Journal articles on the topic 'Manufacturing employment'

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1

Kumar, Dr Rakesh. "Employment Dynamics : A Case of Punjab Manufacturing Sector." Indian Journal of Applied Research 2, no. 3 (October 1, 2011): 30–37. http://dx.doi.org/10.15373/2249555x/dec2012/10.

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2

Burgess, Simon M. "Employment Adjustment in UK Manufacturing." Economic Journal 98, no. 389 (March 1988): 81. http://dx.doi.org/10.2307/2233512.

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3

Bell, D. A. "Employment. Manufacturing versus service industries." Electronics and Power 31, no. 9 (1985): 642. http://dx.doi.org/10.1049/ep.1985.0398.

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4

McLeod, Alister. "Employment and Technology in Manufacturing." International Journal of Sociotechnology and Knowledge Development 11, no. 3 (July 2019): 14–29. http://dx.doi.org/10.4018/ijskd.2019070102.

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Manufacturing has acted as a modern-day bellwether for the impact robotic systems have on labor. Technical systems have been known to reduce employment in certain sectors of the economy while boosting it in others. Currently, the most pervasive line of thought is that robotic systems are reducing the need for labor-intensive jobs in the United States (U.S.) and other The Organization for Economic Co-operation and Development (OECD) nations. However, the findings of this article suggest that robotic systems and labor are codependent upon one another with respect to the manufacturing sector. Further examination of the factors driving or at the root of this codependency may likely provide further insight as to how robotic systems and their usage will affect future employment.
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5

Freddi, Daniela. "Digitalisation and employment in manufacturing." AI & SOCIETY 33, no. 3 (July 11, 2017): 393–403. http://dx.doi.org/10.1007/s00146-017-0740-5.

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6

Shinozuka, Eiko. "Employment Adjustment in Japanese Manufacturing." Japanese Economic Studies 15, no. 3 (April 1987): 3–28. http://dx.doi.org/10.2753/jes1097-203x15033.

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7

Sharma, Avinash, Sheelawati Monlai, Chowlani Manpoong, Monoj Sutradhar, and Nirupa Kumari. "Renewable energy generating employment specially in Indian agriculture." Journal of Applied and Natural Science 10, no. 4 (December 1, 2018): 1303–7. http://dx.doi.org/10.31018/jans.v10i4.1940.

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The present review explains that renewable energy generates opportunity in field of agriculture. The renewable energy is solar energy, wind energy, water energy and biogas energy. This energy generates employment of manufacturing, design, construction, installation, operation, maintainance, supply chain, multitasking, research, development and administration. The solar industry employs 21,000 people in 2016-17 and 25,000 people in 2017-18. The solar manufacturing industries and solar products will produce various opportunities by 2022 in India. The wind energy provides 4,40,000 employments into onshore and offshore grid system in 2008. The wind mill industry will create 74,000 employments by 2020 in India. The water energy provides employment into hydro electric power station, manufacturing industry and others area. Biogas energy utilizes into motor vehicle as fuel. It saves petrol worth about 0.66 million per annum and also generate employment for 12 persons. The Biogas industry will set up 19 districts of the Maharashtra state to employment generation by 2020. Renewable energy protects the earth planet. It provides employment to rural as well as urban areas. It will improve standard of living and per capita income of people. It will introduce employment to poor and literate persons. It would advocate gender uniformity and doubling of farmer income. It will improve and strengthens Gross Domestic Product and Agriculture shares in India. This energy would encourage huge transition into future era in India.
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8

Appleyard, Melissa M., and Clair Brown. "Employment Practices and Semiconductor Manufacturing Performance." Industrial Relations 40, no. 3 (July 2001): 436–71. http://dx.doi.org/10.1111/0019-8676.00219.

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9

Mollick, André Varella, and René Cabral. "Productivity effects on Mexican manufacturing employment." North American Journal of Economics and Finance 20, no. 1 (March 2009): 66–81. http://dx.doi.org/10.1016/j.najef.2008.10.002.

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10

Dekle, Robert. "The yen and Japanese manufacturing employment." Journal of International Money and Finance 17, no. 5 (October 1998): 785–801. http://dx.doi.org/10.1016/s0261-5606(98)00026-6.

