scholarly journals The total factor productivity index of freshwater aquaculture in China: based on regional heterogeneity

2021 ◽  
Author(s):  
Shen Zhong ◽  
Aizhi Li ◽  
Jing Wu
Keyword(s):  
Sustainable Development ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Coastal Regions ◽  
Regional Heterogeneity ◽  
Fish Food ◽  
The Sustainable Development ◽  
Freshwater Aquaculture

Abstract Continuously improving freshwater aquaculture efficiency will help promote the sustainable development of freshwater aquaculture, which is crucial to ensure fish food supply. In particular, finding ways to improve the freshwater aquaculture efficiency, by measuring and analyzing the total factor productivity (TFP) of freshwater aquaculture, is of great significance to the sustainable development of freshwater aquaculture industry. Therefore, this paper constructs a meta-frontier Malmquist index (MMI) model by considering the regional heterogeneity to evaluate the TFP of freshwater aquaculture of China from 2004 to 2019. The results show that: (1) From 2004 to 2019, the TFP of freshwater aquaculture shows dynamic fluctuations and spatial differences. Compared with coastal regions, there are obvious advantages in TFP of freshwater aquaculture in inland regions. (2) The change of TFP in freshwater aquaculture is driven by the combined effect of technology change (TC) and technical efficiency change (EC). (3) The technology gap in freshwater aquaculture of coastal regions is tiny, while that of inland regions is large. This paper finally gives some policy suggestions to improve the TFP to ensure the sustainable development of freshwater aquaculture.

scholarly journals Total Factor Productivity Growth of Indian General Insurance Companies in the Recent Period: A Bootstrapped Approach

2019 ◽  
Vol 11 (1-2) ◽  
pp. 59-80
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Private Sector ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Malmquist Index ◽  
American Economic Review ◽  
Productivity Index ◽  
Insurance Companies ◽  
Productivity Change ◽  
Productivity Analysis ◽  
Factor Productivity

This study estimates Malmquist index of total factor productivity change of 14 major general insurers in India over the period 2009–10 to 2016–17 over 7 annual windows. The study decomposes total factor productivity index into its constituent components, using several approaches including Färe et al. (1989, Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach. Carbondale: Department of Economics, Southern Illinois University; 1992, Journal of Productivity Analysis 3(1): 85–101), Färe et al. (1994, American Economic Review 84(1): 66–83), Ray and Desli (1997, American Economic Review 87(5): 1033–39) and Wheelock and Wilson (1999, Journal of Money, Credit and Banking 31(2): 212–23). Furthermore, the study uses bootstrap data envelopment analysis (DEA) method to obtain bias-corrected point and interval estimates of Malmquist index and its components. Finally, the study makes a comparison of productivity performance between public and private sector insurers. The results indicate a modest growth in total factor productivity during the period contributed mainly by efficiency changes. The private sector insurers performed better than the public sector in terms of productivity growth. The variations in productivity performance indicate that insurer scale of activity can affect their performance. JEL Classification: G-23, C-61, D-21

scholarly journals Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation

2020 ◽  
Vol 12 (14) ◽  
pp. 5704
Author(s):  
Shuai Zhang ◽  
Xiaoman Zhao ◽  
Changwei Yuan ◽  
Xiu Wang
Keyword(s):  
Sustainable Development ◽  
Technological Change ◽  
Total Factor Productivity ◽  
Influencing Factors ◽  
Technological Progress ◽  
Transportation Industry ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Technological Bias

The bias of technological progress, particularly relating to energy saving and carbon emissions reduction, plays a significant role in the sustainable development of transportation, and has not yet received sufficient attention. The objectives of this paper were to examine the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC), and their influencing factors in the sustainable development of China’s regional transportation industry from 2005 to 2017. A slack-based measure (SBM) Malmquist productivity index was adopted to measure the BTC, IBTC, and OBTC by decomposing green total factor productivity. The results revealed that: (1) Continuous technological bias progress and input-biased technological progress existed in China’s transportation development from 2005 to 2017, making an important contribution to green total factor productivity. The output-biased technological change was close to 1, indicating a slight impact on the sustainable development of the transportation industry; (2) The bias of technological progress in eastern regions was slightly greater than that in central regions, and obviously greater than that in western regions. Moreover, different provinces experienced different types of technological bias change, with four major types observed during the research period; (3) The input-biased technology of a majority of provinces tended to invest more capital relative to labor, using more capital comparing to energy, and consume more energy relative to labor, while the output-biased technology of most provinces tended to produce desirable outputs (value added in transportation) and reduce the byproduct of CO2 relatively; (4) Average years of education, green patents in transportation, industrial scale, and local government fiscal expenditure in transportation significantly contributed to promoting the bias of technological progress, which was inhibited by the R&D investment. This study provides further insight into the improvement of sustainable development for China’s transportation, thereby helping to guide the government to promote green-biased technological progress and optimize the allocation of resources.

scholarly journals Cost Efficiency and Total Factor Productivity: An Empirical Analysis of Pakistan’s Insurance Sector

2016 ◽  
Vol 21 (1) ◽  
pp. 123-150
Author(s):  
Uzma Noreen ◽  
Shabbir Ahmad
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Innovative Technology ◽  
Average Score ◽  
Factor Productivity ◽  
Tobit Regression ◽  
Insurance Sector ◽  
The Impact

This study uses data envelopment analysis and the Malmquist index to examine the impact of financial sector reforms on the efficiency and productivity of Pakistan’s insurance sector over the period 2000–09. Our results indicate that the sector is cost-inefficient, with an average score of 58 percent – an outcome of the inappropriate use of inputs. The Malmquist productivity index performs better, indicating an improvement in total factor productivity of about 3 percent on average. The second-stage Tobit regression analysis shows that large firms are relatively inefficient from an allocative perspective as they are unable to equate the marginal product of inputs with their factor prices. Furthermore, the results demonstrate that private firms are more efficient than public firms in the nonlife insurance sector. The empirical findings suggest that a more competitive environment, diversified products and innovative technology could improve the productivity of insurance firms in Pakistan.

