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Artykuły w czasopismach na temat „Manufacturing output”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Cole, Graham. "Food consumption and manufacturing output." Human Resource Management International Digest 24, no. 4 (2016): 38–40. http://dx.doi.org/10.1108/hrmid-04-2016-0041.

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Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Recent decades have witnessed growing concerns about obesity and serious medical conditions. These issues are especially prominent in the USA. One significant consequence is a stronger commitment toward improving health in the workplace. It is widely accepted that positi

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2

Thomas, D. G. "Output expectations within manufacturing industry." Applied Economics 27, no. 5 (1995): 403–8. http://dx.doi.org/10.1080/00036849500000145.

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Dhina, Arga Prati, and Wasiaturrahma Wasiaturrahma. "DETERMINANT OF INDONESIAN MANUFACTURING OUTPUT." Journal of Developing Economies 3, no. 1 (2018): 61. http://dx.doi.org/10.20473/jde.v3i1.8686.

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The role of manufacture in Indonesia influence the economic growth. This research aims to observe and analyze influencing factors of manufacturing sector output in Indonesia. The research method used Error Correction Model (ECM) at period 2005 in 1stquartal – 2017 in 4thquartal. This research used secondary data from Statistik Ekonomi dan Keuangan Indonesia (SEKI) and Federal Reserves. The results of the study show that in long term estimation lend interest rate and inflation have negative and significant impact, whereas FDI has positive and significant impact towards manufacturing sector outp

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4

Mohammadi, Hassan, and Rati Ram. "Manufacturing output and labor productivity." Economics Letters 32, no. 3 (1990): 221–24. http://dx.doi.org/10.1016/0165-1765(90)90101-6.

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5

Odeyinka, O. F., F. O. Ogunwolu, O. P. Popoola, and T. O. Oyedokun. "Process Capability Analysis in a Polypropylene Bag Manufacturing Company." Journal of Applied Sciences and Environmental Management 25, no. 8 (2021): 1477–82. http://dx.doi.org/10.4314/jasem.v25i8.30.

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Process capability analysis combines statistical tools and control charts with good engineering judgment to interpret and analyze the data representing a process. This work analyzes the process capability of a polypropylene bag producing company. The case study organization uses two plants for production and data was collected over a period of nine months for this study. Analysis showed that the output spread of plant 1 was greater than the specification interval spread which implies poor capability. There are non-conforming parts below the Lower Specification Limit (LSL: 500,000 metres) and a

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6

Chukwuedo, S. Oburota, and Eugene Okoi Ifere. "Manufacturing Subsector and Economic Growth in Nigeria." British Journal of Economics, Management & Trade 17, no. 3 (2017): 1–9. https://doi.org/10.9734/BJEMT/2017/29352.

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The manufacturing subsector has become increasingly important as the engine and driver of economic growth in both developing and developed economies. This study set out to investigate the relationship between manufacturing output and economic growth. The analysis was conducted using time series data from the period of 1981-2013. To quantify the relationship between manufacturing output and economic growth, an eclectic model consisting of both the Kaldor’s first law of growth and the endogenous growth model was estimated. Findings from the study showed that manufacturing output, capital and tec

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7

Sumner, Michael. "More on output expectations in manufacturing." Applied Economics 29, no. 3 (1997): 365–69. http://dx.doi.org/10.1080/000368497327146.

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8

Bivin, David G., and Brad R. Humphreys. "Accounting for output fluctuations in manufacturing." Applied Economics 41, no. 18 (2009): 2335–52. http://dx.doi.org/10.1080/00036840701222538.

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9

Olanrewaju (Ph.D), Saliu Mojeed. "Monetary Policy Transmission, Labour Force Participation and Real Sector Performance in Nigeria." International Journal of Research and Innovation in Social Science VIII, no. VII (2024): 2970–78. http://dx.doi.org/10.47772/ijriss.2024.807231.