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11

Hodge, Ian, and Sarah Monk. "Manufacturing employment change within rural areas." Journal of Rural Studies 3, no. 1 (January 1987): 65–69. http://dx.doi.org/10.1016/0743-0167(87)90009-x.

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12

Golombek, Rolf, and Arvid Raknerud. "Do Environmental Standards Harm Manufacturing Employment?" Scandinavian Journal of Economics 99, no. 1 (March 1997): 29–44. http://dx.doi.org/10.1111/1467-9442.00045.

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13

Ahlawat, Vanita, and Renu. "An Analysis of Growth and Association between Labour Productivity and Wages in Indian Textile Industry." Management and Labour Studies 43, no. 1-2 (January 23, 2018): 78–87. http://dx.doi.org/10.1177/0258042x17745182.

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India is one of the largest textile producers in the world. Textile industry is huge employment-providing industry after agriculture in India. The present article is an attempt to analyse first, the growth and composition of employees engaged in textile industry in India. Second, to find the growth and relation between employments, man-days employed, wages and net value added (NVA) by textile industry in India. And lastly, the impact of labour productivity in wage determination is also analysed. The results suggested that there is huge gender disparity in employment, that is, women are very few in comparison to men workers. Overall employment in textile has an increasing trend among both categories of textile industry. Further, spinning, weaving and finishing of textile manufacturing is growing faster than manufacturing of other textiles. Employment in textile industry has a positive and significant correlation with real wage rates in both categories of industries. This indicates that increase in real wage rate causes enhancement in employment in textile manufacturing. And further results suggest that labour productivity is a significant determinant of wage rate of textile employees.
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14

Faraj, Muftah, and Murad Bein. "Sustainability of Local Labour Market in South Africa: The Implications of Imports Competition from China." Sustainability 14, no. 12 (June 11, 2022): 7168. http://dx.doi.org/10.3390/su14127168.

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Using South African manufacturing and non-manufacturing industry employment, imports from China, growth in manufacturing and non-manufacturing industry, and workers’ earning data, we examined the impact of imports from China, growth in manufacturing and non-manufacturing industry on manufacturing and non-manufacturing industry employment and workers’ earnings. This study employed a Bayer and Hanck cointegration test to examine the cointegration among the variables, which found the existence of cointegration. In addition, the ARDL approach was employed to ascertain the long-run effect of the import from China, growth in manufacturing and non-manufacturing industry on the manufacturing and non-manufacturing industry employment and workers’ earning, while “Fully Modified Ordinary Least Square (FMOLS)”, “Dynamic Ordinary Least Square (DOLS)”, and “Canonical Cointegrated Regression (CRR)” estimators were employed for robustness. We found a negative long-run effect of imports from China on manufacturing sectors’ employment and workers’ earnings, while a positive of its effect was found on service industry employment. Moreover, growth in the manufacturing industry was found to have a positive long-run effect on manufacturing industry employment and workers’ earnings, while it has a negative long-run effect on service industry employment. As for the growth in the service industry, it was demonstrated to have a negative and positive long-run effect on manufacturing industry employment and non-manufacturing industry employment.
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15

Tregenna, Fiona. "Characterising deindustrialisation: An analysis of changes in manufacturing employment and output internationally." Cambridge Journal of Economics 33, no. 3 (November 18, 2008): 433–66. http://dx.doi.org/10.1093/cje/ben032.

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Abstract Deindustrialisation is typically conceptualised as a decline in manufacturing as a share of total employment. From a Kaldorian perspective deindustrialisation could have negative implications for long-run growth, given the special growth-pulling properties of manufacturing. However, defining deindustrialisation purely in terms of employment share is conceptually limiting given that some of the Kaldorian processes operate primarily through output rather than employment, as well as blunting empirical analysis by not focussing enough on changes in manufacturing share of gross domestic product (GDP). This study develops a new method using decomposition techniques to analyse changes in manufacturing employment levels and shares in 48 countries over periods of ‘deindustrialisation’. The analysis separates out changes in the levels and shares of employment manufacturing into components associated with changes in the share of manufacturing in GDP, the growth of manufacturing value-added, the labour intensity of manufacturing production and economic growth. The results indicate that in most cases the decline in manufacturing employment is associated primarily with falling labour intensity of manufacturing rather than an overall decline in the size or share of the manufacturing sector. We suggest that deindustrialisation should appropriately be defined in terms of a sustained decline in both the share of manufacturing in total employment and the share of manufacturing in GDP.
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16

