高 佳,宋 戈
產(chǎn)權(quán)認(rèn)知及外部環(huán)境對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)行為影響模型分析
高 佳,宋 戈※
(東北大學(xué)文法學(xué)院,沈陽(yáng) 110169)
農(nóng)民的產(chǎn)權(quán)認(rèn)知及外部環(huán)境直接影響農(nóng)戶(hù)的土地流轉(zhuǎn)行為決策。該文基于陜西關(guān)中地區(qū)545戶(hù)農(nóng)戶(hù)調(diào)研數(shù)據(jù),按農(nóng)民非農(nóng)收入水平和承包地經(jīng)營(yíng)規(guī)模分異將農(nóng)戶(hù)進(jìn)行分組,用多群組結(jié)構(gòu)方程模型,將非農(nóng)水平和承包地經(jīng)營(yíng)規(guī)模作為調(diào)節(jié)變量,分析農(nóng)戶(hù)產(chǎn)權(quán)認(rèn)知及外部環(huán)境對(duì)其土地流轉(zhuǎn)行為的影響差異。研究結(jié)果表明:農(nóng)戶(hù)土地流轉(zhuǎn)意愿對(duì)其土地流轉(zhuǎn)行為的綜合影響最大,外部環(huán)境次之。農(nóng)戶(hù)對(duì)土地抵押權(quán)的認(rèn)知對(duì)土地流轉(zhuǎn)意愿具有顯著影響。家庭非農(nóng)收入水平高、經(jīng)營(yíng)規(guī)模小的農(nóng)戶(hù)更容易將土地流轉(zhuǎn)意愿轉(zhuǎn)化為土地流轉(zhuǎn)行為。研究產(chǎn)權(quán)認(rèn)知和外部環(huán)境因素能為制定土地流轉(zhuǎn)政策提供科學(xué)依據(jù)。
土地利用;農(nóng)場(chǎng);模型;土地管理;城鎮(zhèn)化;產(chǎn)權(quán)認(rèn)知;外部環(huán)境;土地流轉(zhuǎn);多群組結(jié)構(gòu)方程
加快農(nóng)業(yè)現(xiàn)代化發(fā)展是實(shí)現(xiàn)中國(guó)現(xiàn)代化的必然要求,鼓勵(lì)農(nóng)戶(hù)以多種形式進(jìn)行土地流轉(zhuǎn)成為實(shí)現(xiàn)農(nóng)業(yè)現(xiàn)代化的重要途徑。目前農(nóng)村土地流轉(zhuǎn)制度不完善,相關(guān)政策和制度缺失導(dǎo)致土地流轉(zhuǎn)主體不明確,實(shí)際操作中常需要政府機(jī)關(guān)對(duì)土地流轉(zhuǎn)行為強(qiáng)制干預(yù),導(dǎo)致土地流轉(zhuǎn)績(jī)效降低[1]。據(jù)農(nóng)業(yè)部數(shù)據(jù)顯示,截至2016年6月底,全國(guó)農(nóng)村耕地流轉(zhuǎn)面積僅占承包地面積三分之一,且各地耕地流轉(zhuǎn)率存在較大差異[2],可見(jiàn)外部政策環(huán)境對(duì)農(nóng)戶(hù)的土地流轉(zhuǎn)行為有顯著影響。根據(jù)現(xiàn)代產(chǎn)權(quán)理論,完善產(chǎn)權(quán)保護(hù)制度能有效激勵(lì)當(dāng)事人進(jìn)行生產(chǎn)經(jīng)營(yíng)活動(dòng),并有助于產(chǎn)權(quán)交易的實(shí)現(xiàn)。因此應(yīng)當(dāng)從農(nóng)戶(hù)的產(chǎn)權(quán)認(rèn)知和外部環(huán)境出發(fā),分析二者對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)行為的影響。
農(nóng)民對(duì)耕地產(chǎn)權(quán)的認(rèn)知以及外部環(huán)境會(huì)影響農(nóng)地產(chǎn)權(quán)制度和農(nóng)村土地制度的有效性和實(shí)施效率[3],并直接影響其土地流轉(zhuǎn)意愿和行為。從邏輯上分析,農(nóng)民對(duì)土地流轉(zhuǎn)積極性不高的主要原因在于農(nóng)民對(duì)土地流轉(zhuǎn)政策安排的心理預(yù)期與實(shí)際中土地流轉(zhuǎn)制度安排之間存在差異,農(nóng)民流轉(zhuǎn)土地雖能獲得土地租金收入,但租金水平低、流轉(zhuǎn)合同不規(guī)范,還存在無(wú)法按時(shí)收租的風(fēng)險(xiǎn),農(nóng)民對(duì)土地權(quán)利的認(rèn)知不能得到滿(mǎn)足,難以在收入價(jià)值上得到體現(xiàn),農(nóng)民就會(huì)對(duì)反對(duì)這種制度安排[4]。梳理土地產(chǎn)權(quán)、外部環(huán)境與土地流轉(zhuǎn)之間關(guān)系的研究成果發(fā)現(xiàn),諸多學(xué)者認(rèn)為地權(quán)穩(wěn)定性對(duì)土地流轉(zhuǎn)有顯著正向影響,能增加農(nóng)民對(duì)土地的長(zhǎng)期投資,增強(qiáng)對(duì)土地長(zhǎng)期收益的有效預(yù)期,使農(nóng)民愿意轉(zhuǎn)入或轉(zhuǎn)出土地[5-6];通過(guò)承包權(quán)確權(quán)會(huì)對(duì)農(nóng)戶(hù)簽訂正式的土地流轉(zhuǎn)合約有顯著正向影響,進(jìn)而繁榮土地流轉(zhuǎn)市場(chǎng)、促進(jìn)農(nóng)村勞動(dòng)力轉(zhuǎn)移,進(jìn)一步推進(jìn)城鄉(xiāng)一體化進(jìn)程[7-8];也有學(xué)者認(rèn)為穩(wěn)定的地權(quán)并不一定能切實(shí)反映農(nóng)戶(hù)的實(shí)際需要,“被產(chǎn)權(quán)”的農(nóng)民只是服從政府的行政命令,并不會(huì)對(duì)土地流轉(zhuǎn)起到實(shí)際作用[9]。