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Journal articles on the topic 'Labor productivity'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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1

Thi, Ngoc Mai Pham, Thu Huong Nguyen Thi, and Bich Ngoc Nguyen Thi. "Overview on Labor Productivity." International Journal of Management Sciences and Business Research 09, no. 11 (November 30, 2020): 53–61. https://doi.org/10.5281/zenodo.5036137.

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<em>Labor productivity is a determining factor to competition capacity of economies in general and enterprises in particular, especially in developing countries like Vietnam. In order to catch up with labor productivity of other countries, Vietnam needs to change growth model based on labor productivity, quality and efficiency, in which focusing on improving labor productivity. Enterprises account for a large share of GDP and play an important role in labor productivity enhancement of almost of economies.</em>

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2

Uskova, T. "Labor Productivity." Problems of Economic Transition 53, no. 1 (May 1, 2010): 51–62. http://dx.doi.org/10.2753/pet1061-1991530104.

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3

Kapeliushnikov, Rostislav I. "Labor Productivity and Labor Compensation." Problems of Economic Transition 57, no. 11 (November 2, 2015): 1–34. http://dx.doi.org/10.1080/10611991.2014.1121083.

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4

Simpao, Kristine Joy S., and Bah Kenneth Kwasui. "Time Series Analysis of Manufacturing Industry Labour Productivity and Economic Growth: The Case of Cameroon 1990-2019." Peninsulares International Journal of Innovations and Sustainability (PIJIS) 2, no. 2 (December 18, 2024): 18. https://doi.org/10.5281/zenodo.15009334.

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This research, conducted with meticulous rigor, aims to investigate the impact of labor productivity in the manufacturing industry on Cameroon's economy over the past 30 years (1990-2019). The study, which relies on robust data from the World Bank Development Indicators (2020) and the International Labour Organization Office (2020), employs multiple linear regressions and econometric analysis. The statistically significant findings reveal that increased labor productivity in the manufacturing industry leads to a rise in real GDP. However, the results also indicate that between 1990 and 2019, labor productivity had a positive but insignificant impact on economic growth in Cameroon. In light of these findings, the paper proposes policy implementations that could significantly influence labor productivity's role in Cameroon's economic development, offering a promising future for the country.

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5

Shcherbakov, A. I. "MEASURING LABOR PRODUCTIVITY." Social & labor researches 52, no. 3 (2023): 80–86. http://dx.doi.org/10.34022/2658-3712-2023-52-3-80-86.

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The subject of the study is the types of labor productivity, as well as the essential differences between individual ways of measuring it, including measuring the result and costs of labor activity, the nature and content of the corresponding labor productivity indicators. The purpose of the article is to argue the unacceptability of some methods of measuring labor productivity proposed in the scientific discussion and to identify scientifically sound approaches and parameters that reflect the return of living labor as one of the factors of production. The relevance of this paper is related to the need for measures to activate the economy mainly on the basis of increasing labor productivity in the face of foreign economic challenges and the aggravation of military threats to Russia. The scientific novelty of the article consists in substantiating the refutation of proposals on the use of purely monetary parameters and material components in measuring labor productivity, as well as in arguing the expediency of using the costs of living labor for this and better accounting of its results. The idea of a certain monetary-conjunctural labor efficiency is introduced. The research methods are analysis, systematization, synthesis, induction and deduction. As a result, the scientific parameters of the priority methodological and practical tools for measuring labor productivity for the purposes of state socio-economic policy and corporate governance were determined. The article also formulates the author’s positions on a number of debatable issues related to the inevitability of reducing the cost of production with an increase in labor productivity at the enterprise, the concepts of “productivity” and “labor productivity”, generally accepted standards for measuring the latter, etc.

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6

Burtseva, T. A., A. A. Frenkel, and A. A. Surkov. "Statistical Modeling of Regional Labor Productivity." Voprosy statistiki 29, no. 4 (September 6, 2022): 62–70. http://dx.doi.org/10.34023/2313-6383-2022-29-4-62-70.

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The article from the perspective of interregional comparative analysis methodology substantiates the system of labor productivity factors and presents the results of statistical modeling of labor productivity in the regions of Russia in 2020.The shortcomings of the existing measures of labor productivity in international and domestic practice are noted, namely, the ambiguity and inconsistency of the assessment results. The authors propose a technique for constructing an integral index of regional labor productivity and substantiate a four-factor econometric model of the dependence of the integral index of regional labor productivity, which allowed for an improved system of labour productivity factors to be applied in regional economic analysis. Estimates are given of the relative impact of both traditional and new factors of regional labor productivity, which are the increasing incidence rate and the growing share of unprofitable enterprises (organizations), investments and industrial output per capita in the regions of Russia in 2020.The need to monitor regional labor productivity factors annually to help bring forward problems in the regions is justified. The reasons that led to the insufficient level of labour productivity (compared to Russian average) were identified. According to the authors (following the results of socio-economic development in 2020), they should include low growth rates of investment and production volumes, as well as an increase in the incidence and in the share of unprofitable enterprises and organizations.