Villanueva, Luis. "Are manufacturing workers benefiting from trade? The case of Mexico’s manufacturing sector." International Journal of Development Issues 16, no. 1 (April 4, 2017): 25–42. http://dx.doi.org/10.1108/ijdi-08-2016-0048.

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Purpose This paper aims to focus on the distributive implications of trade by studying how manufacturing workers’ relative earnings and employment have changed in post–North American Free Trade Agreement (NAFTA) Mexico (1995-2011). Design/methodology/approach Input–Output analysis and inequality analysis were combined to reveal the empirical relationship between trade, wage inequality and employment in the manufacturing sector in post-NAFTA Mexico. Findings The results reveal that the manufacturing sectors that produce for the export market tend to pay among the lowest wages and yet employ around half of the manufacturing working population; wages in labor-intensive sectors have not been increasing, while wage inequality has been rising; and employment creation due to trade is not always positive and sustained, hence does not seem to be a stable source of jobs. The paper concludes by discussing policy implications of the findings. Originality/value The main focus of the existing literature has been to explain the disconnection between trade and growth. This paper shifts the focus towards the distributive dimension of trade (rather than growth) by focusing on how manufacturing workers' relative earnings and employment have changed in post-NAFTA Mexico (1995-2011). Hence it attempts to contribute to the existing literature on the distributive implications of trade.
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17

Charles, Kerwin Kofi, Erik Hurst, and Matthew J. Notowidigdo. "The Masking of the Decline in Manufacturing Employment by the Housing Bubble." Journal of Economic Perspectives 30, no. 2 (May 1, 2016): 179–200. http://dx.doi.org/10.1257/jep.30.2.179.

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The employment-to-population ratio among prime-aged adults aged 25–54 has fallen substantially since 2000. The explanations proposed for the decline in the employment-to-population ratio have been of two broad types. One set of explanations emphasizes cyclical factors associated with the recession; the second set of explanations focuses on the role of longer-run structural factors. In this paper, we argue that while the decline in manufacturing and the consequent reduction in demand for less-educated workers put downward pressure on their employment rates in the pre-recession 2000–2006 period, the increased demand for less-educated workers because of the housing boom was simultaneously pushing their employment rates upwards. For a few years, the housing boom served to “mask” the labor market effects of manufacturing decline for less-educated workers. When the housing market collapsed in 2007, there was a large, immediate decline in employment among these workers, who faced not only the sudden disappearance of jobs related to the housing boom, but also the fact that manufacturing's steady decline during the early 2000s left them with many fewer opportunities in that sector than had existed at the start of the decade.
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18

Shree, Megha. "Women Employment in Indian Electronics Manufacturing Sector." Asian Journal of Research in Social Sciences and Humanities 5, no. 9 (2015): 69. http://dx.doi.org/10.5958/2249-7315.2015.00219.1.

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19

NAGAO, Kenkichi. "Regional Employment Changes in Japanese Manufacturing Industry." Geographical Review of Japa,. Ser. A, Chirigaku Hyoron 69, no. 5 (1996): 303–26. http://dx.doi.org/10.4157/grj1984a.69.5_303.

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20

Adeniyi, Adetunji. "Manufacturing Output Growth and Employment in Nigeria." International Journal of Finance & Banking Studies (2147-4486) 10, no. 2 (July 18, 2021): 111–19. http://dx.doi.org/10.20525/ijfbs.v10i2.1274.

