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Academic literature on the topic 'Industrial productivity Australia Econometric models'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Industrial productivity Australia Econometric models"

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Ismagilova, Larisa, and Elvira Arylbaeva. "Labor productivity management: cognitive models of contradictions." Vestnik BIST (Bashkir Institute of Social Technologies), no. 2(55) (June 30, 2022): 154–61. http://dx.doi.org/10.47598/2078-9025-2022-2-55-154-161.

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The analysis of the research, demonstrating the interrelation between the efficiency of human resources management and economic results of the enterprise has been conducted. Causal relationship between human resource management and productivity is shown. Contradictions in the formation of human and labor resources are revealed. The defining role of human capital in the structure of intangible resources. The procedure of substantiation of the choice of HR-practices that involves the construction of a generalized cognitive model of the impact of intangible resources on productivity was formed. The structure of the system of labor productivity management is developed. The structure of the blocks of imitation model on the basis of econometric research data, the procedure of selection of the most important HR-factors is proposed. The possibility of substantiating the choice of control actions based on modeling results is shown. Causal scheme of labor productivity management through intangible resources of industrial enterprise is proposed. A set of econometric models built on the basis of generalization of empirical research and statistical data of specific enterprises was used to develop the model.
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Eloff, Jeffrey J., Oleg A. Smirnov, and Peter S. Lindquist. "Transportation Infrastructure, Industrial Productivity, and Return on Investment." Transportation Research Record: Journal of the Transportation Research Board 2345, no. 1 (January 2013): 109–16. http://dx.doi.org/10.3141/2345-14.

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This study examined the North American Industrial Classification System–based manufacturing industry (NAICS 31-33) from 1997 to 2010 in a cost-based framework. First, both profit and production function models were constructed and estimated for the U.S. manufacturing industry at the state level to allow for spatial spillovers and interactions. A model based on profit and production provided an alternative approach to the dual-cost function. Elasticities associated with infrastructure investment and industry total costs were determined by the inclusion of data on transportation infrastructure spending. Results of the spatial econometric models and the computed elasticities were then delivered in a geographic information system.
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Kudryavtseva, T. Yu, and A. E. Skhvediani. "An econometric analysis of the regional industrial specialization: The Russian manufacturing industry case study." Economic Analysis: Theory and Practice 19, no. 9 (September 29, 2020): 1765–90. http://dx.doi.org/10.24891/ea.19.9.1765.

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Subject. The article reviews the manufacturing industry in Russian regions, calculates the indicators of regional industrial specialization needed for development of econometric models of spatial panel data. Objectives. The purpose is to create a methodology for analyzing the regional industrial specialization based on econometric tools; to test it, using the case of the manufacturing industry, for determining the type of externalities in the Russian Federation. Methods. To build econometric models, we use methods of least squares and maximum likelihood. We apply localization ratios to assess regional industrial specialization in terms of the volume of employment, revenue and investment in manufacturing, workforce productivity, etc. Results. The findings show the clustering of regions by the level of productivity. The localization of manufacturing industry in regions in terms of localization of employment and localization of productivity is negatively related to productivity in the region. This can be explained by the transition of regional economies to the post-industrial mode, where the service sector becomes more important, and by possible over-industrialization and specialization of certain regions in the context of the need to develop related sectors and to build links between them. The presence of direct negative MAR externalities may indicate a need for further research in positive Porter and Jacobs externalities for Russian regions manufacturing industry. Conclusions. The developed methodology enables to identify and analyze relationships between regional industrial specialization and regional indicators; to specify the type of externalities and determine the existence of indirect and direct effects of industry localization.
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Jorgenson, Dale W. "Productivity and Postwar U.S. Economic Growth." Journal of Economic Perspectives 2, no. 4 (November 1, 1988): 23–41. http://dx.doi.org/10.1257/jep.2.4.23.

