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技术感知、环境认知与农业清洁生产技术采纳意愿

本站小编 Free考研考试/2022-01-01
陈柱康,
张俊飚,,
何可
华中农业大学经济管理学院/湖北农村发展研究中心 武汉 430070
基金项目: 国家自然科学基金重点项目71333006
教育部哲学社会科学重大攻关项目71703051
国家自然科学基金青年项目15JZD014
中央高校基本科研业务费项目2662017QD009


详细信息
作者简介:陈柱康, 主要研究方向为资源与环境经济。E-mail:chenzhukang1993@163.com
通讯作者:张俊飚, 主要研究方向为资源与环境经济。E-mail:zhangjb513@126.com
中图分类号:F323

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收稿日期:2017-11-14
录用日期:2017-12-26
刊出日期:2018-06-01

Technical perception, environmental awareness and adoption willingness of agricultural cleaner production technology

CHEN Zhukang,
ZHANG Junbiao,,
HE Ke
College of Economics and Management, Huazhong Agricultural University/Hubei Rural Development Research Center, Wuhan 430070, China
Funds: the National Natural Science Foundation of China71333006
the National Natural Science Foundation of China71703051
the Philosophy and Social Sciences Project of the Ministry of Education of China15JZD014
the Fundamental Research Funds for the Central Universities of China2662017QD009


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Corresponding author:ZHANG Junbiao, E-mail: zhangjb513@126.com


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摘要
摘要:农业清洁生产技术的推广与采纳对于我国农业可持续发展意义重大，为考察技术感知与环境认知对农户农业清洁生产技术采纳意愿的影响，以中国11省的836份微观农户调查数据为基础，通过应用二元Logistic回归模型，探讨技术感知因素与环境认知因素对农户农业清洁生产技术采纳意愿的影响及其在不同农户群体间的差异性。研究结果表明：1）农户对农业清洁生产技术的感知易用性每降低1个层次，其采纳农业清洁生产技术的概率就会降低5.93%；农户对环境变化的感知程度每提升1个层次，其采纳意愿会提高12.57%。2）“技术感知易用型”农户的采纳意愿主要受到环境变化感知的影响，而“技术感知难用型”农户采纳意愿则主要受到环境变化感知和感知有用性的影响。3）影响“环境变化敏感型”农户采纳意愿的关键因素是感知易用性，而“环境变化滞后型”农户则主要受到年龄、受教育程度、家庭劳动力数量、家庭经营耕地面积的影响。基于上述研究结果，本文认为应对不同类型农户开展有针对性的宣传、教育工作，以提高农户的技术了解程度和环境认知水平，从而推动农业清洁生产技术的推广应用。
关键词:农户/
技术感知/
环境认知/
农业清洁生产技术/
采纳意愿
Abstract:The popularization and adoption of agricultural cleaner production technology are critical for sustainable agricultural development in China. Most studies have only included technical perception variables or environmental cognitive variables as the many explanatory variables failing to include technical awareness variables or environmental cognitive variables in the analytical framework to analyze the key factors that affect farmers' willingness to adopt agricultural cleaner production technology. In fact, technical perception and environmental cognition play an important role in the adoption of agricultural cleaner production technology. Thus, this study analyzed the willingness of farmers to adopt agricultural cleaner production technology from points of views of both technical perception and environmental cognition based on survey data on 836 micro-farmers in 11 provinces in China. The effects of adopting agricultural cleaner production technology and differences among various peasant groups were also investigated through the use of binary logistic regression model. The results showed that:1) when farmers' perception of agricultural cleaner production technology reduced by one level, the probability of adoption of the agricultural cleaner production technology dropped by 5.93%. Farmers had a higher degree of awareness of the use of agricultural cleaner production technologies. Production techniques were more readily adopted among agricul-tural cleaner production technologies. When the farmers' perception on environmental change improved by one level, the willingness to adopt increased by 12.57%. It was obvious that farmers were more sensitive to climate change and were more likely to adopt the agri-cultural cleaner production techniques. 2) The key factor that affected farmers who perceived "ease of use" was the feel of environmental changes. Also the adoption willingness of farmers who was "technical perception of difficult" was mainly influenced by the perception on environmental changes and the usefulness of changes. It suggested that raising the level of perception of peasant households on envi-ronmental change significantly promoted the willingness to adopt cleaner agricultural production technology. 3) The key factor that in-fluenced the adoption willingness of farmers who was "sensitive to environmental change" was the ease-to-use of technology. Also for farmers who were "lagged to environmental change", the willingness was mainly affected by age, education level, family labor size and cultivated land area. The adoption processes of agricultural cleaner production technology still relied on traditional habits. There were obvious differences in the willingness of farmers in different sample groups. The research conclusions provided the critical references for agricultural cleaner production in China. Based on the results, in order to improve the level of technical knowledge, farmers' environmental cognition, popularization and application of agricultural cleaner production technology, there was the needs to target edu-cation. This should be done for different types of farmers in order to increase the degree of technical understanding and environmental awareness of farmers. This was necessary to promote the application of agricultural cleaner production technologies in China.
Key words:Farm household/
Technical perception/
Environmental awareness/
Cleaner agricultural production technology/
Willingness of adoption