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7

Andriani, Devita, and Riko Setya Wijaya. "Determinan Produktivitas Tenaga Kerja Provinsi Jawa Timur." PROMOSI (Jurnal Pendidikan Ekonomi) 12, no. 2 (November 19, 2024): 109. https://doi.org/10.24127/jp.v12i2.10189.

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Labor productivity describes the total output produced by labor in a certain period of time. Based on the measurement of the level of labor productivity in regencies/cities in East Java, it is known that there are inequalities between regions. In addition, the provincial productivity level fluctuated during 2017-2021. This study aims to determine the factors that affect labor productivity with the variables studied are Dependency Ratio, Education, and Minimum Wage in 38 districts / cities in East Java Province in the period of 2017 - 2021. This study used panel data analysis which is fixed effect model is the best model. The results show that the dependency ratio variable has no effect on labour productivity. The education variable has a significant negative effect on labour productivity while the district/city minimum wage variable has a significant positive effect on labour productivity in 38 districts/cities in East Java.

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8

Yilmaz, Rasim. "THE RELATIONSHIP BETWEEN EXPENDITURE AND LABOR PRODUCTIVITY." Southeast European Review of Business and Economics 3, no. 1 (June 2022): 65–74. http://dx.doi.org/10.20544/serbe.05.01.22.p04.

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Theoretically, the relationship between health expenditures and labour productivity is ambiguous. On the one hand, health expenditures can enhance labour productivity by improving health of workers. Poor health impairs both the working hours and productivities of workers. When workers are healthy, they become physically and mentally more energetic and they have higher incentive to develop new skills and knowledge. On the other hand, increase in health expenditures may deteriorates labour productivity by crowding out physical capital investment. Causality between health expenditures and labour productivity is also ambiguous. This paper investigates the long-run relationship between health expenditures and labor productivity by utilizing a panel data covering the period between 2000 and 2015 and 35 OECD countries. Results of the study displays that there is a positive and statistically significant long-run association between health expenditures and labor productivity. Findings indicate that an increase in per capita health expenditure leads to a rise in labor productivity in terms of GDP per person employed. Results of the study also suggest that there is a mutual (bi-directional) causality relationship between health expenditures and labor productivity indicators.

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9

Lee, Youngjae. "Labor Outsourcing and Labor Productivity Illusion." Journal of Industrial Economics and Business 35, no. 5 (October 31, 2022): 1029–51. http://dx.doi.org/10.22558/jieb.2022.10.35.5.1029.

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10

Jaroszewska, Joanna, and Włodzimierz Rembisz. "SOURCES OF THE DYNAMICS OF LABOR PRODUCTIVITY CHANGES IN AGRICULTURE IN EUROPEAN UNION COUNTRIES BASED ON ECONOMIC ACCOUNTS FOR AGRICULTURE (EAA)." Annals of the Polish Association of Agricultural and Agribusiness Economists XX, no. 2 (May 7, 2018): 72–77. http://dx.doi.org/10.5604/01.3001.0011.8118.

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The purpose of this analysis is to illustrate sources of dynamics of labour productivity factor performance based on the analytical approach adopted. The dynamics of gross value added and employment in agriculture were shaped to the dynamics of labor productivity changes. Derived analytical approach to the sources of dynamics of changes in labour productivity has been illustrated empirically. The empirical analysis was based on EU ROSTAT data. Economic Accounts for Agriculture and Statistics of Agricultural Labor Inputs. The positive impact of both sources of labor productivity growth and gross value added a tendency towards greater stability for the EU -15 countries has been demonstrated, the neutral nature of direct payments for changes in labor productivity was found.

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11

Gołaś, Zbigniew. "Przemiany i uwarunkowania wydajności pracy w rolnictwie Unii Europejskiej w latach 2005-2016." Roczniki Naukowe Ekonomii Rolnictwa i Rozwoju Obszarów Wiejskich 106, no. 1 (June 27, 2019): 22–35. http://dx.doi.org/10.22630/rnr.2019.106.1.2.

