The Experts below are selected from a list of 79761 Experts worldwide ranked by ideXlab platform
Guo-liang Yang - One of the best experts on this subject based on the ideXlab platform.
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measuring the Capacity Utilization of the 48 largest iron and steel enterprises in china
European Journal of Operational Research, 2021Co-Authors: Hirofumi Fukuyama, Yaoyao Song, Huihui Liu, Guo-liang YangAbstract:Abstract This paper aims to investigate the Capacity Utilization (CU) of selected large Chinese iron and steel enterprises by using the data envelopment analysis (DEA) approach. In this paper, we first propose a DEA model with an unrestricted Capacity directional output distance function by incorporating two joint cost disposability relations and differentiating between non-emission-causing inputs and emission-causing inputs. Second, we define the status of decision-making units (DMUs) with excess Capacity and design a method to identify insufficient variable inputs. We use a group of 48 largest Chinese iron and steel enterprises as our sample to investigate their performance in terms of CU indicator. The main findings are summarised and can be used to support the corresponding policymaking for the managers of both government and enterprises.
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measuring the Capacity Utilization of china s transportation industry under environmental constraints
Transportation Research Part D-transport and Environment, 2020Co-Authors: Jingxiao Zhang, Simon P. Philbin, Qing-chang Lu, Pablo Ballesterosperez, Hui Li, Guo-liang YangAbstract:Abstract The transportation industry is challenged by the need for Capacity optimization, energy saving and decreasing emissions. Improving our understanding of Capacity Utilization is important for achieving a strong transportation system. This article analyzes the relationship between carbon dioxide emissions and final energy consumption in the transportation industry. The Capacity Utilization of China's transportation industry in the period 2011–2017 is explored by two improved DEA-based difference methods. They assess the status quo of China’s Capacity Utilization and explores effective mechanisms to increase it. In addition, the rationale and accuracy of both measurement models are analyzed. Results show that: (1) the relationship between CO2 emissions and final energy consumption can be taken advantage of to improve the accuracy of Capacity Utilization measurements. (2) China's transportation industry has suffered from the underUtilization of Capacity, especially in the past three years. (3) Regional differences in Capacity Utilization are significant, being Southwestern China the region that has most seriously underutilized its Capacity. (4) Promoting transportation technology innovation and more rational transportation resources planning are two key mechanisms to improve Capacity Utilization. This paper broadens our research knowledge of the transportation industry by proposing new measurement approaches for Capacity Utilization. These can be used to implement more effective and targeted policies, better allocate production resources, and closely monitor Capacity Utilization.
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measuring the Capacity Utilization of china s transportation industry under environmental constraints
Transportation Research Part D-transport and Environment, 2020Co-Authors: Jingxiao Zhang, Simon P. Philbin, Qing-chang Lu, Pablo Ballesterosperez, Hui Li, Guo-liang YangAbstract:Abstract The transportation industry is challenged by the need for Capacity optimization, energy saving and decreasing emissions. Improving our understanding of Capacity Utilization is important for achieving a strong transportation system. This article analyzes the relationship between carbon dioxide emissions and final energy consumption in the transportation industry. The Capacity Utilization of China's transportation industry in the period 2011–2017 is explored by two improved DEA-based difference methods. They assess the status quo of China’s Capacity Utilization and explores effective mechanisms to increase it. In addition, the rationale and accuracy of both measurement models are analyzed. Results show that: (1) the relationship between CO2 emissions and final energy consumption can be taken advantage of to improve the accuracy of Capacity Utilization measurements. (2) China's transportation industry has suffered from the underUtilization of Capacity, especially in the past three years. (3) Regional differences in Capacity Utilization are significant, being Southwestern China the region that has most seriously underutilized its Capacity. (4) Promoting transportation technology innovation and more rational transportation resources planning are two key mechanisms to improve Capacity Utilization. This paper broadens our research knowledge of the transportation industry by proposing new measurement approaches for Capacity Utilization. These can be used to implement more effective and targeted policies, better allocate production resources, and closely monitor Capacity Utilization.
