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.

scholarly journals The Impact Of Good Corporate Governance To Manufacturing Firm’s Profitability And Firm’s Value

2016 ◽  
Vol 5 (2) ◽  
pp. 181-196 ◽  
Author(s):  
Johanes Sumarno ◽  
Sendy Widjaja ◽  
Subandriah Subandriah
Keyword(s):  
Corporate Governance ◽  
Fixed Effects ◽  
Negative Impact ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Fixed Effects Model ◽  
Good Corporate Governance ◽  
Oecd Principles ◽  
Equitable Treatment ◽  
The Impact

This paper studied the behavior of management toward the implementation of Good Corporate Governance in Indonesia to determine whether it has any influence towards profitability and its implication to the Manufacturing Firms’ value publicly listed in Indonesian Stock Exchange. There were 41 corporations who met the criteria of the survey. The data were analyzed using Panel Regression with fixed effects Model. The empirical findings show that the implementation of Corporate Governance in Indonesia has a positive, significant and direct impact toward firms’ profitability and firms’ value. Corporate Governance principles based on OECD principles that have positive and significant impact to both profitability and Firms’ Valueis Rights of Shareholders, Role of Stakeholders, Responsibilities of the Board Commissioners and Board of Directors. The principles that have significance and negative impact towards corporate profitability and value, are: Equitable treatment of shareholders and Disclosure and Transparencies. The most significant principle influencing profitability and firms’ value is Disclosure and Transparencies. Profitability plays a greater role in influencing Manufacturing Firms’ value in Indonesia. DOI: 10.15408/sjie.v5i2.3542

The Dynamic Correlation Between Capital Deepening and Total Factor Productivity in China

2020 ◽  
Vol 24 (4) ◽  
pp. 524-531
Author(s):  
Wuliu Zhang ◽  
Keyword(s):  
Human Capital ◽  
Total Factor Productivity ◽  
Negative Impact ◽  
Positive Impact ◽  
Linear Structure ◽  
Physical Capital ◽  
Influence Coefficient ◽  
Factor Productivity ◽  
Capital Deepening ◽  
The Impact

The impact of capital deepening on total factor productivity (TFP) is a significant and controversial issue. Based on the calculation of relevant indicators, this study adopts a Bayesian time-varying parameter model, Bayesian quantile regression, and adaptive Bayesian quantile models for in-depth statistical analysis. TFP was found to have a complex non-linear structure, and physical and human capital deepening indicators show a significant upward trend. The deepening of physical capital has a negative impact on TFP, while the deepening of human capital has a positive impact. In the capital deepening structure, the level of TFP has been improved and its structure optimized. Primary human and non-production physical capital deepening has no significant effect on TFP, while secondary human capital deepening has some significant effects on TFP. Tertiary and productive human capital deepening of TFP present two different forms of significant effect: the influence coefficient of the former declines in the increasing quantile and the change is larger, while the latter has a stable negative impact. The results of this study provide insights in terms of the improvement of China’s productivity.

scholarly journals The Impact of Air Pollution on the Development of Inbound Tourism in Chinese Megacities: The Case Study of Beijing, Guangzhou and Chongqing

2021 ◽  
Author(s):  
Nianlin Zhou ◽  
Yeli Gu ◽  
Manyuan Jiang
Keyword(s):  
Air Pollution ◽  
Carbon Emissions ◽  
Fixed Effects ◽  
Negative Influence ◽  
Fixed Effects Model ◽  
Fixed Investment ◽  
Inbound Tourism ◽  
New Business ◽  
Negative Effect ◽  
The Impact

The existing studies pay more attention to the impact of public transport and other public service facilities on urban air pollution and tourism, but less on the negative effect of air pollution caused by carbon emissions of business fixed investment on inbound tourism. This article attempts to make a supplementary analysis about the above point through examining the correlation between air pollution associate with business fixed investment and the size of inbound tourism based on panel data of three megacities (Beijing, Guangzhou and Chongqing) in China over the period from 2015 to 2019. The findings of this paper show that the effects of air pollution linked with carbon emissions from business fixed investment on the number of inbound tourists (NIT) is a negative correlation, while the influence of GDP per capita and tourism revenue on NIT reveal a positive relationship by applying fixed effects model for benchmark regression and the system-GMM estimator for robustness check. Moreover, the negative influence of PM 10 on sample cities is more than PM2.5. Some different results of core variables between benchmark and sub-sample regressions don’t imply the above conclusion to be substantively changed because of different distribution and concentration of nominal inbound tourists in specific sample megacities. In order to fundamentally improve air quality and to stimulate the development of inbound tourism, the suggestion of this study is to promote new business fixed investment with clean energy of renewable and low carbon.

