Total Factor Productivity Analysis Research Articles

A configurational analysis of innovation environment and industrial green total factor productivity

This paper examines the necessary and sufficient influence of the innovation environment, which incorporates various innovation variables, on IGTFP from a configurational standpoint. This paper utilizes fuzzy qualitative comparative analysis and necessary condition analysis methodologies. A total of 11 models are found to be driven by the innovation environment for IGTFP. Technological output is necessary for IGTFP and thus a fundamental factor in various models. The effects of wages and human capital on IGTFP are also relatively significant. Longitudinally, there is no consistent innovation environment-driven model. This paper reveals the intricate associations between the innovation ecosystem and IGTFP while elucidating the mechanism of variable effects on IGTFP influenced by varying spatio-temporal environments, which significantly amplifies current comprehension of the mean effect link between the two. Concurrently, the article furnishes methodological direction for subsequent investigation into the complexity of the relationships between relevant variables.

Does information and communication technology improve labor productivity? Recent evidence from the Southeast Asian emerging economies

AbstractThe comprehension of the textbook and augmented Solow growth model has been studied to picture the consequences of workforce growth and capital. In the age of digitalization, Information and Communications Technology (ICT) is also the first necessity identified factors affecting labor productivity. This paper revisits the augmented Solow growth equation by integrating ICT as an explanator that improves labor productivity in Southeast Asian emerging economies. We used a Two‐Way Random‐Effects Model to regress the impact of workforce growth rate, physical capital, and human capital on labor productivity. The results show that using human capital is essential to improve output in emerging market countries rather than only using physical capital. According to our adjusted ICT factors, our analysis reveals that using the Internet and mobile cellular significantly boosts labor productivity. Moreover, the analysis of total factor productivity shows that most Southeast Asian economies highly depend on implementing ICT, especially the contribution of Internet usage and mobile cellular. Therefore, this study contributes to further studies and policy recommendations in improving the introduction of Internet usage and installation, especially for the emerging Southeast Asian.

Analysis of Total Factor Productivity Among Rice Farmers in Southwestern Nigeria.

Analysis of Total Factor Productivity Among Rice Farmers in Southwestern Nigeria.

Analysis of Total Factor Productivity Among Rice Farmers in Southwestern Nigeria.

Analysis of Total Factor Productivity Among Rice Farmers in Southwestern Nigeria.

An Empirical Analysis of Capacity Utilization and Total Factor Productivity to Inference on Technical Efficiency Level of Tunisian Manufacturing Industry

An Empirical Analysis of Capacity Utilization and Total Factor Productivity to Inference on Technical Efficiency Level of Tunisian Manufacturing Industry

Total factor productivity of Russian companies: Assessments, trends, and dynamic factors

The article presents the results of the analysis of total factor productivity( TFP) of Russian companies across eight industries — agriculture, extraction, processing, energy, water supply, trade, transportation, and information and communication — during the period of 2012 to 2020. Over this timeframe, there was an observable trend of decreasing TFP among Russian companies cumulatively. Sector-specific analysis reveals an upward TFP trend in agriculture, extraction, and trade sectors, while in information and communication, the metric remained virtually unchanged. Almost across all sectors, except for information and communication, private companies exhibited lower TFP compared to stateowned enterprises (SOEs) with direct government ownership. Furthermore, in the extraction sector, SOEs demonstrated higher TFP than private organizations. However, the TFP of medium and small private companies proved to be higher across all sectors, excluding agriculture and extraction. Additionally, it was found that both private companies and SOEs with direct government ownership lagged behind the productivity of SOEs with indirect government ownership, except for the extraction sector, where these distinctions were negligible

Research on the impact of digital economy on industrial green total factor productivity—analysis based on Chinese provinces

Against the background of booming digital economy growth and the perspective of industrial green transformation, this article empirically evaluates the impact of digital economy on industrial green total factor productivity (GTFP) based on provincial-level panel data in China from 2010 to 2020. First, this article calculates the digital economy index (DEI) and industrial GTFP, analyzes the regional development characteristics of the two, and finds that the growth of digital economy and industrial GTFP is unbalanced, basically showing the east high and west low distribution. Then, empirically examines the impact of digital economy on industrial GTFP and finds that digital economy can significantly improve industrial GTFP, with obvious regional variability. Finally, the threshold model regression reveals that this promotion effect has a threshold effect, which gradually weakened as the DEI value crosses the corresponding threshold value.

