Technical efficiency of cocoa farms at varying elevation levels in Davao City, Philippines: implications to sustainable upland farming systems

Elevation is one of many components that influence agriculture, and this in turn affects the level of both inputs and outputs of farmers. This article focuses on the productivity and technical efficiency of 100 cocoa farms using cross-sectional data from areas ranging from 190 to 1021 m above sea level which were classified as low, medium, and high elevation in Davao City, considered as the chocolate capital of the Philippines. Using stochastic frontier analysis, the results showed that the cost of inputs per ha and the number of cocoa trees per ha significantly increase yield. Farms at high elevations were less technically efficient, as this entails lower temperatures and increased rainfall, and cocoa farming in those areas and conditions can be more challenging, especially with changes in farming practices, terrain, and distance to markets. Other significant variables were age of cocoa farms, married farmers, and age of the farmers. Older farms may be more developed, farmers who are married benefit from their spouses being able to readily contribute as farm labor, and lastly, older farmers' inefficiency may likely stem from nonadaptation of newer farming practices. With an average technical efficiency of 0.61, 0.63, and 0.26 in low, medium, and high elevation areas, respectively, farmers therefore have an incentive to improve farm practices and consider topographical variations found in high elevation areas. Recommendations for the improvement of technical efficiency of cocoa farms are better connectivity to markets, enhancing farm practices, and continuation and improvement of government programs on cocoa with an added emphasis on research. For farmers in high elevation areas, mitigating solutions such as sustainable agriculture practices and ecolabelling are key to improving efficiency and minimizing the potential negative impact on upland farming systems. Moreover, such adaptation measures may also contribute to sustainability of cocoa farming in high elevation areas.

Productivity and technical efficiency of Robusta coffee farms at varying elevation categories in Sultan Kudarat, Philippines: implications on sustainability

Elevation can affect agricultural outputs,affecting farms’productivity and efficiency.This article identified the significant production inputs influencing productivity and factors influencing technical efficiency(TE)and determined the average TE scores of Robusta coffee farms at varying elevations in Sultan Kudarat,Philippines.Cross-sectional data from the Mahintana Foundation,Inc.using random stratified sampling and power analysis from September 9,2021,to January 13,2022,were used to analyze 604 farms from areas ranging from 0.33 to 1284.18 above mean sea level(amsl),classified as low,medium,and high elevation.Open-Data-Kit-based(ODK)mobile data collection systems were utilized to precisely determine the farms’coordinates and elevation.Using stochastic frontier analysis,results showed that increasing the total fertilizer amount and total trees by 1%significantly increased yield by 0.20%and 0.79%,respectively.Meanwhile,increasing the total land area by 1%,including areas unutilized for coffee farming,decreases total yield by 0.11%.Regarding TE,results showed that TE decreases by approximately 0.58%at high elevations.Meanwhile,increasing net income from coffee farming alone by 1%significantly increases TE by 0.00008%.With an average TE of 0.60,0.77,and 0.63 in low,medium,and high elevations,farms may be incentivized to improve farming practices to increase their TE further.TE improvement recommendations include promoting coffee-agroforestry systems and ecolabelling at medium elevations,such as shade-grown coffee,to promote sustainable production in Robusta coffee farms by assigning a premium to consumers demanding environmental conservation.

ISO Certification and Technical Efficiency in the Banking Sector:An Evidence from WAEMU’s Countries Using the DEA Method

In the view of the international organization of standardization,the introduction of ISO standards is typical of quality management systems oriented towards strengthening the efficiency of enterprises.Business banks are not excluded from this requirement.The current study aims to evaluate the effect of ISO certification on the technical performance of WAEMU banks.Using BCEAO data(2020),the DEA model and Tobit estimates show that ISO certification has no effect on the efficiency scores of the banks in the sample.It is therefore appropriate for these banks to work on improving their business climate.

