Haze pollution, new-type urbanization and regional total factor productivity growth: based on a panel dataset involving all 31 provinces within the territory of China

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruihan Zhang ◽  
Bing Sun ◽  
Mingyao Liu ◽  
Jian Hou
Keyword(s):  
Total Factor Productivity ◽  
Critical Mass ◽  
Estimation Method ◽  
Productivity Index ◽  
Factor Productivity ◽  
Content Type ◽  
Tfp Growth ◽  
Haze Pollution ◽  
New Type ◽  
Spatiotemporal Heterogeneity

Purpose This paper aims to analyze the spatiotemporal heterogeneity of regional total factor productivity (TFP) growth and explores how haze pollution and different levels of new-type urbanization affect China’s economic growth. Design/methodology/approach This paper constructs an index for evaluating the TFP growth of China’s 31 provinces by integrating slack-based measures and the Global Malmquist (GM) productivity index. Meanwhile, the panel threshold estimation method is used to examine the complex relationships among haze pollution, new-type urbanization and TFP growth. Findings The results reflect conspicuous spatiotemporal heterogeneity in TFP growth in China. Interestingly, the influence of haze pollution on TFP growth is limited by the “critical mass” of new-type urbanization in China. When new-type urbanization does not cross the first threshold, haze pollution has a negative but non-significant effect on TFP growth. When new-type urbanization crosses the first threshold but not the second, haze pollution has a significant positive impact on TFP growth. When new-type urbanization crosses the second threshold, haze pollution significantly and positively affects TFP growth with the strongest positive effect. Originality/value This study innovates by combining haze pollution and TFP growth and proposing an integrated framework from the perspective of new-type urbanization, providing insight into how different degrees of new-type urbanization impact the mechanism between haze pollution and TFP growth. Using panel data in China and emphasizing green development, a sustainable economy and new-type urbanization, this study contributes to the current studies on haze pollution and economic development based on developed countries.

Does foreign direct investment spillover total factor productivity growth? A study of Indian drugs and pharmaceutical industry

2017 ◽  
Vol 24 (7) ◽  
pp. 1937-1955 ◽  
Author(s):  
Nitin Arora ◽  
Preeti Lohani
Keyword(s):  
Foreign Direct Investment ◽  
Pharmaceutical Industry ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Spillover Effect ◽  
Foreign Firms ◽  
Factor Productivity ◽  
Content Type ◽  
Domestic Firms ◽  
Tfp Growth

Purpose Foreign firms have certain advantages which may spillover to domestic firms in the form of improvements in total factor productivity (TFP) growth. The purpose of this paper is to empirically observe the presence of TFP spillovers of foreign direct investment (FDI) to domestic firms through analyzing source of TFP growth in Indian drugs and pharmaceutical industry. Design/methodology/approach This paper examines the sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry over the period 1999 to 2014. The data of 304 firms has been used for estimation of the growth rates of TFP and its sources under stochastic frontier analyses based Malmquist productivity index framework. For frontier estimation, the Wang and Ho (2010) model has been executed using translog form of production function. Findings The results show that there exists significant TFP spillover effect from the presence of foreign equity in drugs and pharmaceutical industry of India. The results also show that the major source of TFP fluctuations in the said industry is managerial efficiency that has been significantly affected by FDI spillover variables. In sum, the phenomenon of significant Intra-industry (horizontal) efficiency led productivity spillovers of FDI found valid in case of Indian drugs and pharmaceutical industry. Research limitations/implications The number of foreign firms is very less to imitate the significant impact of foreign investment on TFP growth of Indian pharmaceutical industry at aggregated level; and the Wang and Ho (2010) model is failing to capture direct impact of FDI on technological change under Malmquist framework. Practical implications Since, there exists dominance of domestic firms in Indian drugs and pharmaceutical industry, the planners should follow the policy which not only attract FDI but also benefit domestic firms; for example, developing modern infrastructure and institution which will further help domestic firms to absorb spillovers provided by the Multinational Corporations and also accelerate the growth and development of the economy. Social implications In no case, the foreign firms should dominate the market share otherwise the efficiency spillover effect will be negative and the domestic firms will be destroyed under the self-centric approach of foreign firms protected by the recent patent laws. Originality/value The study is a unique attempt to discuss the production structure and sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry with such a wide coverage of 304 firms over a period of 16 years under Wang and Ho (2010) model’s framework. The existing studies on TFP spillovers are using either a small sample size of firms or based upon traditional techniques of measuring spillover effects.