Industry contributions to productivity growth in U.S. manufacturing: an application of alternative output concepts

To understand the performance of the U.S. manufacturing sector, in this article, we explore the performance of individual industries. We first use the U.S. Bureau of Labor Statistics published data to look at the influence of industries on sector-level performance and total factor productivity (TFP) growth. The underlying dynamics of production in any given industry determine its influence on the sector as a whole. Both an industry’s share of output and its individual TFP growth vary over time, and these changes jointly determine the industry’s contribution to performance in the manufacturing sector. Next, we trace the contribution of industries to manufacturing sector TFP by using three alternative output concepts—value-added output, sectoral output, and gross output. We examine the differences in industry contributions that result from the use of the alternative output measures, over 2000–21 and three different business cycles (2000–07, 2007–19, and 2019–21). We show that one must carefully deliberate before selecting a value-added-output, sectoral-output, or gross-output framework for TFP and contribution analysis.

The econometric analysis of voluntary environmental regulations and total factor productivity in agribusiness under digitization.

Under the new development pattern, both "digital" and "low-carbon" development have entered the fast track, and digital transformation has become an important path to promote green development and enhance total factor productivity in agriculture. Based on the data of agricultural companies, this paper empirically verifies the impact of voluntary environmental regulations on total factor productivity. The empirical results show that voluntary environmental regulation has a significant positive impact on total factor productivity of agribusiness. In the mechanistic analysis, it is found that voluntary environmental regulations accelerate the digital transformation process of firms, which in turn increases their total factor productivity. In addition, the level of government environmental concern contributes to the increase of voluntary environmental regulations on firms' total factor productivity. The findings have practical implications for the sustainable development of agribusiness, providing empirical evidence for policy formulation and adjustment, and helping the agricultural economy to achieve high-quality development.

Does innovative city pilot policy promote urban green growth in China? An analysis of green total factor productivity, 2005–2020

The innovative city pilot policy (ICPP) is an essential manifestation of China’s construction of an innovative and green-driven development country. We incorporated urban green total factor productivity (GTFP) growth into the evaluation of ICPP. Based on the panel data of 223 cities in China from 2005 to 2020, we used the difference-in-differences model to empirically assess the influence and mechanism of the ICPP on urban GTFP growth. The main results show that (i) The ICPP has maintained an effectively fluctuating promotion on urban GTFP growth, mainly manifested in the urban green technological progress improvement. (ii) The ICPP has urban heterogeneity in promoting GTFP growth in pilot cities, mainly affecting key cities such as provincial capitals. (iii) The interaction between the agglomeration of producer services and the ICPP inhibits GTFP growth in pilot cities.

Spatial-temporal evolution and convergence analysis of agricultural green total factor productivity-evidence from the Yangtze River Delta Region of China.

Measuring regional differences in agricultural green total factor productivity (AGTFP) provides a basis for policy guidance on agricultural green development in the Yangtze River Delta (YRD) region. By constructing a two-period Malmquist-Luenberger index under the carbon emission constraint, we measure the AGTFP of cities in the YRD region from 2001 to 2019. Furthermore, adopting the Moran index method and the hot spot analysis method, this paper analyzes the global spatial correlation and local spatial correlation of AGTFP in this region. Moreover, we investigate its spatial convergence. The results show that the AGTFP of 41 cities in the YRD region is on an increasing trend; the growth of AGTFP in the eastern cities is mainly driven by green technical efficiency, while this growth in the southern cities is mainly stimulated by green technical efficiency and green technological progress. We also find a significant spatial correlation between cities' AGTFP in the YRD region from 2001 to 2019, but with certain fluctuations, showing a U-shaped trend of "strong-weak-strong". In addition, absolute β convergence of the AGTFP exists in the YRD region, and this convergence speed is accelerated with the addition of spatial factors. This evidence provides support for implementing the regional integration development strategy and optimizing the regional agricultural spatial layout. Our findings offer implications for promoting the transfer of green agricultural technology to the southwest of the YRD region, strengthening the construction of agricultural economic belts and agricultural economic circles, and improving the efficiency of agricultural resource use.