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The Manufacturing sector of the Nigerian economy can perform better in job creation, particularly during the period of economic expansion, which did not happen in the last period of economic growth between 1981 and 2014. Consequently, it is important to understand the real relationship between growth and job creation in the sector during the period. Therefore, this study investigated the employment intensity of gross value added growth in the sector during the period of growth, using Vector Error Correction Model (VECM) with a view to providing useful statistics to facilitate policies for the development of sectoral employment strategy during the next cycle of economic growth. Previous studies have either used descriptive statistics or less robust econometric models applied to aggregate data of shorter series and did not explore the inter-sectoral relationship effect. The estimated employment elasticity of gross value added in the sector was not significant at 95 per cent confidence level, and can, therefore, not be relied upon for pin-point policy. However, the inter-sectoral and inter-temporal relationships provided significant estimates, indicating that such relationships should be taken into account in designing and developing sectoral employment strategy for the manufacturing sector. There is future scope for the extension of research to cover periods of recession, as well, for example, post COVID-19.
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21

Borland, Jeff, and Lyn Foo. "The Composition of Employment in Manufacturing Industry." Journal of Industrial Relations 38, no. 3 (September 1996): 442–66. http://dx.doi.org/10.1177/002218569603800305.

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22

Harrison, Ann, and Margaret McMillan. "Offshoring Jobs? Multinationals and U.S. Manufacturing Employment." Review of Economics and Statistics 93, no. 3 (August 2011): 857–75. http://dx.doi.org/10.1162/rest_a_00085.

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23

Chacon-Hurtado, Davis, V. Dimitra Pyrialakou, and Konstantina Gkritza. "Investigating the Spatial Distribution of Manufacturing Employment." Transportation Research Record: Journal of the Transportation Research Board 2606, no. 1 (January 2017): 122–29. http://dx.doi.org/10.3141/2606-16.

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An extensive body of research examines the relationship between transportation and economic activity in a region; however, many of the studies ignore the possible spatial interdependencies between regions. As a result, these studies may over- or underestimate the role that transportation plays on the economic activity of a region. This paper contributes to the literature by exploring the relationship between the supply of transportation infrastructure and manufacturing employment concentration through a model that accounts for the spatial structure of the data at the zip code level. The modeling approach, which is demonstrated with a case study in Indiana, accounts for spillovers across areas by using a spatial autoregressive model with autoregressive disturbances. The results indicate that the high concentration of manufacturing employment in Indiana has been strongly associated with proximity to industrial parks, low commuting time, a higher percentages of firms with more than 100 employees, lower highway density, and proximity to intermodal facilities. The results of this study could benefit metropolitan or rural planning organizations and economic development groups that aim to design policies or plans to attract manufacturing activity to their regions.
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24

Alarcón, Diana, and Eduardo Zepeda. "Employment trends in the Mexican manufacturing sector." North American Journal of Economics and Finance 9, no. 2 (December 1998): 125–45. http://dx.doi.org/10.1016/s1062-9408(99)00002-9.

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25

Haile, Getinet, Ilina Srour, and Marco Vivarelli. "Imported technology and manufacturing employment in Ethiopia." Eurasian Business Review 7, no. 1 (May 17, 2016): 1–23. http://dx.doi.org/10.1007/s40821-016-0051-7.

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26

Armah, Bartholomew. "Trade Sensitive Manufacturing Employment: Some New Insights." Review of Black Political Economy 21, no. 2 (December 1992): 37–54. http://dx.doi.org/10.1007/bf02701735.

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Persistent trade deficits in the United States since 1971, and growing foreign competition have revived debate about the net effects of trade on the domestic economy. Focusing on the employment consequences of trade, this study examines the demographic and industrial characteristics of trade sensitive manufacturing industries in the United States. The findings reveal two significant trends. Firstly, there has been a decline in the importance of high-tech manufacturing as a source of trade related employment opportunities since 1975. Secondly, while trade enhanced industries still employ relatively fewer women and minorities than industries adversely affected by trade, the gap has narrowed, especially for women. Since 1975, the proportion of all women employed in adversely affected industries actually declined; for every 1 percent decline in female employment in an adversely affected manufacturing industry there was a corresponding 0.6 percent gain in employment in a trade-enhanced manufacturing industry.
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Ewing, Bradley T., and Shwetha N. Rao. "Employment Linkages in Technology Manufacturing in Texas." Information Technology Journal 5, no. 4 (June 15, 2006): 655–60. http://dx.doi.org/10.3923/itj.2006.655.660.