Measurement and determinants of total factor productivity: evidence from Indian banking industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Biswabhusan Bhuyan ◽  
Subhamitra Patra ◽  
Ranjan Kumar Bhuian
Keyword(s):  
Total Factor Productivity ◽  
Economies Of Scale ◽  
Banking Sector ◽  
Value Added ◽  
Productivity Index ◽  
Annual Data ◽  
Fiscal Deficit ◽  
Factor Productivity ◽  
Content Type ◽  
Frontier Analysis

PurposeThe purpose of this study is to measure the level of total factor productivity of the Indian banking sector and to identify both the bank-specific and macroeconomic determinants of the total factor productivity after the global subprime mortgage crisis.Design/methodology/approachThe research sample consists of 61 commercial banks including 21 public sector banks, 18 private sector banks and 22 foreign banks. The annual data is collected from the website of Reserve Bank of India from 2008 to 2019. The authors employed the non-parametric DEA approach to estimate Malmquist total factor productivity index for each bank as well as across different ownership groups. The panel data estimation technique was used to identify the determinants of total factor productivity.FindingsThe results suggested that an increase in the technological shift raised the bank's productivity above the optimal frontier. Among the bank-specific determinants, the bank size and bank diversifications are significantly declining productivity, whereas credit-deposit ratio and return on asset significantly increasing productivity. Among the macro-specific determinants, inflation, growth rate and fiscal deficit ratio negatively affect productivity, whereas capital formation to the GVA ratio boosts the level of productivity.Research limitations/implicationsThe authors have used intermediate method to select the inputs and outputs as per the suitability to the context. However, the disaggregate level such as state and district level analysis can be done using production and value-added approaches to explore the regional variations of the banking performance. Furthermore, the parametric methods such as stochastic frontier analysis can be used to examine banking performance, which the authors left for the future research.Practical implicationsThis study suggested that banks should increase the economies of scale of their total assets and focus on the interest-earning activity. The banks need to proactively operate the business policy by following the changing path of inflation. The banks need to reduce their rate of fiscal-deficit to the GVA with the purpose to boost their level of productivity.Originality/valueThe study provides an important implication for bankers and policymakers in terms of heightening the banking performance during the period of dynamic economic events.

Estimation of Total Factor Productivity Growth (TFPG) of Major Cereal Crops in Rajasthan

2021 ◽  
Keyword(s):  
Growth Rate ◽  
Total Factor Productivity ◽  
Production Function ◽  
Output Growth ◽  
Productivity Index ◽  
Cereal Crops ◽  
Total Output ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Moderate Growth

Cereal crops provide essential nutrients and energy in the everyday human diet through direct human consumption and meat production since they comprise a major livestock feed. In the current study, the Tornqvist Theil Index was used to compute the total output index, total input index, and total factor productivity index. The Tornqvist Index is exact for the homogenous translog production function that can deliver a second-order approximation to an arbitrary twice differentiable homogenous production function. This study has indicated moderate TFP in wheat (1.45percent), and the contribution of TFP to output growth was high, about 87 percent for wheat in Rajasthan state. The annual compound growth rate of the TFP of barley increased at the rate of 1.65 percent per annum (moderate growth), and the contribution of TFP to output growth was average, at about 63.47. In comparison, the compound growth rate of TFP of annual maize crop increased at 1.80 percent per annum (moderate growth), while its TFP to output growth was about 73.09 percent. The annual compound growth rate of the TFP of bajra increased by 2.56 percent per year. The contribution of TFP to output growth was 61.29 percent for bajra in Rajasthan. The real cost of production of barley and maize increased by 0.88 and 1.59 percent, which decreased for wheat and bajra by -0.93 and -0.21 percent per annum, respectively. It was revealed that in the bajra crop, Rajasthan state showed good performance of TFP growth among the selected cereal crops. The technology, including agronomical practices, plant protection measures, and mechanization, helped to sustain TFP growth in the bajra crop.

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.

