, it provides evidence that relates negative performance of manufacturing to foreign investment flows and to Dutch disease. On the other hand, taking into account the importance of manufacturing on productive sophistication and economic development, this work applies product space methodology in order to determine strategic manufacturing sectors for the establishment of a selective industrial policy for the Colombian case. As a result, the sectors that must be encouraged by the Colombian State are manufactured intermediate goods, mainly goods in the chemical industry.

The industrial sector of the Republic of Croatia is subject to deindustrialization, which was globally recognized as early as in the 1960s. Such a situation is a challenge in terms of implementing new sources of economic growth and industrial production, with a particular emphasis on investing in research and development, education and their products. Since 2011, special emphasis has been placed on the need to implement the concept of Industry 4.0. The problem surveyed in this research derives from insufficient readiness of the Republic of Croatia to implement Industry 4.0, mainly resulting from its major orientation towards traditional industrial sectors and a low share of high value added activities, which is particularly visible through the share of high technology products in total exports. However, the Republic of Croatia is characterized by low levels of scientific research and innovative activities, which greatly slows down this process. The aim of the conducted research is to present the theoretical aspects of the process of deindustrialization and Industry 4.0, to make projections of the key indicators of deindustrialization and Industry 4.0 until 2025, and to propose scientifically based measures to be taken in the direction of securing digital transformation of the Croatian industry. The purpose of the conducted research is to analyse trends in the industrial sector in the Republic of Croatia and to determine the current state of the (de)industrialization process and the level of implementation of Industry 4.0. The research has showed that the process of deindustrialization in the Republic of Croatia is characterized by a reduction in the share of employment in the primary sector, by a growing employment in the secondary sector, and by a relative increase in industrial production and labour productivity. However, since 2015 there has been an increase in employment in the secondary sector, which is in contrast to the theoretical concepts of deindustrialization and indicates a new trend in the industrial sector. This situation is a challenge concerning the implementation of Industry 4.0, which requires increased investment in research and development and the improvement of knowledge and the ability of the population and their implementation in the economic sector. By analysing this segment of the Croatian economy, some progress has been made. Also, it has also been found that in some segments it significantly lags behind the EU levels.

Background The health gap between the top and the bottom of the income distribution is widening rapidly in the USA, but the lifespan of America’s poor depends substantially on where they live. We ask whether two major developments in American society, deindustrialization and incarceration, can explain variation among states in life expectancy of those in the lowest income quartile. Methods Life expectancy estimates at age 40 of those in the bottom income quartile were used to fit panel data models examining the relationship with deindustrialization and incarceration between 2001 and 2014 for all US states. Results A one standard deviation (s.d.) increase in deindustrialization (mean = 11.2, s.d. = 3.5) reduces life expectancy for the poor by 0.255 years [95% confidence interval (CI): 0.090–0.419] and each additional prisoner per 1000 residents (mean = 4.0, s.d. = 1.5) is associated with a loss of 0.468 years (95% CI: 0.213–0.723). Our predictors explain over 20% of the state-level variation in life expectancy among the poor and virtually the entire increase in the life expectancy gap between the top and the bottom income quartiles since the turn of the century. Conclusions In the USA between 2001 and 2014, deindustrialization and incarceration subtracted roughly 2.5 years from the lifespan of the poor, pointing to their role as major health determinants. Future research must remain conscious of the upstream determinants and the political economy of public health. If public policy responses to growing health inequalities are to be effective, they must consider strengthening industrial policy and ending hyper-incarceration.