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The purpose of this paper is to analyze the sources of postwar U.S. economic growth. The findings presented here allocate more than three-fourths of U.S. economic growth during the period 1948-1979 to growth of capital and labor inputs and less than one-fourth to productivity growth. To provide additional insight into the sources of U.S. economic growth, this paper then analyzes the sources of growth for individual industrial sectors. The final objective of this paper is to complete the explanation of the slowdown in U.S. economic growth that took place after 1973. For this purpose we examine econometric models for individual industrial sectors that make the rate of productivity growth for each sector into an endogenous variable. In addition, these models incorporate inputs of energy and materials along with inputs of capital and labor. The models show that higher energy prices are important in explaining the slowdown in U.S. economic growth.
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Ma, Le, Chunlu Liu, and Anthony Mills. "Construction labor productivity convergence: a conditional frontier approach." Engineering, Construction and Architectural Management 23, no. 3 (May 16, 2016): 283–301. http://dx.doi.org/10.1108/ecam-03-2015-0040.

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Purpose – Understanding and simulating construction activities is a vital issue from a macro-perspective, since construction is an important contributor in economic development. Although the construction labor productivity frontier has attracted much research effort, the temporal and regional characteristics have not yet been explored. The purpose of this paper is to investigate the long-run equilibrium and dynamics within construction development under a conditional frontier context. Design/methodology/approach – Analogous to the simplified production function, this research adopts the conditional frontier theory to investigate the convergence of construction labor productivity across regions and over time. Error correction models are implemented to identify the long-run equilibrium and dynamics of construction labor productivity against three types of convergence hypotheses, while a panel regression method is used to capture the regional heterogeneity. The developed models are applied to investigate and simulate the construction labor productivity in the Australian states and territories. Findings – The results suggest that construction labor productivity in Australia should converge to stable frontiers in a long-run perspective. The dynamics of the productivity are mainly caused by the technology utilization efficiency levels of the local construction industry, while the influences of changes in technology level and capital depending appear limited. Five regional clusters of the Australian construction labor productivity are suggested by the simulation results, including New South Wales; Australian Capital Territory; Northern Territory, Queensland, and Western Australia; South Australia; and Tasmania and Victoria. Originality/value – Three types of frontier of construction labor productivity is proposed. An econometric approach is developed to identify the convergence frontier of construction labor productivity across regions over time. The specified model can provides accurate predictions of the construction labor productivity.
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Basovskiy, Leonid, and Elena Basovskaya. "The Elasticity of Labor Productivity by Factors of Production in Modern Russia." Scientific Research and Development. Economics 8, no. 4 (August 17, 2020): 22–25. http://dx.doi.org/10.12737/2587-9111-2020-22-25.

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The correlation between labor productivity and indicators reflecting the influence of socio-economic and innovative factors in the regions of Russia for 2015-2018 were evaluated. For each year, according to statistics from 82 regions of Russia, econometric models are constructed that allow obtaining elasticity coefficients of labor productivity by capital-labor ratio, foreign investment, average monthly wage, income inequality, producer price index of industrial goods, export share in gross regional product. The prospects of economic policy aimed at increasing labor productivity were estimated.
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Ma, Tao, and Xiaoxi Cao. "Spatial Econometric Study on the Impact of Industrial Upgrading on Green Total Factor Productivity." Mathematical Problems in Engineering 2022 (September 16, 2022): 1–11. http://dx.doi.org/10.1155/2022/1133340.

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Under the background of high-quality development led by the new development concept in China, it is imperative to change the development mode, optimize the economic structure, and transform the driving force, and industrial upgrading is the necessary way to promote the optimization of the industrial structure and achieve high-quality economic development. Based on data covering 284 prefecture-level cities in China, this paper first calculates the green total factor productivity (GTFP) of each prefecture-level city and then constructs three spatial econometric models (SLM, SEM, and SDM) based on four spatial weight matrices to empirically analyze the impact of industrial upgrading on GTFP. The results show that the GTFP of all cities in China shows a fluctuating upward trend and significant spatial spillover effect. Both full-sample and regional heterogeneity tests show that industrial upgrading can promote growth in GTFP, but the promoting effect on different regions is different. Regarding the control variables, GTFP has an inverted U-shaped relationship with economic development; additionally, human capital and financial development play a driving role in GTFP, while population density plays a restraining role. Finally, based on the empirical findings, we propose a multipronged policy of differentiated industrial policy and a variety of complementary measures to promote GTFP growth.
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Basovskiy, Leonid, and Elena Basovskaya. "Production Functions of Labor Productivity in Modern Russia." Scientific Research and Development. Economics 8, no. 3 (June 17, 2020): 18–22. http://dx.doi.org/10.12737/2587-9111-2020-18-22.

