Stochastic Frontier Production Function Research Articles

Multiple roles of agricultural cooperatives in improving farm technical efficiency: A case study of rural Gansu, China

AbstractThe establishment of agricultural cooperatives is widely viewed as an institutional arrangement to remove constraints that prevent smallholders from accessing profitable business opportunities in agriculture. Agricultural cooperatives in China offer a wide range of services within the framework of contract farming and vertical integration. This study empirically examines the multiple roles of China's cooperatives in improving farm production efficiency and conserving the agricultural environment. Considering that agricultural cooperatives' services can be broadly divided into biological and machinery services, we specify a stochastic frontier production function in a special form, called the separated Cobb–Douglas. The empirical results present clear evidence that Chinese agricultural cooperatives play essential roles in increasing biochemical technical efficiency and protecting the agroecological environment. However, the involvement of cooperatives as vertical integrators is demonstrated to have a detrimental effect on biochemical technical efficiency. The pressing challenge for agricultural cooperative development in China is to accommodate the conflicting consequences that their entry into farming has on biochemical and machinery technical efficiencies. This has strong policy implications, although our study has certain limitations in terms of the narrow focus on a single specific region. [EconLit Citations: C26, Q12, Q13, Q15, Q18].

Analyzing Technical Efficiency in Cereal Production across Selected European Union Countries

This paper investigates the technical efficiency of cereal production in European Union (EU) countries from 2008 to 2018. The primary purpose is to estimate technical efficiency scores by country and crop and explain their variation using macroeconomic and agricultural policy variables using the stochastic frontier production function. The results indicate that the United Kingdom has the highest efficiency in barley production, while Finland has the lowest. France exhibits the highest efficiency in common wheat, and Romania has the lowest efficiency in grain maize production. This study also explores the impact of various factors on technical efficiency, finding, for example, the positive effects of female wages and foreign direct investment on barley production efficiency and the negative effects of forest area and subsidies. Similar analyses were conducted for wheat and maize production. The results indicate a variation in technical efficiency scores across crops and countries. This diversity in performance not only reflects the inherent complexities within each crop but also emphasizes the crucial role played by macroeconomic variables and agricultural policies in shaping efficiency outcomes on a country-wide scale.

Stochastic Frontier Analysis of Hot Pepper Production among Small-Scale Farmers in Dutsin-Ma Local Government Area of Katsina State, Nigeria

This study used the Stochastic Frontier model to analyze hot pepper production among small-scale farmers in Dutsin-ma Local Government Area, Katsina State. Purposive and proportionate random sampling techniques were used to select 121 hot pepper farmers from whom the data was collected using a structured questionnaire. The data was analyzed using descriptive statistics, gross margin analysis, and stochastic frontier production function model. The result of the study shows that hot pepper production activity is dominated by male (99.2%) and married (95.0%) farmers whom are middle aged (Mean = 39 year) and most of them (about 53%) have household size of 1-10 persons, and an average farming experience of 13 years with a farm size average of 1.5 hectares. Majority of the hot pepper producers are engaged in its production for income generation while only few among them have access to credits. The result of the gross margin analysis (GM) shows that hot pepper farmers incurred total variable cost (TVC) of NGN138,703.6, and a return of NGN164,513.4 that yielded the profit of NGN25,809.8 per hectare of production and a return on investment of 1.28. The average technical efficiency (TE) of the farmers was found to be 80% among hot pepper farmers in the study area. Moreover the result of the frontier analysis shows that seed, labor and fertilizer are significant inputs determining hot pepper output. In addition to that inefficiency components of the frontier analysis revealed education, access to extension service, cooperative membership, Years of farming experience, farm size, and household size to be the significant determinants of efficiency of hot pepper production in the study area. The result also revealed that farmers in the study area are faced with major challenges of high costs of production inputs and problems of pests and diseases.

1Department of Agricultural Economics, University of Abuja, Nigeria 2Department of Agricultural Economics and Extension, Federal University of Lafia, Nasarawa State, Nigeria. 3Federal Polytechnic, Nasarawa, Nasarawa State, Nigeria.