scholarly journals The Consequences of Corruption on Economic Growth in Mediterranean Countries: Evidence from Panel Data Analysis

2018 ◽  
Author(s):  
Hicham Boussalham
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Suitable Model ◽  
Fixed Effects Model ◽  
Mediterranean Countries ◽  
Individual Effects ◽  
The Individual ◽  
The Impact

This study attempts to assess the impact of corruption on economic growth in the Mediterranean countries, during the period from 1998 to 2007. Econometric analysis using panel regression has been adopted to test this effect. Individual effects models such as random effects model and fixed effects model were applied to the study sample of 160 observations, and to choose the suitable model, we implemented several tests. For our analysis, we used a basic model that includes the dependent variable GDP per capita as a factor of economic growth and the corruption perception index as the independent variable concerned. Then we completed the model with several standardized macroeconomic control variables mentioned above and applied the individual effects models. The outcomes illustrate that corruption has a negative impact on the selected Mediterranean countries’ economic growth.

scholarly journals KONSENTRASI SPASIAL, AGLOMERASI DAN PRODUKTIVITAS PERUSAHAAN INDUSTRI MANUFAKTUR INDONESIA

2021 ◽  
Vol 4 (2) ◽  
pp. 146-156
Author(s):  
Kusuma Wardani (Universitas Indonesia) ◽  
Muhammad Halley Yudhistira (Universitas Indonesia)
Keyword(s):  
Total Factor Productivity ◽  
Negative Impact ◽  
Positive Impact ◽  
High Tech ◽  
Factor Productivity ◽  
Localization Economies ◽  
Instrument Variable ◽  
Urbanization Economies ◽  
The Impact ◽  
The Relationship

AbstractThis study aims to analyze the impact of agglomeration in the form of localization economies and urbanization economies on the productivity of manufacturing industrial companies in Indonesia. Unlike previous studies, this study will look at the effect of technology level on the relationship between productivity and agglomeration by classifying research samples into low-tech and high-tech industries. In addition, this study also improves the estimation technique by addressing the endogeneity problem that has the potential to arise in estimating the relationship between productivity and agglomeration to be overcome by using instrument variable (IV). The study was conducted in two stages of estimation using company-level panel data from 2010 to 2014. First, productivity was measured at the company level using Total Factor Productivity (TFP). Then, the company productivity is estimated together with the company and industry characteristic variables, including the agglomeration measurement variable which represents localization economies and urbanization economies. The regression results show a positive impact from localization economies and a negative impact from urbanization economies.AbstrakPenelitian ini bertujuan menganalisis dampak aglomerasi berupa localization economies dan urbanization economies terhadap produktivitas perusahaan industri manufaktur di Indonesia. Berbeda dengan penelitian terdahulu yang juga meneliti dampak aglomerasi industri terhadap produktivitas perusahaan, pada penelitian ini akan melihat pengaruh tingkat teknologi terhadap hubungan produktivitas dan aglomerasi dengan mengklasifikasikan sampel penelitian ke dalam industri berteknologi rendah dan industri berteknologi tinggi. Selain itu, peneltian ini juga memperbaiki teknik estimasi dari penelitian sebelumnya dengan menangani masalah endogenitas yang berpotensi muncul dalam mengestimasi hubungan produktivitas dan aglomerasi akan diatasi dengan penggunaan instrument variable (IV). Penelitian dilakukan dalam dua tahap estimasi dengan menggunakan data panel level perusahaan dari tahun 2010 sampai 2014. Pertama, produktivitas diukur pada level perusahaan dengan menggunakan Total Factor Productivity (TFP). Kemudian, produktivitas perusahaan diestimasi bersama variabel karakteristik perusahaan dan industri, termasuk variabel pengukuran aglomerasi yang mewakili localization economies dan urbanization economies. Hasil regresi menunjukkan adanya dampak positif dari localization economies dan dampak negatif dari urbanization economies.

scholarly journals An empirical analysis on the impact of non-performing loans on investment and economic growth and the role of political governance

