scholarly journals Measuring the Impact of Extreme Weather Phenomena on Total Factor Productivity of General Cropping Farms in East Anglia

2018 ◽  
Vol 3 (1) ◽  
pp. 1-22
Author(s):  
Yiorgos Gadanakis ◽  
Francisco Jose Areal
Keyword(s):  
Climate Change ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Efficiency Score ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Time Data ◽  
East Anglia ◽  
Business Survey ◽  
The Impact

One of the main challenges of climate change on agriculture in UK is how to adapt to the potential changes to the availability of water. Changes in rainfall distribution may potentially lead to an increase in drought frequency, magnitude and duration. In this research a Data Envelopment Analysis (DEA) and a Malmquist Index (MI) are combined with a double bootstrap methodology to measure changes in Total Factor Productivity of general cropping farms in East Anglia. More specifically, the DEA technique was used to measure the year by year efficiency score for the farms in the sample and the MI and its components used to derive information on productivity over time. Data for the input – output models was obtained from the Farm Business Survey. Climate change is taken into consideration by using data for water cost as a proxy indicator of water consumption per farm. Results reveal changes in total, technical and scale efficiency and provide information on how the 2011 drought affect the TFP of the farms in the sample.

scholarly journals MEASURING THE TECHNICAL EFFICIENCY AND THE RATE OF CHANGE IN THE TFP FOR FARMS RAIN-FED WHEAT IN THE REGION IN LIGHT OF DIFFERING SIZE AREA

2016 ◽  
Vol 47 (6) ◽  
Author(s):  
Rijib & Jbara
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Rate Of Change ◽  
Scale Efficiency ◽  
Total Production ◽  
Factor Productivity ◽  
Compound Fertilizer ◽  
The Subject ◽  
The Impact

This study deals with the subject of measuring the impact of variation of wheat planted area categories in the region rain-fed on the technical efficiency and the rate of change in( TFPch),The basic preliminary data was obtained from field resources by relying on a stratified random sample of wheat farmers in Sulaimaniyah region including 225 farms  production during 2013-2014 season , It has been measurement of technical and Scale  efficiency in light of change and stability of the total revenue according to the production function variables using (Area ,the amount of seeds ,compound fertilizer, urea fertilizer , pesticides , machinery work , manual work ) it turns out that the average technical efficiency for the first, second ,third ,forth ,and fifth class of the cultivated areas reached around( 82% , 76% ,70%, 53%,and 72 %) respectively recording a total average of 72% for the farms included in the studied sample . The numbers of farms achieving the optimum technical efficiency were (25, 3, 11, 21 and 15) for the five categories respectively.As far as the change in the total factor productivity (TFPch)in the farms subject to the study (using the Malmquist index of productivity) the result has indicated that the change in total production stood at an average of 1.39 , and the farms in which a positive change in the total factor productivity (TFPch) was 92 farms representing 41% of the total number of the farms included in the study , a negative (TFPch) was recorded in 83 farms representing 37% of the total number of the farms included in the study .

scholarly journals A Study on the Efficiency of Tourism Poverty Alleviation in Ethnic Regions Based on the Staged DEA Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianchun Yang ◽  
Ying Wu ◽  
Jialian Wang ◽  
Chengcheng Wan ◽  
Qian Wu
Keyword(s):  
Ethnic Minority ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Poverty Alleviation ◽  
Malmquist Index ◽  
Great Difficulty ◽  
Local Economy ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Two Stages