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This study investigates the relationship that exist between the two major real sectors (Manufacturing and Agricultural sectors) and some selected explanatory variables (Bank loan to manufacturing and agricultural sector, interest rate, money supply, government expenditure and labour force participation). Using the Johansen cointegration technique, findings from the study confirmed the evidence of long-run co -movement among all the selected variables in the study. Findings from the study further reveal that the expansionary monetary policy stimulates and improves both manufacturing and agricul

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10

Egilmez, Gokhan, Khurrum Bhutta, Bulent Erenay, Yong Shin Park, and Ridvan Gedik. "Carbon footprint stock analysis of US manufacturing: a time series input-output LCA." Industrial Management & Data Systems 117, no. 5 (2017): 853–72. http://dx.doi.org/10.1108/imds-06-2016-0253.

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Purpose The purpose of this paper is to provide an input-output life cycle assessment model to estimate the carbon footprint of US manufacturing sectors. To achieve this, the paper sets out the following objectives: develop a time series carbon footprint estimation model for US manufacturing sectors; analyze the annual and cumulative carbon footprint; analyze and identify the most carbon emitting and carbon intensive manufacturing industries in the last four decades; and analyze the supply chains of US manufacturing industries to help identify the most critical carbon emitting industries. Desi

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11

Ray, George F. "Services for Manufacturing." National Institute Economic Review 117 (August 1986): 30–32. http://dx.doi.org/10.1177/002795018611700104.

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The most recent peak in the production of UK manufacturing industries was in 1973; ten years later, in 1983, the level of manufacturing output was still 15 per cent lower.In the same period the official output index for services (as measured by value added and other methods) increased markedly and one of its sections—Division 8, covering banking and finance, insurance, leasing, business and professional services—grew particularly rapidly, by about 70 per cent.

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12

Saber, Mustafa, Gökhan Eğilmez, Ridvan Gedik, and Yong Shin Park. "A Comparative Time-Series Investigation of China and U.S. Manufacturing Industries’ Global Supply-Chain-Linked Economic, Mid and End-Point Environmental Impacts." Sustainability 13, no. 11 (2021): 5819. http://dx.doi.org/10.3390/su13115819.

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Manufacturing activities of China and the U.S. account for a substantial portion of the global manufacturing output and environmental sustainability impacts. The two countries’ economies account for one third of the global economic output. Their supply chains are critically linked with and serve most of the production and service industries across the globe. Recent global trends in manufacturing necessitate a study that comparatively analyzes the two countries’ manufacturing industries from an economic and environmental perspective. In this paper, U.S. and China manufacturing industries were i

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13

Aiyedogbon, Prof J. O., Ezie Obumneke, and Ropheka E. Bot. "Monetary Policy Tools and Nigeria’s Manufacturing Sector Output." International Journal of Research and Innovation in Social Science VII, no. VIII (2023): 1101–14. http://dx.doi.org/10.47772/ijriss.2023.7887.

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Manufacturing sector output has been experiencing dwindling output over the years, despite the efforts by the monetary authorities. Manufacturing sector in any economy is seen as one of the drivers of industrialization and economic development, as such government policies affect their performance. Hence, this paper examined the asymmetric effect of monetary policy tools on Nigeria’s manufacturing sector output between 1986 and 2022. Non-linear Autoregressive Distributed Lag (NARDL) method was adopted in carrying out empirical analysis. Cointegration using bounds test revealed the variables hav

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14

Bergoeing, Raphael, Timothy J. Kehoe, Vanessa Straus-Kahn, and Kei-Mu Yi. "Why Is Manufacturing Trade Rising Even as Manufacturing Output is Falling?" American Economic Review 94, no. 2 (2004): 134–38. http://dx.doi.org/10.1257/0002828041302299.

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15

Adeniyi, Adetunji. "Manufacturing Output Growth and Employment in Nigeria." International Journal of Finance & Banking Studies (2147-4486) 10, no. 2 (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

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16

Bywaters, David, and Gareth Thomas. "Output Expectations and Forecasting of UK Manufacturing." Atlantic Economic Journal 36, no. 2 (2008): 125–37. http://dx.doi.org/10.1007/s11293-008-9110-5.