農(nóng)戶(hù)的土地流轉(zhuǎn)行為決策十分理性,并不是單純的經(jīng)濟(jì)行為,會(huì)兼顧眼前的經(jīng)濟(jì)收入和長(zhǎng)遠(yuǎn)的經(jīng)濟(jì)安全,其決策行為受家庭經(jīng)濟(jì)稟賦及外部政策環(huán)境共同影響,土地流轉(zhuǎn)中介組織的介入、村委會(huì)對(duì)流轉(zhuǎn)的干預(yù)、地方政府對(duì)土地流轉(zhuǎn)信息發(fā)布的指導(dǎo)、對(duì)土地流轉(zhuǎn)價(jià)格的合理確定等外部體制環(huán)境因素均會(huì)對(duì)農(nóng)戶(hù)的土地流轉(zhuǎn)行為產(chǎn)生直接或間接影響,而且農(nóng)村工業(yè)化、農(nóng)業(yè)機(jī)械投入、農(nóng)村社會(huì)保障功能等外部條件對(duì)土地流轉(zhuǎn)規(guī)模和速度產(chǎn)生的影響并不是簡(jiǎn)單的單向作用,因此需要市場(chǎng)和政府協(xié)同才能優(yōu)化流轉(zhuǎn)環(huán)境、穩(wěn)定土地流轉(zhuǎn)[10-14]。
有關(guān)土地產(chǎn)權(quán)、外部環(huán)境對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)行為影響的研究成果為本研究提供了有益參考,但上述研究都是將研究對(duì)象作為一個(gè)整體,無(wú)法對(duì)具有不同特征的農(nóng)戶(hù)群體之間的差異進(jìn)行區(qū)分,難以確定運(yùn)用特定農(nóng)戶(hù)群體行為的研究結(jié)論能否適用于其他農(nóng)戶(hù)群體[15-16],如農(nóng)戶(hù)非農(nóng)收入水平的變化必然會(huì)誘發(fā)農(nóng)戶(hù)分化,不同非農(nóng)收入水平的農(nóng)戶(hù)會(huì)表現(xiàn)出不同的個(gè)人偏好[17],非農(nóng)收入較高的農(nóng)戶(hù)對(duì)農(nóng)業(yè)生產(chǎn)和耕地的依賴(lài)性較低,可能會(huì)更愿意進(jìn)行土地流轉(zhuǎn);而經(jīng)營(yíng)規(guī)模的大小直接影響農(nóng)戶(hù)對(duì)農(nóng)業(yè)生產(chǎn)的投入和規(guī)模經(jīng)營(yíng)的實(shí)現(xiàn)能力,家庭承包地面積越小,對(duì)農(nóng)業(yè)生產(chǎn)進(jìn)行投入的經(jīng)濟(jì)效益越低,進(jìn)行機(jī)械生產(chǎn)的可能性越低,越可能促進(jìn)農(nóng)戶(hù)進(jìn)行土地流轉(zhuǎn)。因此,本文引入農(nóng)戶(hù)產(chǎn)權(quán)認(rèn)知和外部環(huán)境因子,將農(nóng)戶(hù)非農(nóng)收入水平和經(jīng)營(yíng)規(guī)模作為調(diào)節(jié)變量,把抽樣范圍界定為整個(gè)農(nóng)戶(hù)群體,實(shí)證分析時(shí)利用多群組結(jié)構(gòu)方程模型對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)意愿和行為進(jìn)行研究,分別檢驗(yàn)不同群體特征對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)意愿和行為的影響,為制定土地流轉(zhuǎn)政策提供借鑒和參考。
1.1 理論基礎(chǔ)和研究假設(shè)
1.1.1 產(chǎn)權(quán)認(rèn)知
農(nóng)戶(hù)作為“經(jīng)濟(jì)人”和“理性人”,會(huì)試圖選擇對(duì)自己最有利的制度安排,農(nóng)民有選擇自由時(shí),會(huì)根據(jù)自身?xiàng)l件計(jì)算各種制度框架下的成本收益,比較效益大小形成自己的制度偏好[6]。土地產(chǎn)權(quán)制度是影響農(nóng)戶(hù)土地流轉(zhuǎn)行為的根本原因之一,農(nóng)戶(hù)對(duì)土地產(chǎn)權(quán)的認(rèn)知與法律上的偏差會(huì)導(dǎo)致農(nóng)戶(hù)期望與行為的偏離,從而影響農(nóng)戶(hù)的土地流轉(zhuǎn)行為[18];對(duì)土地抵押權(quán)和轉(zhuǎn)讓權(quán)具有私有認(rèn)知的農(nóng)民更容易流轉(zhuǎn)土地[19];對(duì)占有權(quán)有較弱偏好、對(duì)流轉(zhuǎn)權(quán)有較強(qiáng)偏好的農(nóng)戶(hù)土地流轉(zhuǎn)行為較多,轉(zhuǎn)讓權(quán)偏好對(duì)農(nóng)戶(hù)的土地流轉(zhuǎn)意愿有積極影響,而繼承權(quán)偏好則會(huì)產(chǎn)生消極影響[20]?;诖?,提出假設(shè):
H1-1:農(nóng)戶(hù)對(duì)土地占有權(quán)的私有認(rèn)知負(fù)向影響其土地流轉(zhuǎn)意愿。
H1-2:農(nóng)戶(hù)對(duì)土地收益權(quán)的私有認(rèn)知負(fù)向影響其土地流轉(zhuǎn)意愿。
H1-3:農(nóng)戶(hù)對(duì)土地流轉(zhuǎn)權(quán)的私有認(rèn)知正向影響其土地流轉(zhuǎn)意愿。
H1-4:農(nóng)戶(hù)對(duì)土地抵押權(quán)的私有認(rèn)知正向影響其土地流轉(zhuǎn)意愿。
H2-1:農(nóng)戶(hù)對(duì)土地占有權(quán)的私有認(rèn)知負(fù)向影響其土地流轉(zhuǎn)行為。
H2-2:農(nóng)戶(hù)對(duì)土地收益權(quán)的私有認(rèn)知負(fù)向影響其土地流轉(zhuǎn)行為。
H2-3:農(nóng)戶(hù)對(duì)土地流轉(zhuǎn)權(quán)的私有認(rèn)知正向影響其土地流轉(zhuǎn)行為。
H2-4:農(nóng)戶(hù)對(duì)土地抵押權(quán)的私有認(rèn)知正向影響其土地流轉(zhuǎn)行為。
1.1.2 外部環(huán)境