This research work examined the economics of yam production among smallholder farmers in Gwagwalada and Kwali Area Council of Federal Capital Territory, Nigeria. The specific objectives include to: estimate the profitability of yam production and examine technical efficiency in yam production. Multistage sampling was used for this study. Data was analyzed with descriptive Statistics, Stochastic Frontier Production Function, Gross Margin Analysis and Principal Components Analysis. The results showed that, (86.2%) of the respondents were males with average age of 40 years and 17 years farming experience. Also 43.27% of the sampled yam farmers had no formal education with average household size of 6 persons, and also (64.1%) were not members of any farmers association. Also 47.44% of the sampled farmers sourced their capital through personal savings. Whereas, 90.06% of the farmers had access to extension services with average farm size of 2ha. The result of costs and returns reveals that the cost of labour was N 98, 865.74/ha which carried the highest proportion of the total variable cost (TVC). The TVC incurred by the yam farmers was N 202, 544.82/ha and the total revenue obtained was N 410, 879.80/ha with the gross margin of N 208, 334.98 which indicates that yam production was a profitable enterprise in the study area. The factors that influence the total output were farm size (P<0.05), Agro chemical (P<0.01). The factors influencing technical efficiency were educational level of farmers (P<0.05), access to credit facilities (P<0.05), extension contact (P<0.05), farming experience (P<0.05), household size (P<0.05) and cooperative membership of (P<0.05). The mean technical efficiency was 51.1%. Yam farmers encountered the following constraints; high cost of transportation, inputs, seed material, inadequate finances and lack of storage facilities. The following recommendations were made: since yam production is a profitable enterprise it should be encouraged to increase their scale of production to earn more profit that could improve their welfare and livelihood. Farm input such as agro-chemical, improved seed varieties should be provided to yam farmers at subsidized rate and timely by government or non-governmental agencies. Keywords: Technical Efficiency, Yam Farmers, Yam Production, Farm Management Key words: Source Documents, Credibility, Financial Reports, Accounting Circle Journal Reference Format: Idisi, P.O., Musa, S., Maduekwe, I.M., Ogunrinde, H., Atteh, A.P., Emmanuel, A.I. & Simpa, O.J. (2023): Technical Efficiency in Yam Production Among Small Scale Farmers in Federal Capital Territory, Nigeria. Humanities, Management, Arts, Education & the Social Sciences Journal. Vol. 12. No. 1, Pp 29-48. www.isteams.net/humanitiesjournal. dx.doi.org/10.22624/AIMS/HUMANITIES/V12N4P3

THE PROFIT EFFICIENCY OF MORINGA OLEIFERA PRODUCTION IN OSUN STATE, NIGERIA

This study examined the profit efficiency of Moringa oleifera production by farmers in Osun State, Nigeria. Primary data were obtained from 150 respondents. Multistage sampling procedure was used for selecting respondents. The data were analyzed with the aid of descriptive statistics, budgetary analysis and stochastic frontier production function. The findings revealed that male predominate moringa enterprise with about 55.3% male, most producers fall between the age bracket 41-50years with a mean age of 44.92 (± 13.168) years and the average farm size is 0.3 hectares whilst indicating that most producers had less than 0.1 hectares of land. Moringa production had a benefit cost ratio of ₦5.852, profit margin of ₦0.182, expense structure ratio of ₦0.107, net return on investment ₦4.857, rate of return of ₦5.482 and profitability ratio of ₦0.981. The average profit efficiency of moringa producers was 18.73% on the profit frontier. Family labour, hired labour and transport cost were significant and had positive coefficient while the seed cost, pesticide cost, level of education and farm size are also significant but bears negative coefficient. The level of education and farm size are amongst the inefficiency variables considered. This study concludes that Moringa oleifera production is highly profitable but producers have not been able to maximize profit efficiency. It therefore recommends that producers improve on adding value to moringa products and extend their channels of distribution considering the cost incurred on transportation.

Determining the Technical Efficiency of Potato Farms and Influencing Factors in Bamyan Province

Considering the limitation of resources in agriculture, the need to shift the method of higher productivity through increasing inputs into improving the technical efficiency is becoming more important. Since potato production is one of major agricultural activities in Bamyan province which supports the livelihood of the majority of the peasant community and more thane50% of the country’s total potato production is produced here, the province has the most prominent position compared to other provinces in this regard. The current study aimed to determine the technical efficiency of potato farms and the influencing factors in Yakawlang district and Bamyan center. The required were collected using stratified sampling method by filling questionnaires with 286 potato farmers in 2019. To determine the technical efficiency of potato production, Cobb- Douglas stochastic frontier production function along with inefficiency function were applied. The results showed that the inputs such as area under cultivation, labor force, amount of seed, amount of DAP fertilizer and animal manure had positive and significant effects on potato production. The mean of technical efficiency was 71.5% varying from the lowest of 26.9% to the highest of 92.7% was calculated. the inefficiency model also revealed that the variables marital status, living area, meeting with the extension workers year-round and satisfaction from the sale method of potato had positive effect on the level of technical efficiency of potato farmers. Based on the results, the qualitative and quantitative betterment in extension training programs coupled with DAP fertilizer and animal manure can be the managerial measures.