Sanayisizleşme kavramı, bir ekonomi yüksek gelir düzeyine ulaştığında imalat sanayinin payının azalmasını tanımlamak için kullanılır. Kuznets, üretim çıktısı ve istihdamdaki düşüş eğiliminin bir ülkenin kalkınmasının doğal bir sonucu olduğunu belirtir. Bununla birlikte, Kuznets'teki yapısal değişime ek olarak, dünya çapında üretimin Çin'e kayması da gelişmiş ve gelişmekte olan ülkelerde sanayisizleşmeyi hızlandırabilecek başka bir faktör olarak gösterilmektedir. Makale, seçilmiş MENA ülkelerinde imalat sanayinin gelişiminin belirleyicilerini incelemeyi amaçlamaktadır. Kuznets'in yapısal değişim hipotezi, makaledeki ampirik model tanımlamasında başlangıç noktası olarak alındı. Model, Çin'in ekonomik genişlemesine ek olarak dışa açıklık ve doğal kaynak laneti etkilerini de yakalayacak şekilde de tasarlandı. Ampirik modellerin tahmini için panel veri kullanıldı. Sonuçlar, MENA ülkelerinde ortak bir Kuznets tipi ters U eğrisinin olmadığını ve doğal kaynak lanetinin sanayileşmeyi belirlediğini ortaya koydu. Tahmin edilen model MENA imalat sanayisi üzerinde Çin yayılmasının herhangi bir etkisini belirlemedi., The deindustrialization concept is used to define the decline in the share of manufacturing as an economy reaches to a high-income level. Kuznets indicates that a decreasing trend in manufacturing output and employment is a natural outcome of development of a country However, in addition to the structural change a la Kuznets, the worldwide shift of manufacturing to China is also shown another factor, which may accelerate the deindustrialization in developed and developing countries. The paper aims to examine the main determinants of the manufacturing development in the selected MENA countries. The Kuznets’ structural change hypothesis is taken as the starting point of the empirical model specification in the paper. The model is also designed to capture the effects of openness and resource curse, in addition to the Chinese economic expansion. A panel data estimation is used for empirical models. The results reveal that there is no common Kuznets type invers U curve and resource curse dominates the industrialization in the MENA countries. The model estimated do not detect any impact of Chinese expansion on MENA manufacturing.

This study puts forward a model of a multisector economy and embeds it in a novel theoretical framework to address the relationship between commodity revenues and manufacturing output with a special focus on the role of the agricultural sector. The three-sector model lays the groundwork for analyzing policy choices in more complex sectoral settings. Based on the theoretical analysis, the study identifies the weight of the individual economic sectors in the public revenue generation as a determinant of the magnitude of rent seeking epitomized in the crowding out effect of investments in manufacturing. We find that enclave agriculture contributes to the deindustrialization pressure in the face of natural resource windfalls. The central finding of the multisector analysis is the conclusion that not diversification per se but rather a diversification with the substantial domestic factor or market orientation has the capability to limit the magnitude of deindustrialization. For the empirical validation of the theoretical findings, the study employs fixed effects, fully modified OLS, dynamic common correlated effects estimators and dynamic fixed effects estimators for the dataset of 113 developing and transition economies for 1963&ndash, 2014 period. The estimations reveal that natural resource revenues correspond with a higher level of the manufacturing sector output. In the economies with a low level of economic diversification, commodity bonanza leads however to the shrinkage of the manufacturing. In the commodity revenue dependent settings, nevertheless, agricultural sector exports have a negative impact on the performance of the manufacturing sector. These findings are in line with the predictions of the theoretical model.

Bu çalışmada otomasyon trendinin meslek grupları üzerindeki etkileri incelenmektedir. Çalışma kapsamında Türkiye'deki meslek gruplarının rutin görev endeksleri hesaplanmış ve bu mesleklerdeki kadın işgücü katılım oranları ile kadın-erkek işgücü oranları analiz edilmiştir. Ayrıca Türk kadın işçilerin mesleklerin değişen yapılarına hangi ölçüde uyum sağlayabildiği PIAAC anket sonuçları üzerinden araştırılmaktadır. Çalışmanın sonucuna göre otomasyona yüksek düzeyde elverişli olan meslekler aynı zamanda yoğunlukla kadın işgücü istihdam eden meslekler olarak karşımıza çıkmaktadır. In this study, the effects of automation trends on the occupation groups are studied. Routine task index of occupations in Turkey are calculated and female labor force participation as well as female to male ratios in these occupations are analyzed. Further, the ability of Turkish female workers in adapting themselves to changing nature of occupations is explored by summary statistics from PIAAC survey results. We find that the occupation groups that are susceptible to automation are occupied by female workers. 59

