Evaluation of the willingness and behavior of family farm water resource financing based on the Internet of Things SEM model
Abstract At present, China's rural water resources are in short supply and the water pollution situation is severe. Family farms are an important part of China's agricultural modernization, and their development level is an important indicator to measure the degree of modernization of a co...
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Published in | Water science & technology. Water supply Vol. 23; no. 7; pp. 2907 - 2918 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IWA Publishing
01.07.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Abstract
At present, China's rural water resources are in short supply and the water pollution situation is severe. Family farms are an important part of China's agricultural modernization, and their development level is an important indicator to measure the degree of modernization of a country and a region. The application of agricultural Internet of Things technology in the field of agriculture is helpful for solving the problem of water shortage in family farms in water shortage areas. Based on questionnaire data, this paper used structural equation modeling (SEM) to study the relationship between family farm water financing willingness and behavior. The results showed that the standardization coefficients of Assumption 1, Assumption 2 and Assumption 3 were 0.332, 0.267 and 0.311, respectively. It can be seen that the water resource financing willingness of family farms was greatly affected by their water-saving technology ability, water management ability and government policy support. However, the standardization coefficient of Assumption 5 was 0.087. It can be seen that the water management capacity had no significant impact on the water resource financing behavior, and the water resource financing behavior of family farms was mainly affected by their water-saving technical capacity and government policy support. |
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ISSN: | 1606-9749 1607-0798 |
DOI: | 10.2166/ws.2023.157 |