Cobb-Douglas Production Function Model Research Articles

The efficiency of pig farming inputs in Minahasa Regency of North Sulawesi

The purpose of this study was to analyze the factors influencing the production and the efficiency of pig farming input in Minahasa Regency of North Sulawesi Province. The location was determined using the multistage random sampling method, determining regency, districts, and village, which have the highest pig population in North Sulawesi Province, so that Minahasa Regency, and four selected Districts (Sonder, Kakas, Tombulu and Tombariri), then 2 villages/district were taken. The sample was determined using a simple random method by taking 25 farmers in each district so that the total sample was 100 pig farmers, then the data was taken in January-July 2019. Variables measured were the number of pig production, the number of sows, the number of piglets, the number of feed (corn, concentrate, rice bran) and the number of labor. Data were analyzed using the Cobb-Douglas production function model with multiple linear regression and marginal product values calculations. The results showed that the efficiency of pig farming inputs was larger than one, meaning it was inefficient. This condition is still possible to increase pig production by increasing the number of sows, the number of piglets, the number of feed (corn, bran, concentrate), and the number of labor.

Projected Food-grain Production and Yield in India: An Evidence from Statewise Panel Data Investigation during 1977-2014

Purpose : This study examines the impact of climatic change on food-grain production and yield using state-wise panel data during 1977-2014 in fifteen Indian states. Accordingly, it estimates the projected food-grain production and yield by the years of 2040, 2040, 2060, 2080 and 2100. Finally, it provides the effective practical and effective policy suggestions to reduce the climate change impact on food-grain farming based on existing studies. Research Method : Regression coefficients of food-grain production and yield with climatic and non-climatic factors are estimated using Cobb-Douglas production function model. Marginal impact analysis method is used to examine the projected food-grain production and yield. Findings : Empirical results infer that most climatic factors have a negative impact on food-grain production and yield in different weather seasons. Projected results are suggested that food-grain production is expected to be declined by 5.25%, 6.64%, 8.03% and 9.57% by 2040, 2060, 2080 and 2100 respectively. Food-grain yield is likely to be decreased by 1.05%, 1.96%, 2.87% and 5.07% by the aforesaid years. Research Limitations : This study could not capture impact of inter-states disparities in socio-economic condition of farmers, geographical conditions, agriculture policies and public spending on agriculture and rural development on food-grain production and yield. It also could not include factors such as solar radiation, sun intensity, wind speed and heat wave in empirical investigation. Originality/ Value : It compiles state-wise panel of food-grain production and yield as dependent variables, and climatic variables and non-climatic factors as explanatory variables during 1977-2014. It examines the projected food-grain production and yield.

Research on the Impact of Standardization on Economic Growth

The relationship between standardization and economic growth has received increasing attention. This article first gives different classifications of standards, including classification based on economic purposes. The analysis shows that standards have economic effects in reducing information asymmetry, promoting economies of scale, expanding division of labor, and accelerating technology transfer and diffusion. The research literature of foreign standards on economic growth shows that standards are an important factor in promoting economic growth. Empirical results (mainly based on the Cobb-Douglas production function or VAR model) show that there is a significant positive correlation between standards and economic growth, and standards can effectively promote Economic growth. In addition, the Granger causality test between the standard and economic growth points out that economic growth is the Granger reason for the standard, indicating that the standard is not an exogenous variable independent of the economic system, and the standard level is affected by the economic level of a country. It is an endogenous variable determined by the economic system. At the end of the article, it also gives suggestions on possible future research directions, from the perspectives of the impact of splitting to standard sub-categories, management standards, economic growth quality, and institutional economics.

한국 방위산업의 수출 성장 방향에 관한 실증연구

This study is about the direction of growth in Korean defense industry Exports. South Korea's defense industry has grown over the past 50 years, and “Defense Reform 2.0” recognizes the defense industry as one of the ways for strengthening defense capabilities. However, it is also true that the defense industry is suffering from falling sales and the global economic downturn. As overseas demand grows, it is timely to examine the gap between export policy and reality. After then, it is necessary to discuss the direction of growth. Unlike previous studies, this study conducted empirical analysis on the growth of Korean defense industry exports using economic analysis models that take into account supply and demand aspects based on time series data. In other words, the decision factors were set and models were constructed based on the Cobb-Douglas production function and Mundell-Fleming model. As a result of the analysis, the factors that significantly affect the growth of Korean defense industry exports were the number of workers in the defense industry, world military expenditure, real effective exchange rate and economy crisis. The implications were divided into the government and the defense industry. If the policy and management direction are set based on the analysis and implications of this study, it is expected that Korean defense industry exports will continue to grow.