History of capitalism is the history of crises and reconstruction. After the second sharing, this period that will continue till the middle of 1970’s and be qualified as the golden age of capitalism is the most social period also as the result of the expansionary welfare State applications of capitalism. In the golden age of capitalism, as the result of import substitution industrialization strategy applied in the environmental countries, important structural transformations occurred in the production structure of many countries also including Turkey, and the share of industry increased significantly. The main actor was the state in the import substitution industrialization strategy applied in the environmental countries. Developmental state, using resource allocation for the productive sectors (primarily the production industry), important transformations were obtained in industry. By means of the selective industrial politics applied by the developmental state, many nearby countries the export structure of which depends on the agricultural products due to the production went up to the statute of industrial exporting country. As the result of the erosion observed in the productivity growth in the developer countries and stagflation escalated, the golden age of capitalism ended in the middle of the 1970’s. The neoliberal reconstruction policies depending on the financial collection were carried into effect instead of it. In this period, in which developmental state and its tools were rectified and the financial crises increased day by day, Turkey came face to face with deindustrialization fact like the Latin America countries, and its industrializations were obstructed in an early stage. In the conditions of the 21st Century, when the socio-economic problems of the nearby countries increasing day by day were considered (except China and South Korea), the developmental state and the policies it will apply are evaluated as the basic solution.

This paper discusses determining factors behind Indonesia’s deindustrialization in the post-New Order era. Over time, manufacturing sector shows decreasing contribution to Indonesia’s GDP, while industrial transformation stagnates with limited high-technology exports. Using Linda Weiss’ (1998) Governed Interdependence and Christopher Dent’s (2003) Adaptive Partnership theories, this paper offers political-economy arguments to explain the phenomenon. Internationally speaking, while it is true that neoliberal globalization imposes some restrictions, it is too much to claim the death of industrial policy. Rather, it is the limitation of domestic institutions that is best explained Indonesia’s case. Using automotive, rattan and copper industries as case studies, the argument consists of two parts. First, in post-New Order Indonesia there is insufficient coordination between state and capital (both foreign and domestic). Second, the state in Indonesia lacks sufficient administrative capacity. The paper recommends Indonesia to invest in domestic institution as a means to reindustrialize.

Recent years have witnessed a fairly dramatic upswing in the level of foreign direct investment, a phenomenon which has played an integral part in a larger process of globalization. While sociologists have devoted a good deal of attention to the consequences of direct investment for the developing hosts of foreign direct investment, much less attention has been paid to the implications of direct investment for the advanced industrial societies. ln this paper, I focus on one of the more interesting links that has been drawn between direct investment and its effects: that between the outflowof direct investment - often cast as "capital flight" - and deindustrialization. To examine this link I employ a pooled time-series of cross-sections dataset which combines observations on 17 OECD nations across the 1967-1990 period (N=408) . Random effects regression models, which control for unmeasured country-specific effects, reveal strong support for arguments which link direct investment to the relative decline of the labor force in manufacturing in core societies. ln addition, results show that deindustriali zation across this period is largely explained by a model that combines classic generalizations of the process of economic development with an attention to a range of more immediate factors identified by contemporary students of deindustrialization.

