Impact of Land Fragmentation and Soil Fertility on Rice Producers' Technical Efficiency: An Empirical Study in Bangladesh

The study identified the factors that cause variation in the level of efficiency in potato production. The study used household level cross sectional data collected in 2015/16 from 196 sample farmers selected by multistage sampling technique. For the data collection, a personally administered structured questionnaire was used. In the analyses, descriptive statistics, a stochastic frontier model (SFM) and a two-limit Tobit regression model were employed. Tobit model revealed that technical efficiency was positively and significantly affected by education, land tenure status, extension service, credit and soil fertility whereas variables such as sex of household head, age of household head, farm size and land fragmentation affected it negatively. Therefore the study suggested the need for policies to discourage land fragmentation and promote education, extension visits, access to credit and soil fertility for improvement in technical efficiency.

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Impact of land fragmentation and soil fertility on Aus rice producers technical efficiency in Barisal district of Bangladesh

Journal of the Bangladesh Agricultural University ◽

10.3329/jbau.v14i1.30601 ◽

2016 ◽

Vol 14 (1) ◽

pp. 75-81

Author(s):

AKM Abdullah Al Amin ◽

M Saidur Rahman ◽

MI Hossain

Keyword(s):

Soil Fertility ◽

Technical Efficiency ◽

Positive Impact ◽

Average Distance ◽

Stochastic Frontier ◽

Sampling Procedure ◽

Policy Implications ◽

Land Fragmentation ◽

The Impact ◽

Fertile Land

This article determines the impact of land fragmentation and soil fertility on Aus rice producers technical efficiency (TE) of Barisal district in Bangladesh. A total of 60 farm households from two villages were selected using stratified random sampling procedure. Detailed input and output data for the Aus were collected in May 2015. Cobb-Douglas stochastic frontier model was used to address this TE. Results indicate that the mean TE was 0.61. Among the four land fragmentation indicators two were found to be statistically significant with anticipated signs. The positive effect of the number of plots on TE implies that variation effect exceeded the management effect and the average distance from plots to homestead indicating loss of time and inconvenience in farming management as well as inefficiencies in input use. The study also used two indicators of soil fertility (i.e., share of highly fertile land and share of not highly fertile land). Between these share of highly fertile land had positive impact on TE in rice productivity. Therefore, the study includes policy implications addressing the structural causes of land fragmentation and developing effective strategies to promote soil conservation.J. Bangladesh Agril. Univ. 14(1): 75-81, June 2016

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Effect of Subsidy Policy on Technical Efficiency: An Empirical Study of China's Urban Public Transportation

International Conference on Transportation Engineering 2007 ◽

10.1061/40932(246)501 ◽

2007 ◽

Author(s):

Weiwei Zhu ◽

Dingtao Zhao

Keyword(s):

Empirical Study ◽

Technical Efficiency ◽

Public Transportation ◽

Subsidy Policy

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Land Fragmentation, Technical Efficiency, and Adaptation to Climate Change by Farmers in the Gamo Highlands of Ethiopia

Sustainability ◽

10.3390/su122410304 ◽

2020 ◽

Vol 12 (24) ◽

pp. 10304

Author(s):

Tesfaye C. Cholo ◽

Jack Peerlings ◽

Luuk Fleskens

Keyword(s):

Climate Change ◽

Technical Efficiency ◽

Land Management ◽

Management Practices ◽

Stochastic Frontier ◽

Adaptation To Climate Change ◽

Cross Sectional ◽

Land Fragmentation ◽

Large Yield ◽

Yield Gaps

Although barley production is vulnerable to the impacts of climate change, households in the Gamo Highlands of Ethiopia rely on barley for their diet and allocate most of their highly-fragmented land to barley production. Moreover, farmers alter land management practices as a strategy to adjust to climate change and variability. However, to what extent land fragmentation and land management jointly influence the technical efficiency of barley production is unknown. In addition, it is unidentified whether technical efficiency is uniform across multiple separated plots. In this study, we adapted two stochastic frontier panel models on plot-level cross-sectional data to investigate this. The model results indicate that fragmentation influences the effect of land management practices on efficiency. The study found that efficiency was not uniform across different plots and for different farmers and showed the existence of large yield gaps. To close these gaps, policies designed to address the specific components of inefficiency need to be implemented.

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