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The main aim of the work was to present the changes observed in the labour productivity in EU agriculture in years 2005-2016. The author proposed also the methodical decomposition of the labor productivity ratio in agriculture. Seven factors (ratios) have been taken into account in three models of labor productivity decomposition. These factors are: inputs productivity, land productivity, value added index, production taxation, production subsidies, equipment employed in agricultural land and the level of agricultural production intensity. The use of the deterministic method allowed to analyse the changes in labour productivity from the perspectives both in the EU agriculture (EU-28) and in the Polish agriculture. Performed studies seems to prove that in the years 2005-2016 the labor productivity measured by gross value added increased in case of EU-28 by average 2.13% and in the case of EU-15 only by 0.98%. At the same time, higher increase was observed in the case of EU-13 which equal to 3.45%. It may suggest that can be observe the ongoing process of the labor productivity convergence in EU agriculture. In the light of deterministic analysis, it was possible to specify the main factors contributing to the increase in labor productivity in agriculture in the EU-28 and in Poland, which are the increase in production intensity and the increase in agricultural land/labour relation. However, it should be also noted that the favorable direction of changes in labour productivity was weakened by the decreasing efficiency of production measured by the inputs productivity and the share of value added in revenues.

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12

Burtseva, T. A. "Measures of Regional Labour Productivity." Voprosy statistiki 28, no. 1 (February 19, 2021): 18–27. http://dx.doi.org/10.34023/2313-6383-2021-28-1-18-27.

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In this article, in the form of publication, are presented key study ﬁndings that cover both methodological issues of measurement and comprehensive analysis of regional labor productivity, along with extended formulations of study results. Based on the experience of domestic and foreign statisticians, the author substantiates the system of regional labour productivity indicators required for its integrated assessment. In the author’s opinion, this system is needed in a formation of a single coordinated approach to the calculation of labour productivity from the perspective of branches, enterprises, and constituent entities of the Russian Federation.The introduction argues for the relevance of the issues related to measuring regional labour productivity, which is necessary to evaluate the progress of the Federal Project “Systemic Measures to Improve Labor Productivity” implemented under the national project “Labor Productivity and Employment Support”.The author justiﬁes the solution to the problem of clustering regions by regional labour productivity indicator using a combined approach, which explains the trends in the economic development of the regions of Russia in the selected clusters.The ﬁnal part of the article concludes that the study is relevant in assessing the factors of regional labour productivity needed to identify growth reserves or to prevent stagnation in economic development, measured, in particular, by means of a basic indicator of the economic production efficiency in constituent entities of the Russian Federation.

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13

Wahyuningsih, Yayuk Minta, and Muhamad Baparki. "ANALISIS EFISIENSI TENAGA KERJA USAHATANI PADI ( Oryza sativa L ) PADA LAHAN KERING DENGAN CARA TANAM JAJAR LEGOWO DI DESA SUNGAI LURUS." ZIRAA'AH MAJALAH ILMIAH PERTANIAN 45, no. 3 (September 28, 2020): 354. http://dx.doi.org/10.31602/zmip.v45i3.3479.

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This research was conducted to know, level of labor efficiency of rice farm effort. A survey with an observation technique was used as a method, where farmers follow the example of taken at random modestly as much as 29 farmers. Result of research obtained by the story, level of productivity equal to 2.081,44 kg/ha, and acceptance equal to Rp 16.651.538,46 /ha. Distribution of external labour family( TKLK) 88,73 % and family labour ( TKDK) 11,27 % from totalizing the labour effusing. while the allocation for labor cost equals to75,85 % to total cost representing a group of biggest expense rice. Count efficiency of labor from the facet of labor productivity obtained value17,18 kg/HKO, from facet labor Productivity Index Obtained Rp 84.046,71 /HKO and from wide facet equal to 82,54 m2/HKO.

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14

Jumi, Jumiati Bandu, M. Yusuf Tuloli, and Arfan Utiarahman. "ANALISIS PRODUKTIVITAS TENAGA KERJA PADA PEKERJAAN FONDASI PEMBANGUNAN FASILITAS PENYIMPANAN PMI PROVINSI GORONTALO." Composite Journal 3, no. 2 (July 1, 2023): 63–70. https://doi.org/10.37905/cj.v3i2.66.

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Labor productivity is one of the success factors of a project where the labor is directly involved in construction in the field. This study aims to know the level of labor productivity in the project for construction of PMI storage facility in Gorontalo Province. This study uses work sampling (productivity rating), which is a method that can be used to measure productivity easily to obtain the LUR (Labor Utilization Rate) value for each labor. This study is conducted by observing the productivity of 7 labors where the observation of productivity (LUR) is done for 22 days in each labor and the type of work observed is raft foundation work. The finding shows that the average labor productivity level in foundation work is 69.22% > 50°/». Thus, it can be concluded that the level of labor productivity in foundation work in the project for construction of the PMI storage facility in Gorontalo Province is quite productive and splendid. The avemge value of volume/labor is 0.163 m3 where its coefficient value in the field for excavation, soil compaction, workshop floor, formwork, and casting is higher than AHSP (Work Unit Price Analysis) 2016 whereas the value for reinforced bar and drainage reinforcement is higher.

