生态脆弱地区林业全要素生产率变动及其影响因素——基于甘肃省10年500个农户的跟踪调查

doi:10.11707/j.1001-7488.LYKX20220883

Abstract

Abstract:

Objective: Against the backdrop of ecological civilization construction, changes and influencing factors of total factor productivity of forestry in underdeveloped and ecologically vulnerable areas were studied. The feasible paths to improve the total factor productivity of forestry were explored from the forestry resource investment and allocation, the production and operation scale adjustment and other perspectives. Thus, it provided scientific basis and theoretical support to accelerate in transforming forestry development mode and formulating the policies that contribute to the high-quality forestry development in homogeneous alpine collective forest area where ecological vulnerability and economic poverty overlap. Method: A DEA-Malmquist model was established with fund, land and labor as input factors and economic, ecological and social benefits as output factors on the basis of the tracking investigation data of 500 peasant households in Gansu Province from 2009 to 2018. A panel Tobit model was constructed by selecting 13 variables out of 6 dimensions comprising householder characteristics, family characteristics, woodland characteristics, location characteristics, forestry policies and forestry services. Thus, the total factor productivity of forestry in Gansu Province was measured and calculated and its influencing factors were analyzed. Result: 1) From the perspective of holistic change, the growth in total factor productivity of forestry is insufficient, and the reason is that each component has not developed into synergy. Specifically, the growth in total factor productivity of forestry is driven by technology advancement while technological efficiency, pure technological efficiency and scale efficiency have presented only limited promotion effects. 2) From the perspective of temporal characteristics, the total factor productivity of forestry is in an unstable state (presenting alternating up-and-down fluctuations from 2010 to 2018) and a sustainable development in forestry productivity remains unfulfilled. 3) From the perspective of regional characteristics, the total factor productivity of forestry presents obvious region-based differences due to the differences in both natural and historical conditions, and economic and social advancement. By region, the growth in total factor productivity of forestry is insufficient in eastern Gansu, limited in southern Gansu and fast in middle Gansu. By county territory, there is a great difference among counties in southern Gansu, followed by middle Gansu and the least in eastern Gansu. 4) From the perspective of influencing factors, the total factor productivity of forestry is subject to the following factors, including age, cadre number, migrant worker headcount, proportion of forestry income to total income, extent where forest road meets the need, geographical location, difficulty in lumbering index application, access to forestry subsidy, participation in forest insurance, the difficulty in forest right mortgage loan and participation in forest cooperative society. Conclusion: 1) High value should be put to the basic research on forestry theories, the constant transformation and application of scientific and technological achievements in forestry and the reliance on scientific and technological progress so as to ensure the sustainable development in forestry. 2) The training measures of forestry should be strengthened, and the efficiency of forestry technology should be improved. Attention should be paid to the effect of forestry technology, and the development mode of forestry should be shifted. 3) The financing supply for forestry should be increased, and the standardized forest land circulation should be guided. The socialized service system of forestry should be completed, and the scale efficiency of forestry should be promoted so as to realize its scale economy. 4) Technological progress should be improved continuously, and technical efficiency should be boosted gradually. Sscale potential should be tapped fully so as to prompt all productivity component to form synergy; the production factors of forestry should be allocated rationally and effectively. 5) Forestry development among various areas should allow for the particularity of their own forestry resource endowment and the necessity and difficulty in ecological security. The targeted support policies should be provided to develop forestry based on local conditions; regional exchange and cooperation should be enhanced to facilitate regional common development.

Key words: ecologically fragile areas, forestry, total factor productivity, influencing factors

CLC Number:

F326.24

Shuyuan Huang,Dingchou Ma,Yimin Fu,Jianzhou Yang. Changes and Influencing Factors of Total Factor Productivity of Forestry in Ecologically Vulnerable Areas: on the Basis of the Ten-Year Tracking Investigation of 500 Peasant Households in Gansu Province[J]. Scientia Silvae Sinicae, 2024, 60(6): 153-164.

