scholarly journals Analysis of agricultural economic growth factors based on Cobb Douglas production

2020 ◽  
Vol 189 ◽  
pp. 01002
Author(s):  
You Yang ◽  
Li Yang ◽  
ShouYi Liu

An empirical analysis of agricultural economic growth factors yields the main factors affecting agricultural economic growth. Based on the Cobb-Douglas function, a regression model is established to analyze the impact of production factors such as capital and labor on agricultural economic growth. After empirical analysis, it is concluded that investment is the main factor affecting agricultural economic growth. In some provinces, agricultural economic growth still uses extensive economic growth and belongs to the type of increasing returns to scale. Based on the results, three suggestions are made to promote the steady and rapid growth of the agricultural economy: increase the input of fixed assets in agriculture and attract capital from all walks of life to the agricultural production; optimize the agricultural labor force and increase human resources training; adjust the industrial structure and develop modern agriculture.

Author(s):  
A.A. Mukhin

The article deals with forecasting the values of economic growth factors in a region on the example of the Udmurt Republic. A statistically significant multiple linear regression equation (that explains the dynamics of the gross regional product from the signs-factors) is derived, a factorial forecast is developed and the results obtained are interpreted. Deflation method has been applied to eliminate the impact of price growth and GRP value has been calculated in 2007 prices. On the basis of multiple regression analysis, a matrix of paired correlation coefficients is calculated and informative factors of the model are selected. The significance of paired correlation coefficients is checked. The model is constructed in its natural form with informative factors only. The statistical significance of the regression coefficients is evaluated with the help of the Student's t -criterion, the quality of the equation is estimated through the average approximation error, which confirm the sufficiently high quality of the model. The predicted value of the result is calculated. It was found that if the current trends in the dynamics of these factors persist, we can expect the growth of real (physical volume) GRP over the period 2016-2020 by 26 % or 5.5 % annually, which meets the requirements of economic security of the region. The above information can be used to develop programs of regional economic development and design in the system of state and municipal administration.


2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Adiqa Kiani ◽  
Ejaz Ullah ◽  
Khair Muhammad

The main objective of this study is to investigate the impact of poverty, globalization, and environmental degradation on economic growth in the selected SAARC countries. This study is employed panel Autoregressive Distributive Lag (ARDL) technique for empirical analysis using selected SAARC regions including India, Pakistan, Bangladesh, Nepal and Sri Lanka over the period of 1980 to 2018. Globalization impacts economic growth positively and significantly.  In addition to this the significant negative relationship is found between population and economic growth. The results show that poverty is positively related with environmental degradation. Furthermore, the results indicate that globalization is positively and significantly associated with environmental degradation in the SAARC region. Finally, the results show that urbanization is positive and significantly associated with environmental degradation, which could be the serious concerns for the policy makers to control.


Author(s):  
Kh Uyanayeva ◽  
N Kokov ◽  
T Toguzayev ◽  
M Kuchukov ◽  
F Alibius

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