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15

Kapeliushnikov, R. "Labor Productivity versus Labor Compensation:Some Simple arithmetic." Voprosy Ekonomiki, no. 3 (March 20, 2014): 36–61. http://dx.doi.org/10.32609/0042-8736-2014-3-36-61.

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The paper explores the “race” between wages and labor productivity in the contemporary Russian economy. It continues the author’s previous research where the same problem was examined for the earlier period of 1997-2007. The analysis focuses on dynamics in labor productivity and labor compensation during the economic crisis of 2008-2009 and subsequent years. The author shows that conventional wisdom implying that in Russia wages persistently increase at much higher annual rates than productivity is wrong: over 1997-2012 there was no stable relationship and waves of faster wage growth alternated with waves of faster productivity growth. However in the long run productivity outpaced labor compensation. As a result in 2011-2012 real unit labor costs for Russian firms were even lower than in the mid of the 1990s or in the beginning of the 2000s.

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16

Barbashova, T. P., A. G. Maistrenko, and B. V. Prasolov. "Labor productivity and discrimination in labor law." Voprosy trudovogo prava (Labor law issues), no. 5 (May 30, 2023): 280–85. http://dx.doi.org/10.33920/pol-2-2305-04.

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17

Alabdullah, Saad Farhan Ibrahim, and Lina Shaher Abu-Al Sondos. "Key Factors Affecting the Efficiency and Achievement of Labor Productivity in Some Public Construction Projects in Jordan." European Journal of Business and Management Research 8, no. 3 (June 7, 2023): 233–38. http://dx.doi.org/10.24018/ejbmr.2023.8.3.1922.

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Over some years, many public projects in Jordan have experienced delays due to an inappropriate initial work management plan. The performance of labor in construction projects is affected by many factors and has a direct interrelationship with the triple constraint of the project time, cost, and scope. This study aims to analyze the factors affecting labor productivity in some public projects in Jordan, labors achievements and motivation. To achieve the purpose of the study a questionnaire was developed to observe the impact of critical factors on labor productivity and the traffic intersections: Al-Ersal /Al-Hurryah intersection and Marj Al-Hamam intersection project was selected to be the study sample. The data from the questionnaire were statistically analyzed using the (SPSS) program, to analyze the data collected from the survey, this study used the method of Relative Importance Index (RII) to measure the impact of the critical factors affecting labor productivity. From the analysis of 32 Factors that were identified from literature review affecting the labor productivity, it is concluded that the top ten factors affecting labor productivity in The Traffic Intersections in Amman: Al-Ersal /Al-Hurryah Intersection and Marj Al-Hamam Intersection Project are as follows: (1) Payment delays to labor, (2) Material Shortage, (3) Tools and equipment shortage, and Low wages in the same rank, (4) Allocate tasks to labors fairly and according to specialization, (5) Job Security, (6) Deficiency of motivation, (7) Labor absenteeism, (8) Incompetence of site supervisor, (9) Poor communication of supervisor with labors, (10) Lack of labor skilled and experience.

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18

Hamid, Niazi. "Labor productivity growth factors." Normirovanie i oplata truda v promyshlennosti (Rationing and remuneration of labor in industry), no. 5 (May 14, 2021): 38–42. http://dx.doi.org/10.33920/pro-3-2105-04.

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The modern strategy of economic development of Russia, which is aimed at restructuring the economy, requires, first of all, the search for new and improvement of existing ways of increasing labor productivity at any domestic enterprise. That is why the issues of creating effective motives and incentives for increasing labor productivity as an important tool for the development of an industrial enterprise are relevant.

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19

Jorgenson, Dale, and Khuong Vu. "Technology And Labor Productivity." Development Outreach 13, no. 1 (April 2011): 45. http://dx.doi.org/10.1596/1020-797x_13_1_45.

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20

Romer, Paul M. "Capital, Labor, and Productivity." Brookings Papers on Economic Activity. Microeconomics 1990 (1990): 337. http://dx.doi.org/10.2307/2534785.

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21

Hu, Bo A., and Liping A. Cai. "Hotel Labor Productivity Assessment." Journal of Travel & Tourism Marketing 16, no. 2-3 (July 2004): 27–38. http://dx.doi.org/10.1300/j073v16n02_03.

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22

Enshassi, Adnan, Sherif Mohamed, Peter Mayer, and Karem Abed. "Benchmarking masonry labor productivity." International Journal of Productivity and Performance Management 56, no. 4 (May 2007): 358–68. http://dx.doi.org/10.1108/17410400710745342.