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17

Krisnawati, Dini Mellinda. "The Influence of Monetary Policies on Manufacturing Output." Efficient: Indonesian Journal of Development Economics 6, no. 2 (2023): 146–55. http://dx.doi.org/10.15294/efficient.v6i2.60219.

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The aim of this study is to examine the effect of monetary policies on manufacturing outputs in Indonesia. This research uses a quantitative method with the Engle-Granger Error Correction Model (E-G ECM) analysis. This study applies monetary policies variables which consist of broad money, foreign exchange reserves, inflation, and Bank Indonesia interest rates on the outputs of the manufacturing sector reflected in the value of the gross domestic product of the manufacturing sector. The data are time-series data from 2010 Q1 to 2021 Q4. The results show that in the short run, inflation signifi

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18

Korgbeelo, Clement, and Leelee N. Deekor. "Time-Series Analysis of Industrial Sector Performance and Economic Growth in Nigeria: A Disaggregated Approach." Cross Current International Journal of Economics, Management and Media Studies 3, no. 4 (2021): 35–46. http://dx.doi.org/10.36344/ccijemms.2021.v03i04.001.

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This study investigated the impact of industrial section performance on economic growth in Nigeria. Specifically, the study examined the impact of manufacturing sector output, mining and quarrying sector output, utility sector output and construction sector output on economic growth proxied by per capital real gross domestic product in Nigeria. Phillips-Perron unit root test, Johansen cointegration test and error correction mechanism (ECM) were applied on annual time-series data for the period 1981 to 2019. The findings indicated a long-run relationship between industrial sector performance an

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19

Iftasari, Triyana. "THE EFFECT OF ENERGY CONSUMPTION, FIXED CAPITAL AND LABOR COST ON MANUFACTURING OUTPUT IN INDONESIA." International Journal of Multidisciplinary Research and Literature 1, no. 5 (2022): 566–72. http://dx.doi.org/10.53067/ijomral.v1i5.79.

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This study aims to determine the effect of energy consumption, fixed capital and labor cost on manufacturing output in Indonesia in 2017-2019. This research is associative research and the method used is a quantitative approach. The data used in this study is panel data collected through documentation techniques. To analyze the data in this study using regression analysis and assistance in the form of an application Econometric Views (Eviews 12). The test results show that energy consumption has a positive effect on manufacturing output, fixed capital has a positive effect on manufacturing out

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20

Ibrahim, Musa, Salisu Ali, and Magaji Sule. "Impact of External Debt Shocks on Real Sector of the Nigerian Economy from 1986 to 2020: Application of SVAR Modeling." International Journal of Novel Research in Education and Learning 11, no. 3 (2024): 18–28. https://doi.org/10.5281/zenodo.11219964.

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<strong>Abstract:</strong> This Study investigated the impact of external debt shocks on real sector of the Nigerian economy using annual time series data from 1986 to 2020. Specifically, it investigated the impact of external debt shocks on agricultural output in Nigeria. Augment Dickey Fuller and Phillips Perron unit root tests were used and the tests show that all the variables under study are stationery at first difference. The study, also, employed Structural VAR model, the results from the impulse response functions revealed that, manufacturing output has a negative shocks impacts on agr

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21

Edet, Ene Ene, James, Tumba Henry, Effiong Charles Efefiom, Ishaku Rimamtanung Nyiputen, and Eduno, Ededet Bassey. "Electricity Supply and Manufacturing Sector Output in Nigeria." Energy Economics Letters 9, no. 1 (2022): 44–54. http://dx.doi.org/10.55493/5049.v9i1.4570.

