1、“絲綢之路經(jīng)濟(jì)帶”西北五省鄉(xiāng)村旅游模范村空間分異及影響因素
【作者】王松茂,何昭麗,郭英之
【Author】WANG Songmao, HE Zhaoli, GUO Yingzhi;Fudan university business administration postdoctoral mobile station; College of Economics & Management, Shandong Agricultural University; Nanjing University of Finance and Economics School of Business Administration; Fudan university tourism department;
【機(jī)構(gòu)】復(fù)旦大學(xué)工商管理博士后流動站;山東農(nóng)業(yè)大學(xué)經(jīng)濟(jì)管理學(xué)院;南京財經(jīng)大學(xué)工商管理學(xué)院;復(fù)旦大學(xué)旅游學(xué)系;
【摘要】以西北五省156個鄉(xiāng)村旅游模范村為研究樣本,運(yùn)用最鄰近指數(shù)、核密度估計值、空間自相關(guān)等空間分析方法,研究西北五省鄉(xiāng)村旅游模范村的空間分異特征及影響因素。結(jié)果表明:①西北五省鄉(xiāng)村旅游模范村空間分異最鄰近指數(shù)R=0.627,泰森多邊形檢驗(yàn)的變異系數(shù)為142.30%,符合凝聚分布模式。②西北五省鄉(xiāng)村旅游模范村空間分異全局莫蘭指數(shù)為0.125,存在顯著的空間正相關(guān)。③西北五省鄉(xiāng)村旅游模范村的高密度集聚區(qū)主要集中于三個分布區(qū):寧夏回族自治區(qū)鄉(xiāng)村旅游模范村分布區(qū);陜西省中南部鄉(xiāng)村旅游模范村分布區(qū);青海省東部與甘肅省交界處鄉(xiāng)村旅游模范村分布區(qū)。④西北五省鄉(xiāng)村旅游模范村空間分異特征受到交通區(qū)位、湖泊水系、客源市場影響較大,呈現(xiàn)出“沿路”、“環(huán)湖”、“繞城”等空間分異格局。文章最后根據(jù)分析結(jié)論提出相應(yīng)的政策建議。
【關(guān)鍵詞】絲綢之路經(jīng)濟(jì)帶;鄉(xiāng)村旅游模范村;旅游扶貧;湖泊水系;歷史文化遺產(chǎn);鄉(xiāng)村振興戰(zhàn)略;西部民俗風(fēng)情文化;
【基金】國家自然科學(xué)基金項(xiàng)目(41661110);新疆自治區(qū)自然基金面上項(xiàng)目(2016D01C047);中國博士后面上基金項(xiàng)目(2018M632028);山東省“雙一流”獎補(bǔ)資金(SYL2017XTTD08);
【所屬期刊】經(jīng)濟(jì)地理,2019,4.
2、生豬養(yǎng)殖規(guī)模化程度的影響因素及其空間效應(yīng)——基于13個生豬養(yǎng)殖優(yōu)勢省份的研究
【作者】張圓圓,吳強(qiáng),孫世民
【Author】ZHANG Yuanyuan, WU Qiang, SUN Shimin; College of Economics & Management, Shandong Agricultural University;
【機(jī)構(gòu)】山東農(nóng)業(yè)大學(xué)經(jīng)濟(jì)管理學(xué)院;
【摘要】基于2007~2015年的相關(guān)統(tǒng)計數(shù)據(jù),本文首先利用生豬規(guī)模養(yǎng)殖指數(shù)分析了13個生豬養(yǎng)殖優(yōu)勢省份的生豬規(guī)模養(yǎng)殖發(fā)展?fàn)顩r及其省際差異,然后通過建立空間杜賓模型分析了生豬養(yǎng)殖規(guī)模化程度的影響因素及其空間效應(yīng)。研究結(jié)果表明:第一,生豬規(guī)模養(yǎng)殖整體上呈現(xiàn)向華北地區(qū)和東北地區(qū)富集的基本趨勢,但目前生豬養(yǎng)殖規(guī)模化程度仍較低;第二,農(nóng)民文化程度越高,城鎮(zhèn)化水平越低,工資性收入比例越高,豬肉消費(fèi)能力越大,豬肉價格指數(shù)越低,交通通達(dá)性越好,生豬出欄能力越大,環(huán)境規(guī)制強(qiáng)度越大,省域的生豬養(yǎng)殖規(guī)模化程度會越高;第三,由于土地承載力、城鎮(zhèn)化水平、工資性收入比例、消費(fèi)市場潛力、豬肉消費(fèi)能力、交通通達(dá)性、農(nóng)民固定資產(chǎn)投資能力、環(huán)境規(guī)制強(qiáng)度這 8 個影響因素產(chǎn)生了外溢效應(yīng),生豬養(yǎng)殖規(guī)模化程度的提升存在空間依賴性。因此,發(fā)展生豬規(guī)模養(yǎng)殖需充分考慮空間相關(guān)性和外溢性,既要提高工資性收入比例、消費(fèi)市場潛力和豬肉消費(fèi)能力,改善交通通達(dá)性,增強(qiáng)農(nóng)民固定資產(chǎn)投資能力,提高環(huán)境規(guī)制強(qiáng)度,同時也要考慮土地承載力和城鎮(zhèn)化水平的抑制作用。
【關(guān)鍵詞】生豬;規(guī)模養(yǎng)殖;省際差異;空間效應(yīng);
【基金】山東省社會科學(xué)規(guī)劃項(xiàng)目“山東畜禽養(yǎng)殖場戶清潔生產(chǎn)行為演進(jìn)機(jī)制及優(yōu)化策略研究”(編號:18DGLJ08);
國家社會科學(xué)基金項(xiàng)目“基于供應(yīng)鏈的畜產(chǎn)品質(zhì)量控制策略研究”(編號:15BGL136)的階段性研究成果;
【所屬期刊】中國農(nóng)村經(jīng)濟(jì),2019,1.