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23

Thomas, H. Randolph. "Benchmarking Construction Labor Productivity." Practice Periodical on Structural Design and Construction 20, no. 4 (November 2015): 04014048. http://dx.doi.org/10.1061/(asce)sc.1943-5576.0000141.

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24

THALMAN, J., and R. FORD. "Labor and productivity measures." Respiratory Care Clinics 10, no. 2 (June 2004): 211–21. http://dx.doi.org/10.1016/j.rcc.2004.01.005.

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25

Koehn, Enno, and Gerald Brown. "International Labor Productivity Factors." Journal of Construction Engineering and Management 112, no. 2 (June 1986): 299–302. http://dx.doi.org/10.1061/(asce)0733-9364(1986)112:2(299).

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26

Thomas, H. Randolph, William F. Maloney, R. Malcolm W. Horner, Gary R. Smith, Vir K. Handa, and Steve R. Sanders. "Modeling Construction Labor Productivity." Journal of Construction Engineering and Management 116, no. 4 (December 1990): 705–26. http://dx.doi.org/10.1061/(asce)0733-9364(1990)116:4(705).

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27

Thomas, H. Randolph, Steve R. Sanders, and Suha Bilal. "Comparison of Labor Productivity." Journal of Construction Engineering and Management 118, no. 4 (December 1992): 635–50. http://dx.doi.org/10.1061/(asce)0733-9364(1992)118:4(635).

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28

Michl, Thomas R. "Capital and Labor Productivity." Review of Radical Political Economics 24, no. 2 (June 1992): 45–50. http://dx.doi.org/10.1177/048661349202400206.

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29

DVORNYK, Inna. "LABOR PRODUCTIVITY IN AGRICULTURE." Ukrainian Journal of Applied Economics 6, no. 2 (June 30, 2021): 245–51. http://dx.doi.org/10.36887/2415-8453-2021-2-30.

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The essence of labor productivity is substantiated in the article. It is determined that it is the production of a certain amount of products (or work performed of the established quality) per unit of working time. Labor productivity is one of the main indicators that determines the development of the industry, enterprise. The analysis of agricultural products showed that in general there is a positive trend, in particular crop production. Livestock production is characterized by a decrease. Enterprises produce the most agricultural products - 66% (11.6% of farms), respectively households – 34%. Analysis of the dynamics of labor productivity per employee in agriculture of Ukraine showed positive results. The growth rate in the industry over the past 5 years is 48.81%, including in crop production - 44.61%, in animal husbandry - 61.78%. However, the achieved level does not meet modern requirements. Factors of labor productivity growth are singled out: organizational-economic, technical-economic, socio-economic, natural-climatic. Correlation-regression analysis was used to study the influence of individual factors on labor productivity. It is established that the following have the greatest direct impact: the average engine power of the tractor, the cost of fixed assets, the average monthly salary. The following have the opposite effect: population, number of employees in the agriculture. A positive financial result in agriculture does not increase labor productivity. Investments, wage growth in the agricultural sector, predictability of state regulatory policy, improved land relations, mechanisms of state support for farmers and improving the efficiency of public administration will help increase labor productivity in agriculture. Keywords: labor productivity, agriculture, wages, production volume, investments.

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30

Polopolus, Leo C. "Labor productivity and agribusiness." Agribusiness 2, no. 3 (1986): 269–77. http://dx.doi.org/10.1002/1520-6297(198623)2:3<269::aid-agr2720020302>3.0.co;2-#.

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31

Pletnev, Dmitri A. "Digitalization and Labor Productivity." Bulletin of Chelyabinsk State University 482, no. 12 (February 14, 2024): 5–7. http://dx.doi.org/10.47475/1994-2796-2023-482-12-5-7.

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32

Kuzior, Aleksandra, Vitaliia Koibichuk, Serhii Drozd, Dymytrii Grytsyshen, and Tetiana Vasylieva. "Determinants of labor productivity in the USA." Problems and Perspectives in Management 21, no. 4 (December 27, 2023): 724–39. http://dx.doi.org/10.21511/ppm.21(4).2023.54.

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This study aims to examine whether the labor productivity of the US population directly depends on public or private insurance coverage of people, employment level, life expectancies, spending on the public health system as a percentage of GDP, and spending on the public health system in natural terms. Empirical testing was carried out on the USА statistical data for 1987–2021 using a regression model with the fitting procedure backward stepwise selection (in Statgraphics software), and a multivariate adaptive regression spline MARS (using Salford Predictive Modeler software). The research hypothesis was confirmed for only two indicators: life expectancies and spending on the public health system in natural terms. Their impact on labor productivity appeared to be directly proportional. As an indicator, spending on the public health system has a greater impact on the change in productivity (0.0058%), whereas life expectancy has a lesser effect (0.0047%). The study showed that the MARS model provides more objective and accurate results compared to the regression model with the fitting procedure – backward stepwise selection. This conclusion is based on a comparison of real data modeled by both methods. The study proved that labor productivity in the USA grew yearly from 1987 to 2021 (the constant term in the MARS model’s regression equation is +0.48428). To calculate the specific values of labor productivity for each year, a model was developed depending on the optimal basic functions (automatically generated by the MARS model depending on the current values of life expectancies and spending on the public health system in natural terms). AcknowledgmentThis study is funded by Department of Applied Social Sciences of the Faculty of Organization and Management of the Silesian University of Technology for the year 2023 (grant number 13/020/BK_23/0081).