Analysis of the Impact of Land Use Change on Grain Production in Jiangsu Province, China

Located in the Yangtze River Delta region, Jiangsu Province has become the major grain production area of China and plays an important role in ensuring national food security. With rapid economic development and urbanization, the amount of cultivated land has decreased, which greatly affects food security. Based on the statistical data of grain production in Jiangsu Province since 2000 and the remote sensing data of 2000, 2010, and 2020, this paper used the stochastic frontier production function to calculate the output elasticity of various factors and the technical efficiency of grain production. The agglomeration effect of food production was investigated by using spatial correlation analysis. Finally, regression analysis was applied to examine the impact of land use change on grain yield and the technical efficiency of production. The results show that the grain-sown area is the decisive factor for the increase in grain output in Jiangsu Province. The technical efficiency of grain production in the province has been maintained at a relatively high level since 2000, showing a fluctuating upward trend, and the efficiency value in southern Jiangsu Province is greater than that in central and northern Jiangsu. The analysis of the spatial distribution characteristics of grain production technical efficiency shows that grain production has an agglomeration effect. The regression results showed that the complexity of land use and the density of the cultivated land patch were negatively correlated with grain yield and grain production technical efficiency, while the location of cultivated land was positively correlated with grain yield and grain production technical efficiency. The conclusion of this paper has important policy significance for promoting food production and ensuring food security.

Pig farming profitability and constraints in smallholder households in Rwanda: a case study of Musanze district.

The increasing human population risks food insecurity especially food of animal origin. Pig plays an important role in household income in all production. The main aim of this study was to analyze the pig farming profitability and constraints in smallholder households in Rwanda. A multistage sampling technique was employed for the success of the research. The study was carried out in five sectors of Musnze district. A purposive sampling technique was used to select Musanze district and five sectors. However, a random sampling method was used to have a sample size of 120 pig farmers’ respondents. The cost and returns associated with pig farming production were carried out to determine the profitability of pig production while a stochastic frontier production function was used to determine factors influencing pig farming in small householders using STATA. The findings indicated that men are the majority of the respondents in pig farming production in the study area. The findings of the regression analysis indicated that five factors namely education level, market availability, off-farm generation, feed availability, and access to veterinary services were positive, and statistically significant at P ≤ 0.01 level of probability and influenced pig farming in the study area. The findings also indicated that the Total Revenue (TR), Total Cost (TC), Gross Margin (GM), and Net Farm Income (NFI) were statistically significant at (p < 0.01). The research findings indicated that pig farming is a profitable business in the study area. The result of regression analysis also indicated that the three factors namely income generation, employment opportunities, and new job creation had positive and statistically significant impacts on pig farming in the study area at P ≤ 0.01 level of probability. The findings of this study revealed that the most common constraints for pig farming in smallholder households were the high cost of feeds, inadequate initial capital, feeds sacristy and quality, lack of conservation facilities, pests, and diseases outbreaks, high cost of piglets, lack of farming information, and poor housing. Despite the constraints indicated by different respondents in the study area. Pig farming is an economically profitable business in the study area and it is capable of creating new jobs, enhancing employment opportunities, generating income, and clearly improving the standard livelihood of farmers. Based on the findings of the study, it has been recommended to promote interventions that can help provide initial start-up capital for farmers or marketing groups to help kick-start their farming operations; and to train and equip pig farmers and veterinaries in new technologies and innovations. Promote the analysis of profitability, opportunities, and constraints along the pig value chain as well as to support and improve the underlying business progress or stunting well as to make a good decision.