Analysis of technical efficiency among rice farmers in Ebonyi State of Nigeria: A stochastic frontier approach

This paper analysed the technical efficiency of rice farmers in Ebonyi State, Nigeria. It specifically analysed the levels and determinants of technical efficiency. A multistage sampling technique was adopted for sample selection. A total of 150 well-structured questionnaires were distributed but only 91 were returned. The Cobb-Douglas production function model was used to predict the farm level technical efficiency. Results from the Cobb- Douglas Regression showed a sigma square (σ2) of 0.06584 which was statistically significant at 1 percent. The technical efficiency scores among the rice farmers ranged from 0.012 to 1.000 with a mean of 0.350. Farm size, quantity of rice seedlings, quantity of fertilizer and quantity of agrochemical all were showed positive correlation with coefficients of 0.93511, 0.08310, 0.11200 and 0.14345 respectively while farm labour showed a negative correlation with technical efficiency. The determinants of technical inefficiency were age, household size and extension visits. This paper advocates the strengthening of existing extension system for timely sourcing of highly improved rice varieties and subsidized fertilizer. There is the need to enhance farmers’ technical efficiency through adequate training on optimum input mix.
 Keywords: Rice production, technical efficiency, cobb-douglas production function

FAKTOR-FAKTOR YANG MEMPENGARUHI RISIKO PRODUKSI USAHATANI KANGKUNG DARAT DI DESA WARU KECAMATAN MRANGGEN KABUPATEN DEMAK

Ground water spinach (Ipomea reptana) is one type of horticultural commodity that can contribute to national development in order to realize community welfare, including for the fulfillment of nutrition for the community as a complement to four healthy five perfect foods, besides that ground water spinach can also be potential and prospective if made a business because cultivating ground water spinach is easy and simple. The purpose of this study is to analyze the factors that influence the risk of production of ground water spinach farming and this study was conducted in Waru Village, Mranggen District, Demak Regency. The sampling technique is by using quota sampling by taking a sample of 50 farmers, where this sample can meet the criteria of quota sampling. The quota sampling criteria used were respondents who conducted ground water spinach cultivation. The method of analysis uses production risk analysis with the Just and Pope model based on the Cobb-Douglas production function model, where Just and Pope is used to determine the effect of the use of production factors on production risk as indicated by variations in output productivity. The results of research that have been carried out that the factors of production that affect the risk of production of kangkung inland farming significantly affect the risk of production are seeds by 0.0569 with a coefficient of 0.0573.

The Application of Douglas Production Function in Urban Local Economic Growth Management Under Computer Big Data

Cobb Douglas production function also has unique advantages in quantitative analysis of the factors that influence urban economic growth, as well as the short-term and long-term effects and adjustments of various resource inputs on urban economy. Cobb Douglas production function combined with computer technology, the data analysis is more targeted. Therefore, it has been more and more widely used in the study of urban local economic growth management. This paper first analyzes the cobb-douglas production function theory, and then studies the practical application of the cobb-douglas production function model in urban local economic growth. Finally, through the estimation and adjustment of the Cobb Douglas production function model with computer technology, the influence and effect of different variables on the local economic growth of the city were analyzed.

Population Employment Environment of Coastal Urban Population and Economic Structure Growth of Coastal Cities

Song, L.; Zhang, L., and Wang, S., 2020. Population employment environment of coastal urban population and economic structure growth of coastal cities. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 134–138. Coconut Creek (Florida), ISSN 0749-0208.Because the problems in the economic system of coastal cities are becoming more and more prominent, in order to promote the sustainable development of the economic structure of coastal cities, this paper puts forward the impact analysis of the population employment environment and economic structure growth in coastal cities. First, describe and analyze the population employment situation and demographic factors that affect the growth of economic structure in coastal cities. Then, through discussing the development of relevant economic elements in coastal cities, master the overall situation of population employment and economic structure growth in coastal cities. Using the modified Cobb-Douglas production function model and 10-year data, this paper makes an empirical analysis on population employment and economic indicators in coastal cities, and concludes that the results of coastal cities, continental cities and desert cities all belong to increasing remuneration type.