Technical Efficiency of"Master Switch"in Widening the Human Living Space by Fenlong Tillage

This paper reports"the fourth set"of drilling tillage after"ploughing(hoeing)"by manpower,animal power and tractor——Fenlong tillage technology(referred to as"Fenlong technology").It makes the cultivated land and saline alkali land transformed into"sponge"farmland through"drill bit"vertically digging into the soil,one-time deep cultivation,not disturbing soil layer,and granulating the soil,to bring about the effects of"expanding the land,releasing the natural force,water conservation,disaster reduction,carbon reduction,tillage saving,fertilizer saving and grain increasing",and can broaden the space for human survival and development.It has been applied to more than 50 crops in 28 provinces,including Guangxi,Hebei and Tibet.Without increasing the use of fertilizer and water,the yield of varieties in cultivated land increased by 10%-50%,while that in saline and alkaline land increased by 20%-100%.The storage of natural precipitation increased by 100%,and drought,high temperature and low temperature decreased by 20%-30%,and carbon sequestration and emission reduction reached 20%.It is proposed that China can implement the"dual strategy"platform of farmland,saline alkali land,rivers and water bodies constructing the"incremental""five new warehouses"of grain,water,fish,sugar,etc.and"increased grain return"abroad,to ensure national security.

Measuring technical efficiency of Chinese nonferrous metals enterprises on a background of industry consolidation

Since 2009, Chinese nonferrous metals industry has been carried out industry consolidation with strong support by the central government. This work examined technical efficiency of Chinese nonferrous metals firms and its change during the period of 2007 and 2011. Based on financial data from nonferrous metals listed companies, technical efficiency of nonferrous metal minerals mining firms and nonferrous metal smelting, pressing and processing firms was estimated respectively using the data envelopment analysis （DEA） method. It was found that, in both sectors, number of pure technical and scale inefficient firms dominated over efficient ones. Overall, their technical and scale efficiency tended to be very low after 2009. In particular, efficiency scores of nonferrous metal smelting, pressing and processing firms fluctuated greatly during the research period. And a limited number of large leading firms were able to maintain 100% efficiency score in the industry, while efficiency of most of other leading firms has declined since 2009.

Technical Efficiency Analysis of Electric Power Industry with Stochastic Frontier Model

A kind of algorithm was provided to resolve the calculating problem of stochastic frontier model and applied to electric power industry.By Matlab,maximum likelihood estimation is adopted to evaluate σ and λ of stochastic frontier model in this paper, then the technical efficiency of electric power companies is calculated. The calculated and analyzed results reflect the situation of the management of electric power industry on the whole,that is ,the electric power companies with high technical efficiency are those which have developed their modern enterprise system successfully.

Factors affecting technical efficiency of small-scale apple farms in Balochistan Plateau, Pakistan

In Balochistan, Agriculture is dominated by small-scale farmers and the apple production sector is confronted with the chronic constraint of low output per unit of input. Although some agricultural policies have been implemented in this province, studies on effectiveness and impacts of such policies over apple production and farmers' performance are still limited. This study is an effort to bridge the research gap on this potential crop in the plateau by investigating technical and scale efficiency of 181 officially designated small-scale apple farmers in mountainous district Mastung in Balochistan; then explored factors that underlie differences in production inefficiency. A two-stage input-oriented Data Envelopment Analysis(DEA) methodology was employed to evaluate technical and scale efficiency followed by truncated bootstrapped regression framework to analyze the correlative determinants to efficiency. Average technical and scale efficiencies of larger landholders were higher than medium and small landholders. Analysis indicated that there is still ample scope for inefficient sample farmers to reduce the input use by 33% without compromising the given yield level. Maximum contributions to the total input savings were from the use of urea, farm yard manure(FYM) and labor-use. Farmer's experience, farm ownership, irrigation constraints, and farmer's access to trainings, credit and extension services significantly affected apple farmers' technical efficiency. Based on the findings of this study, strategies are suggested to enhancing efficiencies by farmers' capacity development through effective extension services and trainings and provision of adequate credit.

Spatial variation of technical efficiency of cereal production in China at the farm level

Rice, wheat and maize are the main staple food crops to ensure the food security in China with diversified climate condition, cropping system and environmental and socio-economic factors across provinces. Spatial variation of technical efficiency in farmers' field is helpful to understand the potential to improve farmers' yield given the inputs level and reduce the yield gap. The study is based on a large-scale farm household survey which covered 1 218 rice farmers, 3 566 wheat farmers and 2 111 maize farmers in the main producing areas. The results indicate that rice farmers are with very high technical efficiency level, nearly 0.9 on average, with little room to improve the efficiency of agricultural inputs. Similar results have been found in wheat and maize farmers' fields, although the technical efficiency levels are lower than that of rice farmers while still at a high level with obvious variation across regions. Farmers with higher yield level also achieve better technical efficiency in most locations. Both local environmental and socio-economic factors significantly affect farmers' technical efficiency. In the context of urbanization and economic development, improved and new agricultural technologies need to be prioritized and facilitated to improve cereal yield at farm level.

