econometric analysis
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2022 ◽  
Vol 22 (4) ◽  
Author(s):  
Leonid Serkov ◽  
Mikhail Petrov ◽  
Konstantin Kozhov

2022 ◽  
Vol 22 (1) ◽  
pp. 88
Author(s):  
Bishir Abubakar ◽  
Shehu Maibulangu ◽  
Ehiosasu Idusuyi ◽  
Rabiu Madaki ◽  
Ismail Aliyu ◽  
...  

2021 ◽  
Vol 50 (4) ◽  
pp. 1051-1057
Author(s):  
Sunny Sharma ◽  
Vishal Singh Rana

The energy exchange ratio of cultivation and different parameter values of input affecting the organic production of kiwifruit in the mid-hill Himalayan region of India during 2017 and 2018 was determined. The experimental trial was divided into 7 organic treatment i.e. T1 to T3 was sole application on equivalence 100 per cent Dairy manure (DM), Vermicompost (VC) and Poultry manure, T4 to T7 was a compound application of 50: 50 DM: PM, DM: VC and VC: PM and T7 in which DM = PM = VC applied on N equivalence. Five foliar sprays of organic formulation were applied in each of the treatment. The Energy efficiency and econometric analysis of organic kiwifruit production were examined. The highest energy inputs unit per hectare was utilized by T1 out of which over 86 per cent were from organic manure inputs and provided 26401.02 MJ/ha. The highest yield per hectare, as well as the output energy were observed in the treatment T5. Whereas the highest energy ratio, energy productivity, and specific energy were recorded under T2. Likewise, the highest productivity ratio and benefit-cost ratio were recorded under T7 which was followed by T2. From a farming point of view, the T2 gave the superior result because it has provided optimum amount output along with maximum returns. Bangladesh J. Bot. 50(4): 1051-1057, 2021 (December)


Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry

The present study focuses on the D. G. Khan division, which is one of the important divisions of Southern Punjab, Pakistan. Being less developed, this study tries to find out different factors that can contribute to the betterment of this region. The study was based on primary data collected during the year 2019. The findings revealed that human capital is the most significant factor that can contribute to alleviating poverty and promoting the development of the D.G. Khan division.


Author(s):  
Mariya Tsvil ◽  
Ella Guleva ◽  
Margarita Zubkova

The article provides econometric time series models for the volumes of mutual trade of the EAEU member states based on quarterly data from the 1st quarter of 2017 to the 3rd quarter of 2021. An exponential smoothing model and a multiplicative model are built. Also, a forecast was made for the volume of mutual trade in the IV quarter of 2021


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