Research on relationship between FDI and Green Total Factor Productivity Based on Fixed Effects Model——China’s Manufacturing Data

2020 ◽  
Author(s):  
Yundi Zhong ◽  
Bo Sun
Keyword(s):  
Total Factor Productivity ◽  
Fixed Effects ◽  
Fixed Effects Model ◽  
Factor Productivity ◽  
Manufacturing Data

scholarly journals Exports, Misallocation, and Total Factor Productivity of Furniture Enterprises

2019 ◽  
Vol 11 (18) ◽  
pp. 4892
Author(s):  
Chang Xu ◽  
Jianbing Guo ◽  
Baodong Cheng ◽  
Yu Liu
Keyword(s):  
Total Factor Productivity ◽  
Value Chain ◽  
Fixed Effects ◽  
Negative Impact ◽  
Market Competition ◽  
Fixed Effects Model ◽  
Factor Productivity ◽  
Labor Costs ◽  
Negative Effect ◽  
The Impact

With the increase in labor costs in China and the tremendous changes in the international trade environment, upgrading the total factor productivity of Chinese furniture export enterprises faces a great challenge. Lots of studies have explored the interaction of exports or misallocation on the total factor productivity (TFP) of furniture enterprises, however, there is little knowledge on the impact and interaction of both exports and misallocation on the TFP. Based on panel data of Chinese furniture enterprises, this paper measures the TFP and the distortion of labor and capital resources in Chinese furniture enterprises. A two-way fixed-effects model is used to analyze the impact of exports and misallocation on the TFP of Chinese furniture enterprises. The paper reveals several important findings. First, the TFP of Chinese furniture export enterprises is lower than that of non-export enterprises, this phenomenon is called the “export–productivity paradox”. Chinese furniture export enterprises are processing trade-oriented and labor-intensive enterprises at the low end of the value chain, exports have a negative effect on improving the TFP of furniture enterprises in the short term. Second, the distortion of labor and capital resources in Chinese furniture enterprises promotes improvements to the TFP of furniture enterprises rather than reducing the TFP of furniture enterprises. Last but not the least, we find that misallocation has a positive moderating effect on exports and can weaken the negative impact of exports on TFP by the “forced mechanism”, which is that the higher the distortion of the misallocation, the higher the cost of acquiring capital and labor, and enterprises are forced to enhance their productivity when facing market competition, thus promoting improvements to the TFP of furniture enterprises.

Internal Determinants Of Bank Profitability In South Africa: Does Bank Efficiency Matter?

2014 ◽  
Vol 13 (5) ◽  
pp. 1033 ◽  
Author(s):  
Andrew Maredza
Keyword(s):  
Total Factor Productivity ◽  
Fixed Effects ◽  
Capital Adequacy ◽  
Fixed Effects Model ◽  
Factor Productivity ◽  
Positive Role ◽  
Bank Efficiency ◽  
Bank Profitability ◽  
Interest Income ◽  
The Impact

In a study conducted by Ncube (2009) to evaluate bank cost and profit efficiency, it was established that South African banks were more efficient at managing costs than generating profits. In this paper, the aim is to complement this particular work by exploring the internal determinants of bank profitability but with more focus on the impact of bank efficiency. Applying a two step-methodology framework to a panel of four small banks and four large banks for the period 2005-2011, total factor productivity efficiency (TFPE) scores were generated using the DEA methodology. Within the first stage, the intermediation approach was followed in which bank inputs included total operating expenses, labour, fixed assets, and total deposits while interest income, non-interest income and gross loans were considered as output variables. Each bank`s efficiency score for each of the periods was then evaluated based on its distance from the constructed efficiency frontier. In the second stage analysis, the Generalised Least Squares Fixed Effects Model was then performed to examine the impact of TFPE among other internal determinant factors on bank profitability indicators, specifically return on average assets (ROAA) and net interest margin (NIM). The obtained empirical findings showed that high total factor productivity efficiency and capital adequacy lead to higher profitability, while high cost inefficiency, diversification activities, large bank size, and high credit risk leads to lower profitability. Of great importance was that both models confirmed the positive role of attaining efficiency as an important driver of profitability among banks.