Poverty alleviation through tourism is an important way for China to achieve targeted poverty alleviation and win the battle of poverty alleviation. As a region with deep poverty and great difficulty in poverty alleviation, whether tourism development has injected key impetus into ethnic minority areas needs to be tested by both qualitative analysis and quantitative measurement. This paper takes eight ethnic provinces (regions) in China as an example to conduct an empirical study. Based on the Data Envelopment Analysis (DEA)-BCC model and Malmquist index, it evaluates the tourism investment and tourism poverty alleviation efficiency of the ethnic regions in the two stages of tourism poverty alleviation, and analyzes them by classification. The results of the study show: (1) The pure technical efficiency in the first stage is relatively high, but the total factor productivity of each region is declining; (2) The pure technical efficiency in the second stage is also relatively high, but the scale efficiency is low, and the change rate of total factor productivity of the provinces in China has increased significantly; (3) The “double high” type includes Guangxi, Inner Mongolia, and Guizhou, and the “double low” type includes Qinghai, Yunnan, Tibet, Xinjiang, and Ningxia. The results of the study generally show that tourism poverty alleviation has brought about the improvement of the living standards of residents and the development of local economy, but the efficiency of tourism poverty alleviation needs to be improved. On this basis, the article puts forward corresponding improvement measures, in order to further help the ethnic minority areas get rid of poverty in a comprehensive way by promoting the efficient and sustainable development of tourism.

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.

Total factor productivity of the non-life insurers in India: Malmquist index with a new decomposition

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashiq Mohd Ilyas ◽  
S. Rajasekaran
Keyword(s):  
Total Factor Productivity ◽  
Life Insurance ◽  
Economies Of Scale ◽  
Negative Impact ◽  
Malmquist Index ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Decomposition Approach ◽  
Content Type ◽  
Insurance Sector

PurposeThis paper aims to measure the change and the sources of change in total factor productivity (TFP) of the Indian non-life insurance sector over the period 2005–2016.Design/methodology/approachThis study employs the bootstrapped Malmquist index (MI) to assess the changes in the TFP and adopts a decomposition approach proposed by Balk and Zofío (2018). Moreover, it utilises truncated regression to identify the determinants of the TFP. In addition, it employs Wilcoxon-W test and t-test to scrutinise the difference between the state-owned and the private insurers in terms of variations in TFP and its various components.FindingsThe results divulge a miniature improvement in TFP of the insurance sector, which is primarily attributable to the improvement in scale efficiency (economies of scale). The results also reveal that there are no significant TFP differences across the ownership. However, private insurers have better scale efficiency and lower input-mix efficiency than state-owned insurers. In addition, the results unveil that size, diversification and reinsurance have a negative impact on the TFP, while age has a positive impact on it.Practical implicationsThe results may help the policymakers to frame new consolidation policies. Moreover, the findings may guide the decision-makers of the Indian non-life insurance companies to abate inefficiency and improve TFP.Originality/valueThis study estimates bias-corrected changes in TFP and efficiency in the non-life insurance sector. Moreover, it adopts an elaborated decomposition of the MI to identify the true sources of change in the TFP.

scholarly journals Influence of the Evolution of Marine Industry Structure on the Green Total Factor Productivity of Marine Economy

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1108
Author(s):  
Xinyi Wei ◽  
Qiuguang Hu ◽  
Weiteng Shen ◽  
Jintao Ma
Keyword(s):  
Total Factor Productivity ◽  
Industrial Structure ◽  
Government Intervention ◽  
Malmquist Index ◽  
Marine Ecology ◽  
Advanced Technology ◽  
Factor Productivity ◽  
Marine Economy ◽  
Low Efficiency ◽  
The Impact

The 14th five-year plan emphasizes the importance of marine ecology and environmental protection, and the green concept is incorporated into the high-quality development system of the marine economy. This research used the data of 11 coastal provinces and cities in China from 2006 to 2016, based on the super-efficiency slack-based measure model and global Malmquist index model. The objective was to calculate the green total factor productivity (GTFP) of the marine economy, to study the impact of the evolution of the marine industrial structure on marine economic GTFP. The study found the following: (1) in general, the upgrade of marine industrial structure promoted the growth of marine economic GTFP and presented an inverted “U” trend of initially promoting and then suppressing. Spatially, only the advancement and rationalization of industrial structure in the Yellow and Bohai Sea regions inhibited the growth of marine economic GTFP. In terms of time, the advanced marine industrial structure promoted the growth of GTFP from 2006 to 2010, whereas that of industrial structure inhibited the growth of GTFP from 2011 to 2016. (2) The GTFP of the marine economy showed an increasing trend, but the conversion rate of production technology is low. Falling into the “efficiency trap” of highly advanced technology input and low-efficiency technology output should be avoided. (3) Affected by the mismatch of regional resources or industrial structure, government intervention showed an “opposite” mechanism in areas with different marine economic strengths. Government intervention in areas with higher marine economic strength was conducive to GTFP growth, whereas government intervention in areas with weaker marine economic strength would hinder GTFP growth.