Urban construction land allocation efficiency of urban agglomerations in China based on a stochastic frontier production function approach

This study employs stochastic frontier production function approach to measure the spatial differences and temporal variations of urban construction land allocation efficiency (UCLAE) and its decomposed indicators in the eastern, central, and western urban agglomerations of China. The collection of construction land price data and the application of the Kumbhakar total factor productivity decomposition method in this study address the research gap in the field of urban land efficiency, specifically the inadequacy of studying the efficiency of construction land allocation. The findings reveal that the UCLAE in the central urban agglomerations demonstrates a stable or upward trend, while the UCLAE in the western and eastern urban agglomerations shows a significant decline, albeit with a decreasing trend that has been curbed. The evolution of urban construction land allocation and its efficiency in different urban agglomerations in China supports the theories of unbalanced growth and inverted U-shaped development. To enhance the UCLAE in Chinese urban agglomerations, it is necessary to address the issue of imbalanced land allocation. This requires not only focusing on the construction land allocation in each urban agglomeration but also considering workforce allocation in the western region and capital allocation in the eastern region. Furthermore, it is crucial to synergistically improve the resource allocative efficiency and technical efficiency of Chinese urban agglomerations.

An Empirical Study of Middle-income Farmers on Millet Production in Kano South Nigeria: A Stochastic Frontier Analysis Approach

This paper aimed at assessing the technical efficiency of millet farmers in Kano south Nigeria using the stochastic frontier production function from the parametric perspective. The determinants of technical efficiency, such as, education, extension access, access to loans, farm size, labour etc, which played a great role in technical efficiency level, are assessed to measure the level of efficiency of the middle-income farmers. 227 middle income farmers were selected for the study and provide an empirical analysis of the efficiency determinants which aim to find a way of improving the millet production and productivity. The results show that middle income farmers’ productivity is very weak ranging from 0.023t/ha to 5.62t/ha, averaging 1.07t/ha. While the technical efficiencies of middle-income farmers range from 0.013 to 0.930 with mean of 0.621. However, the results also indicate that most of the above determinants have negative effect on technical efficiency for the farmers. So, there is need by the government at all levels to review the existing agricultural policy that will favour the reality on the ground which will result in improving the output level of the middle-income farmers with their minimum available input. International Journal of Statistical Sciences , Vol. 23(2), November, 2023, pp 39-46

Efisiensi Alokatif Usahatani Sorgum Di Desa Ondorea Barat Kabupaten Ende

Sorghum plants have the potential to be developed in Ende Regency, this commodity has been passed down from generation to generation and has become an alternative food to replace rice, but its productivity is still relatively low. Research objectives (1) to find out whether sorghum farming has achieved efficiency both technically and allocatively (2) to find out the factors that influence the technical efficiency of sorghum farming. The sample method uses simple random sampling, the sample size is 92 farmers. Data analysis, stochastic frontier production function. Sorghum farming is said to be allocatively efficient if the marginal product value (NPM) of production factors is the same as the price. Factors that influence production, seeds, land area and labor. Maximum technical efficiency value 0.92, minimum 0.70. Average technical efficiency 0.83. NPMx/Px for seeds, land area and labor < 1, the conclusion is that these three variables are not allocatively efficient. Factors that influence technical efficiency are age, farming experience, formal education dummy, farmer group membership and family size.

Impacts of climate change-induced heat stress on pig productivity in China

The economic impacts of climate-induced heat stress on pig farming have not been sufficiently investigated, despite the significant threat it poses to the industry. In this study, we coupled consecutive years of county-scale meteorological data with operational-level economic data to estimate the impact of climate-induced heat stress on the productivity of the Chinese pig industry using a stochastic frontier production function model. Based on model results, we projected the impact of heat stress on pig production in 2030 and 2050 with and without technological advances. Results showed that heat stress has a significant negative impact on pig production, with southern regions being more affected. However, considering technological advances, losses will decrease by 21 % and 52 %, respectively, compared with the scenario without technological advances. Simultaneously, we calculated the costs of climate change mitigation and adaptation and found that increasing production inputs to reduce production losses from heat stress costs one-fifth of forgoing production losses. Therefore, we recommend a positive climate change response strategy.

Technical efficiency of small-scale production of date palm in Jigawa State

This study was conducted to analyse the technical efficiency of small-scale date palm farmers in Jigawa state, Nigeria. A sample size of 113 small scale date palm farmers was selected for the study using random sampling technique. The technical efficiency for small- scale date palm production was determined using stochastic frontier production function. While age was identified as the major contributor to the technical inefficiency, the study however revealed the mean technical efficiency is 78% in small scale date palm production which implies a 22% potential for the least technically efficient small-scale date palm farmer to increase date palm production with the current level of resources and technology. It was concluded that small scale date palm production is technically efficient in the study area, although age is the major contributing factor of the technical inefficiency in date palm production.