3、Ergonomic and efficiency analysis of conventional apple harvest process
【作者】Zhao Zhang1, Yuanjie Wang2, Zhaohua Zhang3*, Dapeng Li4
【機(jī)構(gòu)】1. Department of Agricultural and Biological Engineering, Pennsylvania State University, State College, PA 16803, USA; 2. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 3. College of Economics and Management, Shandong Agricultural University, Tai’an, Shandong, 271018, China; 4. Shanghai Nuclear Engineering Research and Design Institute, Shanghai, 200233, China;
【摘要】Apples are still manually harvested by workers using ladders and buckets. Though it is known that manual apple harvest would probably lead to occupational injuries (e.g., back, neck, and shoulder strains), there has been little research that focuses on identifying the awkward activities/postures of pickers during the harvest process. After categorizing apple harvest work into 12 activities, this study used the method of Rapid Upper Limb Assessment (RULA) to identify awkward postures/activities that occurred during apple harvest. Awkward activities confirmed include descending a ladder, dumping apples, picking high and low apples on a ladder as well as on the ground, and moving a ladder, with potential reasons for each awkward activity provided. Meanwhile, it was demonstrated that pickers spent approximately 64% of working time under awkward postures that would lead to occupational diseases. In addition, this study analyzed picker harvest efficiency in terms of general and detail manners. The general mode assessed harvest activity in terms of picking and non-picking, with results showing that pickers averagely spent 76% (±7%) of harvest time in picking apples. Further analysis evaluated picking activities in terms of reaching to, detaching, and transporting apples, with results showing that pickers spent averagely 30% (±6%) of time in detaching apples, which is the value time during apple harvest. Furthermore, valuable picking time ratio was obtained as the multiplication of picking time ratio and detaching time ratio. With a valuable ratio of 22% (±5%), it theoretically demonstrated the low harvest efficiency of the traditional harvest method. Since a majority of the awkward activities and the low efficiency were because of the ladders/buckets, using a harvest-assist unit may be a potential solution. Additionally, more efforts should be spent on the development of innovative mechanism to replace worker in placing attached apples to the bucket. Once the time for transporting apples is eliminated, the time for reaching to apples is also removed, indicating the harvest efficiency would be improved significantly.