How do globalization indicators de jure–de facto and total factor productivity affect tourism development in European countries?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Panayiotis Tzeremes
Keyword(s):  
Total Factor Productivity ◽  
Generalized Method Of Moments ◽  
Tourism Development ◽  
European Countries ◽  
Productivity Index ◽  
Factor Productivity ◽  
Causality Test ◽  
Content Type ◽  
Vector Autoregressive ◽  
First Time

PurposeThis research analyzes, for the first time, the linkage among the gathered dataset of globalization indicators, the total factor productivity index and tourism development in a panel of 25 European countries during the 1995–2016 period.Design/methodology/approachThe Generalized Method of Moments estimator for panel Vector Autoregressive Regression model is implemented and as a robustness test, the panel Granger causality test is used.FindingsThe findings have divulged that globalization and total factor productivity increase tourism development. An increase in the economic globalization de factor indicator will cause an increase in tourism development in European countries. Moreover, an increase in the social globalization de jure indicator will lead to a higher level of tourism development in European countries.Practical implicationsPolicy-makers should use the complementary association between globalization and international tourism to promote productivity in European countries. These countries can also utilize the tourism sector as a tool to enhance the connectivity of their economies and societies with other parts of the world.Originality/valueWe use for the first time the globalization index as proposed by Gygli et al. (2019) in the tourism discipline. We evaluate the total factor productivity index instead of the economic growth applied by the majority of the researchers and we employ for the first time in the tourism field the GMM–PVAR framework.

Productivity Analysis of Coal-fired Thermal Power Plants in India Using Malmquist Index Approach

2019 ◽  
Vol 21 (6) ◽  
pp. 1338-1353
Author(s):  
Amritpal Singh Dhillon ◽  
Hardik Vachharajani
Keyword(s):  
Total Factor Productivity ◽  
Power Plants ◽  
Thermal Power ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Tfp Growth

The sustainable socio-economic growth of any country depends on the availability of adequate and reliable power at reasonable rates. This is even true in case of a rapidly developing country like India where coal-based power plants account for the majority of electricity generation. Making use of data envelopment analysis (DEA) and Malmquist productivity index (MPI), this study analyses the productivity change of coal-fired power plants during 2002–2012. Productivity change is further decomposed into technical efficiency change (EFFCH), technological change (TECHCH), scale efficiency change (SECH), pure technical change (PECH) and total factor productivity change (TFPCH). The study revealed that 0.70 per cent of average annual total factor productivity (TFP) growth was witnessed from 2002–2003 to 2011–2012 indicating overall progress. The contribution of TECHCH in TFP growth is positive, that is, 1.3 per cent per annum. It demonstrates that expansion of the efficient frontier. However, there was a decrease in technical EFFCH of −0.6 per cent per year, indicating the adverse sign of progress. Plants in the central sector achieved maximum growth of 4.6 per cent annually. A total of 54.05 per cent of plants have recorded negative TFP growth. Power plants between 500 and 999 MW achieved the highest operational performances in all indices except SECH.

Measuring total factor productivity change of microfinance institutions in India using Malmquist productivity index

2018 ◽  
Vol 12 (1) ◽  
pp. 105-130 ◽  
Author(s):  
Dilip Ambarkhane ◽  
Ardhendu Shekhar Singh ◽  
Bhama Venkataramani
Keyword(s):  
Total Factor Productivity ◽  
Financial Institutions ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Microfinance Institutions ◽  
Factor Productivity ◽  
Content Type ◽  
The Poor

PurposeMicrofinance institutions (MFIs) provide small loans and other financial services to the poor. These institutions are established for helping the poor to raise income levels and to reduce poverty. Recently, MFIs are required to reduce their dependence on grants and subsidies. Consequently, they face conflicting objectives of improving reach and profitability. These can be achieved by improving productivity. This paper aims to investigate productivity change in 21 major MFIs in India which are rated by Credit Rating and Information Services of India Limited in 2014.Design/methodology/approachThis paper attempts to examine total factor productivity change in 21 major Indian MFIs during the period from 2014 to 2016 using Malmquist productivity index. The inputs and outputs are selected considering objectives of outreach and financial sustainability. The authors have categorized MFIs in three categories, namely, large, medium and small, depending on asset size.FindingsIt is revealed that large MFIs are able to catch up with industry best practices by improving their systems and processes, but they need to improve scale efficiency. The Reserve Bank of India has recently initiated a policy of granting banking licenses to those financial institutions which have good outreach and are financially strong. It can be used for shortlisting MFIs before granting permission to operate as banks. The method can also be used for benchmarking them for productivity. It can also be replicated in other countries.Originality/valueIn India, MFIs are playing important role in economic development by providing microcredit to the poor. However, very few studies have been undertaken regarding productivity of MFIs in India. The present study intends to fill this gap. It will facilitate benchmarking of MFIs as competitive and sustainable financial institutions catering to the requirements of small borrowers.