2020 ◽  
Vol 8 ◽  
pp. 1-21
Author(s):  
Swapnanil SenGupta ◽  
Keyword(s):  
Fixed Effects ◽  
Negative Impact ◽  
Annual Data ◽  
Fixed Effects Model ◽  
Model Composite ◽  
Paradoxical Result ◽  
Governance Index ◽  
Political Governance ◽  
The Impact

Objective: To empirically analyze the link between nonperforming loans and investments along with the role of political governance. The estimation technique used is the fixed effects model including both the country and timMethods: e fixed effects. The dataset consists a panel of 103 countries with annual data over the period from 2000 to 2017. A unique composite political governance index has been prepared combining the six existing governance indicators via Principal Component Analysis (PCA). Findings: It is found that NPL has significant negative impact whereas, governance has significant positive impact on investments as per expectations. However, it is found that the negative impact of NPL on investment gets stronger in presence of good governance. This is a paradoxical result and further attempts has been made to rationalize the outcome. Applications: The study empirically proves the theory of negative impacts of NPL on investment in the economy. Furthermore, the role of political governance has been scrutinized. No prior works have been carried out on this topic. The paradoxical result in this study has opened up new areas for research. An extensive literature review has been provided along with a detailed discussion on the possible measures to tackle with the problems. JEL Classification: C3, E6, G0. Keywords: NPL; investment; political governance institutions; fixed effects model; composite political governance index

Trade Liberalisation and Industrial Productivity: Evidence from Manufacturing Industries in Pakistan

2017 ◽  
Vol 56 (4) ◽  
pp. 319-348
Author(s):  
Gulzar Ahmed ◽  
Muhammad Arshad Khan ◽  
Tahir Mahmood ◽  
Muhammad Afzal
Keyword(s):  
Total Factor Productivity ◽  
Negative Impact ◽  
Raw Materials ◽  
Manufacturing Sector ◽  
Industrial Sector ◽  
Manufacturing Industries ◽  
Trade Liberalisation ◽  
Factor Productivity ◽  
Industrial Productivity ◽  
The Impact

This study examines the impact of trade liberalisation on the industrial productivity for a panel of twenty seven 3-digit manufacturing industries in Pakistan over the period 1980-2006. Using a variant of the Cobb-Douglas production function for industrial sector, we estimated output elasticities. The results show positive output elasticities with respect to labour, capital and raw materials for the pre-trade liberalisation period (1981 –1995) as well as post-trade liberalisation period (1996-2006). For the pre-liberalisation period, we observe positive output elasticity with respect to energy, while it turns out to be negative in the post-liberalisation period probably due to energy crisis in Pakistan. In the second stage, we calculate total factor productivity (TFP) and examine the impact of trade liberalisation on TFP for pre-and post-trade liberalisation periods. The results reveal that trade liberalisation proxied by import duty has positive but negligible impact on the TFP in the pre-as well as post-liberalisation periods. On the other hand, effective rates of protection exert large negative impact on the TFP in the post-liberalisation than the pre-liberalisation period. JEL Classifications: F14, F13, O53, L60 Keywords: Trade Liberalisation, Total Factor Productivity, Manufacturing Sector of Pakistan

scholarly journals Low Interest Rates and Bank Risk-Taking: Has the Crisis Changed Anything? Evidence from the Eurozone

2015 ◽  
Vol 8 (1) ◽  
pp. 125-148 ◽  
Author(s):  
Alin Marius Andries ◽  
Vasile Cocriş ◽  
Ioana Pleşcău
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
Risk Taking ◽  
Fixed Effects ◽  
Negative Impact ◽  
Generalized Method Of Moments ◽  
Bank Risk ◽  
Fixed Effects Model ◽  
Loan Loss ◽  
The Impact

AbstractThis paper examines the impact of monetary policy on bank risk-taking and the influence of the recent financial crisis on this relation. We use a dataset of 571 commercial banks from Eurozone and analyze the relation on the period from 1999 to 2011, with emphasize on the period 2008 to 2011. We use non-performing loans, loan loss provisions and Z-score as measures for bank risk-taking, while for monetary policy the proxies are short-term interest rates (computed using a Taylor rule) and long-term interest rates. We determine the relation between the two by taking into account some specific control variables and analyze it using an entity fixed-effects model and Generalized Method of Moments, alternatively. Empirical results point to a negative relation between interest rates and bank risk-taking. In addition to this, results show that the crisis has led to an additional negative impact on the relation between interest rates and bank risk-taking for the turmoil period 2008-2011.

Sign in / Sign up

Export Citation Format

Share Document