Document Type : Research Article (Applied - Development)
Authors
1
Associate Professor, Department of Social Sciences, Faculty of Law and Social Sciences, University of Tabriz, Tabriz, Iran
2
Assistant Professor, Department of Sociology, Faculty of Literature and Humanities, Urmia University, Urmia, Iran.
3
Master's Degree, Department of Social Sciences, Faculty of Law and Social Sciences, University of Tabriz, Tabriz, Iran
10.22103/jusg.2026.2172
Abstract
Citizenship is a type of social contract that guarantees the achievement of welfare and security at the community level, and how individuals in society should behave to achieve this goal is one of its essential issues. The present study aims to examine the relationship between smart citizenship and ecological citizenship, and for this purpose, it studied the citizens of Urmia.
This research is a survey type with a descriptive-analytical approach with the aim of practical adjustment and information in the field using the questionnaire. The statistical population of Urmia citizens is between 18 and 70 years old, and the sample size is estimated at 411 people who were selected by cluster sampling. The obtained data were calculated using Pearson's correlation test, and regression analysis was used to obtain the amount of prediction of the dependent variable by the independent variable. To measure each of the variables in the questionnaire, a 5-point Likert scale was used.
According to the results obtained, the correlation between smart citizenship and ecological citizenship was equal to 0.364 with 99% confidence, indicating a positive and meaningful relationship, also the regression analysis of the variable of smart citizenship with ecological citizenship showed it was that smart citizenship predicts 17.3 percent of the variance of ecological citizenship in citizens
Ecological citizenship, age, and education are powerful variables for predicting smart citizenship, and given the relationship between these variables, investing in and developing each of these variables can lead to the improvement and development of the other variables.
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