農(nóng)戶(hù)雖可自由選擇是否流轉(zhuǎn)土地,但其意愿必然受外部環(huán)境影響。完善的土地流轉(zhuǎn)市場(chǎng)環(huán)境能降低土地流轉(zhuǎn)信息搜尋成本、減少談判和交易費(fèi)用、降低履約風(fēng)險(xiǎn)、減少矛盾發(fā)生率等,顯著提高農(nóng)戶(hù)土地流轉(zhuǎn)積極性,有效提高農(nóng)村土地的使用效率,優(yōu)化農(nóng)村土地資源配置[21],農(nóng)戶(hù)所處地區(qū)土地流轉(zhuǎn)市場(chǎng)服務(wù)體系的完善程度,即外部環(huán)境的優(yōu)越性,會(huì)對(duì)農(nóng)戶(hù)的土地流轉(zhuǎn)意愿和行為產(chǎn)生顯著影響?;诖?,提出假設(shè):
H3:優(yōu)越的外部環(huán)境會(huì)正向影響農(nóng)戶(hù)的土地流轉(zhuǎn)意愿。
H4:優(yōu)越的外部環(huán)境會(huì)正向影響農(nóng)戶(hù)的土地流轉(zhuǎn)行為。
1.1.3 農(nóng)戶(hù)土地流轉(zhuǎn)意愿
農(nóng)戶(hù)土地流轉(zhuǎn)有2個(gè)階段,第1階段農(nóng)戶(hù)產(chǎn)生土地流轉(zhuǎn)意愿,第2階段是農(nóng)戶(hù)做出土地流轉(zhuǎn)行為。在第1階段,農(nóng)戶(hù)根據(jù)自身?xiàng)l件、對(duì)土地產(chǎn)權(quán)制度的認(rèn)知以及對(duì)外部環(huán)境的考量產(chǎn)生土地流轉(zhuǎn)意愿,當(dāng)農(nóng)民有土地流轉(zhuǎn)意愿時(shí),才會(huì)有可能產(chǎn)生土地流轉(zhuǎn)行為。農(nóng)戶(hù)土地流轉(zhuǎn)意愿越強(qiáng),越傾向于流轉(zhuǎn)土地?;诖耍岢黾僭O(shè):
H5:農(nóng)戶(hù)土地流轉(zhuǎn)意愿會(huì)正向影響其土地流轉(zhuǎn)行為。
1.2 理論模型構(gòu)建
基于上述分析,構(gòu)建本研究理論模型(圖1)。
圖1 研究假設(shè)和理論模型Fig.1 Research hypothesis and theory model
結(jié)構(gòu)方程模型(structural equation modeling,SEM)于1973年由瑞典統(tǒng)計(jì)學(xué)家、心理測(cè)量學(xué)家K.G. J?reskog,提出,處理潛變量與觀測(cè)變量、各潛變量間的關(guān)系。結(jié)構(gòu)方程模型由測(cè)量方程(measurement equation)和結(jié)構(gòu)方程(structural equation)組成。測(cè)量方程反映觀測(cè)變量與潛變量之間的關(guān)
系,表達(dá)式為
式中x、y表示由外生、內(nèi)生觀測(cè)變量(如反映土地流轉(zhuǎn)行為的指標(biāo)、反映土地流轉(zhuǎn)意愿和外部環(huán)境以及產(chǎn)權(quán)認(rèn)知的各項(xiàng)指標(biāo))所構(gòu)成的向量;ξ和η表示由外生、內(nèi)生潛變量(如農(nóng)戶(hù)土地流轉(zhuǎn)行為、農(nóng)戶(hù)土地流轉(zhuǎn)意愿和外部環(huán)境及產(chǎn)權(quán)認(rèn)知)組成的向量;xΛ、yΛ分別表示外生、內(nèi)生觀測(cè)變量與外生、內(nèi)生潛變量上的因子載荷矩陣;δ和ε表示x和y的誤差項(xiàng)。結(jié)構(gòu)方程反映潛變量與潛變量之間的關(guān)系,表達(dá)式為
式中B和Γ是η和ξ的系數(shù)矩陣,B表示內(nèi)生潛變量之間的關(guān)系,Γ表示外生潛變量對(duì)于內(nèi)生潛變量的影響;ζ表示殘差項(xiàng),是模型中未能解釋的部分[22-24]。
3.1 數(shù)據(jù)來(lái)源
研究數(shù)據(jù)來(lái)自2013年5月至7月陜西關(guān)中地區(qū)進(jìn)行的農(nóng)戶(hù)調(diào)研,受訪農(nóng)戶(hù)主要來(lái)自于西安、寶雞、咸陽(yáng)和楊凌三市一區(qū)。陜西關(guān)中地處渭河沖積平原,2014年常用耕地面積占陜西省51.45%,農(nóng)業(yè)增加值總量占全省比例為60.5%[25]。關(guān)中地區(qū)土質(zhì)肥沃、地勢(shì)平坦,利于進(jìn)行農(nóng)業(yè)規(guī)?;瘷C(jī)械生產(chǎn),但受限于家庭聯(lián)產(chǎn)承包責(zé)任制的土地制度,目前農(nóng)業(yè)生產(chǎn)仍是小塊分散經(jīng)營(yíng);隨著外出打工的農(nóng)村勞動(dòng)力逐漸增多,土地流轉(zhuǎn)已成規(guī)模,以轉(zhuǎn)包和互換為主;但土地流轉(zhuǎn)范圍、形式和價(jià)格等均缺乏操作依據(jù),土地流轉(zhuǎn)中介機(jī)構(gòu)的缺失限制了土地流轉(zhuǎn)速度、規(guī)模和效益的提升[26-27]。據(jù)陜西省統(tǒng)計(jì)局?jǐn)?shù)據(jù)顯示,2014年陜西土地流轉(zhuǎn)面積48.35萬(wàn)hm2,流轉(zhuǎn)土地占家庭承包土地面積15.8%,低于全國(guó)平均水平13百分點(diǎn)。說(shuō)明陜西省及關(guān)中地區(qū)的土地流轉(zhuǎn)率仍有提升空間。
為排除環(huán)境因素等非隨機(jī)因素對(duì)抽樣結(jié)果的影響以及使抽選樣本類(lèi)似于總體分布,采用隨機(jī)抽樣的辦法選擇樣本村和農(nóng)戶(hù),保證抽樣的科學(xué)性和對(duì)總體樣本的代表性。分別在各市(區(qū))的鄉(xiāng)鎮(zhèn)中隨機(jī)選擇5~6個(gè)自然村,再在每個(gè)自然村中隨機(jī)選擇約30戶(hù)農(nóng)戶(hù)進(jìn)行面對(duì)面問(wèn)答,總計(jì)發(fā)放問(wèn)卷610份,回收問(wèn)卷545份,問(wèn)卷有效率為89.51%。