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This study investigated the impact of electricity supply on manufacturing output in Nigeria using data from 1980 to 2019. By augmenting the endogenous growth model production function with key variables affecting manufacturing sector output, such as exchange rate and technology, which previous studies failed to capture. The result of the autoregressive distributed lag (ARDL) model revealed that electricity supply has a negative and insignificant relationship with the manufacturing sector output. Conversely, technology has a positive and significant relationship with manufacturing sector output

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Zahroo, Agustin Fathimatuz. "Analisis Keterkaitan Sektor Industri Pengolahan Terhadap Perekonomian di Provinsi Jawa Timur (Pendekatan Input Output)." Jurnal Ilmu Ekonomi JIE 6, no. 2 (2022): 189–202. http://dx.doi.org/10.22219/jie.v6i2.20459.

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Against the Economy in East Java (Input Output Approach). Along with the rapid development of industrialization, the manufacturing sector has increased and shifted the agricultural sector. This article aims to examine the relationship between the manufacturing sector and other sectors in East Java Province and examine the impact of the manufacturing sector multiplier. Analysis of input output with secondary data Input Output. The results show that the manufacturing sector; service sector; agriculture, forestry and fisheries have forward linkages to the manufacturing sector. Furthermore, the in

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23

Efuntade Olubunmi, Omotayo, and Olusegun Efuntade Alani. "ASSESSMENT OF LONG RUN RELATIONSHIP BETWEEN EXCHANGE RATE AND MANUFACTURING SECTOR’S OUTPUT: EVIDENCE FROM NIGERIA." Kampala International University Interdisciplinary Journal of Humanities and Social Sciences 2, no. 1 (2021): 444–55. http://dx.doi.org/10.59568/kijhus-2021-2-1-27.

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The main aim of this research is to examine the relationship between exchange rates and manufacturing output in Nigeria. The research paper made use of secondary data in reaching the objectives of this research work. Data were sourced mainly from Central Bank of Nigeria (CBN) Statistical Bulletin, CBN Statement of Accounts and Annual Reports, and the Nigerian Bureau of Statistics publications. The variables for which data are sourced include: manufacturing output, manufacturing capacity utilization, exchange rate, government expenditure, inflation rates and interest rate for the period 1980 to

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24

Lee, Kevin, and Kalvinder Shields. "Measuring Output Trends Using Actual and Expected Output in UK Manufacturing, 1975-98." Manchester School 68, s1 (2000): 75–91. http://dx.doi.org/10.1111/1467-9957.68.s1.5.

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Chinemerem, Osuji Casmir, Erhijakpor Andrew E.O, and Oshiobugie Omolegie Bruno. "Deficit financing approaches and the Nigerian sector’s output." Linguistics and Culture Review 6 (December 15, 2021): 194–211. http://dx.doi.org/10.21744/lingcure.v6ns1.1995.

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This study examined the effect of deficit financing on Sectorial Output in Nigeria from 1986–2020. The independent variable in the study is deficit financing measured by domestic debt, foreign debt, budget deficit, and Foreign exchange reserve while the dependent variable in the study is Sectorial Output measured by Manufacturing Sector and Services Sector Output. Accordingly, the two models support the ARDL Methodology since they reported mixed integration. The study found that domestic debt has a positive significant effect on Sectorial Output in Nigeria. More so, Foreign Debt has a negative

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Onakoya, Adegbemi Babatunde. "Macroeconomic Dynamics and the Manufacturing Output in Nigeria." Mediterranean Journal of Social Sciences 9, no. 2 (2018): 43–54. http://dx.doi.org/10.2478/mjss-2018-0024.

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AbstractThis paper examined the impact of the changes in the macroeconomic factors on the output of the manufacturing sector in Nigeria from 1981 to 2015. Preliminary evaluation of the data was conducted using both descriptive statistics and stationarity evaluation. The test indicated that not all the variables are normal. The occurrence of order integration at first level difference necessitated the deployment of the Johansen cointegration test. The findings revealed no short run association among manufacturing output and each of GDP, exchange rate, broad money supply and unemployment rate. N

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27

Ogundipe, Adeyemi A., and Favour O. Olarewaju. "Manufacturing Output and Labour Productivity: Evidence from ECOWAS." Academic Journal of Interdisciplinary Studies 9, no. 5 (2020): 102. http://dx.doi.org/10.36941/ajis-2020-0089.