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图1农业清洁生产技术接受模型
Figure1.The model of agricultural cleaner production technology acceptance


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表1样本农户对农业清洁生产技术的技术感知、环境认知及控制变量的说明、统计及预期
Table1.Description, statistics and expectation of technical perception, environmental cognition and control variables of sample farmers to agricultural cleaner production technology
变量及含义
Variable and meaning		赋值
Assignment		平均值
Average		标准差
Standard deviation		预期
Expectation
因变量
Dependent variable		农业清洁生产技术采纳意愿
Willingness to adopt agricultural cleaner production technologies		愿意采纳=1;不愿意采纳=0
Willing to adopt = 1; loath to adopt = 0
技术感知变量
Variable of technical perceptive		感知易用性
Perceived ease of use		从非常同意到完全不同意分5档, 分别赋值1~5
From very agreement to completely disagree is divided into five levels, respectively equaling to 1-5		2.770.96-
感知有用性
Perceived usefulness		从非常同意到完全不同意分5档, 分别赋值1~5
From very agreement to completely disagree is divided into five levels, respectively equaling to 1-5		2.830.95-
环境认知变量
Variable of environment cognition		环境变化感知
Perceived environmental change		是=1;否=0
Yes = 1; no = 0		0.880.33+
环境知识认知
Cognized environmental knowledge		从非常同意到完全不同意分5档, 分别等于1~5
From very agreement to completely disagree is divided into five levels, respectively equaling to 1-5		3.470.95-
控制变量
Control variable		性别Gender女=0;男=1 Female = 0; male = 10.910.28+
年龄Age户主年龄Householder age53.7411.00？
小学Primary school小学=1;其他=0 Primary school = 1; others = 00.280.45？
初中Junior high school初中=1;其他=0 Junior high school = 1; others = 00.470.5？
高中Senior high school高中或中专=1;其他=0 Senior high school = 1; others = 00.140.34？
大专及以上Junior college or above大专及以上=1;其他=0 Junior college or above=1; others=00.020.14？
务农年限
Farming years		户主实际务农年限
Actual farming years of the household (a)		32.9213.13？
家庭劳动力数量
Labor force of family		家庭劳动力数量
Labor force of family		2.941.25+
家庭经营耕地面积
Cultivated area of family		家庭经营耕地面积
Cultivated area of family (hm2)		7.944.25+
家庭年收入
Annual household income		家庭年实际收入
Annual household actual income (￥)		6.014.92+


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表2以农户对农业清洁生产感知有用性为因变量的多重共线性检验结果
Table2.Results of multiple collinear tests with perceived usefulness of farmer to agricultural cleaner production technology as dependent variables
因变量
Dependent variable		解释变量
Explanatory variable		共线性统计量
Statistics of multicollinearity
容差
Tolerance		VIF
感知有用性
Perceived usefulness		性别Gender0.921.08
年龄Age0.801.24
小学Primary school0.303.31
初中Junior high school0.214.68
高中Senior high school0.313.22
大专及以上
Junior college or above		0.651.54
务农年限Farming years0.244.18
家庭劳动力数量
Labor force of family		0.462.2
家庭经营耕地面积
Cultivated area of family		0.412.47
家庭年收入
Annual household income		0.761.32
是否感知到气候变化
Perception of climate change		0.991.01
低碳农业内涵了解程度
Understanding of low carbon agriculture		0.881.14
感知易用性
Perceived ease of use		0.871.14