選定非農(nóng)收入水平和經(jīng)營(yíng)規(guī)模作為調(diào)節(jié)變量,將非農(nóng)收入水平分為低收入(3萬(wàn)以下)、中等收入(3~6萬(wàn))和高收入(6萬(wàn)以上)3類(lèi),將經(jīng)營(yíng)規(guī)模分為小規(guī)模(0.2 hm2以下)、中等規(guī)模(0.2~0.6 hm2)和大規(guī)模(0.6 hm2以上)3類(lèi)[28],樣本農(nóng)戶(hù)的非農(nóng)收入水平和經(jīng)營(yíng)規(guī)模情況見(jiàn)表1。
表1 農(nóng)戶(hù)非農(nóng)收入和經(jīng)營(yíng)規(guī)模統(tǒng)計(jì)Table1 Statistics of non-agricultural income and operation scale
3.2 問(wèn)卷設(shè)計(jì)
4個(gè)潛變量為農(nóng)戶(hù)產(chǎn)權(quán)認(rèn)知、外部環(huán)境和農(nóng)戶(hù)土地流轉(zhuǎn)意愿及行為。產(chǎn)權(quán)認(rèn)知(property cognition,PC)包括農(nóng)戶(hù)對(duì)土地占有權(quán)、收益權(quán)、流轉(zhuǎn)權(quán)和抵押權(quán)的認(rèn)知情況,共4個(gè)觀測(cè)變量;外部環(huán)境(external environment,EE)包括農(nóng)戶(hù)對(duì)土地流轉(zhuǎn)政策穩(wěn)定性、非農(nóng)就業(yè)預(yù)期、流轉(zhuǎn)信息公開(kāi)度、流轉(zhuǎn)租金合理性、租金收入穩(wěn)定性、談判耗時(shí)度、流轉(zhuǎn)合同規(guī)范性的評(píng)價(jià),共7個(gè)觀測(cè)變量;農(nóng)戶(hù)土地流轉(zhuǎn)意愿(transfer willingness,TW)指農(nóng)戶(hù)是否愿意進(jìn)行土地流轉(zhuǎn);農(nóng)戶(hù)土地流轉(zhuǎn)行為(transfer behavior,TB)指農(nóng)戶(hù)是否有土地流轉(zhuǎn)行為。各變量的符號(hào)、賦值辦法與調(diào)查結(jié)果見(jiàn)表2。
表2 變量符號(hào)、賦值及調(diào)查結(jié)果Table2 Symbol of variables, value assignments and survey results
4.1 效度與信度檢驗(yàn)
為了確認(rèn)問(wèn)卷調(diào)查的可靠性和有效性,首先運(yùn)用SPSS21.0軟件對(duì)數(shù)據(jù)進(jìn)行KMO(Kaiser-Meyer-Olkin)統(tǒng)計(jì)量檢驗(yàn)和Bartlett球形檢驗(yàn)。檢驗(yàn)結(jié)果顯示(表3),各潛變量的KMO值均大于0.7,Bartlett球形檢驗(yàn)結(jié)果顯著(括號(hào)內(nèi)數(shù)值為P值),適合進(jìn)行因子分析。在刪除因子PC1前,農(nóng)戶(hù)產(chǎn)權(quán)認(rèn)知潛變量的KMO值為0.701, Cronbach’s α值為0.792,刪除該因子后,KMO值上升為0.742,Cronbach’s α值上升為0.812;刪除因子EE6、EE7前,外部環(huán)境潛變量的KMO值為0.638,Cronbach’s α值為0.786,刪除上述2個(gè)因子后,KMO值上升為0.731,Cronbach’s α值上升為0.844。刪除上述3個(gè)因子之后,KMO值和Cronbach's α值均有所提高,說(shuō)明潛變量通過(guò)了效度和信度檢驗(yàn),可靠性和可信性較強(qiáng),適合做進(jìn)一步研究。由于因子PC1直接涉及假設(shè)H1-1和H2-1,因此刪除因子PC1后,研究中不再考慮上述2個(gè)假設(shè)。
表3 效度與信度分析結(jié)果Table3 Results of validity and reliability analysis
4.2 模型整體適配度檢驗(yàn)
采用AMOS21軟件,利用調(diào)研數(shù)據(jù)對(duì)結(jié)構(gòu)方程模型進(jìn)行驗(yàn)證。結(jié)合模型適配度擬合結(jié)果(表4)和模型評(píng)價(jià)標(biāo)準(zhǔn)可知,各評(píng)價(jià)指標(biāo)值均滿(mǎn)足評(píng)價(jià)標(biāo)準(zhǔn),說(shuō)明結(jié)構(gòu)方程模型和觀測(cè)數(shù)據(jù)的整體擬合度可接受,能夠用模型估計(jì)結(jié)果驗(yàn)證研究假設(shè)。
表4 結(jié)構(gòu)方程模型適配度擬合結(jié)果Table4 Results of goodness-of-fit of structural equation modeling(SEM)
4.3 研究假設(shè)檢驗(yàn)
路徑系數(shù)的方向(正負(fù))和顯著性水平是判斷假設(shè)是否成立的2個(gè)基本依據(jù),從估計(jì)結(jié)果來(lái)看(表5),除農(nóng)戶(hù)對(duì)土地流轉(zhuǎn)權(quán)(PC3)和土地抵押權(quán)(PC4)與土地流轉(zhuǎn)行為(TB)之間的路徑系數(shù)沒(méi)有通過(guò)顯著性檢驗(yàn)外,其余各變量間的系數(shù)均通過(guò)了顯著性檢驗(yàn)。說(shuō)明提出的研究假設(shè)中,應(yīng)拒絕假設(shè)H2-3和H2-4,其余假設(shè)均可接受。
表5 結(jié)構(gòu)方程模型路徑系數(shù)估計(jì)結(jié)果Table5 Results of path coefficient of SEM model