【關(guān)鍵詞】Rapid upper limb assessment;Awkward postures;Apple harvest;Safety;Ergonomic analysis;Harvest efficiency analysis
【所屬期刊】International Journal of Agricultural& Biological Engineering, 2019, 12(2).
4、國際農(nóng)業(yè)面源污染研究演進(jìn)與前沿——基于CiteSpace的量化分析
【作者】曹文杰趙瑞瑩
【Author】CAO Wenjie, ZHAO Ruiying; College of Economics & Management, Shandong Agricultural University; Shandong University of Finance and Economics School of Public Administration;
【機(jī)構(gòu)】山東農(nóng)業(yè)大學(xué)經(jīng)濟(jì)管理學(xué)院;山東財經(jīng)大學(xué)公共管理學(xué)院;
【摘要】文中借助文獻(xiàn)計量分析軟件CiteSpace,基于Web of Science數(shù)據(jù)庫核心數(shù)據(jù)合集,對國際農(nóng)業(yè)面源污染研究的主題演進(jìn)及前沿進(jìn)行可視化分析。研究發(fā)現(xiàn):國際農(nóng)業(yè)面源污染研究聚類主題眾多且各主題形成時間各異持續(xù)時間不一,主題間連線表明其螺旋式動態(tài)演進(jìn)過程。在知識溢出的推動下,農(nóng)業(yè)面源污染研究呈現(xiàn)出較強(qiáng)的波段特征,先后經(jīng)歷了概念化階段、以污染因素分析及污染物遷移機(jī)理為特征的細(xì)化研究及研究工具建設(shè)階段、以計算機(jī)模型模擬為主的工具研究豐富階段以及當(dāng)前以治理為主題的研究擴(kuò)張階段。目前仍然活躍的聚類主題包括水質(zhì)管理政策、模型模擬技術(shù)的適用與拓展及最佳管理實(shí)踐。聚類發(fā)展趨勢表明,水質(zhì)政策響應(yīng)滯后時間量化、生態(tài)網(wǎng)絡(luò)分析、最佳管理實(shí)踐的適用性及成本效益等是當(dāng)前的前沿研究領(lǐng)域。高突現(xiàn)關(guān)鍵字“系統(tǒng)”、“政策”、“水質(zhì)量”等預(yù)示著當(dāng)前研究熱點(diǎn)指向系統(tǒng)研究及污染治理政策研究。
【關(guān)鍵詞】農(nóng)業(yè)面源污染;研究綜述;CiteSpace;WOS數(shù)據(jù)庫;
【基金】國家社會科學(xué)基金項(xiàng)目(14CGL043)資助;
【所屬期刊】干旱區(qū)資源與環(huán)境,2019,7.
5、新一輪農(nóng)地確權(quán)對農(nóng)地流轉(zhuǎn)數(shù)量與質(zhì)量的影響研究——基于中國農(nóng)村家庭追蹤調(diào)查(CRHPS)數(shù)據(jù)
【作者】朱建軍,楊興龍
【Author】ZHU Jianjun, YANG Xinglong; College of Economics & Management, Shandong Agricultural University; Jilin Agricultural University School of Economics and Management;
【機(jī)構(gòu)】山東農(nóng)業(yè)大學(xué)經(jīng)濟(jì)管理學(xué)院;吉林農(nóng)業(yè)大學(xué)經(jīng)濟(jì)管理學(xué)院;
