&lt;b&gt;Forest Dependence and Inequality: An Empirical Study from Community Forests in Kaski, &lt;/b&gt;&lt;b&gt;Nepal&lt;/b&gt;

Chhetri, Bir Bahadur Khanal; Asante, Patrick; Yoshimoto, Atsushi

doi:10.15684/formath.15.004

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…Our ATT e estimates are in line with a recent study by Khanal Chhetri, Asante, and Yoshimoto (2016), who demonstrate, taking a Gini decomposition approach in five CFUGs, that CFs have an equalizing effect on household income distribution in the Nepalese hills. Significant positive ATT e reflects the contribution of the CFP in institutionalizing rules and practices of benefit sharing in an equitable way as provided for in the Community Forestry Directives (MoFSC, 2008).…”

Section: Discussionsupporting

confidence: 90%

The Effect of the Nepal Community Forestry Program on Equity in Benefit Sharing

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Scheller

et al. 2017

The Journal of Environment & Development

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We assessed the effectiveness of Nepalese Community Forestry Program (CFP) in increasing local perceptions of equity in benefit sharing. Our aim is to inform emerging forest policy that aims to mitigate climate change, promote biodiversity conservation, and address poverty and livelihood needs. We collected data from 1,300 households from nationally representative samples of 65 CFP communities and 65 non-CFP communities. By using a robust method of covariates matching, we demonstrate the unique and positive effect of the CFP on perception of equity in benefit sharing at national level and among poor, Dalits, indigenous and womenheaded households and in the hills (except Terai). Our results suggest the need to continue the current benefit-sharing practices in CFP except in the Terai, where such practices need to be reviewed. However, caution should be taken in implementing emerging carbon-focused forestry so that it does not alter the CFP management sufficiently to conflict with equity goals and upend the generally positive effects on equity.

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Section: Discussionsupporting

confidence: 90%

The Effect of the Nepal Community Forestry Program on Equity in Benefit Sharing

Luintel

Bluffstone

Scheller

et al. 2017

The Journal of Environment & Development

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“…Noteworthy are the scientific studies that are directly devoted to solving problems of estimating the unevenness of the components of the project environment for different types of projects using the GINI index. They are represented by Anuja Raj Sharma [31], Sareth Nhem, Young Jin Lee, Sopheap Phin [32], Oliver T. Coomes, Yoshito Takasaki and Jeanine M. Rhemtulla [45], Gródek-Szostak [41], Bir Bahadur Khanal Chhetri, Patrick Asante, Atsushi Yoshimoto [29] and others.…”

Section: Analysis Of Literature Data and Problem Statementmentioning

confidence: 99%

“…Bir Bahadur Khanal Chhetri, Patrick Asante and Atsushi Yoshimoto in China also directly assessed the state of resources on the basis of the Gini coefficient (GC) [29]. They suggested using the Gini coefficient not only in its classical interpretation (when quantifying differences in individual indicators), but also when assessing the structure of rational use of natural resources, the so-called Land Gini coefficient (LGC).…”

Section: Analysis Of Literature Data and Problem Statementmentioning

confidence: 99%

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Assessment of the Condition of the Project Environment for the Implementation of Technologically Integrated Projects of the “European Green Deal” Using Maize Waste

et al. 2022

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In the research carried out by the authors, an approach to the assessment of the project environment of technologically integrated “European Green Deal” projects using corn waste was developed, which takes into account the changing project environment, which determines the risk of the specific cost of disposal of corn waste. On the basis of the predicted approach and the established trends of changes in the specific volume of corn food products from its yield, as well as the specific cost of disposal of corn waste from its specific volume under the condition of maintaining the balance of organic carbon in the fields, a computer program in the Python 3.9 language was developed. The program makes it possible to speed up calculations and perform a quantitative assessment of the state of the project environment in certain regions of the implementation of projects of the “European Green Deal” (TIP of the EGD) using corn waste. An approach to assessing the state of the project environment of TIP of the EGD using corn waste is proposed. A block diagram of the algorithm for assessing the state of the project environment was created, which involves the implementation of ten stages. It provides for determining the dynamics of inequality of individual regions in terms of resource potential for the production of clean energy from corn waste according to the Gini index. The Gini index was used to assess three indicators that take full account of the unevenness and dispersion of raw materials in a given area for the production of clean energy. This provides a preliminary assessment of the risks to stakeholders for stakeholders in technologically integrated projects of the “European Green Deal” using maize waste. Based on the proposed approach, a computer program in Python 3.9 was developed. It provides an opportunity to speed up the calculations and perform a quantitative assessment, according to these indicators, of the state of the project environment in some regions regarding the TIP of the EGD. The uneven distribution of raw materials in the territory of Ukraine for the production of environmentally friendly energy from corn waste and the risk of value for stakeholders were assessed. It is established that in the territory of Ukraine there are nine regions (Dnipropetrovsk, Donetsk, Zaporizhzhia, Kirovohrad, Luhansk, Mykolaiv, Odesa, Kharkiv, Chernivtsi), which do not ensure the preservation of the balance of organic carbon in the fields during long-term cultivation of corn. In addition, four regions of Ukraine (Vinnytsia, Poltava, Kherson, Zakarpattia) have an unfavorable project environment in terms of risk. In these regions, the Gini index exceeds the critical value of the three studied indicators. The Zakarpattia region is the most unfavorable for the implementation of the TIP of the EGD. It is established that the minimum material risk for the implementation of technologically integrated projects with the use of corn waste is observed in three regions of Ukraine (Sumy, Rivne, Ternopil).

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