scholarly journals Research on the Impact of Chinese Total Factor Productivity on the Modern Economic System Based on the Spatial Dubin Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Qin Tang ◽  
Zhi-An Ren ◽  
Kang-Feng Zhu ◽  
Nai-Ru Xu
Keyword(s):  
Economic Development ◽  
Economic System ◽  
Total Factor Productivity ◽  
Index System ◽  
Malmquist Index ◽  
Factor Productivity ◽  
Index Method ◽  
Five Dimensions ◽  
Modern Economic ◽  
The Impact

Total factor productivity is not only the core of high-quality economic development but also a core indicator for measuring the quality of economic development. Improving total factor productivity is one of the most critical points in building a modern economic system. Firstly, this paper uses the DEA-Malmquist index method to measure and decompose the total factor productivity of China’s 30 provinces, municipalities, and autonomous regions from 2001 to 2017 and analyzes the characteristics of its temporal and spatial changes. From a spatial perspective, the regional gap is relatively large. Secondly, we construct the index system of five dimensions and use this index system to comprehensively evaluate the improvement degree of China’s modernized economic system. The results show that the overall level of the improvement degree of China’s modernized economic system is relatively low, and the differences between provinces are great. Thirdly, this paper uses static and dynamic spatial econometric models to empirically analyze the effect of total factor productivity on the improvement degree of the modern economic system. The results show that the improvement degree of the modern economic system in China has obvious characteristics of time spillover and space spillover. Finally, we put forward countermeasures and suggestions on how to perfect the modern economic system.

scholarly journals The impact of environmental regulation on green total factor productivity: An empirical analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259356
Author(s):  
Qin He ◽  
Yaowu Han ◽  
Lei Wang
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Empirical Analysis ◽  
Malmquist Index ◽  
Measurement Model ◽  
Western China ◽  
Measure Data ◽  
Factor Productivity ◽  
Extensive Growth ◽  
The Impact

The transformation of China’s economy from extensive growth to high-quality development is essentially an increase in green total factor productivity (GTFP). China currently has a range of environmental regulation tools, and the question of whether environmental regulation can promote improvement in China’s GTFP requires theoretical and empirical analysis. This article first divides environmental regulation into three types: administrative, market-based and information-based. It then builds an empirical model of the effect of environmental regulation on GTFP. Slacks based measure-data envelope analysis (SBM-DEA) and the Malmquist index are used to measure the GTFP of 30 provinces in China from 2005 to 2018, and a measurement model of the impact of environmental regulation on GTFP is established. The results show that: (1) there are significant differences in GTFP in eastern, central and western China; (2) there is a non-linear relationship between environmental regulations and GTFP.

scholarly journals The Impact of the Subsidy Policy on Total Factor Productivity: An Empirical Analysis of China's Cotton Production

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yanwen Tan ◽  
Jianbo Guan ◽  
Hamid Reza Karimi
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Policy Implications ◽  
Cotton Production ◽  
Factor Productivity ◽  
Subsidy Policy ◽  
Positive Study ◽  
Before And After ◽  
The Impact ◽  
The Relationship