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33

A. Kamalova, Alina, and Wilfred Isioma Ukpere. "Problems of statistical study of labor productivity in construction." Problems and Perspectives in Management 14, no. 1 (April 11, 2016): 235–39. http://dx.doi.org/10.21511/ppm.14(1-1).2016.12.

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The article focuses on the problems of statistical measurement of labor productivity in construction, as recent years saw the most significant changes in the methodology of calculating construction products. The study examined the factors affecting the dynamics of labor productivity in construction, calculated by the volume of work at estimate piece that is at the index known as “average output per worker” in the practice of planning and statistics. Labor productivity is a complex qualitative index, which is influenced by numerous factors. Therefore, the most effective method for studying the dynamics of labor productivity is the use of the index method. The index method seems to be widely used in statistical research of labor productivity in construction

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34

Baeza and González. "Labor Productivity and Marxist Theory of Labor Value." World Review of Political Economy 11, no. 3 (2020): 377. http://dx.doi.org/10.13169/worlrevipoliecon.11.3.0377.

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35

Breit, Emily, Xuehu (Jason) Song, Li Sun, and Joseph Zhang. "CEO power and labor productivity." Accounting Research Journal 32, no. 2 (July 1, 2019): 148–65. http://dx.doi.org/10.1108/arj-05-2016-0056.

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Purpose This paper aims to examine how Chief Executive Officer (CEO) power affects firm-level labor productivity. Design/methodology/approach The authors rely on regression analysis to examine the relation between CEO power and labor productivity. Findings Following prior research (i.e. the sequential rank order tournament theory), the authors predict that powerful CEOs lead to high labor productivity. They find a significant and positive relationship between CEO power and labor productivity. They further decompose labor productivity into labor efficiency and labor cost components and find a positive (negative) relationship between CEO power and labor efficiency (cost) component, suggesting that more powerful CEOs better manage labor efficiency and control labor cost. The results are also robust to various additional tests. Originality/value This study contributes to two streams of research: the CEO power literature in finance and the labor productivity and cost literature in accounting. To the best of the authors’ knowledge, it is the first study that performs a direct empirical test on the relation between CEO power and labor productivity.

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36

Vinh, Nguyen Tan. "The Impact of Foreign Direct Investment, Human Capital on Labour Productivity in Vietnam." International Journal of Economics and Finance 11, no. 5 (April 15, 2019): 97. http://dx.doi.org/10.5539/ijef.v11n5p97.

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Vietnam is a country which has an attractive level of attracting foreign direct investment (Hereafter FDI) in the region with many preferential policies for investors. FDI attraction aims to help economic growth as well as increase the country&#39;s labour productivity. Therefore, the author conducted research to the impact of FDI and human capital on labor productivity of Vietnam. With data analysis techniques using ARDL model with data collected from 1990 to 2017, research result shows that FDI has a positive impact on labor productivity in short term and long term. The factor of university qualification (human capital) only has a positive impact on labor productivity in the long term.

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37

Mose, Jared Isaboke. "Drivers of Labour Productivity in Flower Farms in Naivasha, Kenya." Sustainable Agriculture Research 6, no. 4 (October 8, 2017): 117. http://dx.doi.org/10.5539/sar.v6n4p117.

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Although Kenya is the most successful producer and exporter of fresh produce and flowers in sub-Saharan Africa, other countries both in Africa and elsewhere, offer strong competition that could erode export market share in future. Increased labor productivity is crucial for Kenya’s competitiveness. This study aimed at examining the key drivers of labour productivity in flower farms in Naivasha, Kenya. Descriptive survey design was employed and stratified proportionate random sampling technique used to select 381 respondents from who data was collected using a questionnaire. A log-linearized Cobb-Douglas model was used examine determinants of labour productivity. The results showed that workers’ participation in Labor unions, Information & Communication Technology and workers’ skills acquired through training were the major factors that determined labour productivity by 35.4 percent, 19 percent and 14.7 percent respectively. While worker’s wage increase and tools used by a worker influenced labour productivity by 9 percent and 11.4 percent respectively. Worker’s level of education and worker’s experience also increased labour productivity by 5.1 percent and 4 percent respectively. The study recommends that; the Kenyan government should give special attention to education to produce skilled and innovative workers. Flower Farms should invest more in training of workers to acquire relevant skills, acquisition of appropriate tools; improve ICT infrastructure and support labor union in the flower farms.