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28

Mazumdar, D. "The employment elasticity in manufacturing: a rejoinder." Cambridge Journal of Economics 29, no. 4 (May 3, 2005): 665–67. http://dx.doi.org/10.1093/cje/bei038.

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29

LaRochelle-Côté, Sébastien. "Tariff reduction and employment in Canadian manufacturing." Canadian Journal of Economics/Revue canadienne d'économique 40, no. 3 (July 23, 2007): 843–60. http://dx.doi.org/10.1111/j.1365-2966.2007.00433.x.

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30

Azizul Bat, Md, Monsur Ahmed Chowdhury, Anton Abdulbasah Kamil, and Rumana Momtaz. "Short-Run Employment Functions in Manufacturing Industries." Journal of Social Sciences 5, no. 4 (April 1, 2009): 292–300. http://dx.doi.org/10.3844/jssp.2009.292.300.

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31

Vivarelli, Marco, Rinaldo Evangelista, and Mario Pianta. "Innovation and employment in Italian manufacturing industry." Research Policy 25, no. 7 (October 1996): 1013–26. http://dx.doi.org/10.1016/0048-7333(95)00878-0.

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32

Sakurai, Kojiro. "Biased Technological Change and Japanese Manufacturing Employment." Journal of the Japanese and International Economies 15, no. 3 (September 2001): 298–322. http://dx.doi.org/10.1006/jjie.2001.0473.

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33

Anderton, R., and M. Desai. "Modelling Manufacturing Imports." National Institute Economic Review 123 (February 1988): 80–86. http://dx.doi.org/10.1177/002795018812300107.

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It is universally acknowledged that imports in the UK economy have risen very rapidly; import penetration in manufacturing has risen from 26 per cent in 1980 to 34 per cent in 1986. It is felt that any reflationary programme will have little impact on domestic employment since much of the extra spending power will be spent on imports, especially imports of manufactured goods. This has led to the firm belief that a reflationary programme has to be directed towards activities which have a lower import content and hence a higher domestic output and employment multiplier. This was the belief that made infrastructural expenditure such a popular option in the political discussions before the 1987 election.
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34

Cravino, Javier, and Sebastian Sotelo. "Trade-Induced Structural Change and the Skill Premium." American Economic Journal: Macroeconomics 11, no. 3 (July 1, 2019): 289–326. http://dx.doi.org/10.1257/mac.20170434.

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We study how international trade affects manufacturing employment and the relative wage of unskilled workers when goods and services are traded with different intensities. Manufacturing trade reduces manufacturing prices worldwide, which reduces manufacturing employment if manufactures and services are complements. International trade also raises real income, which reduces manufacturing employment if services are more income elastic than manufactures. Manufacturing production is unskilled-labor-intensive, so that these changes increase the skill premium. We incorporate these mechanisms in a quantitative trade model and show that reductions in trade costs had a negative impact on manufacturing employment and the relative wage of unskilled workers. (JEL F16, J24, J31, L60)
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Jena, Nihar, and Lina Thatte. "An Empirical Study of Elasticity of Employment Generated in Micro, Small and Medium Manufacturing Enterprises (Manufacturing MSMEs) in India." International Review of Business and Economics 1, no. 2 (2018): 73–108. http://dx.doi.org/10.56902/irbe.2018.1.2.2.

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World over SMEs are playing a major role in the sphere of socio-economic enhancement of lives of millions. In India, the Micro, Small & Medium Enterprises (MSMEs) contribute 8 per cent to the country’s GDP, 45 per cent to the manufactured output and 40 per cent to the country’s exports. They provide employment to 101 million people through 45 million enterprises. As an employment generator, MSMEs are the second largest employment opportunity provider only behind the agriculture sector. The MSMEs also act as a catalyst for social change by helping reduce the income inequality among various social classes as also between regions. Within MSMEs, the performance of the MSME manufacturing sector has been particularly worth considering. No study has been done yet to evaluate the elasticity of employment of the MSME manufacturing sector. Our paper aims to ascertain the value of employment elasticity in the MSME manufacturing sector by way of application of appropriate econometric techniques for the period 1973-74 to 2012-13.
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Aprilia, Wahyuni, Sudarti, and Syamsul Hadi. "ANALISIS KETIMPANGAN PENYERAPAN TENAGA KERJA SEKTOR INDUSTRI PENGOLAHAN DI KABUPATEN/KOTA JAWA TIMUR." Jurnal Ekonomi Pembangunan 14, no. 2 (January 9, 2017): 178. http://dx.doi.org/10.22219/jep.v14i2.3853.

