Socio-economic Dimension of Snow and Glacier Melt in the Nepal Himalayas

2014 ◽  
pp. 191-199 ◽  
Author(s):  
Narayan P. Chaulagain
Keyword(s):  
Economic Dimension ◽  
Glacier Melt

Bhaktapur Tourism

2020 ◽  
Vol 3 (1) ◽  
pp. 29-55
Author(s):  
Bharat Prasad Badal
Keyword(s):  
Sustainable Development ◽  
Gender Equity ◽  
Questionnaire Survey ◽  
Sustainable Tourism ◽  
Tourism Development ◽  
Social Dimension ◽  
Multiple Sources ◽  
Economic Dimension ◽  
Sustainable Tourism Development ◽  
One Year

Development in this age of sustainable development is sustainable development itself and tourism development is sustainable development of tourism. The present paper investigates the development of tourism from the socio economic indicators of sustainable tourism of Bhaktapur. Bhaktapur is an open museum and central hub of Tourism. To explore the Economic dimension of Bhaktapur Sustainable Tourism Development through Employment that focuses Number, type and duration of jobs, Gender equity, Business viability, Expenditure, Arrivals, Profitability, and Satisfaction. And to analyze the Social dimension of Bhaktapur Sustainable Tourism Development through Quality of Life that focuses Resident Empowerment, Congestion and crowding, Community attitudes to tourism, Access to amenities, and Changes in crime rate, the study has been conducted. The primary information is based on multiple sources of societal learning like field visits in course of doing researches, observation of various sites, General Household Questionnaire Survey, focus on group discussions, interactive seminars and a number of interactions and interviews with the experts of tourism sector in Bhaktapur. General Household Questionnaire Survey of purposively selected cluster of Dattatraya Square area was conducted on 157 households. Among five clusters Dattatrya Square was purposely selected for the study. Actual spending and length of stay of foreign tourists have been increasing in Nepal. Altogether from socio economic perspective 13 programsare recommended from the study to the local government of Bhaktapur Dattatrya. It needs around265 lakhs and timeline is not more than one year. Five times of these 13 projects and 265 lakhs can double the visitors in coming years.

Environmental Scanning for Organisational Effectiveness: A Study of Select MSMEs of Jammu and Kashmir, India

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Vinay Chauhan ◽  
Sushma Kaushal
Keyword(s):  
Organizational Effectiveness ◽  
Business Environment ◽  
Two Dimensions ◽  
The State ◽  
The Other ◽  
Political Environment ◽  
Environmental Scanning ◽  
Jammu And Kashmir ◽  
Economic Dimension ◽  
The Impact

Environmental scanning yields greater anticipatory management that provides important inputs for aquitision and use of information for planning and designing organization strategies. Apart from this, effective environmental scanning activities are likely to deal with threats and grasp the opportunities to finally link with enhancing organizational effectiveness. In fact this relationship matrix has led the researchers to conduct an environmental scanning through an examination of the existing status the components of the macro-environment vis-a-vis their relationship with the organizational effectiveness. There are a number of approaches, which describe the macro-environment, of which PEST analysis is regarded as the most common approach for considering the external business environment. Thus, the present study applies PEST analysis to scan the existing business environment. Jammu and Kashmir due to its peculiar political, geographical, economic, and socio-cultural features, had led its cost mountain economy become a distinctive identity. Despite the fact that the state has rich endowments, international relations with its neighbours vis-a-vis its impact on political environment also pose developmental challenges for the business units operating in the state. This has provided valid rationale for conducting the present. The environmental scanning is done through the perception of the select entrepreneurs operating MSMEs in the state of J & K. An impact analysis of environmental factors (PEST) on the organizational effectiveness is also done in the study. The findings of the study show that the political environment of the state that is not favourable for entrepreneural development whereas the rest of the other drivers of PEST i.e. economic environment, socio-cultural environment, and technological environment show a favourable response of the entrepreneurs. In terms of cause and effect relationship, it is found that the first two drivers of the PEST i.e. political and economic dimension impacts OE positively whereas the other two dimensions namely socio-cultural and technological impacts OE negatively but it is pertinent to mention that the impact is very less and is insigninificant. The study also suggests some of strategic options for developing and creating an enabling environment for successful entrepreneurial development to achieve integrated development of the state.

