scholarly journals Productive efficiency of wine grape producers in the North of Portugal

2021 ◽  
Author(s):  
Micael Santos ◽  
Xosé Antón Rodríguez ◽  
Ana Marta-Costa
Keyword(s):  
Value Chain ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Structural Factors ◽  
Frontier Analysis ◽  
Face To Face ◽  
The North ◽  
Major Player ◽  
Output Information

Portugal is a country traditionally dedicated to viticulture and characterized by the production of wines of high quality. However, although it continues to be a major player in the world, both in the extension of vineyards and in the production of wine, it is certain that in recent years Portugal have lost market share in these areas. In this context, it is interesting to analyze if this situation could be related to the level of productive efficiency of vineyards. Therefore, the aims of this study are to analyse the farms that are efficiently allocating resources to achieve maximum production and to identify characteristics that make the farm more efficient. In addition, we want to analyse the productive efficiency of the farms from a regional perspective. To achieve this purpose, we use a database collected by face-to-face surveys from a sample of 154 wine-growing farms with specific input-output information from 2017. These farms are locating in the three regions of the North of Portugal (Minho, Douro and Trás-os-Montes), which represents more than 40% of the Portuguese vineyard area. To analyse the productive efficiency of the farms, we use the Stochastic Frontier Analysis (SFA). The results show that the efficiency level in the wine-growing farms from the North of Portugal is arround 67%, but with significant differences at regional level. Many of these discrepancies may be due to structural factors, such as the type of grape produced in each region. In conclusion, the findings make evident that the most efficient farms are not the most profitable due to the structure of the existing value chain.

Technical Efficiency Through Innovative Methods and Estimations in Financial Markets

2021 ◽  
pp. 55-70
Author(s):  
Aikaterini Kokkinou
Keyword(s):  
Financial Markets ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Efficiency Estimation ◽  
Non Parametric

This paper investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). This chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency in financial markets level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level. This chapter investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). More specifically, this chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency, its industrial level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level.

Technical Efficiency (TE) in Malaysia Electric and Electronic Manufacturing Industry: A Stochastic Frontier Analysis (SFA) Approach

2021 ◽  
Vol 12 (1) ◽  
pp. 98-98
Author(s):  
Norayati Hashim ◽  
Mohd Fahmy Abdullah
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industry ◽  
Stochastic Frontier Analysis ◽  
Developing Economies ◽  
Stochastic Frontier ◽  
Value Added ◽  
The United States ◽  
Average Growth ◽  
Frontier Analysis ◽  
Major Player

The Electric and Electronic (E&E) manufacturing industry is becoming more important for Malaysia economy that contributes to the Gross Domestic Product (GDP) and provide huge in job creation. Hence, real GDP grew at an average rate of 6.1% per year over 1970 to 2018 period, higher than the average growth of the advanced countries (OECD Economic Surveys: Malaysia 2019, 2019). Furthermore, Malaysia is a major player in the fast-expanding E&E market, of which major export destinations include Singapore, Hong Kong, the USA, PRC, Japan and Europe. In 2019, 37.8% of Malaysia total exports were from E&E industry, which accounted for RM372.67 billion worth of exports or 44.7 per cent of all manufacturing goods exported (MITI, 2019). However, the E&E manufacturing industry is fluctuating and was inconsistent in Malaysia (MITI, 2014). Furthermore, the external environment continued to be affected by global economic uncertainty in 2012, dampening demand for the E&E manufacturing industry exports to decrease by 2.5 percent to RM231.2 billion and had an impact on the labour market with total retrenchments increased by 35.2 percent to 7616, due mainly to higher layoffs in the manufacturing industry (MITI, 2012). This effect is due to the sovereign debt crisis in Europe, the United States (US) economic recovery was modest, dampened by both domestic and external weaknesses and the stagnant economy in Japan had an impact on the export performance. In addition that growing competition from manufacturers in developing economies such as China and ASEAN member countries, particularly in higher value-added assembly (Bank Negara Malaysia, 2012). Hence, Malaysia economic landscape year 2012 became more challenging to uncertainty affected by an increasingly competitive global environment. Keywords: Technical Efficiency, Electric and Electronics, Stochastic Frontier Analysis (SFA), Translog, Panel Data.

scholarly journals Productive efficiency analysis of quantitative economics journals through Stochastic Frontier Analysis using panel data

2020 ◽  
Vol 30 ◽  
pp. 297-311
Author(s):  
José Manuel Gavilan Ruiz ◽  
Francisco Javier Ortega Irizo
Keyword(s):  
Production Process ◽  
Stochastic Frontier Analysis ◽  
Scientific Journal ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Mathematical Methods ◽  
Frontier Analysis ◽  
Economics Journals ◽  
Using Data ◽  
Number Of Citations

The main goal of a scientific journal is to diffuse new knowledge. The number of citations received by a journal can be considered as a measure of this objective and, in turn, as a measure of productivity in relation to the production process in which the journals are involved. In order to assess this production process, in this paper econometric models using data panel are employed to obtain measures of efficiency for those journals belonging simultaneously to the areas of “economics” and “social science, mathematical methods” in the Web of Science database. This efficiency is measured in terms of the distance between the actual production of the journals and their estimated maximum achievable number of citations based on their available resources.

scholarly journals Cost Efficiency of Dairy Farming in New Zealand: A Stochastic Frontier Analysis

2014 ◽  
Vol 43 (3) ◽  
pp. 406-418 ◽  
Author(s):  
Nan Jiang ◽  
Basil Sharp
Keyword(s):  
New Zealand ◽  
Cost Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Capital Intensity ◽  
Dairy Farms ◽  
Dairy Farming ◽  
Farm Size ◽  
Frontier Analysis ◽  
The North

