scholarly journals Industrial agglomeration, geographic innovation and total factor productivity: The case of Taiwan

2009 ◽  
Vol 79 (9) ◽  
pp. 2787-2796 ◽  
Author(s):  
Chia-Lin Chang ◽  
Les Oxley
Keyword(s):  
Total Factor Productivity ◽  
Industrial Agglomeration ◽  
Factor Productivity

scholarly journals Industrial Agglomeration, Foreign Direct Investment and Green Total Factor Productivity―Evidence from Manufacturing Industries in Chongqing, China

2018 ◽  
Author(s):  
Guohua Yu ◽  
Shuqin Xu
Keyword(s):  
Foreign Direct Investment ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Manufacturing Industry ◽  
Spillover Effect ◽  
Inhibitory Effect ◽  
Industrial Agglomeration ◽  
Factor Productivity ◽  
Development Mode ◽  
Conduction Path

This paper studies the influence mechanism of industrial agglomeration and foreign direct investment (FDI) on green total factor productivity (GTFP). We use the SBM Directional Distance Function to measure the GTFP of Chongqing's manufacturing industry from 1999 to 2015. The results show that the level of GTFP in Chongqing's manufacturing industry is relatively low, which is contrary to the current green development mode. By clarifying the conduction path of industrial agglomeration and FDI on GTFP, we use the panel Tobit model to study the effect of industrial agglomeration and FDI on GTFP. The main findings are: the higher the level of industrial agglomeration, the more beneficial it is to increase GTFP. FDI has an inhibitory effect on GTFP. The spillover effect of FDI on GTFP is not significant. At the same time, FDI counteracts the role of industrial agglomeration in promoting GTFP. The findings in a present study indicate that, according to Chongqing's experience, the "pollution haven" is established. Therefore, relying solely on foreign technology to promote the development of the manufacturing industry has many drawbacks clearly. Only by improving the ability of independent innovation is the reliable way to enhance GTFP effectively.

scholarly journals The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 606
Author(s):  
Bingfei Bao ◽  
Anli Jiang ◽  
Shengtian Jin ◽  
Rui Zhang
Keyword(s):  
Total Factor Productivity ◽  
Poyang Lake ◽  
Annual Rainfall ◽  
Industrial Agglomeration ◽  
Grain Production ◽  
Factor Productivity ◽  
Average Annual Temperature ◽  
Average Annual Rainfall ◽  
Sown Area ◽  
Growing Population

The total factor productivity (hereafter TFP) of grain production is important to achieve balanced development, while environmental factors are an important part of TEP. In order to explore the characteristics and patterns of the temporal and spatial evolution of the environmental total factor productivity (hereafter ETFP), the Malmquist-Luerberger index, and the spatial autoregressive panel (SAR panel) model were adopted to analyze the evolutionary rules and the influencing factors of ETFP. In this study, we took Poyang Lake, one of China’s main grain production areas, as a study area, and carried out empirical research based on grain production statistical data. The results show that: (1) ETFP shows a growth trend with the increase of grain production from 2001 to 2017, and a great potential for improvement exists. Moreover, from the perspective of time sequence evolution and decomposition of ETFP, which belongs to the dual-track driver of environmental technical efficiency and environmental technological progress, relevant technologies play an important role in promoting the improvement of TEFP; (2) Given that the objective conditions of gain production remain unchanged, the fact that the urbanization rate and average annual rainfall have a negative effect on ETFP, the explanatory variables such as the business scale per worker, the proportion of grain growing population, industrial agglomeration, the proportion of grain sown area and the average annual temperature all play a positive role. Among the variables, the business scale per worker and the proportion of grain growing population significantly affect ETFP at the 1% level. The average annual rainfall, industrial agglomeration and the proportion of grain sown area significantly affect the ETFP at the 5% level. The average annual temperature significantly affects the ETFP at the 10% level.

scholarly journals Agglomeration and Productivity: Evidence from Indian Manufactuaring

2020 ◽  
Vol 8 (1) ◽  
pp. 75-94
Author(s):  
Renjith Ramachandran ◽  
Ketan Reddy ◽  
Subash Sasidharan
Keyword(s):  
Total Factor Productivity ◽  
Positive Impact ◽  
Econometric Analysis ◽  
Industrial Agglomeration ◽  
Factor Productivity ◽  
Annual Survey ◽  
Level Data ◽  
Plant Level ◽  
The Impact ◽  
Productivity Gains

This study analyses the impact of industrial agglomeration on the total factor productivity (TFP) of Indian manufacturing. We employ plant-level data from the Annual Survey of Industries (ASI) to measure TFP and industrial agglomeration. Our econometric analysis discerns a positive impact of industrial agglomeration on plant productivity. In addition, we find that the larger plants are the beneficiaries of productivity gains associated with agglomeration. Further, our findings are robust to alternate measures of TFP.

An Analysis of Total Factor Productivity, Factor demand, and Profit of India’s Agriculture

2015 ◽  
Vol 6 (2) ◽  
pp. 360-370
Author(s):  
Sharmistha Nag ◽  
Debarpita Roy ◽  
Laxmi Joshi ◽  
P. C. Parida ◽  
Hari K. Nagarajan
Keyword(s):  
Total Factor Productivity ◽  
Factor Productivity ◽  
Factor Demand ◽  
Productivity Factor
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