Statistical Appendix to Chapter 3: Relationships between Social Economic Variables and the Spatial Distribution of EGS Employment Generation

1993 ◽  
pp. 207-214
Keyword(s):  
Spatial Distribution ◽  
Social Economic ◽  
Economic Variables ◽  
Employment Generation

scholarly journals Is Innovation a Driver of Sustainability? An Analysis from a Spanish Region

2021 ◽  
Vol 13 (16) ◽  
pp. 9286
Author(s):  
Alicia Llorca-Ponce ◽  
Gregorio Rius-Sorolla ◽  
Francisco J. Ferreiro-Seoane
Keyword(s):  
Environmental Sustainability ◽  
Driving Force ◽  
Social Economic ◽  
Social Sustainability ◽  
Three Dimensions ◽  
Environmental Certification ◽  
Environmentally Sensitive ◽  
Employment Generation ◽  
Financial Profitability ◽  
Spanish Region

1. Background. It is well-known that innovation contributes to economic growth, improves productivity and enables competitive advantage. However, beyond these matters, it would be of interest to know what role innovation plays in relation to sustainability. This paper focuses on whether innovation is a driver of sustainability in its three dimensions: social, economic and environmental. 2. Methods. The study was conducted with companies in the Valencian community (Spain) to analyze whether they significantly contribute to sustainability as innovators. Economical sustainability was assessed based on economic and financial profitability; social sustainability was assessed by employment generation. To determine whether companies contributed to environmental sustainability, we considered those which, apart from a reputation (“label”) in innovation, had some kind of environmental certification. 3. Results. Our results indicate that innovative companies are more profitable and generate more employment. However, there are no differences in terms of performance and employment generation between innovative companies and those that are also environmentally sensitive. 4. Conclusion. Innovation is a driving force of economic and social sustainability in the studied area, but environmental sensitivity is not a driver for economic and social sustainability.

US TODDLERS EXPOSURE TO PBDE FLAME RETARDANTS: ASSOCIATIONS WITH HOUSE DUST, HAND WIPES, AND SOCIAL/ECONOMIC VARIABLES

2011 ◽  
Vol 2011 (1) ◽  
Author(s):  
Heather M. Stapleton ◽  
Sarah Eagle ◽  
Andreas Sjödin ◽  
Thomas F. Webster
Keyword(s):  
House Dust ◽  
Flame Retardants ◽  
Social Economic ◽  
Economic Variables

scholarly journals Geografia dos Votos Inválidos na Eleição de 1982 no Estado do Rio de Janeiro

1984 ◽  
Vol 8 ◽  
pp. 46-76
Author(s):  
Marina Sant'Anna ◽  
Ludy Freire
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Rio De Janeiro ◽  
Social Economic ◽  
Spatial Distribution Pattern ◽  
The Social ◽  
Janeiro State

Firstly this paper tries to analyze and explain the spatial distribution pattern of null and blank votes across the territorial administrative divisious (municipios) of Rio de Janeiro State in 1982 election. Secondly, it tries to identify and evaluate the correlation between void votes and the social-economic characteristcs of the population of these municipios.

scholarly journals SOCIAL SUPPORT AND JOB SATISFACTION AMONG THE SCHOOL TEACHERS IN TIRUCHIRAPPALLI EDUCATIONAL REVENUE DISTRICT, TAMIL NADU, INDIA

2021 ◽  
Vol 3 (12) ◽  
pp. 83-91
Author(s):  
Rajakala ◽  
Sampath Kumar
Keyword(s):  
Social Support ◽  
Job Satisfaction ◽  
Tamil Nadu ◽  
Social Economic ◽  
Human Beings ◽  
Economic Variables ◽  
Systematic Random Sampling ◽  
Rural And Urban ◽  
Educational Programmes

Teachers’ role in society in general and in education has been changing with time but the importance of this position is same. The teacher is the pre-requisite of the success of educational programmes. The main quality of teacher is the positive attitude towards education.One of the effective factors on job satisfaction is perceived social support by individuals. One of the psychological concepts that have been introduced by scientists of educational science is social support. It was among the basic needs of human beings throughout the history.Data were collected from70 males and 312 female teachersworking in both rural and urban schools in Tiruchirappalli revenue district using systematic random sampling techniques. The results reveal that there is no relationship between social economic variables (gender, age, and education) and social support; however marital status and income are positively associated with social support. The results further expose that social economic variables (age and education)are negatively linked with job satisfaction. Hence,better social support and higher job satisfaction of teachers.

