Digital Heihe

Dataset of livelihood-Public infrastructure

This data includes the accessibility of 15 kinds of public facilities and services, such as roads and schools, in the communities of 1280 households at domestic and abroad, as well as the farmers' satisfaction with these public facilities and public services by comparing that with 3 years ago and current status with neighboring village. This data is used to support the analysis of the material capital part of sustainable livelihood. The data was collected by the research group through field survey in 2019. Before collecting the data, the research group and invited experts conducted a pretest and improved the survey questionnaire; Before the formal investigation, the members participating in the data collection were strictly trained; In the formal survey, each questionnaire is checked three times before it is filed. This data is of great value for understanding the physical capital accessibility and satisfaction of rural households in environment-economic fragile areas, and is an important supplement to national and macro data.

Copyright & License

The file is named "public facilities and satisfaction. XLS", and the recommended software for data analysis includes excel, Stata, and SPSS

Data Citations
Data citation guideline What's data citation?

Cite as:

Xie, Y. (2013). < b>Cultivated oasis distribution in the Heihe River Basin during the historical period</b>2013. doi: 10.3972/heihe.092.2013.db. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Liang Shi.Study on the Spatio-temporal Process of Oasisization and Desertification in the Period of Ming, Qing Dynasties and Republic of China in the Middle Reaches of Heihe River[D]. Lanzhou: Master Degree Thesis of Lanzhou University, 2010. (View Details |Download)

Terms of Use

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.