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表3基于不同解释变量的Logistic回归方程模型估计结果
Table3.Results of Logistic regression model estimation based on different explanatory variables
Logistic回归方程Equation of Logistic regression边际效应(基于方程4)
Marginal effect (based on Equation 4) (%)
变量类型
Variable type		变量名称
Name of variable		方程1
Equation 1		方程2
Equation 2		方程3
Equation 3		方程4
Equation 4
技术感知变量
Variable of technical perceptive		感知易用性
Perceived ease of use		—-0.285±0.125**—-0.315±0.129**-5.936±0.024**
感知有用性
Perceived usefulness		—-0.102±0.127—-0.091±0.127-1.715±0.024
环境认知变量
Variable of environment cognition		环境变化感知
Perceived environmental change		——0.650±0.214***0.667±0.218***12.567±0.040***
环境知识认知
Cognized environmental knowledge		——-0.051±0.083-0.315±0.1291.316±0.017
控制变量
Control variable		性别Gender0.108±0.2730.106±0.2780.085±0.2750.082±0.2811.540±0.053
年龄Age0.005±0.1440.004±0.0150.006±0.0150.007±0.0150.137±0.003
小学Primary school0.609±0.2850.518±0.290*0.636±0.287**0.552±0.292*10.395±0.055*
初中Junior high school0.742±0.316**0.680±0.321**0.761±0.317**0.691±0.322**13.005±0.060**
高中Senior high school1.160±0.407***1.060±0.412***1.140±0.409***1.043±0.413**19.643±0.077**
大专及以上
Junior college or above		0.129±0.6370.094±0.6450.194±0.6400.134±0.6512.528±0.123
务农年限Farming years-0.016±0.012-0.013±0.013-0.016±0.012-0.016±0.013-0.295±0.002
家庭劳动力数量
Labor force of family		0.246±0.097**0.240±0.097**0.240±0.097**0.226±0.976**4.251±0.018**
家庭经营耕地面积
Cultivated area of family		-0.056±0.029**-0.060±0.029**-0.055±0.029*-0.056±0.029*-1.048±0.005*
家庭年收入
Annual household income		0.014±0.0180.011±0.0180.018±0.0180.015±0.0190.283±0.004
常数项
Constant term		常数项Constant term0.087±0.6331.230±0.690-0.384±0.7310.383±0.761—
统计量
Statistics		卡方
Chi-Square		26.69 (P=0.003)47.91 (P=0.000)36.06 (P=0.000)57.49 (P=0.000)—
对数似然值
Log likelihood		-541.290-530.678-536.603-525.888—
Nagelkerke R20.0240.0430.0330.052—
***、**、*分别表示自变量在1%、5%、10%的置信水平上显著。*, **, *** mean that explanatory variables have significant influence on levels of 10%, 5%, and 1%, respectively.


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表4以感知易用性为限定条件下的Logistic回归方程模型估计结果分析
Table4.Analysis of Logistic regression equation model results under the perceived ease of use
方程5 Equation 5方程6 Equation 6
变量
Variable		偏回归系数
Partial regression coefficient		Sig.变量
Variable		偏回归系数
Partial regression coefficient		Sig.
环境变化感知
Perceived environmental change		0.045***0.003环境变化感知
Perceived environmental change		0.624**0.043
感知有用性Perceived usefulness-0.301**0.039
***、**分别表示自变量在1%和5%置信水平上显著。**, *** mean that explanatory variables have significant influence on levels of 5%, and 1%, respectively.


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表5以环境变化感知为限定条件下的Logistic回归方程模型估计结果分析
Table5.Analysis of Logistic regression results under the condition of perceived environmental change
方程7 Equation 7方程8 Equation 8
变量Variable偏回归系数
Partial regression coefficient		Sig.变量Variable偏回归系数
Partial regression coefficient		Sig.
感知易用性
Perceived ease of use		-0.342**0.020年龄Age-0.086*0.074
初中Junior high school5.654*0.058
家庭劳动力数量Labor force of family1.050*0.068
家庭经营耕地面积
Cultivated area of family		-0.412*0.067
**、*分别表示自变量在5%和10%置信水平上显著。*, ** mean that explanatory variables have significant influence on levels of 10%, 5%, respectively.


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