scholarly journals Land Tenure Systems and Agricultural Productivity in Nigeria: a Case of Rice Production

2021 ◽  
Author(s):  
Saheed Olakunle SANUSI ◽  
Musa Janga Madaki ◽  
Hyelni Seth David ◽  
Sharon Ocheinehi Adole
Keyword(s):  
Total Factor Productivity ◽  
Land Tenure ◽  
Rice Production ◽  
Factor Productivity ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Productivity Level ◽  
Rice Farmers ◽  
Stochastic Production ◽  
Land Tenure Systems

Abstract This study examined land tenure systems and rice productivity in Nigeria. Primary data were used for the study. Data were collected with the aid of a well-structured questionnaire. A four-stage sampling technique was used to select a total sample size of three hundred and forty-nine (349) rice farmers based on the number of questionnaires correctly filled and returned from the selected sampled size. Data were analyzed using descriptive statistics, total factor productivity, and Stochastic production frontier model. The study revealed that large portion of the land (over 94%) used for rice production were acquired through inheritance mode of land acquisition and communal type of land tenure system widely practiced. The result of total factor productivity indicated that 62.18% of the rice farmers were at sub-optimal productivity level. The results of the stochastic production frontier function revealed that seed (P< 0.10), and fertilizer application (P<0.01) were the significant factors influencing technical efficiency of rice production in the study area. Based on the findings, the study recommend that current land use act and policy should be amended to prevent concurrent grabbing of agricultural land for non-agricultural purposes in order to enhance availability and accessibility of land for agriculture.

scholarly journals Efisiensi Teknis Usaha Tani Padi di Provinsi Kepulauan Bangka Belitung

2019 ◽  
Vol 17 (2) ◽  
pp. 139
Author(s):  
Fitri Kartiasih ◽  
Adi Setiawan
Keyword(s):  
Technical Efficiency ◽  
Rice Seed ◽  
Rice Farming ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Land Preparation ◽  
Rice Productivity ◽  
Rice Farmers ◽  
Stochastic Production ◽  
Preparation Equipment

<p>Rice productivity in Indonesia varied greatly between provinces. Rice productivity in the Bangka Belitung Islands was the lowest figure compared to other provinces in Indonesia from 2013 to 2015. The purpose of this study was to provide an overview of rice farming, analyze the technical efficiency and its influencing factors of rice farming, and analyze the income level of rice farming in the Province of Bangka Belitung Islands. The data used in this study were raw data of the 2014 Household Survey of Rice Crop Farming (SPD 2014) conducted by Statistics Indonesia. The analytical method used was the Stochastic Production Frontier. The results showed that the factors influencing rice production were seeds, fertilizers, pesticides and the use of hired labours. The average level of technical efficiency of rice farmers was 20% of maximum production. This shows that rice farming was not yet efficient. Factors that negatively affect the technical efficiency of rice farming were those among other age of the farmer, land preparation equipment, ownership status of land preparation equipment and the planting system. The results of the study also showed that the more efficient the rice farming, the greater the farmers' income. To increase productivity through increasing technical efficiency, it is recommended that rice farmers are facilitated or supported to use a better quality of rice seed.</p><p> </p><p>Abstrak</p><p>Produktivitas padi di Indonesia sangat bervariasi antar provinsi, di mana produktivitas padi di Kepulauan Bangka Belitung menunjukkan angka terendah dibandingkan provinsi lain di Indonesia selama tahun 2013 hingga 2015. Tujuan penelitian ini antara lain untuk memberikan gambaran usaha tani padi di Provinsi Kepulauan Bangka Belitung, menganalisis efisiensi teknis usaha tani padi serta faktor-faktor yang memengaruhinya, dan menganalisis tingkat pendapatan usaha tani padi. Data yang digunakan dalam penelitian ini adalah <em>raw </em>data hasil Survei Rumah Tangga Usaha Tanaman Padi 2014 (SPD 2014). Metode analisis yang digunakan adalah <em>Stochastic Production Frontier. </em>Berdasarkan hasil penelitian menunjukkan bahwa faktor-faktor yang memengaruhi produksi padi di Kepulauan Bangka Belitung adalah penggunaan benih, pupuk, pestisida dan penggunaan pekerja dibayar. Rata-rata tingkat efisiensi teknis petani padi di Kepulauan Bangka Belitung adalah 20% dari produksi maksimum. Hal ini menunjukkan bahwa usaha tani padi belum efisien. Faktor-faktor yang berpengaruh negatif terhadap infesiensi teknis usaha tani padi adalah faktor umur petani, alat pengolahan lahan, status alat pengolahan lahan dan sistem tanam. Hasil penelitian juga menunjukkan bahwa semakin efisien usaha tani padi maka pendapatan petani juga semakin besar. Untuk meningkatkan produktivitas dengan cara meningkatkan efisiensi teknis, disarankan petani padi difasilitasi atau didorong untuk menggunakan benih yang berkualitas.</p>

scholarly journals Technical Efficiency and Its Determinants of Rice Production in Cambodia

