Analysis of Factors Affecting the Decision to Migration of the Villagers in the Area of Behavioral Geography Case Study: Sina District, Varzeqan County

Document Type : Research Paper

Authors

1 Assistant Professor of Department of Geography and Rural Planning, Tabriz University, Tabriz, Iran.

2 Ph.D. Candidate of Geography and Rural Planning, Tabriz University, Tabriz, Iran.

Abstract

The present research, which deals with the behavioral geography is objective in terms of its purpose and is descriptive-analytical in terms of its nature and method and analyzes the factors affecting the decision to migrate the villagers. The statistical population includes households living in Sina district in Varzeqan County and the sample size consists of 300 people where sampling is accomplished in a simple random manner. Likewise, validity of the questionnaire is examined based on formal validity and its reliability with Gutman coefficient (split half) was 0.88. The analysis of this research, which was based on SEM, was considered using LISREL software. Therefore, a number of behavioral factors in the process of decision making of migration of the rural were drawn and tested as a conceptual model based on theoretical foundations and the study of previous studies. The results of fitting goodness assessment illustrates that the proposed model is compatible with the experimental data. Thus, using the drawn model was considered analyzing effective factors. The factor load test shows that the individual perception of environmental quality has the highest impact on the individual as a decision-making factor for migrating from the Rural. Finally, the results of the study about covariance matrix of independent variables indicate a major level of significance in the estimation of the Path Analysis of the studied variables. Hence, the designed model can be considered to be a useful tool in analyzing the rural migration decision making on the territory of behavioral geography.

Keywords

Main Subjects

References

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Journal of Rural Research
Volume 9, Issue 1
June 2018
Pages 42-57

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History

  • Receive Date: 29 July 2015
  • Revise Date: 18 July 2017
  • Accept Date: 20 September 2017

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