Research on the efficiency of dairy farming in New Zealand is limited and has focused predominantly on technical efficiency. We contribute to the literature on empirical analysis by examining cost efficiency of New Zealand dairy farms. We construct simplified translog stochastic cost frontiers based on an unbalanced panel of 824 farms. Average cost efficiency is estimated at 83 percent for dairy farms in the North Island and 80 percent for farms in the South Island. Our analysis of the relationship between inefficiency and farm characteristics suggests significant associations between cost efficiency and capital intensity, livestock quality, and farm size.

scholarly journals Market Imperfections within the European Wheat Value Chain: The Case of France and the United Kingdom

Agriculture ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 838
Author(s):  
Lukáš Čechura ◽  
Tinoush Jamali Jaghdani
Keyword(s):  
United Kingdom ◽  
Value Chain ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Positive Association ◽  
Market Imperfections ◽  
Niche Markets ◽  
Frontier Analysis ◽  
The United Kingdom ◽  
Two Stages

The focus of this paper is on the analysis of market imperfections in the French and U.K. wheat value chains. We used mark-up and mark-down models and stochastic frontier analysis to estimate the degree of market imperfections in two completely different wheat-to-bread chains for two stages/sectors—milling and baking. Our results reveal some degree of market imperfections within the input and output markets for both the milling and baking sectors in France and the United Kingdom. However, the abuse of bargaining power is especially pronounced in the input market for the second stage of wheat processing, particularly in the French baking sector. However, we did not observe the expected positive association between the degree of market imperfections and company size except for a group of middle, large, and very large companies within the millers’ input market. Small companies indicate considerably high values of “Lerner”/Lerner indices, suggesting a benefit from other sources of competitive advantage (such as quality, niche markets, etc.).

scholarly journals Effects of Improved Cassava Varieties on Farmers’ Income in Northern Agro-ecological Zone, Uganda

2021 ◽  
Vol 10 (2) ◽  
pp. 65
Author(s):  
Graceline O. Akongo ◽  
Godfrey A. Otim ◽  
Laban F. Turyagyenda ◽  
Anton Bua ◽  
Alfred Komakech ◽  
...  
Keyword(s):  
Value Chain ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Parameter Estimate ◽  
Ecological Zone ◽  
Gross Margin ◽  
Frontier Analysis ◽  
Fast Tracking ◽  
Cassava Varieties

This paper examines the extent to which improved cassava varieties contribute to improvement in income of smallholder farmers in the Northern agro-ecological zone of Uganda. In order to achieve the objective, data was collected from PRELNOR supported farmers’ fields, other farmers’ fields and baseline cassava fields. Consequently, descriptive statistics, gross margin and stochastic frontier analysis were adopted during analysis. Results from the analysis revealed that higher yields per hectare were registered within PRELNOR supported farmers’ fields and yield from NAROCAS1 surpassed all the varieties (37.3 tons per hectare). Location specific results revealed that Gulu had better yields (34.5 tons per hectare) while Kitgum registered the lowest average (24.1 tons per hectare). Gross margin indicated that every Shilling invested in improved variety earned profit 1.3 to 1.8 times above the local variety and each shillings invested in PRELNOR supported fields generated 5.6 times above the baseline fields. The parameter estimate for profit function revealed that planting material, other production related costs, NAROCAS1, NASE14 and NASE19 were positively correlated with profit but labour and baseline field had negative correlations. Conversely, profit efficiency grew by 40% under improved varieties against local varieties. This study suggests that the difference in yields and profit between locations was caused by biophysical characteristic; disease tolerant varieties can tremendously improve profitability and income; meanwhile the profit gaps were partly attributed to inefficiency. This study recommends fast tracking adoption of pest and disease tolerant varieties and integrated research and development approach throughout the cassava value chain.

scholarly journals ENTERPRISE ASSESSMENT ACROSS CASSAVA WASTE (PEELS) VALUE CHAIN IN OGUN STATE

2021 ◽  
Vol 20 (1) ◽  
pp. 40-55
Author(s):  
V. A. ELEGBEDE ◽  
E. O. A. OLUWALANA ◽  
A. M. SHITTU
Keyword(s):  
Value Chain ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Cooperative Groups ◽  
Credit Access ◽  
Frontier Analysis ◽  
Access To Credit ◽  
Ogun State ◽  
Cassava Peels

In this article, the Enterprise assessment across cassava peels value chain in Ogun State Nigeria is examined. Multistage sampling technique was used to select 180 cassava processors and marketers. Socio-economic data were obtained from respondents with the use of pre-tested questionnaires. Data were analysed using descriptive statistics, budgetary technique, Stochastic Frontier Analysis (SFA) and Student t-test. The study found that majority (84.3% and 52.8%) of processors of cassava peels and marketers were female. In addition, 60.2% of the processors and 51.4% of the marketers had secondary education. The value chain activities carried out by processors were transportation, drying and packaging while marketers transported, packaged and put the peels in storage for future sales. The SFA revealed that cost of labour (p<0.01) and quantity of fresh cassava peels (p<0.01) were the main determinants of output of dried cassava peels by the processors. The inefficiency model revealed that the efficiency of producing dried cassava peels increased with increase in age (p<0.01), credit access (p<0.01), household size (p<0.01) and membership of cooperative society (p<0.01). Furthermore, the cost function revealed that cost of sieving (p<0.05) and depreciation on capital item (p<0.01) increased the production cost of dried cassava peels. The mean technical, allocative and economic efficiency of producing dried cassava peels were estimated as 94%, 83% and 78% respectively. This study concluded that production of cassava peels is efficient and its trade is profitable. The study recommends that cassava processors and marketers should form cooperative groups to increase access to credit for higher output and trade of peels.

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