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This study aims to analyze existence of inequality of employment absorption and determine the effect of the minimum salary, the number of manufacturing industry, and output of manufacturing industry towards inequality of employment absorption of manufacturing industry in regencies/cities of East Java in 2008-2012. The data collection method uses documentation method. Then, The writer uses the Index Entropy Theil (IET) to measure inequality of employment absorption as dependent variable. Meanwhile, to determine the effect of independent variable toward the dependent variable uses method regression analysis panel data with model common effect approach. The results of this study shows that there are inequality of employment absorption of manufacturing industry in East Java province of the Year 2008-2012. Minimum salary, the number of manufacturing industry, and theoutput of manufacturing industry effect positive and significant effect on inequalityof employment absorption ofmanufacturing industry in regions/cities in East Java.
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37

Essletzbichler, Jürgen. "The Geography of Gross Employment Flows in British Manufacturing." European Urban and Regional Studies 14, no. 1 (January 2007): 7–26. http://dx.doi.org/10.1177/0969776406068589.

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This article offers a first attempt to examine subnational differences in the determinants of gross employment flows in the British manufacturing sector utilizing the Annual Respondents Dataset (ARD) of the Office of National Statistics. The article has four broad aims. First, it examines how the job creation and destruction process in British manufacturing compares with the processes in other countries. Second, it examines how much job creation and destruction is the result of employment shifts from declining industries and post-code areas to growing industries and areas relative to employment turnover that occurs among plants within industries and areas.The results indicate that high rates of job creation and destruction occur simultaneously in contracting as well as expanding industries and areas, suggesting that differences in net employment change can only be considered as a first step to understanding employment turnover. Third, the article investigates differences in the driving forces of job creation and destruction for British postcode areas and uncovers pronounced variation in the forces generating and destroying employment. Fourth, the article examines how much of these subnational differences can be attributed to industrial structure and reveals that industry-mix accounts for a large part of employment turnover in postcode areas.The large variation in the driving forces of job creation and destruction leads to important consequences for employment policy.Policies which focus too narrowly on new-firm start-ups and small firms are likely to be insufficient in generating employment in all areas.
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38

Pierce, Justin R., and Peter K. Schott. "The Surprisingly Swift Decline of US Manufacturing Employment." American Economic Review 106, no. 7 (July 1, 2016): 1632–62. http://dx.doi.org/10.1257/aer.20131578.

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This paper links the sharp drop in US manufacturing employment after 2000 to a change in US trade policy that eliminated potential tariff increases on Chinese imports. Industries more exposed to the change experience greater employment loss, increased imports from China, and higher entry by US importers and foreign-owned Chinese exporters. At the plant level, shifts toward less labor-intensive production and exposure to the policy via input-output linkages also contribute to the decline in employment. Results are robust to other potential explanations of employment loss, and there is no similar reaction in the European Union, where policy did not change. (JEL D72, E24, F13, F16, L24, L60, P33)
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39

Asaleye, Abiola John, Rotdelmwa Filibus Maimako, Henry Inegbedion, Adedoyin Isola Lawal, and Adeyemi A. Ogundipe. "Real Exchange Rate and Manufacturing Performance in Nigeria." Academic Journal of Interdisciplinary Studies 10, no. 2 (March 5, 2021): 279. http://dx.doi.org/10.36941/ajis-2021-0058.