An economic assessment of fish polyculture as an adaptation strategy against environmental change in the southwest coastal region of Bangladesh

ABSTRACT The paper reports an evaluation of the effectiveness of fish polyculture as an adaptation strategy against environmental change in the southwest coastal region of Bangladesh. The research applies descriptive statistics, Cobb–Douglas production function model, and priority index. Simple random and convenient sampling techniques have been used to select sample and study area, respectively. The study shows that fish polyculture is economically viable and profitable. Besides, pond size, labour, and fertiliser have a significantly positive association (p < 0.05) with fish production. Virus-related mortality, salinity level, access to loans, and shrimp seedling prices are notable constraints on the fish polyculture system.

Spatial effects of transport infrastructure on regional growth: the case of Turkey

The provision of infrastructure is an important policy tool for promoting regional growth and reducing regional disparities. The main reason underlying this approach is the view that transportation promotes mobility, mobility promotes trade, and trade promotes economic growth. Based on this view, Turkey has invested in transportation infrastructure to reduce the regional economic inequalities since the 1960s. Between 2004 and 2014, governments have expended approximately 65 billion dollars for road infrastructure only. We believe that investigating the recent improvements in road infrastructure with a spatial perspective in an emerging economy as Turkey is necessary to generate more effective and practical regional policies. This study attempts to measure the latest developments of transportation infrastructure by analyzing the spatial effects of road transport infrastructure on regional economy in Turkish NUTS 2 regions between 2004 and 2014. We employ an augmented Cobb–Douglas production function model and use spatial Durbin model to estimate spatial effects. Apart from previous studies that employ spatial econometric models, we create a different spatial weight matrix for each year based on inverse distance to capture the change between the years 2004 and 2014. The results reveal that road infrastructure investment has significant and positive spatial spillover effects on regional growth. Any improvement in road transport infrastructure in a region causes a GDP increase in neighboring regions. Essentially the findings expose the importance of indirect effects of road transport infrastructure and contradict with previous non-spatial and overestimated effect results in the literature.

Factors Affecting Corn Farming Production in Lasalepa Sub-District Muna District

The objective of this research was to analyze the factors that affect the corn production in Lasalepa Sub-District, Muna District. This research was conducted in January - March 2020 in Lasalepa Sub-District, Muna District where the majority of farmers were engaged in corn farming. The primary and secondary data were collected through interview and literature study. The data analysis in this research employed regression equation using Cobb-Douglas production function model and a storage test against the classical assumptions which included multicollinearity and heteroscedasticity tests. Based on the results of regression analysis in this research, it can be concluded that the factors that significantly affected farmers' production were land area (X1) and seed (X4). According to the results of the research, it is necessary to add and reduce the factors of corn farming production in order to obtain profitable and optimal farming results. Furthermore, the role of government is also needed in terms of providing input subsidies so that farmers can use more inputs to increase their production.

Effect of Credit on Cassava Productivity in Kintampo South District Using Cobb-Douglas Production Function Model

The study estimated the effect of credit on cassava productivity in Kintampo South District using Cobb-Douglas Production function model. Primary data was collected from 60 small- scaled cassava farmers while secondary data was gathered from literature. Snowball sampling technique was used to obtain the sample size of 60 small-scaled cassava farmers. Data obtained were analyzed using descriptive statistics and Cobb-Douglas Production function model. Results from the study showed that majority of the farmer’s accessed credit from VSLA groups. The study found that, credit has significant effect on cassava output level with an elasticity of 1.83 implying that a percentage increase in credit supply will lead to 1.83 % increase in cassava output. The study concludes that, the output of cassava could be increased considerably by obtaining credit. The study recommends the Ministry of Agriculture to use VSLA groups as vehicle of administering loans/credit to small-scaled farmers to increase productivity of farmers. Secondly, small-scaled farmers in Kintampo South District should be part of VSLA and other co-operate groups to acquire credit which will enable them purchase necessary input required for cassava farming activities.