Untapped Potential of Manufacturing MSEs in Bali Amidst the Covid-19 Pandemic

The macro health impact of the COVID-19 pandemic that resulted in an economic slump in Bali exposed the need for economic development outside the tourism sector. Manufacturing Micro and Small Enterprises (MSEs) is one sector that contributes significantly to the economy, export value, and employment, particularly during moments when the tourism sector is down. This study aims to determine the performance of manufacturing MSEs during 2018-2021 using Cobb-Douglas stochastic frontier production function analysis. The Technical Inefficiency (TE) value of manufacturing MSEs in Bali was 22.24% over 2018-2021. The impact of COVID-19 on each ISIC and business location has a varied impact on the production value of MSEs Manufacturing. The gender of the business owner, financial service, age of workers, and source of raw materials are inefficiency variables that significantly affect production value. However, the training received by manufacturing MSEs had no significant effect. The findings from this study can be used as a basis for government policy in further developing the untapped potential of manufacturing MSEs in Bali regarding impacts upon Bali's tourism sector during the pandemic.JEL Classification: D24, E23, J16, L86, O14 How to Cite:Candrawati, I.A., & Purwanti, P.A.P. (2023). Untapped Potential of Manufacturing MSEs in Bali Amidst the Covid-19 Pandemic. Signifikan: Jurnal Ilmu Ekonomi, 12(2), 383-398. https://doi.org/10.15408/sjie. v12i2.32389.

The Impact of the Farming Insurance Program on the Efficiency of Lowland Rice Farming in Rias Village, South Bangka Regency

The rice farming insurance program (AUTP) aims to support farmers in their rice production. This study aimed to analyze the effect of farmers’ participation in the AUTP program on the technical efficiency of lowland rice farming in Rias Village. The sample was determined using purposive sampling, which included 30 AUTP participants and 30 non-AUTP participants. The data was analyzed using the stochastic frontier production function and independent sample t-test. The results showed that the total surface area of farming, the amount of phosphorus and potassium fertilizer significantly affected rice production (α = 5 percent). Average value of technical efficiency of lowland farming was 0.50 (AUTP participating farmers) and 0.34 (non-AUTP participating farmers), which was below the threshold of the average technical efficiency (0.70). Thus, lowland rice farming was technically inefficient. The lowland rice farming of AUTP participants was slightly more efficient than non-AUTP participant farmers, but was not enough to redeem efficiency. Farmers’ age, education, number of family of farmers, duration of farmers joined a farmers group and farmers’ participation in the AUTP programs had significant effects on TE in lowland rice farming (α = 5 percent). Intensive assistance from the agricultural extension workers regarding the technical management of lowland rice farming would be beneficial.

Technical efficiency with stochastic production function frontier of seaweed farming in Pantai Amal, Tarakan City

Efficiency in production is very important to produce optimal production. An important factor in carrying out production efficiency is the use of inputs or production factors so as to produce optimal output. This is often called technical efficiency. The sampling technique was carried out using a non-probability sampling method, while the method or technique used is purposive sampling, with certain considerations, namely: seaweed farmers who have been farming for at least 1 year, the farmer’s age is at least 17 years. The number of samples was carried out by quota as many as 60 seaweed farmers. Methods of data analysis Technical efficiency is analyzed using the stochastic frontier production function, in this case the form of the production function is the Cobb Douglass production function. The results showed (1) the factors that affect the technical efficiency of seaweeds are land area, amount of seeds, labor force, age, education, and farming experience. (2) The average level of technical efficiency of seaweed farmers in Tarakan City in general is 0.974 (efficient). The factor that can reduced technical inefficiency was education. education has a negative relationship and was significant in increasing technical efficiency.

An efficiency of technological innovation of legowo row system on rice farming in Lingsar district of West Lombok regency West Nusa Tenggara Province, Indonesia

This study aims to find the level of inputs significantly affect output, technical and allocative efficiency of technological innovation of Legowo Row System. The descriptive quantitative method with survey techniques was implemented. The cross-sectional data of 2021 to 2022 were gathered from 40 interviewees which determined by quota and proportional random sampling. The Stochastic Frontier Production Function Approach with the Cobb Douglas production function was used for analyzing the data. The arable land area, seeds and chemical fertilizers affected significantly output. Meanwhile, pesticide was not technically efficient, however, it was in the rational stage, while organic fertilizer and labor were inefficient and they were in the irrational stage. Allocative efficiency of input. the arable land, seeds, chemical fertilizers, and pesticides were not economically efficient because the value of the allocative efficiency was greater than one. It indicated that farmers have an opportunity to add more inputs to increase outputs for increasing return. The average arable land area of paddy farming was less than one hectare. The average physical product was 6.92 tons per hectare and Total Revenue was IDR 18,076,941 per hectare. Farmers are strongly suggested to use labeled seed and recommended chemical fertilizers for increasing output.

