Dynamic and static analysis of agricultural productivity in China

2018 ◽  
Vol 10 (2) ◽  
pp. 293-312 ◽  
Author(s):  
Panpan Diao ◽  
Zhonggen Zhang ◽  
Zhenyong Jin
Keyword(s):  
Agricultural Production ◽  
Agricultural Productivity ◽  
Policy Implications ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Western Region ◽  
Content Type ◽  
Tfp Growth ◽  
The Western Region

Purpose The purpose of this paper is to analyze agricultural total factor productivity (TFP) and input redundancies in different regions of China, and to bring out the policy implications for improving efficiency in agricultural production as well as environment protection. Design/methodology/approach Based on the provincial panel data during 1995-2014, the agricultural productivity of China and its regional disparity are analyzed. First, the agricultural TFP and its decomposition are dynamically evaluated by means of data envelopment analysis-Malmquist productivity index. Second, the agricultural radial production efficiency in year 2014 and the input redundancy changes from 1995 to 2014 are measured based on the BCC-slacks-based measure model. Findings The results showed that the overall agricultural TFP of China grew 4.3 percent annually during 1995-2014, mainly as a result of technical progress. However, the declines of technical efficiency and scale efficiency slowed down the agricultural TFP growth. The TFP growth in the Western region and Central region far exceeded the Eastern region in last few years. In 2014, most effective decision-making units were in the Western region. The input redundancies in the agricultural production increased substantially after 2006, especially for the pesticide use amount, reservoir capacity and agricultural machinery power. Originality/value Combining the dynamic and static analyses, the paper fulfilled the study of China’s agricultural productivity and the input redundancies in recent years, and also presented the regional disparities.

Efficiency and productivity performance of zakat funds in Algeria

2018 ◽  
Vol 11 (3) ◽  
pp. 474-494 ◽  
Author(s):  
Chams-Eddine Djaghballou ◽  
Mohamed Djaghballou ◽  
Mousa Larbani ◽  
Azhar Mohamad
Keyword(s):  
Design Methodology ◽  
Operating Performance ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Change ◽  
Output Data ◽  
Content Type ◽  
Efficiency And Productivity

Purpose The purpose of this study is to examine the efficiency and productivity performance of zakat funds managed by Directorates of Religious Affairs and Endowments (DRAE) in Algeria. Design/methodology/approach In this study, the authors employ data envelopment analysis and measure Malmquist Productivity Index for DRAE’s input and output data spanning from 2003 to 2013. Findings The authors find that total factor productivity has increased sharply for all zakat funds, mainly due to a technical rather than efficiency change. Further decomposition of the efficiency change into its pure technical and scale efficiency components suggests that the pure efficiency is a more important source of efficiency change than the scale efficiency component, meaning that zakat funds rely on technical aspects to gain efficiency. Originality/value The findings of this study are expected to contribute considerably to the existing knowledge on the operating performance of zakat funds in Algeria.

Measuring the productivity evolution of Chinese regional thermal power industries using global Malmquist-Luenberger productivity index

2018 ◽  
Vol 12 (2) ◽  
pp. 221-243
Author(s):  
Yao-yao Song ◽  
Hui-hui Liu ◽  
Xiao-xiao Liu ◽  
Guo-liang Yang
Keyword(s):  
Local Economic Development ◽  
Thermal Power ◽  
Policy Implications ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Chinese Government ◽  
Data Envelopment ◽  
Content Type ◽  
Close Relationship ◽  
Highly Correlated

Purpose This paper aims to measure Chinese regional thermal industries’ evolution. Design/methodology/approach This paper uses data envelopment analysis (DEA) and global Malmquist–Luenberger productivity (GMLP) index. Findings The results reveal that the development of Chinese thermal power industry varies significantly in different regions, and it is highly correlated with the level of local economic development. Although the change of technical efficiency and scale efficiency had different impacts on different regions from year to year, the overall GMLP index change shows a close relationship with the contemporaneous frontier shift. Practical implications The results indicate that the Chinese Government should make efforts to promote its policy implementations and regulations in thermal industries so that the contemporaneous frontier will shift toward the global technology frontier with more desirable outputs and less undesirable outputs. Originality/value As an application, this study uses DEA and GMLP index to measure the productivity of Chinese thermal industries in 30 Chinese provinces from 2006 to 2013. The results have the meaningful policy implications for decision makers in charge of Chinese thermal industries.

