ZHANG Hui-min, JIANG Hui-ming. ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND-Case of Jilin Province[J]. Chinese Geographical Science, 2005, 15(3): 281-287.
Citation: ZHANG Hui-min, JIANG Hui-ming. ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND-Case of Jilin Province[J]. Chinese Geographical Science, 2005, 15(3): 281-287.

ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND-Case of Jilin Province

  • Received Date: 2005-04-20
  • Publish Date: 2005-09-20
  • With the rapid development of agricultural informalization in the world, the demand of agricultural information has been a focus in the international agriculture and information fields. Based on the investigation, this paper presented the four characteristics of the demand of agricultural information in China, including regionality, seasonality, great potential demand and variation in kind and level. The factors influencing the demand of agricultural information were analyzed by the Optimized Less Square (OLS) method. The result shows that, of all factors influcing agricultural information demand, the most important one is economy, the second is facility of information pass, and knowledge and education of user, credit of agricultural information service system and production situation follow. Taking Jilin Province as an example, this article also elaborated the agricultural information demand status, and deduced the regression model of agricultural information demand and verified it by the survey in rural Jilin.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND-Case of Jilin Province

Abstract: With the rapid development of agricultural informalization in the world, the demand of agricultural information has been a focus in the international agriculture and information fields. Based on the investigation, this paper presented the four characteristics of the demand of agricultural information in China, including regionality, seasonality, great potential demand and variation in kind and level. The factors influencing the demand of agricultural information were analyzed by the Optimized Less Square (OLS) method. The result shows that, of all factors influcing agricultural information demand, the most important one is economy, the second is facility of information pass, and knowledge and education of user, credit of agricultural information service system and production situation follow. Taking Jilin Province as an example, this article also elaborated the agricultural information demand status, and deduced the regression model of agricultural information demand and verified it by the survey in rural Jilin.

ZHANG Hui-min, JIANG Hui-ming. ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND-Case of Jilin Province[J]. Chinese Geographical Science, 2005, 15(3): 281-287.
Citation: ZHANG Hui-min, JIANG Hui-ming. ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND-Case of Jilin Province[J]. Chinese Geographical Science, 2005, 15(3): 281-287.

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