Model development for wheat production: Outliers and multicollinearity&lt;br&gt;problem in Cobb-Douglas production function

Enaami, Maryouma; Mohamed, Zulkifley; Ghani, Sazelli A.

doi:10.9755/ejfa.v25i1.9060

Cited by 5 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our Bpessimistic scenario^identifies the year (during the 26-year period) with the greatest losses for each of the four types of disaster; these highest losses are added together and expressed as a percentage of the average production for the province. For resource and input constraints, we used the CobbDouglas production function to simulate and predict their impact on grain production (Gao 2012;Enaami et al 2013). First, all of the indices need to be transformed into dimensionless indices using the following functions:…”

Section: Methodsmentioning

confidence: 99%

Provincial food security in China: a quantitative risk assessment based on local food supply and demand trends

Vitousek

2015

Food Sec.

View full text Add to dashboard Cite

Understanding trends in food supply and demand are of great importance to the maintenance of China's food security. We identified natural disasters (floods, drought, hail and frost), resource constraints, input constraints and growth of food demand as sources of risk, which could cause food insecurity. We therefore conducted an integrated three-step risk assessment, based on the Cobb-Douglas production function and scenario analysis method. The results predict that, irrespective of the total food demand and scenario, China could guarantee more than 90 % food self-sufficiency as long as the identified natural disasters occurred at no more than the historical average for the period 1986-2011. However, in a pessimistic scenario, consisting of the simultaneous occurrence of the worst natural disasters over this period, the consequent annual grain shortfall would put most provinces and cities into the medium or high risk range for food security in both 2015 and 2020. In such a scenario, the current grain stock is only sufficient to buffer China's grain supplies for one year. In most scenarios, 10 of the 13 major grain producing provinces will have the ability to maintain their current food self-sufficiency rates over the next few years, but the food self-sufficiency rates of the more developed provinces and the largest cities will continue to decline, mainly because of the reduction in cultivated land and accelerating urbanization.

show abstract

Section: Methodsmentioning

confidence: 99%

Provincial food security in China: a quantitative risk assessment based on local food supply and demand trends

Vitousek

2015

Food Sec.

View full text Add to dashboard Cite

show abstract

“…Parlinska & Dareev (2011) estimated agricultural production function for Poland and Republic of Buryatia. A simple two-input Cobb-Douglas function was used to estimate production functions for both countries/regions using a time series from 2000-2009. Enaami, Mohamed and Ghani (2013 have shown even more advantages of using Cobb-Douglas function as a basis for production function estimation.…”

Section: Methodsmentioning

confidence: 99%

Technological Progress in Croatian Non-Perennial Agriculture

Herceg¹,

Vrankić²,

Galetić³

2016

JCGIRM

View full text Add to dashboard Cite

Croatian agriculture stagnates over the last quarter of the century. Although it is heavily subsidized and the investment in mechanization was high, Croatian agriculture did not improve its production level, not even after the accession to the European Union. The project of green and blue Croatia, which aim is to connect agricultural production and tourism, did not show significant results import substitution. In this paper non-perennial crops agriculture is analyzed since it forms more than 40% of total agricultural production in Croatia. In order to distinguish the contribution of capital, labour and total factor productivity, a Cobb-Douglas production function is estimated on a panel data set for Croatian non-perennial agriculture in the period of 2008 – 2014. It was discovered that production elasticities do not correspond to the shares of expenditures on labour and capital which is a common production function assumption. Also, it is shown that total factor productivity declines over time, a disinvestment and labour decline caused stagnation of this sector of Croatian economy. A further analysis is made to determine the impact of subsidies and export orientation on TFP and it is found that Croatian agricultural production is affected by export orientation and subsidies, but their impact is almost irrelevant.

show abstract

“…So far, there is no unified measurement method in the academic circle. The existing methods mainly include the production function method [19,20], comprehensive evaluation method [21], index method [22] and non-parametric method. Among them, the production function method has limitations in assuming complete market competition and evaluating single period data; Comprehensive evaluation method and index method have strong subjectivity in the selection of evaluation indicators and the distribution of weight.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial–Temporal Evolution and Sustainable Type Division of Fishery Science and Technology Innovation Efficiency in China

Zhu

Han

2022

Sustainability

View full text Add to dashboard Cite

Science and technology innovation is an important driving force to promote the development of fishery industry, and is very important to improve the quality of fishery development. In this study, the Super-SBM model was used to evaluate the fishery science and technology innovation efficiency of 30 provinces and cities in China (excluding Hong Kong, Macao, Taiwan and Tibet) from 2011 to 2020. Combined with the kernel density estimation, the spatial and temporal differentiation characteristics were analyzed. Then, from the two dimensions of investment scale and innovation efficiency, the sustainable development types of fishery science and technology innovation were classified. The results show the following: (1) From the perspective of efficiency change, the overall efficiency of fishery science and technology innovation in China increased first and then decreased during 2011–2020, but the overall efficiency level was low, and the efficiency difference between regions gradually widened, and the eastern coastal regions became the development core of fishery science and technology innovation. (2) From the perspective of spatial differentiation characteristics, there was a large gap between the coastal and inland areas in China. The high-efficiency areas were mainly concentrated in the coastal provinces and cities, such as Guangdong, Jiangsu, Shandong, Shanghai and Tianjin, showing a decreasing trend from east to west. (3) From the perspective of investment scale and innovation efficiency, the study regions can be divided into four types: leading area, breakthrough area, catch-up area and backward area. This paper mainly calculates the efficiency of fishery science and technology innovation in various regions, and divides the type areas of fishery science and technology innovation and development. According to the advantages and problems of different types of areas, different development strategies and correction measures are proposed, which can effectively improve the efficiency of resource utilization, avoid resource waste and realize the sustainable development of fishery.

show abstract

Model development for wheat production: Outliers and multicollinearity<br>problem in Cobb-Douglas production function

Cited by 5 publications

References 9 publications

Provincial food security in China: a quantitative risk assessment based on local food supply and demand trends

Provincial food security in China: a quantitative risk assessment based on local food supply and demand trends

Technological Progress in Croatian Non-Perennial Agriculture

Spatial–Temporal Evolution and Sustainable Type Division of Fishery Science and Technology Innovation Efficiency in China

Contact Info

Product

Resources

About