An Empirical Analysis of the Impact of Digital Finance on the Efficiency of Commercial Banks

Based on the background of the digital transformation of commercial banks, the advantages and benefits of this study are to study the promotion effect of digital finance on the production efficiency of commercial banks from four aspects: technological innovation, financial innovation, deep integration of technology and finance, and industry advantages. This study verifies that digital finance has a positive impact on the total factor productivity of commercial banks. In order to study the impact of the development of digital finance on the efficiency of commercial banks, this paper puts forward two assumptions. Using the “text mining method” and taking the total factor productivity of commercial banks as the explanatory variable and the digital finance index as the core explanatory variable, this paper empirically studies the impact of digital finance on bank efficiency. Through empirical research, it is believed that through the analysis of total factor productivity, digital finance has strongly promoted the improvement of the total factor productivity of commercial banks through the technology spillover effect. The impact of digital finance on banks is therefore heterogeneous.

Analysis of Total Factor Productivity of Logistics in Yellow River Basin Based on DEA-Malmquist Model

The article uses the DEA Malmquist model to calculate the total factor productivity of logistics in 9 provinces of the Yellow River Basin from 2017 to 2021. It analyzes the changes in total factor productivity of logistics in the Yellow River Basin from a holistic and inter provincial perspective and decomposes it. Research has found that from 2017 to 2021, the total factor productivity index of each province in the Yellow River Basin was greater than 1, and logistics efficiency continued to improve. However, there is a problem of imbalanced and insufficient development. Some provinces should attach importance to technological improvement and allocate resources reasonably to improve comprehensive technological efficiency.

Dynamic Empirical analysis of urban total factor productivity in Hubei Province: Based on DEA-Malmquist index method

High-quality development stage pays more attention to the improvement of supply-side efficiency. TFP can effectively reflect the efficiency of resource allocation and is related to the sustainable and healthy development of economy. Based on the DEA-Malmquist index method, the data of 12 representative cities in Hubei Province from 2010 to 2019 are selected for dynamic empirical analysis of TFP. It is finded that the overall increase trend of TFP in Hubei Province during the selected period is not obvious, mainly due to the impact of technological regression. Technical efficiency has been improved, but it is not enough to make up for the "drag effect" of technological regression. Further analysis of the decomposition terms of technical efficiency shows that the improvement of scale efficiency is greater than that of pure technical efficiency. From the urban distribution characteristics of TFP improvement, the decline of TFP in most cities is the cause of the decline of TFP, and the vast majority of cities show different degrees of technological regression. The results of the empirical analysis attempt to provide policy enlightenment for the recovery of economy and regional coordinated high-quality development after the epidemic in Hubei Province .

A Comparative Analysis of Technical Efficiency, Technological Change and Total Factor Productivity in Selected ASEAN+3 Countries

A Comparative Analysis of Technical Efficiency, Technological Change and Total Factor Productivity in Selected ASEAN+3 Countries

A comparative analysis of technical efficiency, technological change and total factor productivity in selected ASEAN+3 countries

A comparative analysis of technical efficiency, technological change and total factor productivity in selected ASEAN+3 countries

Measurement of China's Green Total Factor Productivity Introducing Human Capital Composition.