REVITALIZATION AS A PROCESS OF ASSESSING AND SHAPING DEGRADED RURAL SPACES

2017 ◽  
Vol XIX (4) ◽  
pp. 250-256
Author(s):  
Patrycjusz Zarębski
Keyword(s):  
Spatial Distribution ◽  
Rural Areas ◽  
Spatial Planning ◽  
Social Economic ◽  
High Concentration ◽  
Key Aspects ◽  
Key Indicators ◽  
Negative Phenomena

The aim of the study was to identify and evaluate indicators for spatial planning of revitalization processes in rural areas. Special attention was paid to the study of crisis phenomena and their spatial distribution, as well as answer to the question of consequences for the municipality development. Municipality was split into analytical units (rural areas). Subsequently, key indicators were identified, describing four key aspects of revitalization in terms of social, economic, technical and functionalspatial dimensions. Based on them, the classification of villages was conducted due to the occurrence of crisis phenomena. Degraded areas were identified in the municipality with a high concentration of multidimensional negative phenomena that require support and planning activities. In the next step the results of the analysis were geocoded and the spatial distribution of crisis phenomena were presented. Mapping has identified three clusters of degraded areas that require separate remediation programs which may cause some difficulty in planning revitalization activities.

Zoomorphic Iron Age Sculpture in Western Iberia: Symbols of Social and Cultural Identity?

1994 ◽  
Vol 60 (1) ◽  
pp. 403-416 ◽  
Author(s):  
Jesús R. Alvarez-Sanchis
Keyword(s):  
Spatial Distribution ◽  
Cultural Identity ◽  
Spatial Pattern ◽  
Iron Age ◽  
Social Economic ◽  
Economic Value ◽  
Cultural Traditions ◽  
Native Identity ◽  
Regional Settlement ◽  
Critical Resources

One of the most interesting archaeological features of western Iberian Protohistory is the stone animal sculptures, usually called ‘verracos’. The function and meaning of this kind of monument is discussed, taking into account the regional settlement pattern and changes during the early Roman period. The sculptures were used as an index of economic value (cattle) and by studying their spatial distribution in the Amblés Valley (Avila) it is proposed that they were used as landmarks delimiting critical resources (pasture) the explotation of which could have been organized by the elites of the 2nd Iron Age communities living in the Valley. The presence of first Roman settlers did not necessarily lead to a clear breakdown of pre-existing social symbols and cultural traditions. This is reflected through a continuity of sculpture production probably without changes to the spatial pattern. Thus, it is possible to conclude that sculpture production may reflect social, economic, and ideological ties between the old hierarchy and the new elites, expresed in terms of native identity.

Spatial Distribution of Tourism in China: Economic and other Influences

1996 ◽  
Vol 2 (3) ◽  
pp. 235-250 ◽  
Author(s):  
Jie Wen ◽  
Clem Tisdell
Keyword(s):  
Spatial Distribution ◽  
Coastal Region ◽  
Spatial Inequality ◽  
Economic Variables ◽  
Cross Sectional ◽  
Demand And Supply ◽  
Gini Coefficients ◽  
On Demand ◽  
Per Capita ◽  
Socio Economic Variables

Using cross sectional data, the spatial distribution of inbound tourism to China is compared with that of the distribution of socio-economic variables such as GDP, population and GDP per capita. Spatial inequality of tourism based both on demand- and supply-side indicators is shown to be much greater than for that of the socio-economic variables and appears to reinforce the regional inequalities generated by the latter. This is evident from the Gini coefficients. Furthermore, the disparity of the concentration of tourism in the coastal region of China compared to the inland is much greater than that on the economics side. Factors which may help to generate this inequality in tourism are identified. The scope for ecotourism to decentralize tourism in China is briefly discussed.

Sign in / Sign up

Export Citation Format

Share Document