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.

Lean manufacturing and productivity changes: the moderating role of R&D

2019 ◽  
Vol 69 (1) ◽  
pp. 169-191 ◽  
Author(s):  
Yingjie Shi ◽  
Xinyu Wang ◽  
Xuechang Zhu
Keyword(s):  
Lean Manufacturing ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Moderating Effects ◽  
Negative Effects ◽  
Content Type ◽  
Listed Firms ◽  
The Relationship

Purpose The purpose of this paper is to empirically investigate the effect of lean manufacturing on productivity changes and to identify the root sources of productivity changes. Furthermore, the authors explore the moderating effects of research and development (R&D) to examine the relationship between lean manufacturing and productivity changes. Design/methodology/approach This paper employs the propensity score matching (PSM) model combined with the difference-in-difference (DID) estimation to overcome the selectivity bias. The Malmquist productivity index is used to capture productivity changes. By analyzing 671 Chinese manufacturing listed firms from 2009 to 2014, the moderating effects of R&D on the relationship between lean manufacturing and productivity changes are measured. Findings The results reveal that lean manufacturing implementation has non-significant effects on productivity changes in principle, while a detailed analysis indicates that lean manufacturing could improve scale efficiency significantly. While engaged in R&D could significantly improve the efficiency of technological changes for lean manufacturing implementation firms, there exist negative effects on pure technical efficiency. Research limitations/implications This research only covers manufacturing listed firms in China. Further studies should extend the generalizability of the findings. Practical implications This study helps managers to identify the important role of R&D on the relationship between lean manufacturing and productivity changes and provides insights into how to improve the lean manufacturing performance. Originality/value This paper appears to be one of the earliest studies on the relationship between lean manufacturing and productivity changes by applying the PSM combined with DID estimation in Chinese manufacturing environment.

Are exporting firms more productive in the Indian textile industry?

2015 ◽  
Vol 19 (4) ◽  
pp. 72-84 ◽  
Author(s):  
Dhwani Gambhir ◽  
Seema Sharma
Keyword(s):  
Textile Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Resource Utilisation ◽  
Scale Efficiency ◽  
Reference Database ◽  
Productivity Change ◽  
Content Type ◽  
Exporting Firms ◽  
Textile Manufacturing

Purpose – This paper aims to study whether exporting enterprises are more productive in export-intensive industries. It also aims to identify the action area and policy direction for enhancing productivity in Indian textile manufacturing. Global integration has increased the volume of international trade. It is crucial for countries to have competitive enterprises to capture a larger share of the global economy. Improvement in productivity performance not only enhances competitiveness but also promotes growth in an economy. Design/methodology/approach – A productivity analysis for the Indian textile manufacturing industry using firm-level panel data is conducted. The data are collected for 160 firms relevant to the period from 2007-2008 to 2012-2013 from Ace Equity database. Using the technique of data envelopment analysis, the output oriented Malmquist productivity index is computed and the sources of productivity change are identified. Also, a comparison between the productivity performance of the exporting and non-exporting firms has been made. Findings – The results suggest that exporting firms are exhibiting better productivity performance and resource utilisation during the study period. Technology change and scale efficiency seem to be the major sources of productivity gain for exporting firms. Research limitations/implications – The research is limited to a single industry, reference database and methodology. There is scope for further in-depth, micro-level research to analyze the differences in drivers of productivity for exporting and non-exporting firms. Originality/value – This paper provides validation to export promotional policies in the Indian textile industry by establishing better productivity performance of exporting firms. It also provides direction for managerial action by identifying efficiency component as the factor pulling down productivity.