圖2為潛變量對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)行為的影響效應(yīng)。從直接效應(yīng)看,產(chǎn)權(quán)認(rèn)知對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)意愿影響最大;農(nóng)戶(hù)土地流轉(zhuǎn)意愿對(duì)土地流轉(zhuǎn)行為影響最大。從間接效應(yīng)看,產(chǎn)權(quán)認(rèn)知通過(guò)農(nóng)戶(hù)土地流轉(zhuǎn)意愿對(duì)土地流轉(zhuǎn)行為產(chǎn)生的影響大于外部環(huán)境。從總效應(yīng)看,農(nóng)戶(hù)土地流轉(zhuǎn)意愿對(duì)土地流轉(zhuǎn)行為影響最大,其次是外部環(huán)境,產(chǎn)權(quán)認(rèn)知影響最小,因此需優(yōu)化土地流轉(zhuǎn)外部環(huán)境。綜合來(lái)看,農(nóng)戶(hù)土地流轉(zhuǎn)行受其產(chǎn)權(quán)認(rèn)知、外部環(huán)境及其土地流轉(zhuǎn)意愿影響,但非農(nóng)收入水平和經(jīng)營(yíng)規(guī)模作為影響農(nóng)戶(hù)決策的關(guān)鍵變量,也會(huì)對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)意愿和行為產(chǎn)生影響,因此需通過(guò)分群組的方式做進(jìn)一步實(shí)證檢驗(yàn)。
圖2 潛變量對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)行為的影響效應(yīng)Fig.2 Influence effect of latent variables to farmers land transfer behavior
4.4 分群組的結(jié)構(gòu)方程檢驗(yàn)
多群組結(jié)構(gòu)方程分析主要用于評(píng)估適配于某一樣本的模型在不同樣本群體之間是否同樣適配[15-16]。本文以農(nóng)戶(hù)非農(nóng)收入水平和經(jīng)營(yíng)規(guī)模作為調(diào)節(jié)變量。按照多群組結(jié)構(gòu)方程模型的分析思路,通過(guò)對(duì)模型參數(shù)進(jìn)行不同的限制來(lái)找到最適配的路徑模型,因此首先需對(duì)預(yù)設(shè)模型(即對(duì)模型不做任何參數(shù)限制)、協(xié)方差相等模型、方差相等模型、路徑系數(shù)相等模型和系統(tǒng)不變性模型(即設(shè)定兩個(gè)模型的方差相等、協(xié)方差相等、回歸系數(shù)相等)5個(gè)模型的適配度進(jìn)行比較(表6)。本文選擇協(xié)方差相等模型作為多群組分析模型,原因在于路徑系數(shù)相等模型和系統(tǒng)不變性模型無(wú)法分析各因素對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)意愿及行為影響的差異,在剩余3組模型中,P值和卡方自由度比值2個(gè)重要指標(biāo)[29]的擬合情況最好的是協(xié)方差相等模型,因此選擇協(xié)方差相等模型作為多群組分析模型。
表6 多群組結(jié)構(gòu)方程模型適配度擬合結(jié)果Table6 Fitting results of goodness-of-fit of multi-group structural equation modeling
由模型標(biāo)準(zhǔn)化路徑系數(shù)β結(jié)果可知(表7),非農(nóng)收入高、經(jīng)營(yíng)規(guī)模大的農(nóng)戶(hù)對(duì)土地收益權(quán)的認(rèn)知對(duì)其土地流轉(zhuǎn)意愿(β=?0.145***、β=?0.141***)和土地流轉(zhuǎn)行為(β=?0.201***、β=?0.192***)的影響最大;非農(nóng)收入低、經(jīng)營(yíng)規(guī)模大的農(nóng)戶(hù)對(duì)土地抵押權(quán)的認(rèn)知對(duì)其土地流轉(zhuǎn)意愿(β=0.448***、β=0.401***)的影響最大。自從家庭聯(lián)產(chǎn)承包責(zé)任制開(kāi)始施行以來(lái),農(nóng)民有權(quán)承包土地,并享有按其意愿進(jìn)行農(nóng)業(yè)生產(chǎn)經(jīng)營(yíng)的權(quán)利。多年來(lái),農(nóng)民的農(nóng)業(yè)生產(chǎn)所得全部由其自由支配,因此農(nóng)民對(duì)土地收益權(quán)感知最明顯。正是由于農(nóng)民對(duì)土地收益權(quán)的私有認(rèn)知,導(dǎo)致對(duì)農(nóng)業(yè)生產(chǎn)依賴(lài)度低、非農(nóng)收入高的農(nóng)民為了獲得更多收入將土地流轉(zhuǎn)以獲得流轉(zhuǎn)收益。經(jīng)營(yíng)規(guī)模大的農(nóng)民為了擴(kuò)大農(nóng)業(yè)生產(chǎn)規(guī)模、獲得更多的農(nóng)業(yè)收入而流轉(zhuǎn)土地,因此土地收益權(quán)顯著影響農(nóng)戶(hù)的土地流轉(zhuǎn)意愿和土地流轉(zhuǎn)行為。土地抵押權(quán)認(rèn)知對(duì)非農(nóng)收入低、經(jīng)營(yíng)規(guī)模大的農(nóng)戶(hù)群體的土地流轉(zhuǎn)意愿影響更大,耕地面積大能夠獲得更多的貸款,這部分農(nóng)民希望通過(guò)抵押土地獲得充足的資金轉(zhuǎn)移到非農(nóng)行業(yè),轉(zhuǎn)變生活方式、獲得更加穩(wěn)定的收入,因此產(chǎn)生較強(qiáng)的土地流轉(zhuǎn)意愿。另外,農(nóng)民對(duì)土地抵押權(quán)的認(rèn)知在各個(gè)非農(nóng)收入水平分組中對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)意愿的影響均最大,說(shuō)明農(nóng)戶(hù)對(duì)土地抵押權(quán)的認(rèn)知是影響其土地流轉(zhuǎn)意愿的關(guān)鍵變量,因此賦予農(nóng)民土地抵押權(quán)能夠在一定程度上提高農(nóng)民土地流轉(zhuǎn)積極性。農(nóng)戶(hù)對(duì)土地抵押權(quán)的認(rèn)知對(duì)其土地流轉(zhuǎn)意愿有顯著影響,因此可在優(yōu)化土地流轉(zhuǎn)外部環(huán)境的同時(shí),進(jìn)一步擴(kuò)大土地承包經(jīng)營(yíng)權(quán)抵押權(quán)試點(diǎn)范圍,鼓勵(lì)農(nóng)民通過(guò)抵押、擔(dān)保、轉(zhuǎn)讓等多種形式進(jìn)行土地流轉(zhuǎn)。