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The efficacy of currency devaluation to improve output in Nigeria is under debate, and coupled with an unsatisfactory result in the behaviour of the manufacturing sector performance regenerated interest of this study to investigate the impact of exchange rate on output and employment in the sector. The work uses Structural Vector Autoregression, ECM and Canonical Co-integrating Regression to examine the shock effect, short and long-run elasticities of exchange rate on the manufacturing performance. While employment and output are used as a proxy for manufacturing sector performance. The findings show that changes in the exchange rate are fairly elastic with output and employment both in short and long-run. However, changes in the exchange rate are insignificant with employment in the short run. The variance decomposition form the SVAR shows that forecast error shock of the exchange rate is more prolong on employment than output. Consequently, the result of the estimation of the Impulse Response Function from the Monte Carlos shows that one standard deviation of the exchange shock adversely affect employment. The outcome of the result indicates that the Nigerian exchange rate has not improved output and employment in the manufacturing sector. Several factors may be accounted for this, although, it may be due to cost-push inflationary pressure and unfavourable competitiveness. The study suggests the need to encourage long-term supply-side policies among others to improve the situation. Received: 7 June 2020 / Accepted: 9 January 2021 / Published: 5 March 2021
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40

Bell, D. A. "Employment skills for the robot age." Robotica 3, no. 2 (April 1985): 93–95. http://dx.doi.org/10.1017/s0263574700001788.

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Increasing productivity in manufacturing industry leads to a continuing shift in the balance between employment in ‘productive’ and in ‘service’ industries, the latter providing more employment at present in a ratio of about 70:30. This paper is primarily concerned with employment in manufacturing industry. Some have seen automation as a means of de-skilling jobs, but there is evidence of a gradual ‘upward’ shift of skill requirements in manufacturing industry: the unskilled workers are being eliminated and the skilled manual workers replaced by technicians with mental skills. This introduces the need for re-training and raises the question whether one can have a society in which there are no unskilled persons.
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41

Mendoza Cota, Jorge Eduardo. "US manufacturing imports from China and employment in the Mexican manufacturing sector." Cuadernos de Economía 35, no. 69 (September 1, 2016): 583–613. http://dx.doi.org/10.15446/cuad.econ.v35n69.46902.

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Since 2001 the Mexican manufacturing sector has experienced a reduced rate of growth. This study estimates the impact of US and Chinese industrial activity on the demand for labor in the sector. A time series cointegration model is developed using data on industrial activity, Chinese exports, wages and the peso: dollar exchange rate. The results show that exports from China to the USA and manufacturing wages have both affected labor demand negatively, while factors such as US industrial production and the exchange rate encourage manufacturing activity.
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42

Bui, Quang N., Trung X. Hoang, Nga T. V. Le, and Tung S. Tran. "Women’s Employment and Well-Being of Children Under 5 Years in Vietnam." Asia Pacific Journal of Public Health 30, no. 8 (November 2018): 708–16. http://dx.doi.org/10.1177/1010539518811160.

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This study investigates the impact of women’s employment in the manufacturing sector and in the services sector on the well-being of children aged 0 to 5 years in Vietnam. Our findings show that women’s employment decreases the quantity of time that mothers spend with their children. At the same time, women’s employment increases their income. The magnitude of the impact of women’s employment in the services sector on child nutrition is greater than that of women’s employment in manufacturing. This may be because of the higher income of mothers working in the service sector when compared to those working in manufacturing.
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43

McMillan, Margaret, and Albert Zeufack. "Labor Productivity Growth and Industrialization in Africa." Journal of Economic Perspectives 36, no. 1 (February 1, 2022): 3–32. http://dx.doi.org/10.1257/jep.36.1.3.

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Manufacturing has made an important contribution to raising living standards in many parts of the world. Concerns about premature deindustrialization have made some observers skeptical about the potential for manufacturing to play this role in Africa. But employment in African manufacturing has grown rapidly over the past 20 years. These employment gains have been accompanied by: (i) large increases in the number of small manufacturing firms; (ii) limited employment gains in large firms; and (iii) robust labor productivity growth in Africa’s large firms. Limited employment growth in Africa’s large manufacturing firms is partly a result of the capital intensity of the manufacturing subsectors in which African countries are most engaged—the processing of resources—and partly a result of rising capital intensity in manufacturing. The potential for manufacturing to raise living standards in Africa depends on indirect job creation by large firms through backward and forward linkages and increasing labor productivity in small firms.
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44

Sharma, Anand. "Dynamic Externalities and Regional Manufacturing Growth: Evidence from India." Studies in Business and Economics 12, no. 1 (April 1, 2017): 185–201. http://dx.doi.org/10.1515/sbe-2017-0014.