The aim of this research is to examine whether and to what extent the process of financialization has an impact on the process of deindustrialization in the European Union, employing a fixed-effect panel regression model. In this paper exogenous explanatory variable that indicates the level of financialization is presented by the value added of the finance sector as a percentage of total value added, and by the employment in the finance sector as a percentage of total employment. In a process of deindustrialization, the industrial activity is usually replaced by service activities. However, situations where the service sector has not been able to absorb the additional supply of labour and to produce additional values that would compensate the reduction in the industrial sector, could have led to higher unemployment and lower economic growth. In this paper, deindustrialization is measured by the value added of industry sector as a percentage of total value added, and by the employment in industry as a percentage of total employment. Using latest panel data from EUROSTAT and ILO for the period from 1995 to 2015 author detects the significant and negative impacts of the process of financialization on value added of industry sector, as well as on the employment in the industry sector. This supports the conclusion that the process of deindustrialization of the EU countries can be characterized as a financializationled process.

The financialization of the Brazilian economy is often criticized as being responsible of the slowdown of capital accumulation in this country. Indeed, very high interest rates are maintained in order to finance the public debt, and this fosters capitalists to get more Treasury bonds rather than to invest in the productive area. Nevertheless, the evolution of the profit rate in this area also explains the particular relation existing between capitalists, finance and productive investment, as Marx showed it more than a century ago. A financeirização da economia brasileira é frequentemente criticada como sendo responsável pela desaceleração da acumulação de capital no país. Na verdade, muito altas taxas de juros são mantidas a fim de financiar a dívida pública, o que fomenta capitalistas para conseguir mais títulos do Tesouro em vez de investir na área produtiva. No entanto, a evolução da taxa de lucro nesta área também explica a relação especial existente entre os capitalistas, finanças e investimento produtivo, como mostrou Marx mais de um século atrás.

Numerous scholars have suggested that nineteenth-century industrial decline in the global “periphery” was driven by externally wrought global forces that promoted cash-crop agriculture and dis-incentivized local industry, particularly strong global demand for tropical agricultural commodities and increasing competition with imports of cheap, factory-produced manufactures from industrializing regions. To what extent did global market forces affect production choices, and to what degree did local forces guide outcomes? The deindustrialization process is investigated through a case study of Malawi’s Lower Shire Valley, where the Mang’anja cloth industry declined – and cash-crop production began – in the second half of the nineteenth century. I demonstrate that changing production choices were not directly motivated by global market opportunities. Indeed, other cloth-producing sub-Saharan African regions faced nineteenth-century global forces but did not deindustrialize. Rather, economic change in the valley was stimulated by local factor-endowment shifts precipitated by both global and local forces. Labour declined sharply due to slave raiding and famine, while supplies of fertile land increased due to environmental change. Within this altered context, Mang’anja villagers responded by abandoning labour-intensive cloth production in favour of cash-crop cultivation. In more labour-abundant African regions, on the other hand, cloth production continued to thrive alongside cash-crop exports. The mechanisms behind deindustrialization can only be understood through careful local-level examination of the local contexts that influenced responses to broader global processes.

The diesel engine manufacturer L. Gardner and Sons saw two long strikes in 1968 and late 1972, after which a militant shop-steward leadership emerged. In 1980 a high-profile strike and occupation against mass redundancies at the height of the manufacturing recession won significant concessions. The organization exhibited by the Gardner workforce was remarkable and represented a partial victory in a period when strikes were declining and increasingly difficult to organize. However, a countermobilization by the company led to the erosion of the gains: established practices based on ‘mutuality’ (where working times and work organization were agreed between unions and management) were eroded, with managerial control reasserted through regular redundancies. The erosion of the concessions won by the 1980 strike and occupation demonstrates the fragility of gains achieved through trade-unionism. It also demonstrates the difficulty of maintaining strong workplace organization in the face of recession, deindustrialization and counter-mobilization by employers and the state in Britain in the 1980s.