2016 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Capital Investment ◽  
Management Practices ◽  
Central Government ◽  
Technical Skills ◽  
Rice Production ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Rural Farmers ◽  
Stochastic Production

The present study aims to measure the technical efficiency and establish core factors effecting rice production in Cambodia. Four-years dataset generated from the central government document &ldquo;Profile on Economics and Social&rdquo; of entire 25 provinces between 2012-2015 and the stochastic production frontier model (SFA) was applied. The results indicated that the technical efficiency of Cambodian rice production varied according to the different level of capital investment in agricultural machineries, total rice actual harvested area, and technically fertilizers application within provinces. Furthermore, evidence revealed the overall mean efficiency of rice production is 78.4% implies that there is still room to further improve technical efficiency by given the same level of inputs and technology. More importantly, the findings revealed that irrigation, production technique and amount of agricultural supporting staffs are being as the most important influencing factors of rice production in Cambodia. In conclusion, present study strongly recommends the development of irrigation systems and good water management practices to be considered and bring into more effective actions by the central government as well as related agencies for improving rice production in Cambodia in addition to capital investment and improving technical skills of supporting staffs and rural farmers.

scholarly journals Technical Efficiency and Its Determinants of Rice Production in Cambodia

2016 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Capital Investment ◽  
Management Practices ◽  
Central Government ◽  
Rice Production ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Rural Farmers ◽  
Stochastic Production ◽  
Output Quantity

The present study aims to measure the technical efficiency and establish core factors effecting rice production in Cambodia. Four-years dataset generated from the central government document &ldquo;Profile on Economics and Social&rdquo; of entire 25 provinces between 2012-2015 and the stochastic production frontier model (SFA) was applied. The results indicated that the level of output (quantity) of Cambodian rice production varied according to the different level of capital investment in agricultural machineries, total rice actual harvested area, and technically fertilizers application within provinces. Furthermore, evidence revealed the overall mean efficiency of rice production is 78.4% implies that there is still room to further improve technical efficiency by given the same level of inputs and technology. More importantly, the findings revealed that irrigation, production technique and amount of agricultural supporting staffs are being as the most important influencing factors of rice production&rsquo;s technical efficiency in Cambodia. In conclusion, present study strongly recommends the development of irrigation systems and good water management practices to be considered and bring into more effective actions by the central government as well as related agencies for improving rice production in Cambodia in addition to capital investment and improving technical skills of supporting staffs and rural farmers.

A generalized stochastic production frontier analysis of technical efficiency of rice farming

2016 ◽  
Vol 9 (2) ◽  
pp. 114-128 ◽  
Author(s):  
Aditi Bhattacharyya ◽  
Raju Mandal
Keyword(s):  
Technical Efficiency ◽  
Rice Production ◽  
Farm Households ◽  
Rice Farming ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Technical Inefficiency ◽  
Content Type ◽  
Farm Level ◽  
Stochastic Production

Purpose This paper aims to analyze farm-level technical inefficiency of rice farming in Assam, India, using a multiple-output generalized stochastic frontier framework. Design/methodology/approach Primary data for this study were collected in 2009-2010 from 310 farm-households in four non-contiguous districts of Dhubri, Morigaon, Dibrugarh and Cachar that are located in different agro-climatic regions of Assam. Based on a Cobb–Douglas production function for multiple rice varieties, the paper simultaneously estimates the generalized stochastic production frontier and examines effects of exogenous factors on farm-level technical inefficiency. Findings Results of this study show that the average technical inefficiency of farms is 8.5 per cent in the sample. Further, inefficiency is lower in the frequently flood prone areas, and availability of government support helps reduce such inefficiency as well. However, technical efficiency is higher for the Muslim farm-households, and it decreases with greater land fragmentation. The study also finds that the use of primitive technology like bullock reduces technical efficiency of rice farming. Originality/value This paper is based on a novel data set that has specially been collected to examine productivity and efficiency of rice cultivation in the flood plains of Assam that has not been studied before. Further, to the best of the authors’ knowledge, this paper is the first one to model rice production as a multiple-output stochastic production frontier and analyze technical efficiency of rice production accordingly.

scholarly journals Land Tenure and Technical Efficiency of Smallholder Tea Producers: The Case of Ya’An City, China

2021 ◽  
Vol 24 (2) ◽  
pp. 21-34
Author(s):  
Abrham Tezera Gessesse ◽  
Ge He
Keyword(s):  
Technical Efficiency ◽  
Land Tenure ◽  
Smallholder Farmers ◽  
Farm Size ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Tenure Security ◽  
Tea Production ◽  
Stochastic Production ◽  
The Impact