Figures/Tables 9

Table 1

Table 2

Table 3

Variable description and descriptive statistics"

变量分类 Variable classification	变量定义 Variable definitions	变量赋值 Variable assignment	预期方向 Expected direction	平均值 Average value	标准差 Standard deviation	最大值 Maximum	最小值 Minimum
户主特征 Household head characteristics	X₁ 教育程度 Education level	小学及以下=1，初中=2，高中或中专=3，本科或大专及以上=4 Primary school and below = 1, junior high school = 2 , high school or secondary school = 3, undergraduate or college and above = 4	+	1.726	0.745	4.000	1.000
	lnX₂ 年龄 Years old	岁 Year	？	3.912	0.212	4.443	2.996
	X₃ 是否担任干部 Whether to serve as a cadre	是=1，否=0 Yes=1, No=0	+	0.231	0.422	1.000	0.000
家庭特征 Household characteristics	X₄ 外出务工人数 Number of migrant workers	人 Person	?	0.880	0.908	5.000	0.000
家庭特征 Household characteristics	X₅ 林业收入与总收入占比 Proportion of forestry income to total income	百分率 Percentage	+	0.105	0.180	1.000	0.000
林地特征 Forest land characteristics	X₆ 块数 Number of blocks	块 Block	？	2.919	1.962	20.000	1.000
林地特征 Forest land characteristics	X₇ 林道是否满足需要 Whether forest-road meets the need	是=1，否=0 Yes=1, No=0	+	0.715	0.451	1.000	0.000
区位特征 Location characteristics	X₈ 地理区位 Geographical location	陇东黄土高原及沟壑区（黄河流域）=1；陇南西秦岭山脉地区（长江流域）=2；陇中黄土高原丘陵区（黄河流域）=3 Longdong Loess Plateau and ravines (Yellow River Basin) = 1, Longnan West Qinling Mountain Range area (Yangtze River Basin) = 2, Longzhong Loess Plateau hilly area (Yellow River Basin) = 3		2.100	0.831	3.000	1.000
林业政策 Forestry policy	X₉ 采伐指标申请是否麻烦 Whether it is troublesome to apply for harvesting indicators	未曾申请=1，是=2，否=3 Not applied=1, Yes=2, No=3		1.054	0.304	3.000	1.000
	X₁₀ 林业补贴是否获得 Whether forestry subsidies are received	是=1，否=0 Yes=1, No=0	？	0.977	0.151	1.000	0.000
	X₁₁ 森林保险是否参与 Whether forest insurance is involved	是=1，否=0 Yes=1, No=0	+	0.055	0.228	1.000	0.000
	X₁₂ 林权抵押贷款是否简单 Whether a forest tenure mortgage is simple	特别麻烦=1，稍微麻烦=2，正常=3，稍微简单=4，特别简单=5 Extra troublesome = 1, slightly troublesome = 2, normal = 3, slightly simpler = 4, extra simple = 5	？	2.311	0.606	5.000	1.000
林业服务 Forestry service	X₁₃ 林业合作社是否参与 Whether forestry cooperatives are involved	是=1，否=0 Yes=1, No=0	+	0.051	0.219	1.000	0.000