In the face of resource and environmental problems caused by extensive economic development, China has put forward a green development strategy. Scientific measurement and analysis of green total factor productivity (GTFP) is of great significance for achieving high-quality economic development. By introducing the human capital composition, including education, health, scientific research, and training, this paper study adopts the Slack Based Measure-Global Malmquist-Luenberger (SBM-GML) index to re-measure the GTFP and its decomposition of 30 provinces, municipalities, and autonomous regions in China from 2000 to 2019. The results show that: (1) China’s GTFP has a fluctuating growth trend, with an average annual growth rate of 2.31%. (2) In terms of its decomposition, technical progress is the main force driving GTFP growth, with a contribution rate of 1.59%; the improvement of technical efficiency is a secondary driving force, with a contribution rate of 0.71%. (3) The measurement results of GTFP, considering the human capital composition, are generally higher than those without consideration, and the GTFP growth under the two modes shows a trend of “high in the east and low in the west”. The conclusions have enlightening significance for improving GTFP and the growth potential of the economy in China.

An Analysis of Total Factor Productivity of Rice in Assam

The present study was conducted of estimating the total factor productivity (TFP) growth of rice and its contribution to rice production in Assam and examining the determinants of TFP. The study was carried out for two decades, from 1991-92 to 2010-11, using secondary data, estimated us the Tornqvist Theil index. The input, output, and TFP indices were calculated at a constant price (for 1991-92) of the inputs and outputs to nullify the nominal price effect. Again, the indices were computed for per hectare area and total area under rice in the state to know how efficiently inputs were utilized in both situations. To evaluate the determinants of TFP in Assam, regression was carried out by using Cobb Douglas production function. The study revealed that TFP growth for rice at a constant price was found to be positive in both per hectare area and total area for the study period. Determinants like investment in agriculture and allied activities, expenditure in agricultural research and education, HYV area, rural literacy, irrigation, and cropping intensity were found to have a positive impact on TFP.

Analysis of green total factor productivity in OECD and BRICS countries: based on the Super-SBM model

Abstract To address the conflict between environmental constraints and fast economic growth, as well as to coordinate green growth strategies between developing and developed countries, improving green total factor productivity (GTFP) is an important way to accelerate the green and low-carbon transformation and get rid of the problems of environment and resources. Therefore, it is significant to analyze and compare the GTFP of Organization for Economic Cooperation and Development (OECD) and BRICS (i.e. Brazil, Russia, India, China and South Africa) countries. By applying the Super-SBM model, our study analyzes the distribution characteristics and the evolving trend of GTFP. The empirical results indicate that: (1) The GTFP of BRICS countries has significantly improved, but there is still a significant gap compared with OECD countries. (2) Brazil, Luxembourg and Norway's GTFP values are higher than others. (3) Among the BRICS countries, Brazil exhibits the highest value and China has the minimum value, which was far ahead in energy consumption and PM2.5. (4) In the analysis of OECD countries, Hungary displays the lowest average value and Luxembourg has the highest average value. As such, some policy implications improve green and low-carbon development.

Empirical Analysis of Productivity among Broiler Farmers

Broiler production supplements income of smallholder farm households. Profitability and productivity and analysis are important considerations in measuring efficiency or performance of a farm business; hence, improved output and income are not only a function of increase in the scale of production, but also how efficiently the resources are being utilized. This study therefore estimates the profitability and level of productivity among broiler farmers in Jos North, Plateau State, Nigeria. Multistage sampling technique was employed to select respondents for this study. Primary data collected were analysed using descriptive statistics, farm budgeting model and Total Factor Productivity (TFP) analysis. The study revealed that the net farm income of broiler production was ₦96,900/flock size; suggesting a relatively profitable venture with prospects for improved economic potentials. The estimated percentage profit margin was 45.6%; indicative of the percentage net margin accruable to the farmer from the estimated gross margin and benefit-cost ratio was 0.84. Furthermore, most (54.3%) of broiler farmers were sub-optimally productive as their TFP indices were below the optimal scale; attributable to sub-efficient input mix and cost of production inputs. In addition, constraints of broiler production in the study area included the following; high cost of feeds (92.9); high cost of chicks (85.7%); financial constraints (80%); high cost of poultry equipment (55.7%); high cost of medication (35.7); disease outbreak (28.6%) and inefficient market system (21.4%). Improving access to and subsidy of poultry feeds, chicks, production inputs and credit, extension, medical services and cooperative formation for market linkages are strongly recommended.