70 percent of the world and 80 percent of China’s tea production produced by smallholder farmers. However, the tea production per unit area significantly unchanged in the past decades. Understanding factors affecting the technical efficiency of smallholder tea producers is very important to maximize tea production. Aimed at examining the impact of land tenure security and land certification on smallholder tea producers’ technical efficiency, this paper employs the Cobb- Douglas Stochastic Production Frontier (CD-SPF) and Translog Stochastic Production Frontier (TL- SPF) methods for Maximum Likelihood Estimate (MLE) with cross-sectional data collected from 161 randomly selected tea farm plot households in Ya’an city, China. We found that an 1 mu (0.067 ha) increase in the tea farm size will produce a 1.086 tea yield advantage for smallholder tea farmers. We also found that the values of input-output elasticity of land size, household income and labor decrease in turn with 0.144, 0.105 and 0.010 respectively. The results show that farm size is a more crucial input for tea production than income and labor. Moreover, we identify the determinations which enhance the technical efficiency of smallholder tea producers such as land certification, land tenure security age, education, farming experience, total farm size holding, chemical fertilizer, plot steepness and plot distance from home and find that the elimination of land tenure insecurity through land registration and certification makes a clear difference in that. We therefore recommend that tea farmland need to expand and enlarge for better production through comprehensive land consolidation program. We also suggest endorsing the land certificates of all land holders as this will help improve land tenure security, enhance technical efficiency and promote the tea production of smallholder producers.

scholarly journals Productive Performance of Indian Mining Industry: A Stochastic Frontier Decomposition

2017 ◽  
Vol 7 (1) ◽  
pp. 80-88
Author(s):  
Auro Kumar Sahoo ◽  
Dukhabandhu Sahoo ◽  
Naresh Chandra Sahu
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Mining Industry ◽  
Factor Productivity ◽  
Stochastic Production Frontier ◽  
Frontier Analysis ◽  
Tfp Growth ◽  
Stochastic Production

This paper has estimated the Total Factor Productivity (TFP) growth of Indian mining Industry for the period 1989-2014 based on a decomposed formulation of stochastic production frontier. Productivity growth and its decomposed components have been compared over the study period. It is found that the annual average TFP growth of mining industry rose up from 3.66 % during 1989-2005 to 8.76 % during 2006-2014. Further, the result of decomposition reflects that the major source of productivity growth has changed from Technological Progress (TP) in initial years to Technical Efficiency Change (TEC) in recent years. In view of this, it could be suggested that mining industry in India requires to focus on investment in innovation and up-gradation of existing technology to further enhance productivity. Keywords: Total Factor productivity; Mining Industry; Panel data; Stochastic Frontier Analysis (SFA) 

Does a Diversified Crop Portfolio Make Farmers More Efficient? A Stochastic Production Frontier Analysis of Farm-level Data from Assam, India

2021 ◽  
pp. 097300522199758
Author(s):  
Raju Mandal ◽  
Shrabanti Maity
Keyword(s):  
Positive Impact ◽  
Northeast India ◽  
Government Support ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Frontier Analysis ◽  
Farm Level ◽  
Agriculture Sector ◽  
Level Data ◽  
Stochastic Production

The agriculture sector in India is beset with twin limitations of shrinking cultivable area and absence of major technological breakthroughs in the recent past. In such a situation, a judicious management of the farm in the form of adjustment in a crop portfolio can be quite useful to maximise output and minimise wastage of resources. This article seeks to examine whether a diversified crop portfolio makes the farmers more efficient using farm-level survey data collected from geographically diverse areas of Assam, a state in northeast India. The results of a stochastic production frontier analysis show that adoption of a diversified crop portfolio across crops and seasons makes the farmers more efficient in cultivation by helping them reduce weather-induced damages to crops and reap better returns from farming. This efficiency-enhancing effect of crop diversification is found to be heterogeneous among the regions. However, too much diversification reduces the efficiency of farmers. The results have important implications for Assam where floods cause extensive damage to crops every year. Moreover, access to extension services and government support are found to make the farmers more efficient. On the other hand, fixed-rent form of tenancy reduces efficiency of the farmers while household size has a positive impact on the same.

scholarly journals The Economics and Productivity of Organic versus Conventional U.S. Dairy Farms

2021 ◽  
pp. 1-19
Author(s):  
Richard F. Nehring ◽  
Jeffrey Gillespie ◽  
Catherine Greene ◽  
Jonathan Law
Keyword(s):  
United States ◽  
Returns To Scale ◽  
Dairy Farms ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Return On Assets ◽  
Input Distance Function ◽  
Technological Adoption ◽  
Stochastic Production ◽  
Certified Organic

Abstract United States certified organic and conventional dairy farms are compared on the basis of economic, financial, and technological measures using dairy data from the 2016 USDA Agricultural Resource Management Survey. A stochastic production frontier model using an input distance function framework is estimated for U.S. dairy farms to examine technical efficiency and returns to scale (RTS) of farms of both systems and by multiple size categories. Financial and economic measures such as net return on assets and input costs, as well as technological adoption measures are compared by system and size. For both systems, size is the major determinant of competitiveness based on selected measures of productivity and RTS.

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