Efficiency of Qatari banking industry: an empirical investigation

2017 ◽  
Vol 35 (2) ◽  
pp. 298-318 ◽  
Author(s):  
Abdul-Hamid Abdul-Wahab ◽  
Razali Haron
Keyword(s):  
Technical Efficiency ◽  
Technological Innovation ◽  
Banking Sector ◽  
Foreign Banks ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Published Data ◽  
Islamic Banks ◽  
Content Type

Purpose The purpose of this paper is to examine the efficiency of the banking sector in Qatar. The paper utilizes 15 banks comprising Islamic, conventional and foreign banks for the duration of 2007 to 2011. Design/methodology/approach Data envelopment analysis (DEA) technique is applied to compute technical efficiency, pure technical efficiency and scale efficiency. Also, Malmquist productivity index (MPI) is used to identify the sources of productive efficiencies of the banks. Findings The results suggest that Qatari banks are operating below optimum performance and thus there is still room for improvement. While conventional banks are the most efficient in Qatar in terms of technical and pure technical efficiencies, Islamic banks are most efficient in terms of scale efficiency. Besides, pure technical inefficiency dominated scale inefficiency in the Qatari banking sector. Moreover, as compared to the Islamic banks, conventional and foreign banks recorded a reduction in average technical efficiency during the duration of the 2008/2009 global financial crisis. In terms of productivity progress, all the Qatari banks were experiencing a decline in productivity mainly attributed to less technological innovation in the banking sector of Qatar. Research limitations/implications Most of the banks in Qatar do not have published data before 2007 and after 2011. Practical implications There is less technological innovation in the banking sector of Qatar. Hence, bank managers in Qatar should focus on educating customers about modern banking technologies and other innovative banking services in Qatar. Originality/value This study is a pioneering effort in the application of DEA and MPI to study about the banking sector in Qatar.

scholarly journals Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries

2021 ◽  
Vol 13 (13) ◽  
pp. 7401
Author(s):  
Sedef E. Kara ◽  
Mustapha D. Ibrahim ◽  
Sahand Daneshvar
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Wind Energy ◽  
Oecd Countries ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Analysis ◽  
Average Efficiency ◽  
Efficiency And Productivity

This paper examines the dual efficiency of bioenergy, renewable hydro energy, solar energy, wind energy, and geothermal energy for selected OECD countries through an integrated model with energy, economic, environmental, and social dimensions. Two questions are explored: Which renewable energy alternative is more dual efficient and productive? Which renewable energy alternative is best for a particular country? Data envelopment analysis (DEA) is used for the efficiency evaluation, and the global Malmquist productivity index is applied for productivity analysis. Results indicate bioenergy as the most efficient renewable energy alternative with a 20% increase in average efficiency in 2016 compared to 2012. Renewable hydro energy, wind energy, and solar energy show a 17.5%, 16%, and 11% increase, respectively. The average efficiency growth across all renewable energy alternatives signifies major advancement. Country performance in renewable energy is non-monolithic; therefore, they should customize their renewable energy portfolio accordingly to their strengths to enhance renewable energy efficiency. Renewable hydro appears to have the most positive productivity change in 2016 compared to 2012, while solar energy regressed in productivity due to its scale inefficiency. All renewable energy alternatives have relatively equal average pure efficiency change. The positive trend in efficiency and productivity provides an incentive for policy makers to pursue further development of renewable energy technologies with a focus on improving scale efficiency.

Economic slowdown, NPA crisis and productivity behavior of Indian banks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anju Goswami ◽  
Rachita Gulati
Keyword(s):  
Production Process ◽  
Global Financial Crisis ◽  
Banking Industry ◽  
Economic Stress ◽  
Productivity Index ◽  
Undesirable Output ◽  
Content Type ◽  
Tfp Growth ◽  
Robust Estimates ◽  
Indian Banks