UNCERTAINTY FROM CLIMATE FORCING OF PROJECTIONS IN GLACIER MELT FOR HIGH MOUNTAIN ASIA

2018 ◽  
Vol 74 (4) ◽  
pp. I_211-I_216
Author(s):  
Megumi WATANABE ◽  
Aki YANAGAWA ◽  
Yukiko HIRABAYASHI ◽  
Satoshi WATANABE ◽  
Akiko SAKAI ◽  
...  
Keyword(s):  
Climate Forcing ◽  
High Mountain ◽  
Glacier Melt

Spatial Voting Models of Party Competition in Two Dimensions

2019 ◽  
pp. 186-207
Author(s):  
James F. Adams
Keyword(s):  
Government Intervention ◽  
Income Redistribution ◽  
Two Dimensions ◽  
Party Competition ◽  
Economic Dimension ◽  
Spatial Voting ◽  
Policy Debates ◽  
Voting Models ◽  
Western Democracies

This chapter broadly surveys spatial voting models of party competition in two dimensions, where, in Western democracies, the first dimension is typically the left-right dimension pertaining to policy debates over income redistribution and government intervention in the economy. The second dimension may encompass policy debates over issues that cross-cut the left-right economic dimension, or it may encompass universally valued “valence” dimensions of party evaluation such as parties’ images for competence, integrity, and leadership ability. The chapter reviews models with office-seeking and policy-seeking parties. It also surveys both the theoretical and the empirical literatures on these topics.

scholarly journals A Perspective of the Cumulative Risks from Climate Change on Mt. Everest: Findings from the 2019 Expedition

2021 ◽  
Vol 18 (4) ◽  
pp. 1928
Author(s):  
Kimberley R. Miner ◽  
Paul Andrew Mayewski ◽  
Mary Hubbard ◽  
Kenny Broad ◽  
Heather Clifford ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Pollution ◽  
Scientific Data ◽  
Human Waste ◽  
National Geographic ◽  
Glacier Melt ◽  
Cumulative Risks

In 2019, the National Geographic and Rolex Perpetual Planet Everest expedition successfully retrieved the greatest diversity of scientific data ever from the mountain. The confluence of geologic, hydrologic, chemical and microbial hazards emergent as climate change increases glacier melt is significant. We review the findings of increased opportunity for landslides, water pollution, human waste contamination and earthquake events. Further monitoring and policy are needed to ensure the safety of residents, future climbers, and trekkers in the Mt. Everest watershed.

scholarly journals The Intra-EU Value Chain: An Approach to Its Economic Dimension and Environmental Impact

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 54
Author(s):  
Óscar Rodil-Marzábal ◽  
Hugo Campos-Romero
Keyword(s):  
Environmental Impact ◽  
Co2 Emissions ◽  
Value Chain ◽  
Positive Impact ◽  
Value Added ◽  
Kuznets Curve ◽  
Output Analysis ◽  
Economic Dimension ◽  
Development Levels ◽  
European Economies

This paper aims to analyze the economic dimension and environmental impact of intra-EU value-added generation linked to global value chains (GVCs) through input-output analysis. For this purpose, information has been collected from TiVA (Trade in Value Added, OECD) and Eora databases for the years 2005 and 2015. From an economic perspective, the results point to a strengthening of the value-added generated within Factory Europe. From an environmental perspective, all EU28 members have reduced their exports-related impacts in intensity-emissions terms, but not all of them in the same degree. An approach to the environmental Kuznets curve (EKC) has also been carried out through a panel data model. The results show a positive impact of the participation in intra-EU value chain (Factory Europe) on CO2 emissions per capita. Further, an inverted U-shaped curve for CO2 emissions is found for the period 2005–15. In this sense, European economies with lower development levels (many Eastern and Southern countries) seem to be still on the rising segment of the curve, while the more developed ones seem to be on the decreasing segment. These results highlight the need to design global monitoring and prevention mechanisms to tackle growing environmental challenges and the need to incorporate specific actions associated with the GVCs activity.