Total Factor Productivity and Convergence of Port Logistics with Tianjin Port

2014 ◽  
Vol 998-999 ◽  
pp. 1653-1656
Author(s):  
Li Ping Wang ◽  
Meng Meng Yin ◽  
Bi Xi Dong
Keyword(s):  
Total Factor Productivity ◽  
Structural Changes ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Logistics Industry ◽  
Tfp Growth ◽  
Port Logistics ◽  
The Impact ◽  
Productivity And Competitiveness

Port logistics productivity reflects the productivity and competitiveness of a country or region port logistics industry. The research took Malmquist Productivity Index as a method, and explored the reasons of Tianjin Port Logistics TFP changes by analyzing the TFP growth trends and its structural changes during 2002 to 2011. The results showed that the overall productivity is growing, especially in the period 2009-2010 that is increased by 27.4%. However, changes of productivity had some volatility, primarily due to the impact of technological change.

Measurement of financial efficiency and productivity of Turkish Public Universities by using non-parametric methods

2019 ◽  
Vol 11 (4) ◽  
pp. 876-896
Author(s):  
Aslı Günay ◽  
Murat Ali Dulupçu
Keyword(s):  
Total Factor Productivity ◽  
Public Universities ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Financial Efficiency ◽  
Data Set ◽  
Content Type ◽  
Efficiency And Productivity

Purpose The purpose of this paper is to measure the financial efficiency and productivity of 23 public universities founded in 1992 in Turkey over the period between 2004 and 2013. The results obtained will provide managerial information and act as a guide to public universities’ administrations, in using their resources more effectively. Design/methodology/approach Data envelopment analysis is applied to assess the relative financial efficiency of these universities, while Malmquist total factor productivity index is used to measure the total factor productivity change concerning financial inputs of the universities. Findings The number of financially efficient universities and the number of universities showing an increase in their productivity according to their financial inputs change annually and both of them display a rough trend over the years. A decrease of about 5 percent in the financial productivity of the universities is observed which stems from a technological recession. Therefore, public universities in Turkey are not able to develop effective policies to diversify, increase and use their financial resources. Originality/value When the lack of studies within the literature measuring the financial efficiency of higher education institutions is taken into account, this study can fill a gap in this area. The analyses conducted here distinguish from existing studies on this subject with regards to the extent and diversity of financial data set and the measurement of both efficiency and productivity change of universities considering financial inputs concurrently.

Are the best African banks really the best? A Malmquist data envelopment analysis

2016 ◽  
Vol 24 (4) ◽  
pp. 588-610 ◽  
Author(s):  
Tesfatsion Sahlu Desta
Keyword(s):  
South Africa ◽  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Commercial Banks ◽  
Productivity Index ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Global Finance ◽  
Content Type ◽  
Efficiency And Productivity

Purpose This paper aims to examine whether the African commercial banks selected as the best African banks by Global Finance Magazine really are the best. Design/methodology/approach Panel data envelopment analysis (DEA) was used, as well as the Malmquist total factor productivity index, to distinguish productive banks from unproductive banks. Nineteen commercial banks were selected from the 30 best African banks as identified by the Global Finance Magazine. Findings Of the 19 banks, five were found to be unproductive. Bank productivity was attributed mainly to technological change, and different methods marked different results, for example, the regional winner bank (Standard Bank of South Africa) selected by Global Finance Magazine ranked ninth in this study, whereas the Bank Windhoek Limited, Namibia, ranked first. Practical implications The study confirms the applicability of DEA for the banking industry. The model shows variability among the banks’ efficiency and productivity and provides different results to the Global Finance Magazine’s best bank selection. For example, the Standard Bank of South Africa, which is selected as the regional winner, is now ranked ninth under the DEA Malmquist’s total factor productivity. Originality/value The study shows that the DEA model can be applied not only for analysing the firm’s efficiency but also for objective rating, ranking and selecting best banks.

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