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Ehsan Elahi

Bio: Ehsan Elahi is an academic researcher from Shandong University of Technology. The author has contributed to research in topics: Business & China. The author has an hindex of 18, co-authored 59 publications receiving 914 citations. Previous affiliations of Ehsan Elahi include China Agricultural University & Nanjing University of Information Science and Technology.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: In this paper, a survey of 1232 wheat growers from Pakistan, conducted in April and May of 2019, was used to estimate the production risk of wheat farms to weather shocks and the effectiveness of physical, non-physical, and innovative management strategies for reducing crop damages.

237 citations

Journal ArticleDOI
TL;DR: In this article , an extension of the Theory of Planned Behaviour (TPB) was used to evaluate farmers' intentions to install a photovoltaic (PV) water pump in rural Pakistan and the farmers willingness to pay extra for green electricity.

156 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed farmers' access to and use of farm advisory and financial services, its impact on wheat productivity and barriers to their access and found that farmers rely more on informal sources for agricultural advisory and credit services than public or private sources.

133 citations

Journal ArticleDOI
TL;DR: In this article, the authors used the theory of planned behavior to determine farmers' cognitive and socio-psychological behavior to use improved grassland and found that a favorable attitude was found to use improving grassland, which is emerged from beliefs.

127 citations

Journal ArticleDOI
TL;DR: A lack of education and awareness about the appropriate and safe use of agrochemicals are the main reasons for the overutilization of pesticides and for the negative consequences on human health.

120 citations


Cited by
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Christopher M. Bishop1
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

10,141 citations

Book ChapterDOI
01 Jan 1998

885 citations

Posted Content
01 Jan 1995
TL;DR: In this article, the potential applicability of frontier methods in agricultural economics is discussed, along with the construction of technical, allocative, scale and overall efficiency measures relative to these estimated frontiers.
Abstract: In this paper recent developments in the estimation of frontier functions and the measurement of efficiency are surveyed, and the potential applicability of these methods in agricultural economics is discussed. Frontier production, cost and profit functions are discussed, along with the construction of technical, allocative, scale and overall efficiency measures relative to these estimated frontiers. The two primary methods of frontier estimation, econometric and linear programming, are compared. A survey of recent applications of frontier methods in agriculture is also provided. (This abstract was borrowed from another version of this item.)

821 citations

Posted Content
TL;DR: In this paper, the authors focus on three environmental impacts particularly influenced by population age-structure, including carbon emissions from transport and residential energy and electricity consumption, as well as aggregate carbon emissions for a panel of developed countries, and take as their starting point the STIRPAT framework.
Abstract: We focus on three environmental impacts particularly influenced by population age-structure—carbon emissions from transport and residential energy and electricity consumption—as well as aggregate carbon emissions for a panel of developed countries, and take as our starting point the STIRPAT framework. Among our contributions is to further disaggregate population into three particularly key age groups: 20-34, 35-49, and 50-64, and by doing so demonstrate that population’s environmental impact differs considerably across age-groups, with the older age-groups (ones typically associated with larger households) actually exerting a negative influence. Furthermore, those age-specific population influences are different (in absolute and relative terms) for the different environmental impacts we analyze. Also, we find that urbanization, in developed countries, best measures access to a country’s power grid, and thus, is positively associated with energy consumption in the residential sector. Lastly, we suggest some modelling and methodological improvements to the STIRPAT framework.

388 citations

Journal ArticleDOI
TL;DR: This review discussed classification, mechanisms, benefits and adverse effects of the pesticides on both human beings and the environment, and some remedial measures to mitigate their toxicity.

373 citations