scholarly journals Productivity Growth-Accounting for Undesirable Outputs and Its Influencing Factors: The Case of China

2016 ◽  
Vol 8 (11) ◽  
pp. 1166 ◽  
Author(s):  
Junfeng Zhang ◽  
Hong Fang ◽  
Bo Peng ◽  
Xu Wang ◽  
Siran Fang
Keyword(s):  
Influencing Factors ◽  
Productivity Growth ◽  
Growth Accounting ◽  
Undesirable Outputs

scholarly journals Regional Differences of Manufacturing Green Development Efficiency Considering Undesirable Outputs in the Yangtze River Economic Belt Based on Super-SBM and WSR System Methodology

2021 ◽  
Vol 8 ◽  
Author(s):  
Gen Li ◽  
Ying Zhou ◽  
Fan Liu ◽  
Tao Wang
Keyword(s):  
Influencing Factors ◽  
Regional Differences ◽  
Yangtze River ◽  
Manufacturing Industry ◽  
Mean Value ◽  
Three Dimensions ◽  
Scale Efficiency ◽  
Undesirable Outputs ◽  
The Yangtze River ◽  
Green Development

To explore the evolution mechanism of manufacturing green development efficiency is of great significance to realize green transformation of manufacturing industry in the Yangtze River Economic Belt. This paper fully considers the resource inputs and undesirable outputs in the production process and applies WSR methodology to construct the index system of influencing factors. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 1998 to 2017, the super-SBM model is used to calculate the manufacturing green development efficiency. Then, the regional differences of manufacturing green development efficiency in the Yangtze River Economic Belt are deeply analyzed. Finally, Tobit model is applied to analyze the influencing factors of the manufacturing green development efficiency. And it turns out, during the statistics period, manufacturing green development efficiency in the Yangtze River Economic Belt is “U” shaped distribution, the mean value of each province over the years is 0.812, which is at the medium development level; the manufacturing green development efficiency in the Yangtze River Economic Belt is on the rise, and the low scale efficiency is the main reason that restricts the manufacturing green development efficiency in the Yangtze River Economic Belt. All the influencing factors have different effects on the manufacturing green development efficiency in different regions. Therefore, this paper puts forward corresponding policy suggestions from the three dimensions of Wuli, Shili and Renli.

Estimating Productivity When Primal and Dual TFP Accounting Fail: An Illustration Using Singapore's Industries

2004 ◽  
Vol 4 (1) ◽  
Author(s):  
Hiau Looi Kee
Keyword(s):  
Productivity Growth ◽  
Returns To Scale ◽  
Perfect Competition ◽  
Growth Accounting ◽  
Tfp Growth ◽  
General Production ◽  
Structural Regression ◽  
Primal And Dual ◽  
Factor Shares ◽  
Constant Returns To Scale

Abstract For both primal and dual TFP growth accounting to properly account for productivity growth, assumptions of constant returns to scale and perfect competition are necessary. This paper shows that without these assumptions, while both TFP growth accounting measures remain equal if factor shares are constant, they are also equally bad at measuring productivity growth. This paper proposes a structural regression to estimate productivity growth based on more general production and cost functions. Using Singapore's industries as illustrations, this paper finds that the assumptions are widely rejected, and the estimated productivity growth exceeds both the accounting measures. When the same methodology is applied to the aggregate Singapore data, the estimated productivity growth is 4.4 percent per year, significantly higher than that of Young's (1992) and Hsieh's (2002).

Does innovation matter for total factor productivity growth in India? Evidence from ARDL bound testing approach

2018 ◽  
Vol 13 (5) ◽  
pp. 1311-1329 ◽  
Author(s):  
Seenaiah Kale ◽  
Badri Narayan Rath
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Growth Accounting ◽  
Factor Productivity ◽  
Content Type ◽  
Tfp Growth ◽  
Innovation Activities ◽  
Long Run ◽  
Short Run ◽  
Testing Approach

Purpose The purpose of this paper is to examine whether innovation plays a significant role in the total factor productivity (TFP) growth in India at an aggregate level. Design/methodology/approach This study first estimates the TFP growth using a growth accounting framework. In the second stage, the authors examine the long-run and short-run impact of innovation on TFP growth using the ARDL bound testing approach. Findings The results indicate a cointegrating relationship between innovation and TFP growth. Further, coefficients of long-run elasticity show that the increase in overall innovation activities improves the TFP growth. Other factors such as human capital, financial development and FDI do not affect the TFP growth in the long run; however, these variables significantly affect the productivity growth in the short run. Practical implications Findings of the study suggest that the innovation-friendly policies such as the strengthening of intellectual property rights, R&D subsidies and innovation rebates may spur the productivity growth, and hence, good growth and prosperity as well. Originality/value Having devoted a large volume of literature to address the sources of economic growth, the present study focuses on the determinants of TFP growth in India which may fall in similar category but differ in several angles: First, the authors construct a TFP index using a growth accounting framework. Second, the authors construct an innovation index using principal component analysis which is new to the literature and also an innovation index. Third, given the scanty innovation activities in low developed countries like India and its widening role in the contemporary literature, special emphasis will be given to this aspect. Finally, the effect of the examined relationship on TFP growth in the long run and short run provides several implications for policy purpose to the developing nations like India.

Productivity

2013 ◽  
Author(s):  
Stephen N. Broadberry ◽  
Claire Giordano ◽  
Francesco Zollino
Keyword(s):  
Economic Growth ◽  
Labor Productivity ◽  
Productivity Growth ◽  
The Other ◽  
Growth Accounting ◽  
Factor Productivity ◽  
International Context ◽  
Labor Productivity Growth ◽  
Catching Up ◽  
Productivity Dynamics

Italy's economic growth over its 150 years of unified history did not occur at a steady pace, nor was it balanced across sectors. Relying on an entirely new input (labor and capital) database, this chapter evaluates the different labor productivity growth trends within the Italian economy's sectors, as well as the contribution of structural change to productivity growth. Italy's performance is then set in an international context: a comparison of sectoral labor productivity growth rates and levels within a selected sample of countries (United Kingdom, United States, Germany, Japan, India) allows us to better time, quantify, and gauge the causes of Italy's catching-up process and subsequent more recent slowdown. Finally, the paper analyzes the proximate sources of Italy's growth, relative to the other countries, in a standard growth accounting framework, in an attempt also to disentangle the contribution of both total factor productivity growth and capital deepening to the country's labor productivity dynamics.

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