值得注意的是,經(jīng)過(guò)多群組分析之后,農(nóng)戶(hù)對(duì)土地流轉(zhuǎn)權(quán)的認(rèn)知情況對(duì)其土地流轉(zhuǎn)意愿的影響并沒(méi)有通過(guò)顯著性檢驗(yàn),說(shuō)明按非農(nóng)收入水平或經(jīng)營(yíng)規(guī)模分組后,農(nóng)戶(hù)對(duì)土地流轉(zhuǎn)權(quán)的認(rèn)知對(duì)其土地流轉(zhuǎn)意愿的影響在各組別間無(wú)顯著差異,這可能與國(guó)家近年大力推進(jìn)土地流轉(zhuǎn)有關(guān),農(nóng)民可自由行使土地流轉(zhuǎn)權(quán),而不受非農(nóng)收入水平或經(jīng)營(yíng)規(guī)模顯著影響。
表7 多群組分析結(jié)果Table7 Results of multi-group structural equation modeling analysis
外部環(huán)境對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)意愿和流轉(zhuǎn)行為的影響中,非農(nóng)收入高、經(jīng)營(yíng)規(guī)模小的農(nóng)戶(hù)所處外部環(huán)境條件對(duì)土地流轉(zhuǎn)意愿(β=0.221***、β=0.235***)和土地流轉(zhuǎn)行為(β=0.499***、β=0.571***)的影響最大。非農(nóng)收入水平高的農(nóng)戶(hù)家庭,有更加充足的資金為家庭成員提供接受教育和技能培訓(xùn)的機(jī)會(huì),這部分農(nóng)戶(hù)家庭成員對(duì)政策理解更透徹、非農(nóng)就業(yè)能力更強(qiáng)、維護(hù)自身合法權(quán)益的意識(shí)更強(qiáng)、對(duì)市場(chǎng)信息的把握更準(zhǔn)確,更傾向于流轉(zhuǎn)土地以提高收入水平。外部環(huán)境變量通過(guò)顯著性檢驗(yàn)且各系數(shù)均為正,說(shuō)明受訪農(nóng)戶(hù)的土地流轉(zhuǎn)意愿及行為受到土地流轉(zhuǎn)政策、對(duì)在城鎮(zhèn)成功就業(yè)的預(yù)期、土地流轉(zhuǎn)信息、土地流轉(zhuǎn)價(jià)格和流轉(zhuǎn)租金收入穩(wěn)定性的顯著影響,當(dāng)農(nóng)戶(hù)認(rèn)為外部環(huán)境條件利于土地流轉(zhuǎn)時(shí),作為理性人會(huì)做出對(duì)自己最有利的行為選擇,受經(jīng)營(yíng)規(guī)模制約,農(nóng)民提高農(nóng)業(yè)生產(chǎn)效益、農(nóng)業(yè)收入水平能力有限,也不具備條件進(jìn)行機(jī)械化生產(chǎn),因此會(huì)傾向于通過(guò)土地流轉(zhuǎn)獲得更高的租金收入。
在土地流轉(zhuǎn)意愿對(duì)土地流轉(zhuǎn)行為的影響中,從非農(nóng)收入水平看,非農(nóng)收入水平高的農(nóng)戶(hù)其土地流轉(zhuǎn)意愿(β=0.583***)對(duì)土地流轉(zhuǎn)行為的影響最顯著,中等收入次之。從經(jīng)營(yíng)規(guī)模看,經(jīng)營(yíng)規(guī)模小的農(nóng)戶(hù)其土地流轉(zhuǎn)意愿對(duì)土地流轉(zhuǎn)行為(β=0.588***)的影響最顯著,大規(guī)模次之。說(shuō)明當(dāng)農(nóng)戶(hù)產(chǎn)生土地流轉(zhuǎn)意愿時(shí),家庭非農(nóng)收入高和經(jīng)營(yíng)規(guī)模小的農(nóng)戶(hù)更容易將意愿轉(zhuǎn)化為行為,更容易土地流轉(zhuǎn)。土地流轉(zhuǎn)補(bǔ)貼或其他優(yōu)惠政策可適當(dāng)向這部分農(nóng)戶(hù)群體傾斜,激勵(lì)有流轉(zhuǎn)意愿的農(nóng)戶(hù)進(jìn)行有效的土地流轉(zhuǎn),進(jìn)而提高土地流轉(zhuǎn)率。
雖然其他研究[4-6,18-20,30-32]在分析土地流轉(zhuǎn)影響因素時(shí)考慮了地權(quán)穩(wěn)定性、政策條件、制度環(huán)境、流轉(zhuǎn)價(jià)格等因素,但均將研究對(duì)象作為一個(gè)整體,沒(méi)有考慮到不同樣本特定特征對(duì)研究結(jié)果的影響,本文采用多群組結(jié)構(gòu)方程模型,以農(nóng)戶(hù)家庭非農(nóng)收入水平和經(jīng)營(yíng)規(guī)模作為調(diào)節(jié)變量,將農(nóng)戶(hù)進(jìn)行分組,探究研究結(jié)果在不同樣本群組之間的適配情況,正是對(duì)已有研究的拓展。但非農(nóng)收入水平和經(jīng)營(yíng)規(guī)模對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)行為產(chǎn)生的交互作用本文未能解決,有待進(jìn)一步研究。