This article is envisioned as a first step in a comprehensive analysis of the European Union’s (EU) industrial base, designed to inform the current debate, and future policy decisions regarding deindustrialisation and reindustrialisation in the EU. We focus on the study of deindustrialisation and productivity, to determine the causes of deindustrialisation and its relation to productivity in the EU, and whether it can be explained primarily as a natural process, or alternatively as a negative economic trend. Our results indicate that the main causes of deindustrialisation in the EU were shifting demand patterns caused by rising GDP per capita, followed by growing international trade which corroborates the hypothesis that the process is natural. In the second part we take a closer look at manufacturing productivity as an integral cause of deindustrialisation. We analyse the impact of market dynamics, concentration and firm size on manufacturing productivity, where we find evidence which supports the conclusion that a higher level of market dynamics increases productivity, while firm size and market concentration seem to decrease industry productivity.

The tertiarization, or perhaps more accurately, the deindustrialization of the economy has left deep scars on cities. It is evident not only in the industrial wastelands and empty factory buildings scattered throughout the urban landscape, but also in the income and social structures of cities. Industrialization, collective wage setting and the welfare state led to a stark reduction in income differences over the course of the twentieth century. Conversely, deindustrialization and the shift to tertiary sectors could result in increasing wage differentiation. Moreover, numerous studies on global cities, the dual city, and divided cities have also identified income polarization as a central phenomenon in the development of major cities. Using data from the German Socio-Economic Panel (SOEP), we find an increasing polarization of household income structures since the mid-1990s. In agglomerations, this income polarization is even more pronounced than in the more rural regions. The income polarization in Germany is likely to have multiple causes, some of which are directly linked to policies such as the deregulation of the labor market. But extensive deindustrialization is probably also one of the drivers, that has led directly to the weakening of middle income groups.

Due to high global demand for goods intensive in natural resources, in recent years, this article aimed to measure, through the analysis of the trade balance, as Argentina’s economy, between the years 2000-2011. Using the sectoral aggregation proposed by the Organisation for Economic Co-Operation and Development (OECD), classification of technological intensity, it was established that the Argentine economy growing trade balances obtained for the sectors producing non industrial goods, and growing trade deficits with the other sectors of the economy. These results may point to a possible de

öz SANAYİSİZLEŞME VE İŞSİZLİĞİN SOSYO-MEKANSAL ETKİLERİ ESKİŞEHİR ÖRNEĞİ Evirgen, Hilal Kentsel Politika Planlaması ve Yerel Yönetimler Anabilim Dalı Tez Yöneticisi: Doç. Dr. H. Tank Şengül Aralık,2002, 129 sayfa Bu çalışmada, sanayisizleşme, yoksulluk ve işsizliğin, Eskişehir kenti örneğinde sosyo- mekansal etkilerinin sorgulanması hedeflenmiştir. Bu bağlamda, sanayisizleşmenin ekonomik kriz sonrasında, işsizlik ve yoksulluk şeklinde aileler üzerindeki etkileri incelenmiştir. Sanayisizleşme ve yoksulluk, aileler üzerinde, özellikle kadınlarda, ciddi sıkıntılara neden olmuştur. Kuramsal çerçeveden sonra, etkiler Eskişehir örneği üzerinden incelenmiştir. Anahtar Kelimeler: Yoksulluk, sanayisizleşme, işsizlik iv ABSTRACT SOCIO-SPATIAL IMPACTS OF DEINDUSTRIALIZATION AND UNEMPLOYMENT CASE STUDY: ESKÎŞEHÎR Evirgen, Hilal M.S., Department of Urban Policy Planning and Local Governments Supervisor: Assoc. Prof. Dr. H.Tank Şengfll December, 2002, 129 pages In this study, it is aimed at to explore the socio-spatial impacts of deindustrialization, poverty and unemployment, in a specific example of Eskişehir. In this respect, the impacts of deindustrialization in the form of unemployment and poverty on the families after economic crisis, is examined. The negative impacts of unemployment and poverty caused serious distress on families, particularly on women. After the theoretical framework, the impacts are examined in particular Eskişehir case. Keywords: Poverty, deindustrialization, unemployment m 129