The effects of seasons on chrysanthemum flower (Chrysanthemum indicum) production in Sleman Regency, Yogyakarta, Indonesia

Chrysanthemum is a type of cut-flower that has commercial value and popular in Indonesia. Economically, Chrysanthemum has the potential for the export commodities and expected to increase in the future. One fruitfulness factor of Chrysanthemum cultivation is determined by season. The risk factors of Chrysanthemum production need to be studied, particularly season factor. This research aims to find out the optimum season for Chrysanthemum production and how to anticipate the impacts of climate change or seasonal factors on Chrysanthemum flower production and to discover the main factors of Chrysanthemum production. The research was carried out in Sleman Regency. The analytical method used was the Cobb-Douglas production function model. The results show that seasons affected Chrysanthemum flower production. The highest Chrysanthemum production occurred in the dry season. It is better for the farmer to cultivate Chrysanthemum in the dry season to reduce the risk of production. Protection houses are needed to protect plants from excessive heat intensity and strong winds during the rainy season as the impacts of climate change.

PENGARUH MODAL DAN TENAGA KERJA TERHADAP PRODUKSI KOPI PROSES JENIS ROBUSTA DAMPIT

Coffee has a superior product potential and with the existence of this farming business is quite helpful in terms of employment and reducing the unemployment rate. And efforts to increase coffee farmers' incomes are goals that must be achieved. This study aims to determine how much influence the variables that can affect the production of Robusta coffee. In this study using a questionnaire method. The sampling technique used was positive sampling with 37 farmers who were able to process coffee well. Based on the regression analysis of the Cobb-Douglas production function model that explains LnQ = LnA + αLnK + βLnL shows the variable capital (6,555) and labor (2,055) in one season has a significant effect on coffee production. Every 1% increase in land area will increase coffee production by 6.555%. Every increase of labor by 1% will cause an increase in coffee production by 2,055%. Statistical analysis shows the coefficient of determination (R2) is 0.58 and the value of the F-statistic test probability is significant at α= 5%

Study on factors affecting corn yield based on the Cobb-Douglas production function

This paper presents an analysis of the quantitative correlations between corn yield and its influencing factors in Daqing City, China by establishing a Cobb–Douglas production function model. The effective precipitation, corn planting area and chemical fertilizer and pesticide application rates were selected as the influencing factors of corn yield. Using the Cobb–Douglas production function model, the output elasticity and degree of influence for each factor on increasing grain yield were calculated. The current fertilizer and pesticide application rates, effective precipitation and planting area had positive effects on increasing corn yield, and the Daqing City area has the potential to produce more corn. Among the four influencing factors, the amounts of pesticide applications had the greatest impact on corn yield, followed by planting area, amounts of chemical fertilizer applications and, finally, effective precipitation. In this study, we used remote-sensing images combined with meteorological station data to calculate the effective precipitation in corn fields in Daqing City. The accuracy of this method was 0.01%–11.0% greater than that of the traditional effective precipitation calculation method. The innovation was the use of Thiessen polygons to calculate regional precipitation by combining satellite images with ground meteorological station data. The insufficient sensitivity of satellite inversion for precipitation (short and heavy rainfalls cannot be detected) and insufficient temporal resolution were avoided by using precipitation data from ground meteorological stations. Using satellite image interpretations, the weight coefficient of precipitation could be confirmed according to the location and size of the study area, improving the accuracy of Thiessen polygons in calculating regional precipitation. However, this method still has limitations. When calculating precipitation over a short time, it can be limited by the cloudiness of satellite images. When calculating the long-term precipitation trend, it can be limited by incomplete precipitation data from surface meteorological stations.

