scholarly journals GLOBAL SOURCING AND TECHNICAL EFFICIENCY – A FIRM-LEVEL STUDY ON THE ICT INDUSTRY IN SWEDEN

2017 ◽  
Vol 18 (5) ◽  
pp. 877-896 ◽  
Author(s):  
Martin ANDERSSON ◽  
Trudy-Ann STONE
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industry ◽  
Management Practices ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficient Production ◽  
Global Sourcing ◽  
Firm Level ◽  
Frontier Analysis ◽  
International Sourcing

We analyse the relationship between international sourcing, measured as imports of intermediate inputs, and the technical efficiency of firms in the information and communications technologies (ICT) manufacturing industry in Sweden. Using stochastic frontier analysis, we provide evidence that global sourcing improves firms’ capabilities to combine and re-combine inputs in productive ways, thereby increasing technical efficiency. We find a robust relationship between technical efficiency and international outsourcing. First, we find that firms that are deeply integrated into global sourcing networks are closer to their own production frontier. Second, firms that are engaged in international sourcing are also closer to the industry efficiency frontier. These findings are consistent with the argument that international sourcing stimulates firms’ capabilities by enabling them to identify and adopt higher quality inputs or more efficient production and management practices. These findings also suggest that the variety and extent of firms’ global sourcing networks constitute an important source of differences in efficiency levels among firms the ICT manufacturing industry.

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 EFISIENSI TEKNIS, PERTUMBUHAN TEKNOLOGI DAN TOTAL FAKTOR PRODUKTIVITAS PADA INDUSTRI MENENGAH DAN BESAR DI INDONESIA

2018 ◽  
Vol 6 (1) ◽  
pp. 1-20
Author(s):  
Muhammad Fazri ◽  
Hermanto Siregar ◽  
Nunung Nuryartono
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industry ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Reform Era ◽  
Frontier Analysis ◽  
Tfp Growth ◽  
Technological Growth ◽  
Before And After ◽  
The Impact

Indonesia's economic growth this decade has good development. Not only growing but also more stable than before the reform era which is visible from the persistence of Indonesia at the level of positive growth during the economic crisis of 2008. Growth was good was followed by a change in the proportion of manufacturing industry in Indonesia which, if seen followed by a decrease in the production of some subsector indices industry. Total factor productivity (TFP) is one measure to look at other factors apart from the impact on production inputs such as technical efficiency and technological growth. In this study, in addition to trying to calculate TFP in some manufacturing industries subsector, in this study also wants to see the value of technical efficiency and the growth of the technology is a component of TFP calculations by the method of Stochastic Frontier Analysis (SFA). The results show that there is growing value of technical efficiency in some industries and most industries experienced relatively low growth of the technology. In the era before and after the crisis most of the industry has increased TFP growth but some industry decreased TFP growth. Keywords: SFA, Technical efficiency, Technological growth, TFP

scholarly journals PENGUKURAN ENVIRONMENTAL TECHNICAL EFFICIENCY INDUSTRI PENGOLAHAN DI JAWA TIMUR TAHUN 2006-2009

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Ratih Twi Septiriana
Keyword(s):  
Technical Efficiency ◽  
Co2 Emission ◽  
Manufacturing Industry ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Hyperbolic Distance ◽  
Environmental Characteristic ◽  
Frontier Analysis ◽  
Desirable Output ◽  
The One

CO2 emission is the greatest source of global warming that poses serious threats on environment, ecology, and socio-economic system. In the production process, CO2 is considered as undesirable output that always risesas long as desirable output is produced. Indonesia, as the one of the biggest emitter of CO2 emission, has been committing in reducing emission up to 26% for 2020. Using panel data, stochastic frontier analysis (SFA) has been used to evaluate the environmental technical efficiency of manufacturing industry in Java on 2006-2009. The translog hyperbolic distance function has been chose since this model can accommodate environmental characteristic of production technology. The empirical result shows the average environmental technical efficiency is 0,834. This study also investigates the factors that explain the level of environmental technical efficiency of firm. The results reveal that there are seven factors that significantly affecting environmental technical efficiency included: firm size, ownership status, foreign investment, type of industry, composition effect, scale effect, and technical effect. The finding of this paper indicate that environmental technical efficiency among manufacturing industry in Java still can be improved by focusing on those seven factor. 