What explains the technical efficiency of banks in Tunisia?Evidence from a two‑stage data envelopment analysis

In this study we examine the potential determinants of technical efficiency for the Tunisian commercial banking sector over the period of 1995–2017.First,we estimate banking technical efficiency with a radial and non-radial bootstrap data envelopment analysis.For the radial technique,we use an input-oriented approach and for non-radial we use the Range Adjusted Measure(RAM).Second,we use a double bootstrapping regression technique to estimate the influence of a set of eventual determinants on technical efficiency.Finally,based on all possible regressions,we gauge the overall effect of each determinant.Our results reveal that the input-oriented and RAM approach gave somewhat similar results.We found that the return on equity,the expense to income ratio,the loan to deposit ratio,and the growth rate are insignificant to Tunisian banking technical efficiency.In particular,banking technical efficiency increases with capitalization and inflation,whereas,it decreases with size,number of bank branches,management to staff ratio,and loan to asset ratio.In addition,we identified evidence supporting the moderate success of the last decade of reforms and a noticeable one for the post-revolution reforms in helping improve banking technical efficiency.The post-revolution reforms,largely revolving around reinforcing the rules of good governance and banking supervision,coupled with the restructuring of public banks,were found to be insufficient to raise overall banking technical efficiency despite improvement in the technical efficiency of private banks.

Technical efficiency and its determinants of the various cropping systems in the purple-soiled,hilly region of southwestern China

This study examines the technical efficiency(TE) differences among typical cropping systems of smallholder farmers in the purple-soiled hilly region of southwestern China.Household-,plot-,and crop-level data and community surveys were conducted to explore TE levels and determinants of typical cropping systems by using a translog stochastic frontier production function.Results indicate significant difference in TE and its determinants among cropping systems.The mean TEs of the rice cropping system(R),the rice-rape cropping system(RR),the rice-rape-potato cropping system(RRP),and the oil cropping system(O) are0.86,0.90,0.84,and 0.85,respectively,which are over 1.17 times higher than those of the maize-sweet potato-other crop cropping system(MSO) and the maize-sweet potato-wheat cropping system(MSW) at0.78 and 0.69,respectively.Moreover,Technical inefficiency(TIE) of different cropping systems is significantly affected by characteristics of the household as well as plot.However,the impact of land quality,mechanical cultivation conditions,crop structure,farming system,farm radius,household type,cultivated land area per capita,and annual household income per capitalon TIE vary by cropping system.Additionally,output elasticity of land,labor,and capital,as a group,is greater than the one of agricultural machinery and irrigation.Finally,when household-owned effective agricultural labor is at full farming capacity,optimal plot sizes for the R,RR,RRP,MSO,MSW,and 0 cropping systems are 1.12hm^2,0.35 hm^2,0.25 hm^2,2.82 hm^2,1.87 hm^2,and 1.17hm^2,respectively.

Effect of Introduction of Irrigation on Technical Efficiency of Olive-Growing Farms in Tunisia

This paper investigates the effect of the introduction of an irrigation technique on the technical efficiency of olive production in a sample of olive-growing farms in Tunisia, estimating the Cobb-Douglas form of stochastic frontier production function. Results indicate that estimated technical efficiency scores vary, ranging from a minimum of 3.0% to a maximum of 91.2% with a mean value of 61.2%. This suggests that olive-growing farms in Tunisia can increase their production on average by 38.8% through more efficient use of technology and inputs. The introduction of irrigation increased productivity, however, the estimated technical efficiency of irrigated olive farms varies across farms and they are less efficient than non-irrigated farms. This finding suggests that the introduction of irrigation to non-irrigated farms has the potential to increase production levels, however, the current production of the irrigated farms is far from the ＂best practice frontier＂ that realizes maximum possible output. Accumulation of experience and knowledge by farm owners and selection of olive cultivar significantly contribute to improving technical efficiency.