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The manufacturing sector is one growth enhancing, yet grossly neglected by many resource rich economies in Africa. It is adjudged critical to Africa economies due to its capacity to generate growth, accumulate wealth and tighten the inequality gap. The sector has been growing at a relatively slow rate, particularly due to the occurrence of four extreme inter-connected external shocks: fall in commodity (particularly oil) prices, global economic and financial crisis, and rise in energy and food prices which have worsened regional output and productivity levels. More importantly, the human capit

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28

Bottazzi, Giulio, Marco Grazzi, and Angelo Secchi. "Input output scaling relations in Italian manufacturing firms." Physica A: Statistical Mechanics and its Applications 355, no. 1 (2005): 95–102. http://dx.doi.org/10.1016/j.physa.2005.02.070.

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Black, I. G., and M. Peters. "Why are UK manufacturing inventory-output ratios falling?" International Journal of Production Economics 35, no. 1-3 (1994): 1–9. http://dx.doi.org/10.1016/0925-5273(94)90058-2.

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Renshaw, Edward F. "Labor Cost Per Unit Of Output In Manufacturing." Journal of Fixed Income 4, no. 1 (1994): 77–79. http://dx.doi.org/10.3905/jfi.1994.408103.

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Estrada-Vargas, Ana Paula, Ernesto López-Mellado, and Jean-Jacques Lesage. "Input–output identification of controlled discrete manufacturing systems." International Journal of Systems Science 45, no. 3 (2012): 456–71. http://dx.doi.org/10.1080/00207721.2012.724098.

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Dr., Ali Elhassan Mohammed Nour Zaroog, and Ibrahim Hussaini Ibrahim Mr. "The Effect of Liberalization Policy on manufacturing Sector in Nigeria for the Period (1986-2018)." Journal of Afro-Asian Studies 6, no. 23 (2024): 33. https://doi.org/10.5281/zenodo.14191229.

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<strong><em>Abstract:</em></strong> <em>The study aims to examine the impact of trade liberalization on manufacturing output in Nigeria. The objectives of the study are: to examine the impact of exchange rate, gross fixed capital and economic growth on manufacturing output. The study depends on following hypotheses: Exchange rate, Fixed Capital Formation and Economic growth dynamics has a significant impact on manufacturing output in Nigeria. The study used a Vector Auto Regression (VAR) model for the time series data during the period (1986-2018). The result also shows that, exchange rate, ha

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33

Kumar, Raman, and Harwinder Singh. "Exploring the success factors for examining the potential of manufacturing system output." Benchmarking: An International Journal 25, no. 4 (2018): 1171–93. http://dx.doi.org/10.1108/bij-10-2016-0156.

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Purpose The purpose of this paper is to explore the success factors for the assessment of manufacturing system output. Design/methodology/approach Exploratory factor analysis and second-order confirmatory factor analysis were used to analyze data and test hypotheses, respectively. A total of 36 observed variables were transformed into nine success factors, namely role of management (ROM), technical strength, employee strength, organizational strength (OS), resources (RS), production system, market research, effective planning, and research and development (RD). Findings The finding indicates t

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34

Chu, Peng, and Zhu Jiang. "Measurement of Servitization Level of Manufacturing Industry based on Input-Output." Journal of Innovation and Development 4, no. 3 (2023): 43–48. http://dx.doi.org/10.54097/jid.v4i3.12848.

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To measure the servitization level of the manufacturing industry in Shaanxi Province and reveal the current situation of the servitization input and output. Based on the input-output tables of the whole country, Shaanxi provinces from 2002 to 2017, the direct consumption coefficient and the complete consumption coefficient are calculated to measure the input servitization level of Shaanxi's manufacturing industry and its subsectors. 56 listed manufacturing companies in Shaanxi Province were selected to measure the servitization level of manufacturing output in Shaanxi Province. The results sho

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35

Ogar, Owan Jacob, Ifere Eugene Okoi, and Odey Ferdinand Ite. "The Impact of Manufacturing Output on Employment in Nigeria." International Journal of Developing and Emerging Economies 12, no. 2 (2024): 1–23. https://doi.org/10.37745/ijdee.13/vol12n2123.