scholarly journals Management Practices And Technical Efficiency of MASIPAG Rice Farmers in Isabela, Philippines

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Jerald Medina Velasco
Keyword(s):  
Technical Efficiency ◽  
Management Practices ◽  
Stochastic Frontier Analysis ◽  
Organic Fertilizer ◽  
Stochastic Frontier ◽  
Farming System ◽  
Household Size ◽  
Frontier Analysis ◽  
Rice Farmers ◽  
Female Farmers

The study was conducted to assess the Management practices and technical efficiency of the MASIPAG rice farmers in Isabela, Philippines. A total of 64 respondents were interviewed. Data were analyzed with descriptive and inferential statistics using Stochastic Frontier Analysis. The data revealed that 82.81% of farmers were male and 17.19 % were female, farmers have an average age of 43.94. The average household size were 5.72, majority of the farmers finished high school, average number of years in farming of 23.84, most of the respondents farmers owned their land that they till, average number of training were 1.06, farmers have an average income of Php 47,687.50. The result showed that the average amount of seed applied by the MASIPAG farmers were 55.66 kilograms per hectare. MASIPAG used organic fertilizer. In terms of managing pest in their production, MASIPAG farmers used natural materials like FPJ, FFA, and FAA. SFA indicated that seeds, fertilizer, pre and post-harvest labor and capital were found to be significant indicators of technical efficiency at 1% level of significance.  Technical inefficiency model showed that age, farming system, household size, educational attainment, number of years in farming, type of soil, crop establishment were found to be significant indicators of technical efficiency for the MASIPAG farmers.

scholarly journals EFISIENSI TEKNIS, PERTUMBUHAN TEKNOLOGI DAN TOTAL FAKTOR PRODUKTIVITAS PADA INDUSTRI MENENGAH DAN BESAR DI INDONESIA

2018 ◽  
Vol 6 (1) ◽  
pp. 1-20
Author(s):  
Muhammad Fazri ◽  
Hermanto Siregar ◽  
Nunung Nuryartono
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industry ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Reform Era ◽  
Frontier Analysis ◽  
Tfp Growth ◽  
Technological Growth ◽  
Before And After ◽  
The Impact

Indonesia's economic growth this decade has good development. Not only growing but also more stable than before the reform era which is visible from the persistence of Indonesia at the level of positive growth during the economic crisis of 2008. Growth was good was followed by a change in the proportion of manufacturing industry in Indonesia which, if seen followed by a decrease in the production of some subsector indices industry. Total factor productivity (TFP) is one measure to look at other factors apart from the impact on production inputs such as technical efficiency and technological growth. In this study, in addition to trying to calculate TFP in some manufacturing industries subsector, in this study also wants to see the value of technical efficiency and the growth of the technology is a component of TFP calculations by the method of Stochastic Frontier Analysis (SFA). The results show that there is growing value of technical efficiency in some industries and most industries experienced relatively low growth of the technology. In the era before and after the crisis most of the industry has increased TFP growth but some industry decreased TFP growth. Keywords: SFA, Technical efficiency, Technological growth, TFP

scholarly journals Technical Efficiency of Manufacturing Enterprises in Libya: A Stochastic Frontier Analysis

2013 ◽  
Vol 5 (2) ◽  
pp. 528-535
Author(s):  
Hodud Essmui ◽  
Madeline Berma ◽  
Faridah Bt. Shahadan ◽  
Shamshubarida Bt. Ramlee
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Manufacturing Firms ◽  
Firm Level ◽  
Frontier Analysis ◽  
Manufacturing Enterprises ◽  
Stochastic Frontier Production Function ◽  
Econometric Approach ◽  
Frontier Production Function

This paper examines the performance of manufacturing firms in Libya. Specifically, it evaluates firm level technical efficiency. The paper uses an econometric approach based on a stochastic frontier production function to analyze 207 firms from survey conducted from March to May 2013. The results from estimations reveal that technical efficiencies of Libyan manufacturing firms ranging from 37.77 percent to 95.27 percent, with an average of 71.27 percent. While, the percent of firms that considered technically efficient is only 17.87 percent of the total firms.

scholarly journals Indonesia Industrial Productivity Growth: Evidence of Re-industrialization or De-industrialization?