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To identify determinants of labor productivity, correlation relationships of productivity of various indicators was evaluated, reflecting the influence of a wide range of socio-economic and innovative factors in the regions of Russia for 2015-2017. It has been established that many indicators characterizing socio-economic and innovative factors do not have a significant relationship with labor productivity and are multicollenarity (they have correlation relationships among themselves). For each year, according to statistics of 82 regions of Russia, econometric models in the form of a well-known standard internal linear function - an analog of the Cobb-Douglas production function are constructed. The obtained models indicate a positive impact on labor productivity, capital-labor ratio, foreign investment, wage levels, income inequality, inflation in industrial goods and export markets. The obtained simulation results showing a significant positive effect on labor productivity exerted by income inequality and the inflation rate on the industrial goods market, which indicates the action of economic mechanisms in the country in developed countries. When performing research, it was found that the positive impact of capital-labor ratio on productivity in 2015-2017 was reduced. This indicates a decrease in the efficiency of use of fixed capital in countries, about the crisis in the country's economy.
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Basovskiy, Leonid, and Elena Basovskaya. "The main Factors of Labor Productivity in the Regions of the Central Federal District." Scientific Research and Development. Economics 10, no. 3 (June 17, 2022): 27–31. http://dx.doi.org/10.12737/2587-9111-2022-10-3-27-31.

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To assess the impact of production factors on labor productivity in the regions of the Central Federal District, based on cross-regional data, econometric models were built. At the same time, the hypothesis was evaluated that in the process of transition to a post-industrial economy, along with traditional factors, labor productivity is significantly influenced by human capital and new technologies. When performing research, econometric models were obtained in the form of internally linear functions. As a factor of new technologies that determines labor productivity, we used data on the share of innovation costs in the total output of enterprises and organizations in the region. As human capital factors, we used data on the average level of education of employees in the region, which was estimated by the average length of their education in the education system, as well as on the shares of employed workers with different levels of education. The results obtained allow us to conclude that in the regions of the Central Federal District, labor productivity, new technologies in the form of innovation and the human capital of employed workers, measured by the level of education, have a significant positive impact on productivity. The use of labor of workers with higher education and the labor of workers with secondary vocational education who have been trained in training programs for mid-level specialists has a positive impact on labor productivity. Labor productivity is negatively affected by the use of labor of workers with secondary vocational education in training programs for skilled workers and employees, the use of labor of workers with secondary general education, basic general education, who also do not have basic general education.
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Басовский, Leonid Basovskiy, Басовская, and Elena Basovskaya. "System Model of Long-Term Technical and Economic Development." Economics 4, no. 5 (October 10, 2016): 18–35. http://dx.doi.org/10.12737/22035.

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The results of the research of dissemination of technical and economic paradigms in developed economies are given. A system model of long-term technical and economic development is developed. The model assumes the simultaneous existence in the economy of several subsystems of different technical and economic paradigms. Each techno-economic paradigm is a new stage of development and different from the previous paradigm of higher productivity. Each subsequent industrial techno-economic paradigm provides higher productivity due to higher capital intensity and energy intensity of production. In the post-industrial techno-economic paradigms the higher performance is provided at a lower capital intensity and energy intensity of production due to a higher volume of information used. Beginning, transition to domination, the beginning of the withering away of each paradigm is accompanied by the formation of an upward half-wave of Kondratieff cycle. Econometric models of Kondratieff cycles and econometric models of real GDP per capita is obtained, provided technical and economic paradigms in developed countries. The fourth techno-economic paradigm provides the real per capita GDP value from 1929 to 3258 dollars Gehry-Hemis 1990. The fifth techno-economic paradigm provides a real GDP per capita value of 11,606 to 12,883 dollars Gehry-Hemis 1990. The sixth techno-economic paradigm provides a real GDP per capita value of 22 360 to 28 385 dollars Gehry-Hemis 1990.
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Dissertations / Theses on the topic "Industrial productivity Australia Econometric models"

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Galgau, Olivia. "Essays in international economics and industrial organization." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210773.