scholarly journals Quantifying the overall effect of artificial glacier melt reduction in Switzerland, 2005–2019

2021 ◽  
Vol 184 ◽  
pp. 103237
Author(s):  
Matthias Huss ◽  
Ursina Schwyn ◽  
Andreas Bauder ◽  
Daniel Farinotti
Keyword(s):  
Glacier Melt

scholarly journals Coopetitive Nature of Energy Communities—The Energy Transition Context

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 931
Author(s):  
Karolina Mucha-Kuś ◽  
Maciej Sołtysik ◽  
Krzysztof Zamasz ◽  
Katarzyna Szczepańska-Woszczyna
Keyword(s):  
Large Scale ◽  
Local Level ◽  
Energy Transition ◽  
Building Energy ◽  
Energy Sector ◽  
The European Union ◽  
Energy Transformation ◽  
Pilot Projects ◽  
Economic Dimension ◽  
Self Sufficiency

The decentralization of the large-scale energy sector, its replacement with pro-ecological, dispersed production sources and building a citizen dimension of the energy sector are the directional objectives of the energy transformation in the European Union. Building energy self-sufficiency at a local level is possible, based on the so-called Energy Communities, which include energy clusters and energy cooperatives. Several dozen pilot projects for energy clusters have been implemented in Poland, while energy cooperatives, despite being legally sanctioned and potentially a simpler formula of operation, have not functioned in practice. This article presents the coopetitive nature of Energy Communities. The authors analysed the principles and benefits of creating Energy Communities from a regulatory and practical side. An important element of the analysis is to indicate the managerial, coopetitive nature of the strategies implemented within the Energy Communities. Their members, while operating in a competitive environment, simultaneously cooperate to achieve common benefits. On the basis of the actual data of recipients and producers, the results of simulations of benefits in the economic dimension will be presented, proving the thesis of the legitimacy of creating coopetitive structures of Energy Communities.

scholarly journals Detecting Tourism Typologies of Regional Destinations Based on Their Spatio-Temporal and Socioeconomic Performance: A Correlation-Based Complex Network Approach for the Case of Greece

2021 ◽  
Vol 2 (1) ◽  
pp. 113-139
Author(s):  
Dimitrios Tsiotas ◽  
Thomas Krabokoukis ◽  
Serafeim Polyzos
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Community Detection ◽  
Optimization Algorithm ◽  
Spatial Dimension ◽  
Economic Dimension ◽  
Complex Network Analysis ◽  
Time Period ◽  
Time Patterns ◽  
Spatio Temporal

Within the context that tourism-seasonality is a composite phenomenon described by temporal, geographical, and socio-economic aspects, this article develops a multilevel method for studying time patterns of tourism-seasonality in conjunction with its spatial dimension and socio-economic dimension. The study aims to classify the temporal patterns of seasonality into regional groups and to configure distinguishable seasonal profiles facilitating tourism policy and development. The study applies a multilevel pattern recognition approach incorporating time-series assessment, correlation, and complex network analysis based on community detection with the use of the modularity optimization algorithm, on data of overnight-stays recorded for the time-period 1998–2018. The analysis reveals four groups of seasonality, which are described by distinct seasonal, geographical, and socio-economic profiles. Overall, the analysis supports multidisciplinary and synthetic research in the modeling of tourism research and promotes complex network analysis in the study of socio-economic systems, by providing insights into the physical conceptualization that the community detection based on the modularity optimization algorithm can enjoy to the real-world applications.

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