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Nigeria has lower manufacturing employment than other industries for several reasons, including it share to Gross domestic product. Nigeria's manufacturing sector contributes less than 10 percent of the nation's GDP. This suggests that the sector's overall economic production is weak, which may restrict its ability to provide job opportunities to the teeming populace. This study investigates the impact of manufacturing output on employment in Nigeria. The Autoregressive Distributive Lag (ARDL) estimation technique was used to establish the long run relationship among the variables. It was reve

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36

Masina, Bathusile, and Paul Lekoadi. "Microstructure investigation of laser additively manufactured Si/SiC ceramic." MATEC Web of Conferences 406 (2024): 07016. https://doi.org/10.1051/matecconf/202440607016.

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This study reports on the microstructure properties of Si/SiC ceramic produced using a laser additive manufacturing process. Several specimens of different laser energy density outputs were produced. The structural analysis revealed that the microstructure was significantly affected by the reduction of the laser energy density output whereby defects such as porosity were observed. It was found that the microstructure properties showed significant improvement at 4819 J/cm2, laser energy density output. No new phases were found due to the increased laser energy density output.

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Henry Imogiemhe, IDOGUN. "ELECTRICITY CONSUMPTION AND MANUFACTURING SECTOR OUTPUT IN NIGERIA: AN ARDL APPROACH." International Journal of Business Management and Economic Review 08, no. 03 (2025): 80–97. https://doi.org/10.35409/ijbmer.2025.3674.

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Different factors have been adduced for Nigeria’s poor manufacturing sector performance. One of the problems could be the economy’s persistent poor electricity supply to the manufacturing sector over time. Therefore, this study examined the effect of electricity on the growth of manufacturing sector in Nigeria from 1981 to 2022. It employed the Auto Regressive Distributed Lag (ARDL) bounds testing approach to co-integration analysis to establish the long run relationship between the relevant time series data. The result revealed that manufacturing sector output and selected variables of manufa

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38

Rosemary, Ikeobi Nneka. "Capital market intermediation and manufacturing sector financing in Nigeria." International Journal of Business Management and Finance Research 6, no. 1 (2023): 1–10. http://dx.doi.org/10.53935/26415313.v6i1.247.

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This paper assesses the intermediary role of the Nigerian Capital Market in financing the manufacturing sector, by examining the relationships between proxies of capital market intermediation and manufacturing output. To examine the relationships, secondary data covering a 13-year period from 2008 to 2020 were obtained from the Statistical Bulletin of the Central Bank of Nigeria. The secondary data included manufacturing output (MANUF), market capitalization (MCAP), equities (EQUITY) and corporate bonds (CORPBD). Manufacturing output was used as dependent variable, while capital market instrum

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Joshua-Gyang, Emily. "Impact of Fiscal Policy Indicators on the Manufacturing Sector in Nigeria." International Journal of Advanced Research in Tourism, Environment and Social Science 3, no. 1 (2024): 36–53. http://dx.doi.org/10.48028/iiprds/ijartess.v3.i1.04.

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The government encourages the manufacturing industrial sector by coordinating fiscal measures and all the fiscal policies are blueprints and methods used to generate income, make expenditures, and repay debts in the process of governing the economy and improving industrial output. Therefore, the study examined the impact of fiscal policy on manufacturing industrial sector in Nigeria from 1987 to 2022. e study adopted the ex post facto research design and secondary data which are time series data and were sourced from the Central Bank of Nigeria Statistical Bulletin December 2022. e study furth

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40

Lawrence, U. Egbadju. "Impact of Banks’ Credits and Capital Market Dynamics on the Performance of the Manufacturing Sector in Nigeria: An ARDL Bounds Testing Approach." IIARD INTERNATIONAL JOURNAL OF BANKING AND FINANCE RESEARCH 9, no. 3 (2023): 191–228. http://dx.doi.org/10.56201/ijbfr.v9.no3.2023.pg191.228.

