Do credit constraints affect the technical efficiency of Boro rice growers? Evidence from the District Pabna in Bangladesh

Rabbany, Ghulam; Mehmood, Yasir; Hoque, Fazlul; Sarker, Tanwne; Hossain, Kh Zulfikar; Khan, Arshad Ahmad; Hossain, MZ; Roy, Rana; Luo, Juhua

doi:10.1007/s11356-021-15458-1

Cited by 15 publications

(13 citation statements)

References 71 publications

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“…Most studies estimate technical efficiency using SFA, however, some studies estimate economic, technical, and allocative efficiencies in the agriculture sector of Bangladesh using DEA and SFA [17][18][19][20]. There are several studies on the comparison between DEA and SFA for different crops in different countries [9,[21][22][23][24][25][26][27][28][29][30]. To the best of our knowledge, in the context of Bangladesh, there is a gap in research on potato farming efficiency using both SFA and DEA.…”

Section: Introductionmentioning

confidence: 99%

Estimating the potato farming efficiency: A comparative study between stochastic frontier analysis and data envelopment analysis

Sultana

Haque

2023

PLoS ONE

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Background The government of Bangladesh has been trying to encourage potato consumption to reduce pressure on rice consumption and earn foreign currency along with ensuring zero hunger that helps to achieve the Sustainable Development Goal. It is necessary to use farmers’ resources and current technology more efficiently to meet the demand. Therefore, the authors aimed to evaluate the farm-level efficiency of potato farming in Bangladesh. Methods and materials The Cobb-Douglas Stochastic Frontier Analysis (SFA) and the input-oriented Data Envelopment Analysis (DEA) methods are used to compute farm-level technical, allocative, and economic efficiencies and inefficiency of potato farming. The primary data were collected through interviews of 300 potato farmers from Munshigonj, Rangpur, Dinajpur, and Joypurhat districts of Bangladesh. Results The findings revealed that the efficiency score of the SFA model is higher than the DEA model, which implies that the SFA frontier fits better than the DEA frontier. In the case of DEA, variable returns to scale (VRS) technical efficiency (TE) enveloped data more closely than constant returns to scale (CRS) TE. Results of efficiency suggest significant economic, technical, and allocative inefficiencies in potato farming and there is a scope to increase potato production levels through efficiency improvement. Inefficiency analysis shows that infrastructure and socio-economic factors jointly influence potato production variability. Conclusions The authors suggest for using the SFA to find efficiencies in the agriculture sector. To achieve efficiency in potato production, the government needs to pay attention for improving the allocative and economic efficiencies along with emphasizing to choose the appropriate technology and efficient use of resources for the scale of operation.

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Section: Introductionmentioning

confidence: 99%

Estimating the potato farming efficiency: A comparative study between stochastic frontier analysis and data envelopment analysis

Sultana

Haque

2023

PLoS ONE

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“…The rice culture occupies 75% of all agricultural land in the country and employs 48% of the nation’s farm laborers. It contributes 70% of the agricultural gross domestic product (GDP), while its proportion of national revenue is 1/6 [ 4 ]. Roughly 11 million hectares are dedicated to rice farming, a number that has remained almost unchanged for more than the last three decades and which produces approximately 3.4 crore tons [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…It contributes 70% of the agricultural gross domestic product (GDP), while its proportion of national revenue is 1/6 [ 4 ]. Roughly 11 million hectares are dedicated to rice farming, a number that has remained almost unchanged for more than the last three decades and which produces approximately 3.4 crore tons [ 4 ]. Rice is still the dominant source of energy, fiber, minerals, and protein in the Asian diet.…”

Section: Introductionmentioning

confidence: 99%

Genetic Variability, Character Association, and Path Coefficient Analysis in Transplant Aman Rice Genotypes

Faysal

Ali

Azam

et al. 2022

Plants

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A field experiment was carried out with 20 genotypes of Transplant Aman (T. Aman) rice at the Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur-1706, Bangladesh. The study was performed to evaluate the genetic deviation, trait association, and path coefficient (PC) based on grain yield (GY) and different yield-contributing agronomic characters. Variance analysis displayed extensive traits-wise variations across accessions, indicating variability and the opportunity for genetic selection for desirable traits. The high mean, range, and genotypic variances observed for most of the characters indicated a wide range of variation for these traits. All the characters indicated the minimum influence of environment on the expression of the trait and genetic factors had a significant role in the expressivity of these characters. High heritability in broad sense (h2b) and high to moderate genetic advance in percent of the mean (GAPM) were recorded for all the characters except for panicle length (PL). Based on mean, range, and all genetic parameters, the selection of all the traits except for PL would contribute to the development of T. Aman rice genotypes. A correlation study revealed that selection based on plant height (PH), number of effective tillers per hill (NET), PL, number of filled spikelets per panicle (NFS), flag leaf length (FLL), spikelet sterility (SS) percentage, and harvest index (HI) would be effective for increasing the GY of rice. Genotypic correction with grain yield (GCGY), PC and principal component analysis (PCA) revealed that direct selection of NFS, HI, SS%, and FLL would be effective for improving the GY of rice in future breeding programs.

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“…Improving production efficiency empowers farmers to elevate their output without additional inputs or alterations to production technologies, ultimately leading to increased productivity [ 3 ]. The variations in the smallholder farmers' agriculture productivity might arise from variations in efficiency, which might be influenced by different socioeconomic, institutional, and climate-related factors [ [4] , [5] , [6] ].…”

Section: Introductionmentioning

confidence: 99%

Technical efficiency of teff farms in Ethiopia: Do neighborhood effects matter? A copula stochastic frontier and spatial Durbin regression

Fikadu,

Gebre

2024

Heliyon

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Do credit constraints affect the technical efficiency of Boro rice growers? Evidence from the District Pabna in Bangladesh

Cited by 15 publications

References 71 publications

Estimating the potato farming efficiency: A comparative study between stochastic frontier analysis and data envelopment analysis

Estimating the potato farming efficiency: A comparative study between stochastic frontier analysis and data envelopment analysis

Genetic Variability, Character Association, and Path Coefficient Analysis in Transplant Aman Rice Genotypes

Technical efficiency of teff farms in Ethiopia: Do neighborhood effects matter? A copula stochastic frontier and spatial Durbin regression

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