Determinants of total factor productivity in Visegrad Group Nuts-2 regions

2018 ◽  
Vol 68 (1) ◽  
pp. 31-50 ◽  
Author(s):  
Barbara Danska-Borsiak
Keyword(s):  
Panel Data ◽  
Total Factor Productivity ◽  
Latent Variables ◽  
Fixed Effects ◽  
Orthogonal Transformation ◽  
Common Factors ◽  
Dynamic Panel Data ◽  
Factor Productivity ◽  
The Common ◽  
Visegrad Group

This article attempts to estimate the total factor productivity (TFP) for 35 NUTS-2 regions of the Visegrad Group countries and to identify its determinants. The TFP values are estimated on the basis of the Cobb-Douglas production function, with the assumption of regional differences in productivity. The parameters of the productivity function were analysed with panel data, using a fixed effects model. There are many economic variables that influence the TFP level. Some of them are highly correlated, and therefore the factor analysis was applied to extract the common factors – the latent variables that capture the common variance among those observed variables that have similar patterns of responses. This statistical procedure uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. Each component is interpreted using the contributions of variables to the respective component. I estimated a dynamic panel data model describing TFP formation by regions. An attempt was made to incorporate the common factors among the model’s explanatory variables. One of them, representing the effects of research activity, proved to be significant.

Effects of inequality on total factor productivity : exploring the technical efficiency channel in South Africa

2020 ◽  
Vol 15 (4) ◽  
pp. 97-122
Author(s):  
Delphin Kamanda Espoir ◽  
Nicholas Ngepah
Keyword(s):  
South Africa ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Fixed Effects ◽  
Empirical Studies ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Political Stability ◽  
Factor Productivity ◽  
Positive Effects

A number of empirical studies have attempted to understand the effects of inequality on productivity through various channels such as human capital and political stability but have overlooked the efficiency linkage. This study utilises a stochastic frontier approach and a single-stage maximum likelihood estimation of a true fixed effects and true random effects model to investigate the effects of inequality on total factor productivity across the 52 districts of South Africa. The results obtained from the baseline regressions indicate that inequality has positive effects on technical inefficiency. This implies that an increase in inequality would exerts a negative effect on technical efficiency and therefore total factor productivity. In order to mitigate the negative effects, the study suggests that a mixture of pro-poor policies should be accentuated, as they might positively increase the earnings of those who are at the bottom of the distribution.

scholarly journals Total Factor Productivity of Agricultural Firms in Vietnam and Its Relevant Determinants

Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 4 ◽  
Author(s):  
Mai Huong Giang ◽  
Tran Dang Xuan ◽  
Bui Huy Trung ◽  
Mai Thanh Que
Keyword(s):  
Total Factor Productivity ◽  
Random Effects ◽  
Fixed Effects ◽  
Foreign Ownership ◽  
State Ownership ◽  
Sustainable Growth ◽  
Bank Loan ◽  
Fe Model ◽  
Factor Productivity ◽  
Agricultural Enterprises

In Vietnam, agriculture is a key sector that promotes economic growth and poverty reduction. Therefore, improving productivity in agriculture is indispensable to the sustainability of the country. This research examined productivity and its determinants from 420 enterprises operating in agriculture. Productivity was measured as the total factor productivity (TFP) obtained from fixed and random effects models. The determinants of TFP including size and age, share of state and foreign ownership, export, accessibility to Internet and bank loan of firms, controlled for year fixed effects, were analyzed. It was shown that 74.6% companies in the agricultural sector were small in size (<10<200 employees). Although the number of large firms (>300 employees) explained 10.6%, they had a remarkable and positive TFP (38.8%, p < 0.01), while both small and very small (<10, and <200 employees, respectively) had strikingly negative TFP values (−71.3% and −32.1%, respectively, p < 0.01), as compared to the medium sizes (<200<300 employees). It was also revealed that although foreign ownership was only 3.8% on average, it had a notably positive effect on TFP (55.0%, p < 0.01). In contrast, state ownership accounted for 30.7%, but it had a negative influence on TFP (−7.5%). The export contributed a negligible and statistically significant effect to TFP (2.6%), which might be attributed to a limited number of firms (4.5%) having mobility in agricultural export. 73% received a bank loan, and only 18.2% had access to the Internet, but both of them yielded remarkable TFP values (18.5%, p < 0.01 and 3.4%, p < 0.05 respectively). The Hausman test indicated that the fixed effects (FE) model was more effective than the random effects (RE) model to estimate the TFP. The findings of this study suggested that reform efforts should focus on improving the productivity of small agricultural enterprises. In addition, foreign investment, effective use of bank loan and Internet accessibility should be further enhanced. The results of this study may provide insights for policymakers who aim to improve the productivity in agricultural enterprises and thereby contribute to the sustainable growth of the country.