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estimating Capacity Utilization of chinese manufacturing industries
Socio-economic Planning Sciences, 2019Co-Authors: Guo-liang Yang, Hirofumi Fukuyama, Yaoyao SongAbstract:Abstract This study investigates the Capacity Utilization (CU) of Chinese manufacturing industries, using a CU indicator based on data envelopment analysis and directional distance functions (DDFs). The inputs are separated into variable inputs and a quasi-fixed input to measure the gap of DDFs, which indicated either under-Utilization of inputs or overCapacity. Moreover, we define an indicator for CU change over time and introduced the corresponding decomposition. We note that, during the study time period (2007–2010), the CU of Chinese manufacturing industries improved, which implies that Chinese manufacturing industries expanded their production and got closer to their Capacity during the examined period. The driving force of this improvement is technical changes. The higher average CU values of light manufacturing industries than that of the heavy industries and the extremely high CU values of two light industries reveal a severe overCapacity problem in the light industries. We also provided the methods and conduct analysis on determining optimal variable inputs and the type of the overCapacity on specific DMUs. The bootstrap regression procedures are employed to test the influence of environmental variables on CU values. Finally, we provide policy implications and suggestions for policymakers who oversee the development of Chinese manufacturing industries.
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measuring the chinese regional production potential using a generalized Capacity Utilization indicator
Omega-international Journal of Management Science, 2018Co-Authors: Guo-liang Yang, Hirofumi FukuyamaAbstract:Abstract This paper aims to measure the regional production potential of Chinese provinces based on a generalized Capacity Utilization (CU) indicator. To develop this indicator, we first categorize the factors of production into fixed and variable inputs. Second, we define the generalized CU indicator as the difference between two directional distance functions constructed relative to the traditional production possibility set (PPS) and a potential-output PPS. This CU indicator can measure the extent to which the current variable inputs of the assessed decision-making unit are utilized to produce the maximal amounts of outputs. Third, we use a dataset of 30 provinces in China to gauge their CU levels in terms of selected inputs and outputs. Finally, based on the empirical results, we draw some policy suggestions for Chinese policy makers.
Thomas N Hubbard - One of the best experts on this subject based on the ideXlab platform.
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information decisions and productivity on board computers and Capacity Utilization in trucking
The American Economic Review, 2003Co-Authors: Thomas N HubbardAbstract:Productivity reflects not only how efficiently inputs are transformed into outputs, but also how well information is applied to resource allocation decisions. This paper examines how information technology has affected Capacity Utilization in the trucking industry. Estimates for 1997 indicate that advanced on-board computers (OBCs) have increased Capacity Utilization among adopting trucks by 13 percent. These increases are higher than for 1992, suggesting lags in the returns to adoption, and are highly skewed across hauls. The 1997 estimates imply that OBCs have enabled 3-percent higher Capacity Utilization in the industry, which translates to billions of dollars of annual benefits. (JEL D24, L92, O33, O47)
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information decisions and productivity on board computers and Capacity Utilization in trucking
Social Science Research Network, 2001Co-Authors: Thomas N HubbardAbstract:Productivity reflects not only how efficiently inputs are transformed into outputs, but also how well information is brought to bear on resource allocation decisions. This paper examines this empirically by looking at how on-board computer (OBC) adoption has affected Capacity Utilization in the trucking industry. Estimates using 1997 data indicate that Capacity Utilization has increased by an average of 13% among trucks for which advanced OBCs have been adopted. The average benefits to adopters are higher in 1997 than 1992, suggesting lags in the returns to adoption, and are highly skewed across hauls. The 1997 estimates imply that OBC-enabled improvements in decision-making have led to 3% higher Capacity Utilization in the industry, which translates to billions of dollars of annual benefits. The commercialization of other wireless networking applications has the potential to generate analogous benefits in other contexts.
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information decisions and productivity on board computers and Capacity Utilization in trucking
Research Papers in Economics, 2001Co-Authors: Thomas N HubbardAbstract:Productivity reflects not only how efficiently inputs are transformed into outputs, but also how well information is brought to bear on resource allocation decisions. This paper examines this empirically by looking at how on-board computer (OBC) adoption has affected Capacity Utilization in the trucking industry. Estimates using 1997 data indicate that Capacity Utilization has increased by an average of 13% among trucks for which advanced OBCs have been adopted. The average benefits to adopters are higher in 1997 than 1992, suggesting lags to the returns to adoption, and are highly skewed across hauls. The 1997 estimates imply that OBC-enabled improvements in communications and resource allocation decisions have led to a 3% increase in Capacity Utilization in the industry, which translates to billions of dollars of annual benefits. The commercialization of other wireless networking applications has the potential to generate analogous benefits in other contexts.