Farm Technical Efficiency under the Seasonal Milk Production of the Dual-Purpose Cattle System in El Salvador

The objective of this research was to calculate the technical efficiency and its determinants in seasonal milk production of dual-purpose cattle system farms of El Salvador （DPCS）. Seasons were classified as rainy （May-October） and dry （November-April）. The stochastic production frontier model through the Cobb-Douglas specification was used to provide the technical efficiency score and its determinants for the production data of the 2009 rainy season and the 2010 dry season of the DPCS farms from South East El Salvador. The results showed that the mean technical efficiency was 14% higher for the dry season than for the rainy season. Moreover, more farms obtained higher efficiency scores in the dry season. In the rainy season, milk production was attributed to labor and farmland, whereas in the dry season, it was attributed to the decrease of herd size. Therefore, we suggest adopting strategies such as increased cow productivity and improved feed quality to increase the overall technical efficiency of DPCS farms.

The Econometric Approach to Technical Efficiency of Public and Private Textile Enterprises in Iran

This study considers measurement of technical efficiency of 250 public and privately owned textile companies in Iran.Two stochastic frontier production functions are used for this purpose.One assumes that firm characteristics directly influence the degree of technical inefficiency while the other assumes that the technology plays a key role.Maximum likelihood method is used to estimate parameters of the models and predict technical efficiency for each enterprise.The results obtained when using these two models are compared.The sensitivity of efficiency measures with respect to different model specifications is also analyzed.Empirical results show that most of the enterprises are operating at high level of efficiencies.The overall mean efficiency is 86%,indicating that,on average,there is a potential for an increase of output by 14%.The result also shows that the public firms are operating more inefficiently than the private ones.

Technical Efficiency Estimation of Government Linked Companies in Malaysia

The Malaysian government launched the Government Linked Companies Transformation （GLCT） Programme in May 2004, with the aim, amongst others, of ensuring continuous improvement of these firms amidst global trade competitiveness and economic challenges. This paper examines technical efficiency of government linked companies （GLCs） and benchmarks the result with top foreign owned firms listed in Bursa Malaysia. The study employs an unbalanced panel dataset of 31 existing GLCs over a period of nine years （2000-2008） using the stochastic frontier model. The results provide estimates of mean technical efficiency of these firms for the first time, and highlight the variation between the GLCs and foreign owned firms which represent international standard. The findings show mean technical efficiency of GLCs is moving towards the frontier but it still relatively low compared to the foreign firms. The trend declined drastically at the later period showing a wider gap against the benchmark firms. The findings hope to contribute to the growing literature on firms＇ efficiency focusing on privatized firms in developing countries.

Data Envelopment Analysis in Estimation of Technical Efficiency Change of Regional Agriculture Production EU, 1989-2007

Assessment of production efficiency in economic activity is a major issue focused on by economists since the middle of the 20th century. One of the methods suitable in this respect is data envelopment analysis （DEA） facilitating the estimation of technical efficiency based on results obtained by a specified set of producers. Dynamics of changes in efficiency in agricultural production may be assessed on the basis of time series of several years. In the study, one of the variants of DEA was applied to economic results recorded in the years 1989-2007 by average farms representing selected regions of the European Union. The resulting individual dynamics of technical efficiency changes were divided into four homogeneous groups to facilitate identification of differences in production technology. These differences were then explained by classical analysis of basic factors use in agricultural production.

Measurement of Technical, AIIocative and Economic Efficiency of Tomato Farms in Northern Pakistan

The study measures productive efficiency of tomato growers in village Akbarpura of Disctrict Nowshera in Khyber Pakhtunkhwa （KPK） province of Northern Pakistan. The study uses household level data collected in summer 2010 from sample farmers selected by multi-staged sampling. The study uses a theoretical framework to measure productive efficiency and estimates the Cobb-Douglas frontier production and cost models. The study found that technical efficiency indices varied significantly, with technical efficiency index averaging at 65%. The indices of allocative efficiency also varied widely, with an average of 56%. There was a wide gap between the highest and lowest economic efficiency indices, with a mean economic efficiency of 35%. The study concluded that farmer education, extension visits, age and access to credit contributed significantly and positively to productive efficiencies. A policy implication of this study is that there is enough potential for farmers to increase tomato production and net profits. The study recommends that the government should further invest in public education and strengthen extension services farmer education and because extension visits constituted important determinants of productive efficiencies.