Are information and communication technologies (ICTs) displacing workers? The relationship between ICT investment and employment

This study examined how information communication technologies (ICT) investment affected sales and employment at 76 small and medium-sized Korean companies during 2009–2013. Especially, this study investigated the effects of ICT investment on sales in general and by subsets of investment in hardware, software, and ICT staff. Studies normally assumed a standard Cobb-Douglas production function, and measured variables in logarithms. In line with previous studies, we assumed that firms produced output, performance, or productivity via a Cobb–Douglas production function model with inputs capital and labor. We then suggested a new model that could be incorporated into the production function above to estimate the effect of the interaction between ICT investment and labor on sales. This study found that hardware investment complemented labor in increasing performance, whereas investments in software and ICT staff substituted labor. These results show that ICT investment might affect firm-level employment, and what business managers must consider insofar as each subset of ICT investment exerts differing effects on firm-level employment. This study also found that the effect of ICT investment on firm-level employment might be more pronounced among smaller firms and firms outside the IT industry. This study also demonstrated that ICT investment complemented labor and that the effects differed for specific types of ICT. This study can help managers respond to the challenges of ICT investment or employment, and provides a framework for analyzing the strategic significance of ICT investment and employment.

The Effect of Farmers Education on Farm Productivity: Evidence from Small - Scale Maize Producing Farmers in North Bench District, Bench Maji Zone

The educational system in Ethiopia is differentiating by low participation rates, particularly in rural areas. The agriculture productivity and income of rural famer is increased by farmer education (formal and informal education). The objective of this study is to examine the effect of farmer education on farm productivity of small-scale maize producing farmers. Cross-sectional data has been collected from 200 maize producing farmers by Semi-Structured questionnaire. Cobb-Douglas production function model has been used to analysis the effect of farm education on farm productivity by including the education level as input of production. The main finding of the study was that higher education contributes to productivity. Extension contact service is also positive effect on farm productivity even though the coverage is very low. Thus, the study conclude that formal schooling opens the mind of farmers to adapt new farm technology , non- formal education propose the farmer to better method of farming , and informal education keeps the farmer on changing ideas among each other. Therefore, this study recommended that to increase their productivity the farmers in the district should have required skills and knowledge in modern farming method and use of modern farm inputs. Keywords: Cobb- Douglas production function model, Education, productivity DOI : 10.7176/RHSS/9-17-04 Publication date :September 30 th 2019

Optimization of Cobb-Douglas production functions

The purpose of this research is to know simultaneously from the influence of working capital, land area and labor. This analysis uses descriptive quantitative research methods. The data used is secondary data from the research conducted by Suryati. The data were analyzed using the Cobb-Douglas production function and estimated its parameters using Gauss Newton-Nonlinear Least Square. the optimum production function can be obtained by minimizing the function constraints, therefore the Lagrange method is used to obtain the minimum constraint function. In the results of the research it was found that the input elasticity of land area and labor affected production output. Model of Cobb-Douglas production function in onion production in Sakuru Village, Monta District, Bima Regency is . The maximum production can be achieved with a land area of 13.19 acres and a workforce of 6 people.

A Study of the Contribution of Information Technology on the Growth of Tourism Economy Using Cross-Sectional Data

Information technology (IT) has dramatically changed tourism industry, particularly in facilitating and improving information discovery and dissemination in tourism industry. Prior research has identified the key role that IT plays in the development of tourism industry. However, IT is examined solely, while other factors that drive the development of tourism industry are neglected in these studies. Guided by the new economic growth theory, this paper integrates fixed capital, labor, and IT and further examine how they together affect the development of tourism industry. Based on the cross-sectional tourism data of 2014 in 30 provinces in China, this article runs gray correlation analysis first and then applies a Cobb-Douglas production function model. The results indicate that fixed capital, labor, and IT are all correlated with the total tourism revenue at a certain degree, and that the development of tourism industry replies more on labor and IT than on fixed capital. Labor is the factor that makes the largest contribution to the development of tourism industry.

Spatial Evolutionary Pattern and Regional Innovation Efficiency of European Union

By method of standard deviation ellipse(SDE), this paper analyzes and visualizes the spatial evolutionary pattern of EU’s regional innovation activity from 1995 to 2013 compared with economic development. Then Based on EU members’ panel data, using the logarithmic Cobb-Douglas production function model of stochastic frontier analysis (SFA) to estimate the regional innovation efficiency of EU members and its trend. The results show that (1) the spatial center of the EU’s innovation SDE is moving eastward. The role of agglomeration effect generated by Western and the Nordic Euro region is weakened while the impact of Eastern Euro is enhancing;(2) from 2002 to 2012, the whole average regional innovation efficiency of eu members decline. (3) the both R&D inputs plays positive role in regional innovation efficiency and the role R&D investment fund is dominant