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International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014) The Cause Analysis of China Agricultural Information Efficiency in Different Provinces —Based on the comparison of the 31 provinces and autonomous regions Wang huipo* Zhang lipeng Department of Economics and Management Department of Economics and Management Dalian University Dalian University Dalian , China Dalian , China [email protected] [email protected] Abstract—The government wants to achieve the goal put information efficiency helps to make full use of forward in the eighteenth Congress of the Chinese agricultural information resources and raise the level of the Communist Party. It needs to improve efficiency. Therefore, development of agricultural information at a low cost. the efficiency of agricultural information is particularly Therefore, the paper has evaluated the agricultural important for a large agricultural country like China in the information efficiency by constructing evaluation index information age. Through constructing agricultural input and using the statistic data of 31 provinces and and output efficiency evaluation index system and using autonomous regions through our country. And this paper Data Envelopment Analysis, the article analyzed the analyzes the motivation of agricultural information Agricultural Information Efficiency in China’s 31 provinces efficiency difference forms in various provinces and and autonomous regions. As the result, we found that the autonomous regions and sensitivity of each agent. agricultural information efficiency of 11 provinces and autonomous regions does not reach optimal efficiency. So the In this paper, the structure arrangement is as follows: paper explored the sensitive of various input and output Section 2 is literature review; Section 3 has given the indicators in these cities. Finally, this paper gives some research methods and the corresponding index system; policy advice from a objective perspective to improve the Section 4 is using DEA method to deal with data and agricultural information efficiency. explaining and analyzing the statistical results; the last is coming to the conclusion and putting forward the outlook. Keywords- Agricultural Information Efficiency; DEA; Indicator System; Efficiency sensitivity II. LITERATURE REVIEW Agricultural information is the important component of I. INTRODUCTION national economic information and is of great significance Report of the eighteenth Congress of the Chinese to promote China’s agricultural information and realize Communist Party proposed that our country will build a agricultural modernization and the comprehensive moderately prosperous society and realize GDP and urban construction well-off society. [5]Agricultural information and rural incomes will be more double than 2010 until the efficiency decides the ability to use factors of agricultural year 2020.In order to achieve the target, the productivity is information and the effect of it. While the research that critical, that is to say, the problem of productivity most domestic scholars have done in recent years mainly efficiency is the core issue of economic and social focus on the current development of agricultural development of our country in the next decade or even two information, the existing problems, the improving decades. Similarly, the problem of efficiency is also the measures and the effect of agricultural information and so core issue of agricultural development of our country. on. Such as Cao Junjie (2007) analyzed 4 prominent Many scholars’ study shows that information has a pivotal problems in the agricultural information of our country and significance in promoting the development of rural areas put forward 5 practical agricultural information and agriculture. Li Youzhu and others have done some construction measures; [6]Liu Jinai (2009) point out three corresponding studies on agricultural Information main status, five problems and six countermeasures; technology investment and the contribution rate of [7]Long Bing, Du Tongqing (2012) analyzed the role of agricultural output in 2012; [1]Yu Shumin has studied the agricultural information in our country’s modernization impact of agricultural information on agricultural TFP in and point out that agricultural information is the important 2011. [2]Guo Qingran has studied the strategy that content and inevitable choice of agricultural modernization. agricultural information promotes agricultural [8]However, recent research on agricultural information in industrialization in 2008[3] and also Zhang Hong has overseas refers only to its system, approaches, degree and studied the influence agricultural information has on circumstance and so on. Nuray Kizilaslan (2006) agricultural economic growth [4] and so on. mentioned the benefit agricultural information has on From the above papers, we can learn that agricultural farmers in his paper by studying the agricultural Information plays an important role in improving the information system in Turkey. [9]Adebambo Adewale efficiency of agricultural production, but there is a lack of Oduwole , Chichi Nancy Okorie (2010) analyzed farmers research about it. The improvement of the agricultural in Abeokuta, Ogun State developed agricultural © 2014. The authors - Published by Atlantis Press 792 information through electronic, print media, the village square commence, religion and the market.[10]William T max hj u y0 Mokotjo,Trywell Kalusopa(2010) obtained the degree of 0 T T agricultural information service through investigating 300 s t.. w xj u yj 0, j 1,2, , n farmers in Lesotho.[11] L.O. Aina（2012）indicated that ()P T the information environment related to agricultural w x0 1 stakeholders in Botswana. [12]It is rare to see the research on agricultural information efficiency. In this paper, it w0, u 0 regard the provincial differences of agricultural Us information as the starting point, using the method of DEA ing dual planning theory and further introduction of slack (Data Envelopment Analysis), combining the presented and surplus variables above fractional programming can be agricultural information input and output index, parsing transformed into a linear programming problem, as the data of 31 provinces, cities and autonomous regions, formula (2) shown: and conclude that all provinces and autonomous regions in min China agricultural information efficiency ranking and n analyze the causes of the differences, for low efficiency s t.. x s x area and optimization of agricultural information inputs j j 0 j1 (2) used to provide the direction of improvement. n jy j s y0 III. METHODOLOGY AND INDICATOR SYSTEM j1 0,j 1,2, , n A. Methodology j s 0, s 0 DEA (Data Envelopment Analysis) method is an effective method for multi-input and multi-output system ** * which make the relative efficiency evaluation. It not only If 1,s 0, s 0 , the decision-making unit calculates the efficiency of the production units and can j is DEA valid. The economic activities are both the best analyze the reasons for the different efficiency. Regional 0 agricultural information efficiency evaluation is a multi- of technology effectively and scale efficiently; If * 1 input and multi-output the same type of system evaluation. and at least one of the input or output is greater than 0, the Therefore this paper adopted the method to evaluate * unit j is weak DEA valid. If 1, the unit j is not agricultural information efficiency of 31 provinces and 0 0 autonomous regions with DEA and analyze DEA valid. The economic activities are neither the best of theMaintaining the Integrity of the Specifications technology effectively nor scale efficiently. difference motivation. B. Indicator system This paper adopts CCR model to study efficiency of agricultural information in 31 provinces and autonomous Agricultural information with quantify measure first regions studied. The CCR model is given as follow (1): began in Machlup (Macluph) and Borat (Porat), while China's agricultural information construction began in the s early 1990s. It is clear measure of agricultural information u y r rj0 max h r1 for research lagged behind and because China's agriculture j0 m v x has a high dispersion, variety, small-scale, family-run and i ij0 non-standard features. As a result, there are some i1 s difficulties in selecting indicators, and data availability is u y r rj (1) also limited. So far, the presence of agriculture information .ts .r1 1,j 1,2,,n measurement indicators has big different with different vi xij scholars, as shown in Table 1. u,0 v o TABLE1 SCHOLARS HAVE BUILT EVALUATION INDEX SYSTEM OF AGRICULTURAL INFORMATION No Author Document Indicators The above plan is a fractional programming model, Classification using Charnes-Cooper transformation: 1 Zhou Hong Research on Three levels and （2001） agricultural four categories information 1 questions[14] t t ,,w tv u tu 2 Xu Aiping.et Research on 8 level v x0 （2004） agricultural indicators and a 1 information series of ， t measurement secondary t t w x0 1 v x0 index system indicators [15] It can be turned into the following linear programming 3 Wang Zhengyu The 20 indicators in model P: （2005） development of six categories Chinese agricultural 793 information and TABLE2 THE INPUT INDICATORS OF AGRICULTURAL INFORMATION empirical EFFICIENCY EVALUATION research [16] Level Secondary Source Indicat 4 Sheng Qifeng Agricultural 6 level Indicators Indicators ors （2005） information indicators and construction

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