A technical efficiency evaluation system for vegetable production in China

With the increasing demand for food worldwide,it has attracted increasing attention how to improve the agricultural production efficiency.This paper aims to develop a technical efficiency evaluation system for vegetable production to provided decisions for the practice of precision agriculture.The paper analyses the system-needs and business processes,and proposes a system framework which has three tiers architectures,based on B/S model.The stochastic frontier analysis(SFA)algorithm model which is the incorporated into the system is established.The system was tested and evaluated by real business data,which were from Beijing from 2003 to 2011 to test system performance based on the temporal perspective and China during 2011 and 2012 to test system performance based on the spatial characteristics.The results shows that the system achieves the business requirements with an intelligent tool for data management and technical efficiency evaluation for vegetable production to improve automation,efficiency and convenience.

Technical Efficiency in the Chinese Textile Industry

This paper presents a measurement of the technical efficiency of textile industries with 4-digit codes in China by using the cross-section data from 2002 and 2007 and a fully nonparametric stochastic frontier estimation approach. The technical efficiency of these textile industries is compared across six economic ownership types and across seven regions in China. This uncovers the effects of the proprietary characteristics and the location of a firm on its technical efficiency performance. The nonparametric estimation provides some interesting findings. First, textile production in China performs with a decreasing return to scale. The difference between the output elasticity of labor and that of capital decreases from the year 2002 to 2007. Second, the technical efficiency of the 4-digit textile industry in China is significantly contingent on its ownership and location. Privately-run textile enterprises on average perform with the highest level of technical efficiency among the six ownership types while state-owned enterprises perform with the lowest level of technical efficiency, whether or not the location dummies are accounted for. Third, the technical efficiency evaluated by regions follows the order： ＂eastern area 〉 southern area 〉 central area 〉 northern area,＂ which remains unchanged across the two years.

Investigating Overall Technical Efficiency in China Commercial Banks： a DEA Approach

Based on the non-Archimedian infinite model C^2R of the Data Envelopment Analysis, combined with characteristics of Chinese mainland banks＇ inputs and outputs, the paper sets up an index system of inputs and outputs as well as an overall technical efficiency evaluation model for Chinese banks, which considers not only the profit ability, but also the control capacity of banks risk. The overall technical efficiency values of Chinese banks are given respectively based on the samples of state owned banks and 14 integrated samples both state owned banks and shareholding banks. The input redundancy of labor, net value fixed assets, operating expenses, owner＇s equity, branch number and output deficiency of operating income, total increase in deposits, total increase in loans, ROE, decrease in bad debts ratio, are also calculated. The pertinence policy suggestions of efficiency improvement of banks are put forward. The results show that the efficiencies of new shareholding banks are far higher than non-shareholding bank and the all four state owned banks are commonly lower in overall technical efficiency. The overall technical efficiency of Agriculture Bank of China is the lowest one in all banks, and Bank of Communications is the efficiency lowest in all shareholding banks. The contributions and characteristics of the paper are： 1） the bad debit ratio is used to reflect the quality of the outputs, which is an improvement to the current literature of neglecting the difference in loans quality. 2） The inefficiency reasons of banks are list out by quantity analysis, and the pertinent macro strategies and concrete measures on improving banks efficiency are given, which is another improvement to current research that tend to give the efficiency value, but not ignore giving improving strategy from quantities analysis. 3） Banks overall technical efficiency values under several portfolios of inputs and outputs are given respectively, which not only overcomes the restraints that the sample size is at least the 2 times of the number of inputs and outputs indexes, but also measures banks overall technical efficiency from several directions. 4） It makes the efficiency values estimation more comparable by extracting four state owned banks for another efficiency evaluation. Combining both state owned banks and shareholding banks as a whole group of efficiency evaluation shows the real overall technical efficiency distance between two different kinds of bank and provide realistic basis for the bank reform of China.

Nonfarm employment, agricultural machinery service purchase and agricultural production efficiency:An empirical study based on China's major wheat-producing areas

Based on the cross-sectional data of the survey conducted in China's main wheat producing areas at the end of 2019,this paper uses the translog production function model to estimate agricultural technical efficiency,and studies the relationship between nonfarm employment,agricultural machinery service purchase and agricultural production efficiency.The results show that the household non-agricultural employment ratio and non-agricultural income have a significant positive impact on the purchase of agricultural machinery services.In addition to the effect of scale efficiency,non-agricultural employment does not have a significant impact on agricultural technical efficiency,and labor transfer does not have a significant negative impact on agricultural production.