Jingxiao Zhang - One of the best experts on this subject based on the ideXlab platform.
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measuring the Capacity Utilization of china s transportation industry under environmental constraints
Transportation Research Part D-transport and Environment, 2020Co-Authors: Jingxiao Zhang, Simon P. Philbin, Qing-chang Lu, Pablo Ballesterosperez, Hui Li, Guo-liang YangAbstract:Abstract The transportation industry is challenged by the need for Capacity optimization, energy saving and decreasing emissions. Improving our understanding of Capacity Utilization is important for achieving a strong transportation system. This article analyzes the relationship between carbon dioxide emissions and final energy consumption in the transportation industry. The Capacity Utilization of China's transportation industry in the period 2011–2017 is explored by two improved DEA-based difference methods. They assess the status quo of China’s Capacity Utilization and explores effective mechanisms to increase it. In addition, the rationale and accuracy of both measurement models are analyzed. Results show that: (1) the relationship between CO2 emissions and final energy consumption can be taken advantage of to improve the accuracy of Capacity Utilization measurements. (2) China's transportation industry has suffered from the underUtilization of Capacity, especially in the past three years. (3) Regional differences in Capacity Utilization are significant, being Southwestern China the region that has most seriously underutilized its Capacity. (4) Promoting transportation technology innovation and more rational transportation resources planning are two key mechanisms to improve Capacity Utilization. This paper broadens our research knowledge of the transportation industry by proposing new measurement approaches for Capacity Utilization. These can be used to implement more effective and targeted policies, better allocate production resources, and closely monitor Capacity Utilization.
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measuring the Capacity Utilization of china s transportation industry under environmental constraints
Transportation Research Part D-transport and Environment, 2020Co-Authors: Jingxiao Zhang, Simon P. Philbin, Qing-chang Lu, Pablo Ballesterosperez, Hui Li, Guo-liang YangAbstract:Abstract The transportation industry is challenged by the need for Capacity optimization, energy saving and decreasing emissions. Improving our understanding of Capacity Utilization is important for achieving a strong transportation system. This article analyzes the relationship between carbon dioxide emissions and final energy consumption in the transportation industry. The Capacity Utilization of China's transportation industry in the period 2011–2017 is explored by two improved DEA-based difference methods. They assess the status quo of China’s Capacity Utilization and explores effective mechanisms to increase it. In addition, the rationale and accuracy of both measurement models are analyzed. Results show that: (1) the relationship between CO2 emissions and final energy consumption can be taken advantage of to improve the accuracy of Capacity Utilization measurements. (2) China's transportation industry has suffered from the underUtilization of Capacity, especially in the past three years. (3) Regional differences in Capacity Utilization are significant, being Southwestern China the region that has most seriously underutilized its Capacity. (4) Promoting transportation technology innovation and more rational transportation resources planning are two key mechanisms to improve Capacity Utilization. This paper broadens our research knowledge of the transportation industry by proposing new measurement approaches for Capacity Utilization. These can be used to implement more effective and targeted policies, better allocate production resources, and closely monitor Capacity Utilization.
Gilberto Tadeu Lima - One of the best experts on this subject based on the ideXlab platform.
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macroeconomic performance under evolutionary dynamics of employee profit sharing
Review of Keynesian Economics, 2020Co-Authors: Gilberto Tadeu Lima, Jaylson Jair Da SilveiraAbstract:This paper investigates the impact on Capacity Utilization and economic growth as variables driven by effective demand of income distribution featuring the possibility of profit-sharing with workers. Firms choose to compensate workers with either a base wage or a share of profits on top of this base wage. In accordance with robust empirical evidence, workers in sharing firms have higher productivity than workers in non-sharing firms. The distribution of employee compensation strategies and labor productivity across firms is evolutionarily time-varying. Two major results carrying relevant theoretical and policy implications are obtained. First, heterogeneity in employee compensation strategies across firms (and therefore earnings inequality across workers) may emerge as a long-run equilibrium outcome. Second, beyond the short run, a higher fraction of profit-sharing firms may result in either higher or lower rates of Capacity Utilization and economic growth.