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The aim of the thesis is to further explore the relationship between economic integration and firm mobility and investment, both from an empirical and a theoretical perspective, with the objective of drawing conclusions on how government policy can be used to strengthen the positive impact of integration on investment, which is crucial in moving and maintaining countries at the forefront of the technology frontier and accelerating economic growth in a world of rapid technical change and high mobility of ideas, goods, services, capital and labor.

The first chapter aims to bring together the literature on economic integration, firm mobility and investment. It contains two sections: one dedicated to the literature on FDI and the second covering the literature on firm entry and exit, economic performance and economic and business regulation.

In the second chapter I examine the relationship between the Single Market and FDI both in an intra-EU context and from outside the EU. The empirical results show that the impact of the Single Market on FDI differs substantially from one country to another. This finding may be due to the functioning of institutions.

The third chapter studies the relationship between the level of external trade protection put into place by a Regional Integration Agreement(RIA)and the option of a firm from outside the RIA block to serve the RIA market through FDI rather than exports. I find that the level of external trade protection put in place by the RIA depends on the RIA country's capacity to benefit from FDI spillovers, the magnitude of set-up costs of building a plant in the RIA and on the amount of external trade protection erected by the country from outside the reigonal block with respect to the RIA.

The fourth chapter studies how the firm entry and exit process is affected by product market reforms and regulations and impact macroeconomic performance. The results show that an increase in deregulation will lead to a rise in firm entry and exit. This in turn will especially affect macroeconomic performance as measured by output growth and labor productivity growth. The analysis done at the sector level shows that results can differ substantially across industries, which implies that deregulation policies should be conducted at the sector level, rather than at the global macroeconomic level.
Doctorat en sciences économiques, Orientation économie
info:eu-repo/semantics/nonPublished

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Pham, Van Ha. "Essays on productivity and exchange rate dynamics : numerical methods and error-in-variable analysis." Phd thesis, 2006. http://hdl.handle.net/1885/151120.

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Wang, Tingting. "An inquiry into the nature of producers" behavior in a reforming economy." Thesis, 1990. http://hdl.handle.net/10125/9630.

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Morris, Alan Geoffrey. "An economic analysis of industrial disputation in Australia." Thesis, 1996. https://vuir.vu.edu.au/15259/.

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Australia may present a special case in the analysis of strikes because, for most of the Twentieth Century, the Australian Industrial Relations Commission has acted as an industrial "umpire" charged with keeping the industrial peace. We begin with a review of major contributions to the theory of strikes, and reestimations and evaluations of the time-series models of previous Australian researchers. We then develop theoretical models of strikes and non-strike industrial action, stemming from Marshall's (1920) contribution to the theory of wages. If higher real wages lead to lower levels of employment, union demands are likely to be greater, and industrial action more frequent, when the duration of unemployment of retrenched workers is shorter. Important determinants of the opportunity costs of wage demands to employees, are wage losses of retrenched employees during unemployment and in subsequent re-employment. Critical in the union's decision to threaten a strike or a non-strike action, is a permanent loss of market share directly associated with strikes. The model of strikes is tested, along with variables suggested by other theories, using time-series data from the period 3:1959 to 4:1992. We show that the model is robust and out-performs modified versions of other Australian models. We find that the Prices and Incomes Accord is associated with a reduction in strike activity, but that other researchers have over-estimated its impact. Australian Workplace Industrial Relations Survey data is used to produce cross-sectional models of strikes and non-strike actions in unionised workplaces. We test the importance of the opportunity costs of wage demands and strikes, using variables describing the firm's competitive environment and local labour market conditions. Because the objectives of workplaces differ, we estimate separate models for privately owned workplaces, government non-commercial establishments and government business enterprises. All empirical models are broadly consistent with the predictions of our theoretical model.
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Tekle, Binyam Yemane. "Productivity bias hypothesis in purchasing power parity : a Swiss-South African case, 1994-2003." Thesis, 2005. http://hdl.handle.net/10413/6839.