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Kuchina, Svetlana, and Ruslana Maistro. "LABOR PRODUCTIVITY AND PRODUCTION EFFICIENCY." Bulletin of the National Technical University "Kharkiv Polytechnic Institute" (economic sciences), no. 1 (January 17, 2022): 37–40. http://dx.doi.org/10.20998/2519-4461.2022.1.37.

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In today's world, the issue of sustainable economic growth and labor productivity is very acute. Low levels of labor productivity in all sectors of the economy affect the overall effectiveness of the state production and economic system, as labor productivity is a criterion for the efficient use of labor resources and social reproduction. The aim of the article is to scientifically substantiate and structure the system of factors that affect productivity. The research task is to analyze the categorical apparatus, economic essence and significance of labor productivity, to classify factors and conditions of labor productivity increase at industrial enterprises, to show practical application of formulas for calculation of possible dismissal of workers on the basis of measures to increase labor productivity. To do this, the article provides a definition of "productivity" and "productivity", "production per employee". It is proposed to combine many factors that determine the growth of labor productivity into the following groups: increasing the technical level of production, improving the organization of production and labor, increasing production, structural changes in production, the impact of natural conditions. It is emphasized that the identification and use of reserves for productivity growth leads to lower production costs and increase profitability, and thus increases the viability of enterprises.

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Lee, Stephen. "Productivity and Affinity in the Age of Dignity." Michigan Law Review, no. 114.6 (2016): 1137. http://dx.doi.org/10.36644/mlr.114.6.productivity.

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This Review proceeds as follows. Part I summarizes The Age of Dignity. Part II explains how this segment of immigrant workers challenges the productivity/affinity binary that dominates immigration law’s formal migration rules. Part III shows how this binary sets up dual migration streams, both of which could account for future flows of care workers. As Part III shows, the example of the eldercare industry nicely illustrates how the employment based and family-based migration systems simply represent two different ways of filling labor needs. I then conclude.

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Van, Hung Bui, and Dung Tran Manh. "Literature Review: Factors Affecting Labor Productivity." INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGICAL SCIENCES 5, July & Aug (August 31, 2021): 19–29. https://doi.org/10.5281/zenodo.5515326.

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<em>The purpose of the article is to review the research related to labor productivity. Factors affecting labor productivity. Effects of FDI on labor productivity; The effect of exports on labor productivity and finally the effect of non-wage benefits on labor productivity. The author conducts analysis, evaluation and gives discussion as well as possible research directions in the future.</em>

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MYRZALIYEV, Borash S., Aiganym T. KOKENOVA, Elvira S. ALIMKULOVA, Zhanture K. ZHETIBAYEV, and Bauyrzhan B. BIMENDEYEV. "Improving the Economic Mechanism for Increasing Labor Productivity in Agriculture." Journal of Advanced Research in Law and Economics 11, no. 4 (June 15, 2020): 1233. http://dx.doi.org/10.14505//jarle.v11.4(50).19.

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The article is devoted to the problems of increasing labor productivity in agriculture in Kazakhstan. It explores the growth trends in labor productivity in the agricultural sector and presents a comparative analysis of individual factors that directly affect labor productivity indicators. The article considers the reasons for the lag of Kazakhstan in terms of labor productivity from developed countries, provides a detailed analysis of the level and dynamics of labor productivity in agriculture in Kazakhstan. The authors of the article calculated indicators of the dynamics of labor productivity and indices of the physical volume of gross agricultural output. Comparative indices of labor productivity in the economy, production of goods and agriculture are presented, an algorithm for analysing the efficiency of labor use of workers in the industry and assessing the reserves of growth in labor productivity were given. The aim of the work is to study the prevailing level of labor productivity and determine ways to increase it and the production efficiency of the agricultural sector. The differentiation of the use of the concepts of labor productivity and the productivity of the economic system was substantiated. The productivity of the economic system in accordance has a broader interpretation and includes the whole set of economic processes, such as labor productivity, marketing, managerial productivity and the creation of new products with high consumer qualities. The goals and objectives of labor productivity at the enterprise level was carried out, areas of responsibility at different managerial levels were decomposed.

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SHAH, SYED WAQAR ALI, and MEHRAN MOHAMMAD. "Practical Labor Productivity Measurement and Its Importance in Construction Projects." International Journal of Architecture, Planning and Building Engineering 5, no. 1 (December 2, 2018): 10–15. https://doi.org/10.5281/zenodo.1834038.

