Government behaviours in sustainable development of tea industry: empirical evidence from Fujian, China
by Yihui Chen; Minjie Li
International Journal of Sustainable Development (IJSD), Vol. 24, No. 1, 2021

Abstract: Tea contributes significantly to the agricultural economy of the main producing areas. However, there are many factors hindering the sustainable development of the tea industry. In this study, we employed the geographical and temporal weighted regression (GTWR) model to analyse the spatiotemporal distribution and determinants of sustainable tea production in 67 counties in Fujian from 2008 to 2017. Hence, this paper considers the dependent variable, namely the sustainable development index, and the independent variables, namely the environmental regulation intensity (ERI), the government financial support (FIS), the development level of S&T and education (STE), regional development level (RDL), government concerns (GCO) and infrastructure construction (INC). The empirical results show that the influences of factors on sustainable development have obvious spatiotemporal heterogeneity. On the whole, ERI, FIS, GCO and INC show positive influences on sustainable development, while STE and RDL show negative influences. Ultimately, some practical policy recommendations are put forward.

Online publication date: Mon, 24-May-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sustainable Development (IJSD):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com