scholarly journals The Measurement and Influencing Factors of Total Factor Productivity in the Chinese Rural Distribution Industry

2021 ◽  
Vol 13 (15) ◽  
pp. 8581
Author(s):  
Chaoxun Ding ◽  
Ruidan Zhang
Keyword(s):  
Total Factor Productivity ◽  
Influencing Factors ◽  
Data Model ◽  
Industrial Structure ◽  
Positive Impact ◽  
Malmquist Index ◽  
Annual Growth Rate ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Urbanization Rate

Total factor productivity (TFP) is critical to the sustainable development of the rural distribution industry. Improvements in productivity of the rural distribution industry can promote the high-quality development of the Chinese distribution industry. Studying the characteristics and influencing factors of total factor productivity in regard to the rural distribution industry in China is significant for promoting the transformation and development of the rural distribution industry. This paper uses the DEA–Malmquist Index to measure the total factor productivity (TFP) of the Chinese rural distribution industry and its decomposition index, and uses a panel data model to empirically study its influencing factors. The results show that, from 2008 to 2018, the TFP of the Chinese rural distribution industry showed a trend of rising first and then fluctuating and declining, with an average annual growth rate of 2.93%; the fluctuation direction of the TFP of the rural distribution industry in the eastern and western regions of China is basically the same, which has had a reverse change relationship with the central and northeast regions for many years. The industrial structure, urbanization rate, rural informatization rate, and conditions of the transportation facilities have significant impacts on the TFP of the rural distribution industry, among which the informatization rate has the greatest positive impact.

scholarly journals Towards Sustainable Development: Measuring Environmental Total Factor Productivity in Egypt

2020 ◽  
Vol 9 (2) ◽  
pp. 55
Author(s):  
Iman Al-Ayouty ◽  
Hoda Hassaballa
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Policy Implications ◽  
Empirical Literature ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Development Goals ◽  
Energy Intensive Industries

Egypt’s heavy reliance on energy- and capital-intensive industries currently hinders its drive towards achieving sustainable development goals. This paper studies environmental total factor productivity (ETFP) for ten energy-intensive industries using the Malmquist index and data envelopment analysis (DEA) for the period 2002-2014. Through incorporating CO2 emissions by energy intensive industries, DEA helps identify both environmentally-efficient and inefficient industries. Findings indicate that: i) ETFP has remained almost unchanged for the 10 industries, with ‘technical progress’ improvement almost fully outweighed by an efficiency deterioration, ii) excluding the environmental component indeed yields overestimated total factor productivity (TFP). In its estimation of ETFP, the paper adds to exiting empirical literature since no similar estimation has been done for Egypt. Results may be relevant to other countries with similar industrial structures. Policy implications include the reliance on renewable sources of energy, bearing directly on the achievement of the seventh, ninth and twelfth SDG goals. Keywords: environmental total factor productivity; energy intensive industries; data envelopment analysis; Egypt

scholarly journals Research on grain production efficiency in China’s main grain producing areas from the perspective of financial support

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247610
Author(s):  
Dehua Zhang ◽  
Haiqing Wang ◽  
Sha Lou ◽  
Shen Zhong
Keyword(s):  
Total Factor Productivity ◽  
Financial Support ◽  
Production Efficiency ◽  
Regional Distribution ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Grain Production ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Index Model

Grain production is vital to the national economy and people’s livelihood, and improving grain production efficiency is of great significance to the sustainable development of China’s economy and society. From the perspective of financial support, using the DEA global Malmquist productivity index model and based on the data of 13 main grain producing areas in China from 2001 to 2017, this paper discusses the evolution characteristics and regional distribution differences of the total factor productivity index of grain production in China’s main grain producing areas. The results show that from 2001 to 2017, the total factor productivity index of grain production in China’s main grain producing areas showed an overall fluctuation trend of gradual decline, with an average annual decline of 7.3%. From the perspective of spatial analysis, the grain production efficiency in China’s main grain producing areas is characterized by uneven spatial development, which is generally manifested as the decreasing trend from the central region to the eastern and western regions. Meanwhile, it can be seen from the decomposition index that the change of total factor productivity of grain production in China’s main grain producing areas mainly depends on the change of technical efficiency.

scholarly journals EVALUATION OF FIRMS OF AGRICULTURE AND FOOD SECTORS QUOTED AT BORSA İSTANBUL (BİST) BY DEA-BASED MALMQUIST TOTAL FACTOR PRODUCTIVITY INDEX

2017 ◽  
Vol 16 (1) ◽  
pp. 73-82 ◽  
Author(s):  
Ali Öztop ◽  
Harun Uçak
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Efficient Frontier ◽  
Productivity Index ◽  
Productivity Change ◽  
Efficiency Frontier ◽  
Factor Productivity ◽  
Productivity Losses ◽  
Food And Agriculture ◽  
Agriculture And Food

This study applies a DEA-based Malmquist index to measure technical efficiency and total factor productivity change of food and agriculture firms quoted at Borsa İstanbul (BİST) over the 2010–2015 period. We have investigated efficiency scores of firms using financial ratios. The study shows that, average Malmquist index score is 16.9% below efficiency frontier. Also, four of the twenty-three firms’ (KRSAN, KENT, TUKAS and ULKER) Malmquist total factor productivity (MTFP) ratio above the efficient frontier. The results indicate that nineteen out of twenty-three firms (82.6%) experienced productivity losses in the examined period.

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