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Professors Bela Balassa and Paul Samuelson (1964) have made a significant contribution to the theories of exchange rate by bringing a new thinking to the most popular exchange rate model, Purchasing Power Parity (PPP). They have elucidated the contribution of productivity in the determination of PPP. Accordingly, the emphasis of this thesis is Balassa and Samuelson’s Productivity Bias Hypothesis (PBH) in Purchasing Power Parity (PPP) and the application thereof to South Africa and Switzerland for the period 1994Q1 -2003Q4. The productivity bias hypothesis that explains real exchange rate movements in terms of sectoral productivities rests on two components: firstly, it implies that the relative price of non-traded goods in each country should reflect the relative productivity of labour in the traded and non-traded goods sectors. Secondly, it assumes that purchasing power parity holds for traded goods. The deviation of PPP from the equilibrium exchange rate or the real exchange rate is directly related to the ratio of productivity in a counter country over that of the base country. With inter-country productivity differences believed to be smaller in the service sector than in the sectors producing goods and with the prices of traded goods equalised through arbitrage, the relative prices of non-traded goods (services) would be directly correlated with productivity levels in individual countries. The thesis employs stationarity and cointegration tests in order to determine the presence of long-term, equilibrium, relationship between PPP and productivity variables of the above-mentioned two countries. The overall finding of this thesis is supportive of the productivity bias hypothesis in purchasing power parity concerning the two countries, South Africa and Switzerland. Accordingly, it has been found out that the deviation from equilibrium exchange rate can be explained by differences in productivity. Though currently being challenged by the service sector, South Africa’s manufacturing sector is assuming an important place in the economy. Given the need for improved competitiveness in the manufacturing sector, it is imperative that policy analysis and formulation render increased emphasis on efficiency and costeffectiveness. Such an integrated approach may aid not only in raising productivity but also in managing the intertwined socio-economic challenges of unemployment, poverty and inequality.
Thesis (M.A.)-University of KwaZulu-Natal, Pietermaritzburg, 2005.
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Nguyen, Thang Quang 1977. "Quality innovation: driving forces and implications for production, trade, and consumption." Thesis, 2007. http://hdl.handle.net/2152/3389.

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The dissertation has three main chapters on product quality innovation. First, we compare innovation effort and social welfare between monopoly, duopoly, and the social planner in a dynamic model with quality dependent on a continuous know-how stock. The technology frontier--the largest reachable know-how socks--does not always positively depend on competitiveness, i.e. a duopoly may technologically surpass the social planner. However, social welfare is always positively tied to competitiveness. Second, with a general equilibrium model, we derive a relative price function expressing productivity and quality effects, and develop a method for inferring relative quality changes. An application to services versus goods of the US from 1946-2006 provides evidence on aggregate quality changes and suggests us to incorporate quality variations when explaining relative prices. Third, we build a two-product model where productivity changes lead to reallocations of labor between quantity production and quality innovation. The correlation between relative productivity and relative quality is negative for low-range substitutability and positive for medium-range substitutability between two products. Looking at services versus goods of the US, the correlation is negative and productivity-driven quality can play a significant role in general quality development.
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Quang, Doan Hong. "Essays on factor-market distortions and economic growth." Phd thesis, 2000. http://hdl.handle.net/1885/147706.

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Books on the topic "Industrial productivity Australia Econometric models"

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Jovanovic, Boyan. Research and productivity. Cambridge, MA: National Bureau of Economic Research, 1995.

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Basu, Susanto. Aggregate productivity and the productivity of aggregates. Cambridge, MA: National Bureau of Economic Research, 1995.

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Hulten, Charles R. What is productivity: Capacity or welfare management? Cambridge, MA: National Bureau of Economic Research, 1992.

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Petrin, Amil. Measuring aggregate productivity growth using plant-level data. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Peng, Yusheng. Chinese rural industrial productivity and urban spillovers. Cambridge, MA: National Bureau of Economic Research, 1997.

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Lichtenberg, Frank R. R&D investment and international productivity differences. Cambridge, MA: National Bureau of Economic Research, 1992.

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Acemoglu, Daron. Productivity differences between and within countries. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2009.

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Khorin, A. N. Analiz intensifikat͡s︡ii proizvodstva: Voprosy metodologii i praktiki. Moskva: "Finansy i statistika", 1990.

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Claus, Iris. Estimating potential output for New Zealand: A structural VAR approach. Wellington, New Zealand: Reserve Bank of New Zealand, 2000.

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Lagos, Ricardo A. A model of tfp. [Minneapolis, Minn.]: Federal Reserve Bank of Minneapolis, 2004.

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