本文關(guān)鍵詞： 家庭生命周期 農(nóng)村勞動(dòng)力 非農(nóng)轉(zhuǎn)移　出處：《中國(guó)農(nóng)村觀(guān)察》2017年06期 　論文類(lèi)型：期刊論文

【摘要】：本文構(gòu)建了一個(gè)適合中國(guó)農(nóng)村情境的家庭生命周期階段劃分標(biāo)準(zhǔn),依據(jù)家庭人口特征將家庭劃分為起步期、撫養(yǎng)期、負(fù)擔(dān)期、穩(wěn)定期、贍養(yǎng)期和空巢期6個(gè)階段,并基于可持續(xù)生計(jì)分析框架,利用2016年湖北省農(nóng)村調(diào)查數(shù)據(jù),對(duì)處于不同生命周期階段的農(nóng)村家庭勞動(dòng)力非農(nóng)轉(zhuǎn)移的影響因素進(jìn)行了分析。結(jié)果表明,家庭生命周期對(duì)農(nóng)村勞動(dòng)力非農(nóng)轉(zhuǎn)移有顯著影響,相比于起步期家庭,其他生命周期階段家庭發(fā)生勞動(dòng)力非農(nóng)轉(zhuǎn)移的概率更大。不同生命周期階段的農(nóng)村家庭勞動(dòng)力非農(nóng)轉(zhuǎn)移的影響因素有明顯差異,起步期家庭的勞動(dòng)力非農(nóng)轉(zhuǎn)移概率受人均土地經(jīng)營(yíng)面積的負(fù)向影響;家庭規(guī)模大、人口負(fù)擔(dān)系數(shù)小、有勞動(dòng)力接受了專(zhuān)業(yè)技能培訓(xùn)的撫養(yǎng)期家庭、負(fù)擔(dān)期家庭和穩(wěn)定期家庭,其勞動(dòng)力非農(nóng)轉(zhuǎn)移概率高;撫養(yǎng)期家庭的勞動(dòng)力非農(nóng)轉(zhuǎn)移概率還受戶(hù)主年齡和生產(chǎn)性固定資產(chǎn)數(shù)量的負(fù)向影響,而負(fù)擔(dān)期家庭的勞動(dòng)力非農(nóng)轉(zhuǎn)移概率還受戶(hù)主年齡的正向影響以及人均土地經(jīng)營(yíng)面積、密切來(lái)往的家庭戶(hù)數(shù)的負(fù)向影響,穩(wěn)定期家庭的勞動(dòng)力非農(nóng)轉(zhuǎn)移概率則還受勞動(dòng)力平均受教育年限和生產(chǎn)性固定資產(chǎn)數(shù)量的負(fù)向影響;贍養(yǎng)期家庭的勞動(dòng)力非農(nóng)轉(zhuǎn)移概率則受人口負(fù)擔(dān)系數(shù)和生產(chǎn)性固定資產(chǎn)數(shù)量的負(fù)向影響。因此,實(shí)踐中執(zhí)行相關(guān)就業(yè)政策時(shí),應(yīng)根據(jù)農(nóng)村家庭所處生命周期不同階段的規(guī)律和特點(diǎn),采取促進(jìn)農(nóng)村勞動(dòng)力非農(nóng)轉(zhuǎn)移的精準(zhǔn)激勵(lì)措施。
[Abstract]:In this paper, we construct a standard for the classification of family life cycle stages in rural China. According to the characteristics of the family population, the family is divided into six stages: starting period, upbringing period, burden period, stable period, support period and empty nest period. Based on the framework of sustainable livelihood analysis and using the rural survey data of Hubei Province in 2016, this paper analyzes the influencing factors of non-farm labor transfer in rural households at different life cycle stages. The family life cycle has a significant effect on the rural labor force transfer, compared with the beginning of the family, In other life cycle stages, the probability of non-agricultural labor transfer in families is higher than that in other life cycle stages, and the influencing factors of non-agricultural labor transfer in rural households in different life cycle stages are obviously different. The probability of non-agricultural labor transfer of families in the initial period is negatively affected by the per capita land management area; the family size is large, the population burden coefficient is small, and there are dependent families with labor force trained in professional skills, families with burden periods and stable families. The probability of non-agricultural transfer of labor force is high, and the probability of non-agricultural transfer of labor force in dependent families is also negatively affected by the age of head of household and the quantity of productive fixed assets. However, the probability of non-farm labor transfer of households in the burden period is also positively affected by the age of the head of household, the area of land management per capita, and the number of households that travel closely. The probability of non-agricultural labor transfer in stable families is also affected by the average number of years of education and the quantity of productive fixed assets. The probability of non-farm labor transfer in dependent families is negatively affected by the population burden coefficient and the quantity of productive fixed assets. Therefore, in practice, when implementing relevant employment policies, According to the laws and characteristics of different stages of the life cycle of rural families, the precise incentive measures should be taken to promote the transfer of rural labor force from agriculture to agriculture.
【作者單位】： 中南財(cái)經(jīng)政法大學(xué)工商管理學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目“城鎮(zhèn)化路徑選擇對(duì)農(nóng)村貧困影響效應(yīng)與機(jī)制研究”(編號(hào):71573277)、“生命周期、生計(jì)策略與農(nóng)戶(hù)貧困動(dòng)態(tài)性”(編號(hào):71273281) 國(guó)家社會(huì)科學(xué)基金項(xiàng)目“現(xiàn)代農(nóng)業(yè)政府支持體系評(píng)價(jià)與優(yōu)化研究”(編號(hào):13BJY110)的資助
【分類(lèi)號(hào)】：F323.6

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