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AbstractUsing Annual Survey of Industries (ASI) dataset for 11 two-digit manufacturing industries and 20 states, this paper tests the relationship between dynamic agglomeration externalities and regional manufacturing growth for India. Three types of dynamic externalities have been proposed in the literature for explaining this relationship – Marshall-Arrow-Romer (MAR) specialization externalities, Jacobs’s diversity externalities, and Porter’s competition externalities. This paper examines the effect of these dynamic externalities on regional manufacturing employment and total factor productivity (TFP) growth for selected Indian industries between 2001-02 and 2011-12. The panel data model results show that dynamic externalities are important in influencing employment growth but they do not seem to have an impact on the growth of manufacturing productivity. Further, the results show that specialization externalities positively affect the employment growth of capital-intensive industries whereas diversity externalities favourably affect the employment growth in labour-intensive industries. Our results suggest that the importance of dynamic externalities should not be examined by pooling all industries. The results also highlight the importance of infrastructural investments for boosting the growth of manufacturing employment and productivity.
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45

Sholihah, Irma Mar'atus, Syaparuddin Syaparuddin, and Nurhayani Nurhayani. "Analisis investasi sektor industri manufaktur, pengaruhnya terhadap pertumbuhan ekonomi dan penyerapan tenaga kerja di Indonesia." Jurnal Paradigma Ekonomika 12, no. 1 (September 17, 2017): 11–24. http://dx.doi.org/10.22437/paradigma.v12i1.3930.

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This resource conducted to analyze the factors that influence investment in the manufacturing industry in Indonesia, analyze influence of investment the manufacturing industry to economic growth and employment of manufacturing in Indonesia. This resource uses approach of simultaneous with two stage square method (2SLS). The result shows that investment in the manufacturing industry simultaneously influenced by interest rate, exchange rate, and manufacturing industry employment. That infestation used as one of component of economic development an area because through investment, production capacity can be improved, then can be improved the output, which will eventually increase the economic growth and the manufacturing industry employment in Indonesia.
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46

Knudsen, D. C. "Manufacturing Employment Change in the American Midwest, 1977–86." Environment and Planning A: Economy and Space 24, no. 9 (September 1992): 1303–16. http://dx.doi.org/10.1068/a241303.

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In this paper, the changing pattern of manufacturing employment within the American Midwest for 1977–86 is examined as a function of four hypothesized trends in the US space-economy: national decline of industries concentrated in the Midwest; interregional shift in the focus of production within the USA; intraregional shift in the focus of production within the Midwest; and demetropolitanization of manufacturing. The degree to which each of these processes affects manufacturing employment change is treated here entirely as an empirical question and is examined by using an extended probabilistic shift-share model along the lines suggested by Theil and Gosh, and Knudsen and Barff. Results of the analysis indicate that change in manufacturing employment within the Midwest can be accounted for by interregional shift, intraregional shift, and the national decline of industries concentrated in the region, in that order. Once these other factors are accounted for, demetropolitanization of manufacturing played only a negligible role in changes in manufacturing employment within the region during the study period.
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47

Brown, Clair, and Ben Campbell. "Technical Change, Wages, and Employment in Semiconductor Manufacturing." Industrial and Labor Relations Review 54, no. 2A (March 2001): 450. http://dx.doi.org/10.2307/2696103.

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48

Pierce, Justin R., and Peter K. Schott. "The Surprisingly Swift Decline of U.S. Manufacturing Employment." Finance and Economics Discussion Series 2013, no. 004 (November 2013): 1–54. http://dx.doi.org/10.17016/feds.2014.004.

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49

Grabowski, Richard, and Sharmistha Self. "Agricultural Productivity, Human Development, and Manufacturing Employment: Africa." Journal of Developing Areas 56, no. 4 (September 2022): 17–28. http://dx.doi.org/10.1353/jda.2022.0061.

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50

Dunne, Timothy, and Mark J. Roberts. "The Duration of Employment Opportunities in U.S. Manufacturing." Review of Economics and Statistics 73, no. 2 (May 1991): 216. http://dx.doi.org/10.2307/2109511.

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