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debt financial fragility and economic growth a post keynesian macromodel
Journal of Post Keynesian Economics, 2006Co-Authors: Antonio J A Meirelles, Gilberto Tadeu LimaAbstract:A Post Keynesian macromodel of Capacity Utilization and economic growth is developed in which the supply of credit-money by the banking system is endogenous, and firms' financial fragility is explicitly modeled. Both the influence of interest rate and indebtedness on Capacity Utilization and the rates of profit and economic growth, on the one hand, and the effect of the parameters of the saving and investment functions on firms' financial fragility, on the other hand, are carefully analyzed.
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debt financial fragility and economic growth a post keynesian macromodel
Research Papers in Economics, 2004Co-Authors: Antonio J A Meirelles, Gilberto Tadeu LimaAbstract:It is developed a mathematical post-keynesian macromodel of Capacity Utilization and growth in which the supply of credit-money is endogenous and firms' debt position - and thus the financial fragility of the economy - is explicitly modeled. Both the influence of interest rate and indebtedness on Capacity Utilization and the rates of profit and growth, on the one hand, and the effect of the parameters of the saving and investment functions on financial fragility, on the other hand, are carefully analyzed.
Hui Li - One of the best experts on this subject based on the ideXlab platform.
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measuring the Capacity Utilization of china s transportation industry under environmental constraints
Transportation Research Part D-transport and Environment, 2020Co-Authors: Jingxiao Zhang, Simon P. Philbin, Qing-chang Lu, Pablo Ballesterosperez, Hui Li, Guo-liang YangAbstract:Abstract The transportation industry is challenged by the need for Capacity optimization, energy saving and decreasing emissions. Improving our understanding of Capacity Utilization is important for achieving a strong transportation system. This article analyzes the relationship between carbon dioxide emissions and final energy consumption in the transportation industry. The Capacity Utilization of China's transportation industry in the period 2011–2017 is explored by two improved DEA-based difference methods. They assess the status quo of China’s Capacity Utilization and explores effective mechanisms to increase it. In addition, the rationale and accuracy of both measurement models are analyzed. Results show that: (1) the relationship between CO2 emissions and final energy consumption can be taken advantage of to improve the accuracy of Capacity Utilization measurements. (2) China's transportation industry has suffered from the underUtilization of Capacity, especially in the past three years. (3) Regional differences in Capacity Utilization are significant, being Southwestern China the region that has most seriously underutilized its Capacity. (4) Promoting transportation technology innovation and more rational transportation resources planning are two key mechanisms to improve Capacity Utilization. This paper broadens our research knowledge of the transportation industry by proposing new measurement approaches for Capacity Utilization. These can be used to implement more effective and targeted policies, better allocate production resources, and closely monitor Capacity Utilization.
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measuring the Capacity Utilization of china s transportation industry under environmental constraints
Transportation Research Part D-transport and Environment, 2020Co-Authors: Jingxiao Zhang, Simon P. Philbin, Qing-chang Lu, Pablo Ballesterosperez, Hui Li, Guo-liang YangAbstract:Abstract The transportation industry is challenged by the need for Capacity optimization, energy saving and decreasing emissions. Improving our understanding of Capacity Utilization is important for achieving a strong transportation system. This article analyzes the relationship between carbon dioxide emissions and final energy consumption in the transportation industry. The Capacity Utilization of China's transportation industry in the period 2011–2017 is explored by two improved DEA-based difference methods. They assess the status quo of China’s Capacity Utilization and explores effective mechanisms to increase it. In addition, the rationale and accuracy of both measurement models are analyzed. Results show that: (1) the relationship between CO2 emissions and final energy consumption can be taken advantage of to improve the accuracy of Capacity Utilization measurements. (2) China's transportation industry has suffered from the underUtilization of Capacity, especially in the past three years. (3) Regional differences in Capacity Utilization are significant, being Southwestern China the region that has most seriously underutilized its Capacity. (4) Promoting transportation technology innovation and more rational transportation resources planning are two key mechanisms to improve Capacity Utilization. This paper broadens our research knowledge of the transportation industry by proposing new measurement approaches for Capacity Utilization. These can be used to implement more effective and targeted policies, better allocate production resources, and closely monitor Capacity Utilization.