scholarly journals Total factor productivity and technical efficiency among smallholder groundnut farmers in Northern Mozambique

2020 ◽  
Vol 15 (4) ◽  
pp. 289-301
Author(s):  
Jeremy Jelliffe ◽  
◽  
Boris Bravo-Ureta ◽  
Amade Muitia ◽  
Venâncio Salegua ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Fixed Effects ◽  
Food Systems ◽  
Efficiency Score ◽  
Productivity Index ◽  
Total Production ◽  
Factor Productivity ◽  
Stochastic Production Frontier ◽  
Using Data

This study examines the productivity of smallholder groundnut farmers in North-eastern Mozambique using data for 2016 from two provinces with high total production of said crop. The model used is a Cobb-Douglas True Fixed Effects stochastic production frontier, controlling for geographical heterogeneity, and standard errors clustered at the village level. Our analysis reveals a mean total factor productivity index and technical efficiency score of 0.34 and 0.68 respectively. Seeding rates are found to have major potential for increasing output. This work provides new information to support ongoing efforts to generate greater resilience and robustness in domestic food systems.

scholarly journals Empirical Research on the Influence of Export Market Diversification on Total Factor Productivity:Based on the Perspective of Trade Protection

2020 ◽  
Vol 4 (2) ◽  
pp. 106
Author(s):  
Li Shasha ◽  
Tian Shuo ◽  
Zou Songqi
Keyword(s):  
Total Factor Productivity ◽  
Fixed Effects ◽  
Empirical Test ◽  
Robustness Analysis ◽  
Spillover Effect ◽  
Least Square Method ◽  
Least Square ◽  
Export Market ◽  
Factor Productivity ◽  
The Impact

This paper mainly explores the impact of export market diversification as an important measure to deal with trade friction on firms total factor productivity. Firstly, this article focuses on the theoretical analysis of the impact mechanism, including risk diversification, reversal effect and spillover effect. Based on the sample data of Chinese manufacturing export enterprises from 2000 to 2007, this paper conducts an empirical test on the relationship between export market diversification and total factor productivity. The result indicates that export market diversification has a significant positive effect on the total factor productivity of enterprises. After considering the endogenous problem, by controlling the fixed effects, using the two-stage least square method and changing the duration of the sample for robustness analysis, the results are still consistent. In addition, the role of diversification policy in total factor productivity presents heterogeneous characteristics in terms of different types of enterprise ownership, export intensity, industry competition, trade methods, and the development degree of exporting market. Accordingly, this paper puts forward corresponding policy recommendations.

Dampak Kebijakan Moneter Pada Output Di Negara-Negara ASEAN Tahun 1980-2014

2017 ◽  
Vol 4 (1) ◽  
pp. 58-70
Author(s):  
Nur Widiastuti
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Fixed Effects ◽  
Empirical Studies ◽  
Negative Relationship ◽  
Least Square ◽  
Fixed Effects Model ◽  
State Data ◽  
Ordinary Least Square ◽  
The Impact

The Impact of monetary Policy on Ouput is an ambiguous. The results of previous empirical studies indicate that the impact can be a positive or negative relationship. The purpose of this study is to investigate the impact of monetary policy on Output more detail. The variables to estimatate monetery poicy are used state and board interest rate andrate. This research is conducted by Ordinary Least Square or Instrumental Variabel, method for 5 countries ASEAN. The state data are estimated for the period of 1980 – 2014. Based on the results, it can be concluded that the impact of monetary policy on Output shown are varied.Keyword: Monetary Policy, Output, Panel Data, Fixed Effects Model

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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