This paper develops one model to explore the relationship between the subsidy policy and the agricultural total factor productivity (TFP). It indicates that the agricultural TFP will be lower after the subsidy policy is implemented and there exists a negative relation between the subsidy and TFP, if subsidies are associated with the acreage. Using Malmquist index, this paper measures the changes of TFP in China's cotton production before and after the subsidy policy is implemented. The results verify that the subsidy policy could not increase but decrease the TFP of China's cotton production, not only in the whole country but also in major provinces of China. Based on the positive study, some policy implications are provided in the end of this paper.

scholarly journals Measuring Total Factor Productivity of China Provincial Non-Life Insurance Market: A DEA-Malmquist Index Method

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Fangping Yu ◽  
Hang Chen ◽  
Jiaqi Luo ◽  
Haibo Kuang
Keyword(s):  
Total Factor Productivity ◽  
Life Insurance ◽  
Technological Progress ◽  
Insurance Industry ◽  
Malmquist Index ◽  
Insurance Market ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Index Method ◽  
Life Insurance Industry

The unbalanced economic development results in the difference in operating efficiency of the non-life insurance industry in China’s provinces; based on the DEA-Malmquist index method, this paper investigates the provincial differences, dynamic change characteristics, and causes of non-life insurance productivity in 31 provinces of China from 2004 to 2017. The results show that in the sample period, there are significant differences between provinces and regions in China’s non-life insurance efficiency, which generally shows the echelon spatial characteristics of “strong in the west and weak in the east”. Technological progress in the western region promotes the rapid growth of total factor productivity, while the low efficiency of technological progress in the eastern region restrains the improvement of total factor productivity. The overall total factor productivity of China’s provincial non-life insurance industry is on the rise, mainly due to the improvement of pure technical efficiency and scale efficiency, while technological progress has an inhibiting effect on the contrary. These conclusions are of reference value for relevant stakeholders in China’s provincial non-life insurance market to formulate development strategies and business strategies.

scholarly journals Is There any Improvement in Total Factor Productivity Growth of Indian Pharmaceutical Industry after TRIPS Agreement? : Evidence from Biennial Malmquist Index

2018 ◽  
Vol 2 (3) ◽  
pp. 53
Author(s):  
Dipyaman PAL ◽  
Chandrima CHAKRABORTY ◽  
Arpita GHOSE
Keyword(s):  
Pharmaceutical Industry ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Malmquist Index ◽  
Trips Agreement ◽  
Total Factor Productivity Growth ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Firm Level ◽  
Indian Pharmaceutical Industry

Aim: Indian Pharmaceutical Industry (IPI) has undergone a massive makeover–from a modest beginning of “process patents regime” in the seventies to a modern and WTO compatible regime under the Trade Related Intellectual Property Rights System (TRIPS) in 2005. This paper estimates Total Factor Productivity Growth (TFPG) of Indian Pharmaceutical Industry (IPI) using firm level data from 2000 to 2013. Design / Research methods: We have used nonparametric approach of Data Envelopment Analysis (DEA) using Biennial Malmquist Index. Conclusions / findings: The results of estimation suggest an increase in overall TFPG of IPI after TRIPS agreement and also those vertically integrated firms involved in both bulk drugs production and formulation activities are less productive compared to firms that are involved in production of only bulk drug or formulation activity. Originality / value of the article: This paper examines whether productivity of IPI has increased after 2005 i.e. after the period of TRIPS, by estimating TFPG for two sub-periods, i.e., from 2000 to 2005 and 2006 to 2013. Implications of the research: The decomposition of TFPG suggests that for overall period 2000-2013, scale changes are the most important factor causing the productivity changes and among the other two alternative sources of TFPG, efficiency change dominates over technical changes. For the sub-period 2006-2013, the improvement in the scale efficiency may push the firms to a higher TFPG, whereas for 2000-2005 the better utilization of factors of production is the main driver of TFPG. A second stage panel regression suggests that R&D expenditure, Marketing expenditure, Market size, Capital-Labour ratio, import intensity and export intensity have positive and significant influence on TFPG.

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