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In this study, we examined the impact which bank credits and some capital market variables had on the performance of the Nigerian manufacturing sector. Secondary time series data from 1986 to 2017 was used which was analysed using an ARDL bounds testing to cointegration. The results showed that while MCR negatively and significantly impacted on manufacturing output, TVTR and ASI positively and significantly increased the growth of the manufacturing output. BCRM, on the other hand, impact on manufacturing output was positive but insignificant. We made some recommendations.

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Aiyedogbon, John O., Olorunfemi George Monday, and Obumneke Ezie. "The Effect of Fiscal Policy on Manufacturing Sector Output in Nigeria." International Journal of Research and Innovation in Social Science VII, no. IX (2023): 1712–22. http://dx.doi.org/10.47772/ijriss.2023.71038.

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The objective of the paper is to investigate the effect of fiscal policy on manufacturing sector output in Nigeria between 1986 and 2021. The type of data utilized was secondary and was extracted from the Central Bank of Nigeria’s 2021 statistical records. The Fully modified ordinary Least Square method of analysis was adapted in carrying out the analysis. Unit root tests were carried out on each of the variables used in the study to avoid spurious regression results, and the results confirmed variables are all stationary at first difference. The Co-integration ARDL bound test showed that long

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Sakanko, Musa Abdullahi, Jeremiah Nshe Manomi, Abubakar Ijoko, and Usman Abdulkareem Audu. "Do Tax Policies in Nigeria Have Similar Implications for the Manufacturing Sector Output?" ETIKONOMI 21, no. 2 (2022): 269–80. http://dx.doi.org/10.15408/etk.v21i2.25118.

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The study examines whether tax policies in Nigeria have similarimplications on the manufacturing sector’s output during the1994Q1-2020Q4 period using the ARDL bounds testing approach.The bounds testing result suggests the presence of cointegrationbetween tax policies and the manufacturing sector output. Further,the estimation results demonstrate that company income tax (CIT)and import tax are positively related to manufacturing sectoroutput. In contrast, value-added tax (VAT) has a negative effecton the manufacturing sector output, both in the short- and longterm.In addition, the results of th

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Permana, Tirta Wisnu, Gatot Yudoko, and Eko Agus Prasetio. "Forecasting the potential output and growth of the manufacturing industry: a case study of Indonesia's manufacturing sector." Jurnal Ekonomi & Studi Pembangunan 24, no. 2 (2024): 368–89. http://dx.doi.org/10.18196/jesp.v24i2.18716.

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Indonesia is currently experiencing deindustrialization, characterized by a manufacturing industrial sector growth rate lower than the overall economic growth rate. Therefore, it is necessary to encourage the development of the industrial sector to achieve sustainable development. The scenario for industrial development policy is determined based on an evaluation of the country's economic position in relation to current business cycle conditions. The evaluation is carried out through output gap analysis, which refers to the gap between actual and potential output. The research aim is to analyz

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Babasanya, Adeyemi Olayiwola, Babatunde Adekunle Okuneye, and Joseph Nwabueze Amaefule. "Interacting labour force and Human Capital Development Effects on Manufacturing Sector Productivity." ETIKONOMI 24, no. 1 (2025): 221–32. https://doi.org/10.15408/etk.v24i1.38648.

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Research Originality: The adoption of technology in the industrial world requires a high-quality workforce. This research provides a novelty by testing human capital development against the output of the manufacturing industry.Research Objectives: This study analyzes the interactive impact of the industrial labor force and human capital development on manufacturing sector output in the West African Sub-Region from 1989 to 2022.Research Methods: The study adopted an ex post facto research design. The data used for analysis was sourced from the World Development Indicator (WDI), and the Panel AR

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Agbarakwe, Ugochukwu Henry, and Donatus Fii. "Trade Policy and Manufacturing Sub-Sector Output in Nigeria (1986-2020)." Global Academic Journal of Humanities and Social Sciences 5, no. 05 (2023): 217–35. http://dx.doi.org/10.36348/gajhss.2023.v05i05.003.