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Construction productivity is the main issue for researchers and practitioners because of its impact on the performance of construction projects. Effective management of resources can lead to greater productivity which can be helpful for achieving cost and time-saving. Construction is labor focused business and therefore labor is the industry’s supreme strength. It is essential to develop the efficiency of labor productivity in construction projects. Increasing or decreasing of labor productivity of scheme or project has themain concern with the construction industry. The goal of this research project to determine the practical measurement of labor productivity and its importance in the construction industry of Peshawar Khyber Pakhtunkhwa Pakistan after the conclusionof factors disturbing construction labor productivity. Factors affecting labor productivity were analyzed by using (RII) method. Measurement of concern data is done by using fieldwork method. RII method showstwenty-three ranked factors which affect labor productivity. Data has been collected through fieldwork which shows that an increase in skilled labor is a most important factor and also highly affecting labor productivity. It is also observed from the analysis that measurement of labor productivity is supportive to save the project from cost overrun without hampering the quality of work.

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Oh, Wankeun, and Seung Won Kang. "Attribution of Changes in Vietnam’s Labor Productivity." Sustainability 14, no. 11 (May 25, 2022): 6437. http://dx.doi.org/10.3390/su14116437.

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This study examines the change in labor productivity in Vietnam by means of a Fisher index decomposition and attribution analysis. The results can be summarized as follows. First, the aggregate labor productivity is decomposed into pure labor productivity and structural change from 2007 to 2019. All of the aggregate labor productivity, pure labor productivity, structural change, and interaction terms have increased by 69.83%, 36.74%, 24.20%, and 8.89%, respectively. Second, the percentage change in labor productivity is attributed to 20 sub-industries by pure labor productivity and structural change. The sum of the multi-period attribution of pure labor productivity and structural change shows that the manufacturing industry positively dominates (15.84%) and plays a key role in economic development. The positive pure labor productivity and structural change in the manufacturing industry imply that the structural bonus hypothesis does hold in the industry. The findings also indicate that pure labor productivity, especially in the service industry, should be improved to sustain economic growth.

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Walheer, Barnabé. "Labor productivity and technology heterogeneity." Journal of Macroeconomics 68 (June 2021): 103290. http://dx.doi.org/10.1016/j.jmacro.2021.103290.

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Obuschenko, T. N. "LABOR PRODUCTIVITY OF REMOTE WORKERS." Вестник Алтайской академии экономики и права 2, no. 10 2021 (2021): 160–66. http://dx.doi.org/10.17513/vaael.1882.

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Valenzuela Feijóo, José. "Labor productivity and its determinants." Gestión y Estrategia 23 (January 1, 2003): 21–35. http://dx.doi.org/10.24275/uam/azc/dcsh/gye/2003n23/valenzuela.

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Kapeliushnikov, R. "Productivity and Cost of Labor." Problems of Economic Transition 53, no. 1 (May 1, 2010): 17–40. http://dx.doi.org/10.2753/pet1061-1991530102.

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Machek, Martin. "Job security and labor productivity:." European Journal of Management Issues 27, no. 3-4 (December 25, 2019): 82–89. http://dx.doi.org/10.15421/191909.

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Purpose – to investigate the relationship between job security and labor productivity among 45,506 companies from the Czech Republic, Slovakia, Croatia, Slovenia, and Latvia. Design/Method/Approach. This article uses linear regression analysis based on data from the period of 2013-2017. Findings. The study indicates an inverse U-shaped relationship between employment volatility, as measured by the coefficient of variation, and labor productivity. Labor productivity increases along with employment fluctuation up to a certain point; however, when employees feel insecure, their labor productivity deteriorates. Surprisingly, for most companies, the relationship between employment fluctuation and labor productivity remains positive. Labor productivity gets affected positively by the security feeling rather than by guaranteeing the job position. Originality/Value. The results are consistent within the subsamples of the five individual countries in the sample and robust to two alternative measures of fluctuation, the mean absolute deviation, and the studentized range.  Paper type – empirical.

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Subaeva, Asiya K., Marat M. Nizamutdinov, Leysan M. Mavlieva, and Marat N. Kalimullin. "Labor productivity in digital agriculture." BIO Web of Conferences 17 (2020): 00226. http://dx.doi.org/10.1051/bioconf/20201700226.

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The article provides information on the labor productivity level in the agricultural sector, reveals aspects of innovations in production, analyzes the education level in human resources of rural workers, reveals the prospects for digitalization of the agricultural sector.

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Marchante, Andrés J., and Bienvenido Ortega. "Human Capital and Labor Productivity." Cornell Hospitality Quarterly 53, no. 1 (December 19, 2011): 20–30. http://dx.doi.org/10.1177/1938965511427698.

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