EFISIENSI TEKNIS USAHATANI PADI KALIMANTAN TENGAH: PENDEKATAN STOCHASTIC FRONTIER ANALYSIS

<p>The strategy to increase rice production is crucial to maintain food availability. The agricultural land expansion program in Central Kalimantan through the food estate program is considered an inappropriate solution considering social, environmental, and land conditions. The agricultural intensification method in Central Kalimantan is the answer to increasing the productivity of existing agricultural businesses by increasing production efficiency. This research aims to analyze the technical efficiency of lowland rice farming and the factors that influence it in Central Kalimantan province. This research used secondary data from the 2014 Rice Plantation Household Survey from the Central Statistics Agency. The data was analyzed using the stochastic frontier production function with Maximum Likelihood Estimation (MLE). The research results show that rice farming in Central Kalimantan is technically inefficient. Factors influencing the technical efficiency of rice farming are farmer age, land type, planting system, agricultural facilities, extension, farmer groups, and SLPTT participation. The low level of technical efficiency of rice farming in Central Kalimantan is an indicator that must be utilized to increase rice production so that food availability can be well-maintained.</p>

Assessment of The Technical Efficiency and Cost and Returns on Seed Yam Farms in North-Central

Achieving maximum output with a minimum level of resources has been a major discourse in recent years mostly in Nigeria’s seed yam production. Thus, the study evaluated the technical efficiency of the CAY- and NRCRI - seed yam farm and the costs and returns to seed yam production of CAY- and NRCRI - seed yam farms. The study adopted a quantitative research approach. Similarly, a multistage sampling method was used to 283 seed yam farmers. Descriptive statistics, cobb douglas stochastic frontier production function model and gross margin analysis were used for the study. The findings of the study revealed that technical efficiency scores of CAY- (20%) and NRCRI (17%) – seed yam farmers were generally low respectively, Similarly, CAY-Seed yam farmers’ farms had a higher gross margin ($199.64) when compared to NRCRI seed yam farmers’ farms ($97.29), The study concludes that seed yam technologies did not generally improve the technical efficiency of the seed yam farms. The study recommends that external factors such as seed yam varieties used should be assessed. For instance, farmers’ compliance to technologies introduced and the state of health of seed yam farmers should be considered in determining the technical efficiency of farms.

Stochastic Frontier Analysis of Production, Socio-economic and Institutional Factors Affecting Technical Efficiency of Cowpea Production in Chuka Sub-county, Kenya

Cowpea is one of the most important vegetable that ranks third among pulses and top five leafy vegetables consumed in Sub Saharan Africa. In Kenya cowpea contributes to cheap supply of nutritious food, revenue and food security. Despite its importance, cowpea production levels are a fraction of the potential due to low technical efficiency of production which affects the revenue levels and food security of the smallholder farmers. This study aimed to determine the production, socio-economic and institutional factors affecting the level of technical efficiency among smallholder cowpea farmers in Chuka Sub County, Tharaka Nithi County, Kenya. Using semi structured questionnaire in a population of 12905 households and using multistage sampling technique from 389 households cross-sectional data on production factors, socioeconomic and institutional characteristics was collected. Data collected was analyzed using descriptive statistics and stochastic frontier production function. The results indicated that production factors, socioeconomic and institutional characteristics significantly affected cowpea production. The mean technical efficiency index was 0.34. The stochastic frontier analysis revealed that production factor coefficients of labour (0.825), topdressing fertilizer (0.635), manure (0.325), agrochemicals (0.221) and land size (0.628) were all positive and statistically significant at 5% level. The inefficiency model revealed that the coefficients of socio-economic factors age (0.038), education (-0.156) and farming experience (-0.053), and the institutional factors, information sources/extension contact (-0.669) and access to digital financial services (1.527) were negative but statistically significant, except for age and access to digital service that were positive and significant. These variables were the determinants of technical efficiency in cowpea production. The results suggest that there is potential for cowpea farmers to increase production and net profits in the long run by efficient utilization of the existing mix of production inputs and technologies. Formulation of policies revolving around the significant variables, input supply, technology transfer and subsidies; extension services, information exchanges and market linkages are recommended to palliate technical inefficiency in cowpea production among farmers.