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The objective of the research was to determine the relationship between trade policy and the output of the manufacturing sector. Three hypotheses were formulated. The study adopted ordinary least squares econometric approach on the time series data from 1986 to 2020 to generate the estimates of the models to test the hypotheses at 5% level of significance. The research concluded that there is a positive relationship between manufacturing sector output the and trade liberalization while there is a negative relationship between trade protectionism and manufacturing sector output in Nigeria for t

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Hodge, Duncan. "Commodity prices, the exchange rate and manufacturing in South Africa: what do the data say?" African Journal of Economic and Management Studies 6, no. 4 (2015): 356–79. http://dx.doi.org/10.1108/ajems-09-2013-0085.

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Purpose – The purpose of this paper is to investigate the empirical relationships between changes in OECD output, commodity prices, the real exchange rate, real money supply, unit labour costs and manufacturing in South Africa. In particular, to test a version of the Dutch disease argument that increases in the prices of South Africa’s main commodity exports have had a negative effect on domestic manufacturing against the alternative hypothesis that there is a positive relationship between such changes in commodity prices and domestic manufacturing output. Design/methodology/approach – Constru

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Clement Korgbeelo. "Industrial Sector Performance and Labour Force Participation in Nigeria: A Gender Perspective." American Journal of Economics and Business Management 7, no. 9 (2024): 598–616. http://dx.doi.org/10.31150/ajebm.v7i9.2918.

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The literature on the role of industrialization in labour force participation in Nigeria is quite scanty. Besides, there is significant disparity between male and female labour force participation rates in the country. To this end, this study investigated the impact of industrial sector performance on labour force participation in Nigeria. The total industrial sector output was disaggregated into the outputs of the various components of the Nigerian industrial sector namely; manufacturing, mining and quarrying, utility and construction sectors. Total labour force participation rate was equally

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IHEZIE, Okwuchukwu Ezra. "EXCHANGE RATE VOLATILITY AND MANUFACTURING OUTPUT IN ECOWAS ECONOMIES." Management of Sustainable Development 14, no. 1 (2022): 43–50. http://dx.doi.org/10.54989/msd-2022-0007.

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This study examined the impact of exchange rate volatility on manufacturing output in the ECOWAS, using time series data spanning from 1970 to 2019. The study employed panel data analysis to examine the relationship between exchange rate volatility and manufacturing output among all the ECOWAS countries. GARCH was used to establish the existence of volatility; Dumitrescu & Hurlin Granger non-causality test for causality direction between manufacturing and exchange rate, while Panel fixed, and random effect model was used to assess the magnitude of the effects of exchange rate volatility on

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Abdulrahman, Abubakar, Akpan Michael, and Aigbedion Marvelous. "Impact of Trade Liberalization on Oil Manufacturing Sector Output in Nigeria: 1981-2022." Research Journal of Humanities, Legal Studies & International Development 6, no. 1 (2024): 239–55. https://doi.org/10.48028/iiprds/rjhlsid.v6.i1.20.

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The contribution of the oil manufacturing sector output in Nigeria has raised concerns about whether or not the country has benefited from trade liberalization, especially when considering the country's major oil manufacturing sector. Therefore, this paper used the autoregressive distributed lag (ARDL) technique to investigate the short-run and long-run impacts of trade liberalization on the output of Nigeria's oil manufacturing sector. The analysis utilized a unit root test to integrate the data in a distinct sequence, and the ARDL Bounds tests validate the co-integration, indicating a long-t

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Ueda, Skigeta, Mitsuyuki Hombu, and Akiteru Ueda. "Output waveforms analysis of CSI with sinusoidal outputs." IEEJ Transactions on Industry Applications 109, no. 9 (1989): 653–60. http://dx.doi.org/10.1541/ieejias.109.653.

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