本文利用多群組結(jié)構(gòu)方程模型,將農(nóng)戶(hù)家庭非農(nóng)收入和經(jīng)營(yíng)規(guī)模作為調(diào)節(jié)變量,以陜西關(guān)中地區(qū)農(nóng)戶(hù)調(diào)研數(shù)據(jù)進(jìn)行實(shí)證分析,探究了農(nóng)戶(hù)產(chǎn)權(quán)認(rèn)知、外部環(huán)境對(duì)其土地流轉(zhuǎn)行為的影響,得出以下結(jié)論:
1)將受訪農(nóng)戶(hù)整體按照不同特征劃分成不同群體,能夠分析各因素對(duì)不同類(lèi)別農(nóng)戶(hù)土地流轉(zhuǎn)行為的影響;通過(guò)設(shè)置模型參數(shù)找到最適配的路徑模型,能夠找到不同非農(nóng)收入水平、不同經(jīng)營(yíng)規(guī)模農(nóng)戶(hù)的土地流轉(zhuǎn)行為受其產(chǎn)權(quán)認(rèn)知和外部環(huán)境影響的差異。
2)外部環(huán)境對(duì)土地流轉(zhuǎn)行為產(chǎn)生的總效應(yīng)(0.607)大于產(chǎn)權(quán)認(rèn)知(0.523),且農(nóng)戶(hù)對(duì)土地抵押權(quán)的認(rèn)知對(duì)其土地流轉(zhuǎn)意愿有顯著影響,因此可在優(yōu)化土地流轉(zhuǎn)外部環(huán)境的同時(shí),進(jìn)一步擴(kuò)大土地承包經(jīng)營(yíng)權(quán)抵押權(quán)試點(diǎn)范圍,鼓勵(lì)農(nóng)民通過(guò)抵押、擔(dān)保、轉(zhuǎn)讓等多種形式進(jìn)行土地流轉(zhuǎn)。
3)無(wú)論從產(chǎn)權(quán)認(rèn)知角度還是外部環(huán)境角度,非農(nóng)收入水平高、耕地經(jīng)營(yíng)規(guī)模小的農(nóng)戶(hù)更愿意將土地流轉(zhuǎn)出去,土地流轉(zhuǎn)補(bǔ)貼或其他優(yōu)惠政策可適當(dāng)向這部分農(nóng)戶(hù)群體傾斜,激勵(lì)有流轉(zhuǎn)意愿的農(nóng)戶(hù)進(jìn)行有效的土地流轉(zhuǎn),進(jìn)而提高土地流轉(zhuǎn)率。
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Modeling analysis on influence of property cognition and external environment on land transfer behavior of farmer
Gao Jia, Song Ge※
(School of Humanities and Law, Northeastern University, Shenyang 110169, China)
A large number of excellent farmers are attracted to cities during the rapid progress of urbanization in the last decades. The direct consequence of the large scale farmers’ transfer is the increasingly abandoned and idle farmland resources in rural areas. Thus it is quite necessary to encourage farmers who do not desire to do farm work any more to transfer their land to farmers who still want to continue farming, so that the abandoned and idle farmland resources can be reused again, and the use efficiency of farmland resources and the income level of remaining farmers can be improved as well. Although the central government of China has applied various policies to promote the farmland transfer for many years, there are still many obstacles during the process of pushing farmland transfer. The low rent comes in the first, which prevents the process, because there are no transfer agencies to formulate the standard price, provide transfer information and offer service for farmers who tend to transfer their land. In addition, the lack of the social security for rural people is another important obstacle, and thus farmers are cautious when making farmland transfer decision. However, it is of great importance to promote farmland transfer, as many parties could be benefited. As farmers are economically rational, when they need to make decision whether to transfer their land, their property cognition and preference degree of farmland, the external policy and mechanism environment will be all taken into consideration. Farmers’ property cognition and preference will influence their commercial behavior and the transfer way, and the external policies and mechanism environment of course impact the price of land transfer and the operation of land market. Therefore, it is necessary to take farmers’ farmland property cognition and the external environment into consideration during the research of farmers’ land transfer behavior. During the research, if all sample farmers are considered as an entire party, the specific features of some farmers are often be ignored. So farmers can be divided into different groups by different specific features during the research, and the effects of different factors on different farmer groups’ farmland transfer are analyzed. For the purpose of testing the influence of property cognition of farmers and the external environment condition on the behavior of land transfer of farmers, data of 545 households in Guanzhong area, Shaanxi Province were used to do the analysis. The non-agricultural income level and operation scale were set as the adjusted variables in the multi-group structural equation model. The results showed that, farmers’ land transfer will and behavior were influenced significantly by the property cognition of farmers and the external environment. Farmers’ behaviors of land transfer were greatly impacted by their will of land transfer, followed by the external environment. The results of the multi-group structural equation model indicated that farmers’ land transfer willingness were influenced significantly by their private cognition of land mortgage right, and farmers with high-level non-agricultural income and small operation scale tended to turn their land transfer will to action.
land use; farms; models; land management; urbanization; property cognition; external environment; land transfer; Multi-group SEM
10.11975/j.issn.1002-6819.2017.05.036
F301.2
A
1002-6819(2017)-05-0248-09
高 佳,宋 戈.產(chǎn)權(quán)認(rèn)知及外部環(huán)境對(duì)農(nóng)戶(hù)土地流轉(zhuǎn)行為影響模型分析[J]. 農(nóng)業(yè)工程學(xué)報(bào),2017,33(5):248-256.
10.11975/j.issn.1002-6819.2017.05.036 http://www.tcsae.org
Gao Jia, Song Ge. Modeling analysis on influence of property cognition and external environment on land transfer behavior of farmer[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(5): 248-256. (in Chinese with English abstract) doi:10.11975/j.issn.1002-6819.2017.05.036 http://www.tcsae.org
2016-06-19
2017-02-10
中國(guó)博士后科學(xué)基金項(xiàng)目(2016M601325);中央高?;究蒲袠I(yè)務(wù)費(fèi)項(xiàng)目(N152010002-8)
高 佳,女,遼寧丹東人,講師,博士后。主要從事土地經(jīng)濟(jì)與管理研究。沈陽(yáng) 東北大學(xué)文法學(xué)院,110169。Email:jiagao.neu@hotmail.com※通信作者:宋 戈,女,黑龍江慶安人,教授,博士,博士生導(dǎo)師,主要從事土地利用與管理研究。沈陽(yáng) 東北大學(xué)文法學(xué)院,110169。
Email:songgelaoshi@163.com