2019 ◽  
Vol 27 (2) ◽  
pp. 108-118 ◽  
Author(s):  
Lilik Sugiharti ◽  
Rudi Purwono ◽  
Martha Ranggi Primanthi ◽  
Miguel Angel Padilla Esquivias
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
Technological Progress ◽  
Stochastic Frontier Analysis ◽  
Scale Effects ◽  
Stochastic Frontier ◽  
Output Growth ◽  
Firm Level ◽  
Frontier Analysis ◽  
Skill Intensity

This study employs a Stochastic Frontier Analysis to decompose Total Factor Productivity for the manufacturing corridor of Indonesia. Technological progress, technical efficiency change, and scale effects are captured at a firm level covering all Java provinces from 2007 to 2013. The period is of particular interest as it covers the efforts of re-industrialization under the Master Plan for Acceleration of Indonesian Economy (MP3EI) and the sharp increase-decrease in global demand and global prices. The study captures sources of productivity growth supporting/deterring output growth, differentiating across firm characteristics based on size (large and medium), technology intensity, skill intensity, location (province), and capital-output ratio employed in production. As firms differ in the five elements, productivity and efficiency performance also differ. This paper questions whether productivity growth is limited to conventional sources -input growth and technological progress-, or if manufacturing is managing some gains through non-conventional channels -technical efficiency and scale effects. The paper also questions the presence of patterns in productivity among group firms (characteristics), finding that firms which combine a low-tech level, a higher skill ratio, and are medium in scale reported TFP at least 70 % higher than the average firm. Combinations of firm size, technology, skills, and ratio output affect the performance. Cost analysis of factors of production is also carried out, finding that energy is canceling out possible gains in scale effects by rising disproportionately both in consumption and prices. TFP growth was found to be negative and falling, raising the possibility of a path towards de-industrialization.

scholarly journals Technical Efficiency of Smallholder Tomato Production in Semi-Urban Farms in Cameroon: A Stochastic Frontier Production Approach

2017 ◽  
Vol 7 (4) ◽  
pp. 27 ◽  
Author(s):  
Martin Paul Jr. Tabe-Ojong ◽  
Ernest L. Molua
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Research Question ◽  
Stochastic Frontier ◽  
Negative Influence ◽  
Farm Size ◽  
Primary Data ◽  
Tomato Production ◽  
Frontier Analysis

Agriculture is the mainstay of Cameroon’s economy as it serves the purposes of food, livelihood and employment. Nevertheless, the country’s agriculture is plagued by low productivity and inefficiency in production. One of the main reasons for low productivity is the inability of farmers to fully exploit available technologies and production techniques. An important research question that comes to mind is, what are the major factors that hinder the technical efficiency of smallholder farmers? This study thus aimed to determine the level of technical efficiency in the production of tomato in smallholder farms, relying on primary data collected using a structured survey instrument administered to 80 tomato farmers in the Buea municipality of Cameroon. Data was analyzed using descriptive statistics and a stochastic frontier analysis method in the Cobb-Douglas production function. The STATA.14 software was used to obtain both stochastic frontier estimates and the determinants of technical efficiency. The results indicate that farmers are not fully technically efficient with a mean technical efficiency score of 0.68 with one farmer operating on the frontier. The study also revealed that most of the farmers irrespective of the size of the holdings have shown technical inefficiency problems. The older farmers were observed with the best measures of technical efficiency. Education, age and the adoption and practice of agronomic techniques had a positive and significant influence on technical efficiency while the nearest distance to the extension agent had a rather negative influence on technical efficiency. The input-output relationship showed that the area of tomato cultivation and the quantity of improved seed used were positive and significantly related to output at the 5% level of probability. As a result, it is recommended that farmers should increase their farm size, use of improved seeds and the adoption and practice of novel techniques in production. More emphasis should be placed on extension agents as they have a significant role to play in terms of improving and augmenting farmers’ education and information base through on farm demonstrations and result oriented workshops as all this will ensure increased production and productivity thereby increasing technical efficiency and achieving food self-sufficiency.

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