PurposeThis paper aims to investigate the productivity behavior of Indian banks in the presence of non-performing assets (NPAs) over the period 1999 to 2017. The study examines whether Indian banks withstand the shocks of the global financial crisis (GFC) of 2007–2009 and sustain their total factor productivity (TFP) levels in the post-crisis economic turbulent period or not.Design/methodology/approachThe robust estimates of TFP and its components: efficiency change and technical change are obtained using the state-of-the-art and innovative sequential Malmquist-Luenberger productivity index (SMLPI) approach. The key advantages of this approach are that it explicitly allows the joint production of undesirable output (NPAs in our case) along with desirable inputs and outputs in the production process and precludes the possibility of spurious technical regress.FindingsThe empirical results of the study reveal that the Indian banking system has experienced a (−1) percent TFP regress, contributed solely by efficiency loss during the period under investigation. The GFC has slowed down the growth trajectory of TFP growth in the Indian banking industry. Among ownership groups, the effect of the GFC was pronounced on the public sector banks.Practical implicationsThe practical implication drawn from the study is that the Indian banks have not been able to successfully transmit the use of installed technology in a way to generate early warning signals and mitigate the risk of defaults so as to maximize their productivity gains in the banking industry.Originality/valueThis study is perhaps the first one to understand the productivity dynamics of the Indian banks in response to both endogenous (i.e. NPA crisis) and exogenous (i.e. global financial and economic stress) crises. Moreover, the authors obtain the robust estimates of TFP growth of Indian banks by explicitly accounting for NPAs as an undesirable output and equity as a quasi-fixed input in the bank production process.

Productivity growth, catching-up and technology innovation in microfinance institutions in India: evidence using a bootstrap Malmquist Index approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asif Khan ◽  
Rachita Gulati
Keyword(s):  
Productivity Growth ◽  
Productivity Index ◽  
Productivity Change ◽  
Microfinance Institutions ◽  
Truncated Regression ◽  
Content Type ◽  
Tfp Growth ◽  
Catching Up ◽  
Double Bootstrap ◽  
Size Groups

PurposeThis paper aims to examine the total factor productivity (TFP) change and its components: efficiency change and technical change in microfinance institutions (MFIs) in India operating from 2005 to 2018. The study also scrutinizes the variations in productivity levels across the distinct organizational form and size groups of MFIs. In addition to this, the authors identify the contextual factors that determine TFP growth, catching-up and technology innovation in MFIs.Design/methodology/approachThe study employs a smooth homogeneous bootstrap estimation procedure of Simar and Wilson (1999) for obtaining reliable estimates of Malmquist indices –productivity and its components – in a data envelopment analysis (DEA) framework for individual MFIs. In order to identify the determinants of productivity change and its components, the study follows Simar and Wilson's (2007) guidelines and applies a bootstrap truncated regression model. The double bootstrap procedure performs well, both in terms of allowing correct estimation of bias and deriving statistically consistent productivity estimates in the first and root mean square errors in the second stage of the analysis.FindingsThe empirical results reveal that the MFIs have shown average productivity growth of 6.70% during the entire study period. The observed productivity gains are primarily contributed by a larger efficiency increase at the rate of 4.80%, while technical progress occurs at 2.3%. Nonbanking financial companies (NBFC)-MFIs outperformed non-NBFC-MFIs. Small MFIs show the highest TFP growth in terms of size groups, followed by the large MFIs and medium MFIs. The bootstrap truncated regression results suggest that the credit portfolio, size and age of MFIs matter in achieving higher productivity levels.Practical implicationsThe practical implication drawn from the study is that the Indian MFI industry might adopt the latest technology and innovations in the products, risk assessment and credit delivery to improve their productivity levels. The industry must focus on enhancing the managerial skill of its employees to achieve a high productivity level.Originality/valueThis study is perhaps the initial attempt to explain the productivity behavior of MFIs in India by deploying a statistically robust double bootstrap procedure in the DEA-based Malmquist Productivity Index (MPI) framework. The authors estimate the bias-adjusted productivity index and its decompositions, which represent more reliable and statistically consistent estimates. For contextual factors responsible for driving productivity change, the study deploys a bootstrap truncated regression approach.

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