【摘要】本文利用2015年中國農(nóng)村家庭追蹤調(diào)查(CRHPS)數(shù)據(jù)系統(tǒng)分析新一輪農(nóng)地確權(quán)對農(nóng)地流轉(zhuǎn)數(shù)量和質(zhì)量的影響。研究發(fā)現(xiàn),新一輪農(nóng)地確權(quán)促進(jìn)農(nóng)地流轉(zhuǎn)數(shù)量的增加,使農(nóng)戶參與農(nóng)地轉(zhuǎn)出的概率平均提高6. 36%,同時使農(nóng)戶農(nóng)地轉(zhuǎn)出面積增加0. 538畝;在農(nóng)地流轉(zhuǎn)質(zhì)量上,新一輪農(nóng)地確權(quán)促使農(nóng)戶將農(nóng)地有償流轉(zhuǎn)給非本村或新型農(nóng)業(yè)生產(chǎn)經(jīng)營主體,促進(jìn)農(nóng)地流轉(zhuǎn)的市場化,但確權(quán)并未促進(jìn)農(nóng)地流轉(zhuǎn)期限的長期化。因此,應(yīng)繼續(xù)推進(jìn)新一輪農(nóng)地確權(quán),做好收尾工作,同時進(jìn)一步完善農(nóng)地流轉(zhuǎn)相關(guān)配套措施,為有效發(fā)揮農(nóng)地確權(quán)效果提供條件。
【關(guān)鍵詞】農(nóng)地確權(quán);農(nóng)地流轉(zhuǎn);數(shù)量;質(zhì)量;
【基金】教育部人文社會科學(xué)研究青年基金項(xiàng)目(編號:17YJC790213);教育部人文社會科學(xué)規(guī)劃基金項(xiàng)目(編號:16YJA790057);山東省自然科學(xué)基金青年基金項(xiàng)目(編號:ZR2016GQ10);山東省高校人文社科研究計劃項(xiàng)目(編號:J16WF64);
【所屬期刊】農(nóng)業(yè)技術(shù)經(jīng)濟(jì),2019,3.
6、家庭農(nóng)場經(jīng)營效率及其差異分析——基于山東234個示范家庭農(nóng)場的調(diào)查
【作者】李紹亭,周霞,周玉璽
【Author】LI Shaoting, ZHOU Xia, ZHOU Yuxi; College of Economics & Management, Shandong Agricultural University;
【機(jī)構(gòu)】山東農(nóng)業(yè)大學(xué)經(jīng)濟(jì)管理學(xué)院;
【摘要】[目的]文章通過對山東省家庭農(nóng)場經(jīng)營效率的實(shí)證分析,旨在厘清技術(shù)、規(guī)模對農(nóng)場經(jīng)營效率的促進(jìn)作用,通過比較分析找出各類型家庭農(nóng)場短板,針對性地提出政策建議。[方法]以山東234個家庭農(nóng)場數(shù)據(jù)為例,運(yùn)用DEA模型對家庭農(nóng)場全樣本及純種植、種養(yǎng)結(jié)合、種植兼休閑、種養(yǎng)兼休閑4類家庭農(nóng)場的經(jīng)營效率進(jìn)行了測算和分解。[結(jié)果]首先,家庭農(nóng)場綜合技術(shù)效率僅為0. 170,純技術(shù)效率和規(guī)模效率分別為0. 235和0. 786,規(guī)模效率相對充分純技術(shù)效率不足是經(jīng)營效率較低的主要原因;其次,種養(yǎng)結(jié)合類農(nóng)場發(fā)展勢頭較好,純種植類家庭農(nóng)場發(fā)展滯后且綜合技術(shù)效率和純技術(shù)效率最低,種養(yǎng)兼休閑類農(nóng)場的規(guī)模效率最低。[結(jié)論]4 類農(nóng)場差異明顯,應(yīng)降低生產(chǎn)技術(shù)使用門檻,引導(dǎo)農(nóng)場主參加職業(yè)教育,提升純種植類農(nóng)場純技術(shù)效率,同時出臺相關(guān)政策,實(shí)現(xiàn)土地流轉(zhuǎn)的降費(fèi)提效,改善種養(yǎng)兼休閑類農(nóng)場規(guī)模效率。
【關(guān)鍵詞】家庭農(nóng)場;經(jīng)營效率;DEA模型;規(guī)模效率;純技術(shù)效率;
【基金】山東省社科規(guī)劃項(xiàng)目“山東省農(nóng)業(yè)供給側(cè)結(jié)構(gòu)性改革驅(qū)動機(jī)制研究”(17CZKJ11);山東省驢產(chǎn)業(yè)項(xiàng)目“山東省驢產(chǎn)業(yè)體系產(chǎn)業(yè)經(jīng)濟(jì)崗位”(SDAIT-27);
【所屬期刊】中國農(nóng)業(yè)資源與區(qū)劃,2019,6.
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