Literature on the Global Agri-Sectors: An Overview

Satapathy, Suchismita; Mishra, Debesh; Vargas, Anielle de

doi:10.1007/978-3-030-88828-2_2

Cited by 2 publications

(4 citation statements)

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“…Where αi is the fixed effects varying across the cross-section observations, β1, β2, β3, and β4 are the slope parameter. From equation (5) The hypothesis is stated as: H0: no co-integrating equation (ρi = 1) H1: H0 is false i.e ρi < 1…”

Section: Panel Cointegration Testmentioning

confidence: 99%

“…Ethiopia's primary source of income and employment is agriculture. This suggests that development in agricultural efficiency directly influences the welfare of the bulk of the rural poor [5]. The government of Ethiopia has made critical efforts in terms of open investments to speed up the development of agriculture, which implies accelerating financial change [6].…”

Section: Introductionmentioning

confidence: 99%

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Homogeneous and Heterogeneous Effect of Agricultural Inputs on Crop Productivity of The Three-Grain Crop Types in Ethiopia

2023

IHM

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Agriculture is a critical source of food and income, making it a key component of poverty reduction and ensuring food security across the globe. The sector generates 88.8 percent of the trade profit and contributes 36.7 percent of GDP. The purpose of this paper is to identify the homogeneous and heterogeneous effects of agricultural inputs on crop productivity of three-grain crop types in Ethiopia using an appropriate PMG estimator, as well as to evaluate the effect of agricultural input heterogeneity and homogeneity across individual cross-sectional units (crops). The central statistical agency (CSA) provided the data for this study, which covered the entire country from 1990 to 2012 Ethiopian Calendar (E.C). In the long run, the study found that a one percent increase in fertilizer use resulted in a 2.686 percent increase in productivity of grain crops in Ethiopia, while a corresponding increase in improved seed per hectare and land size resulted in a 48.31 percent and 10.58 percent increase in productivity of grain crops per crop type, respectively. As the value of improved seed increased by one percent with a period lag among commercial farmers, the short-term production of cereal crops increased by 30.29 percent. Grain crop productivity improved by 40.6 percent when area increased by one percent at the first difference. The results of this study show that fertilizer use, improved seed use, and cropland size made homogeneous significant contributions to improved grain crop productivity in the long run across all cross-sectional units. However, in the short run, agricultural inputs such as pesticide use and improved seed use made heterogeneous significant contributions to the first lagged value

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Section: Panel Cointegration Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%