Table 3

Table 4

Fig.1

Table 5

Table 6

Table 7

Table 8

References 0

	曹玉昆, 翟相如. 国家财政支持对林业产业全要生产率影响的实证. 统计与决策, 2020, 36 (7): 118- 122.
	Cao Y K, Zhai X R. An empirical study on the influence of national financial support on the total productivity of forestry industry. Statistics & Decision, 2020, 36 (7): 118- 122.
	陈　珂, 魏　彪, 王海丽, 等. 辽宁集体林产权主体改革后林农投资行为的调查研究. 林业经济问题, 2008, 28 (3): 246- 249. doi: 10.3969/j.issn.1005-9709.2008.03.014
	Chen K, Wei B, Wang H L, et al. A study on issue of finance in public forest property reforming in Liaoning. Issues of Forestry Economics, 2008, 28 (3): 246- 249. doi: 10.3969/j.issn.1005-9709.2008.03.014
	程名望, 贾晓佳, 仇焕广. 2019. 中国经济增长 (1978—2015): 灵感还是汗水? 经济研究, 54(7): 30−46.
	Cheng M W, Jia X J, Qiu H G. 2019. China’s economic growth (1978—2015): inspiration or perspiration? Economic Research Journal, 54(7): 30−46. ［in Chinese］
	丁秀玲, 薛彩霞, 高建中. 林业科技服务对农户经济林经营选择行为的影响研究. 林业经济问题, 2020, 40 (4): 389- 398.
	Ding X L, Xue C X, Gao J Z. Study on the impact of forestry science and technology services on farmers’ economic forest operation choice behavior. Issues of Forestry Economics, 2020, 40 (4): 389- 398.
	杜　江, 王　锐, 王新华. 环境全要素生产率与农业增长: 基于DEA-GML指数与面板Tobit模型的两阶段分析. 中国农村经济, 2016, (3): 65- 81.
	Du J, Wang R, Wang X H. Environmental total factor productivity and agricultural growth: a two-stage analysis based on DEA-GML index and panel Tobit model. Chinese Rural Economy, 2016, (3): 65- 81.
	盖庆恩, 朱　喜, 史清华. 劳动力转移对中国农业生产的影响. 经济学(季刊), 2014, 13 (3): 1147- 1170.
	Gai Q E, Zhu X, Shi Q H. Labor’s migration and Chinese agricultural production. China Economic Quarterly, 2014, 13 (3): 1147- 1170.
	高雪萍, 王　璐, 袁若兰, 等. 2021. 林业社会化服务提高了农户林业生产效率吗? 农林经济管理学报, 20(2): 209−218.
	Gao X P, Wang L, Yuan R L, et al. 2021. Does socialization of forestry service improve farmers’ forestry production efficiency? Journal of Agro-Forestry Economics and Management, 20(2): 209−218. ［in Chinese］
	贺茉莉, 黄丽旋. 基于DEA模型的林业经济投入产出滞后期确定与效率测度. 林产工业, 2020, 57 (12): 108- 112.
	He M L, Huang L X. Determination of input-output lag period and efficiency measurement of forestry economy based on DEA model. China Forest Products Industry, 2020, 57 (12): 108- 112.
	黄祖辉, 王建英, 陈志钢. 非农就业、土地流转与土地细碎化对稻农技术效率的影响. 中国农村经济, 2014, (11): 4- 16.
	Huang Z H, Wang J Y, Chen Z G. Effects of non-agricultural employment, land circulation and land fragmentation on technical efficiency of rice farmers. Chinese Rural Economy, 2014, (11): 4- 16.
	孔凡斌, 廖文梅. 地形和区位因素对农户林地投入与产出水平的影响——基于8省(区)1 790户农户数据的实证分析. 林业科学, 2014, 50 (11): 129- 137.
	Kong F B, Liao W M. Analysis of the effects of the terrain and geographic factors on farmers’ input and output of forestland from 1 790 households in 8 provinces of China. Scientia Silvae Sinicae, 2014, 50 (11): 129- 137.
	孔凡斌, 阮　华, 廖文梅, 等. 农村劳动力转移对农户林业社会化服务需求的影响: 基于1 407户农户生产环节的调查. 林业科学, 2018, 54 (6): 132- 142. doi: 10.11707/j.1001-7488.20180616
	Kong F B, Ruan H, Liao W M, et al. Impact of rural labor transfer on the farmers’ socialized service demand in the forestry: survey data of 1 407 households on production process. Scientia Silvae Sinicae, 2018, 54 (6): 132- 142. doi: 10.11707/j.1001-7488.20180616
	李　桦, 姚顺波, 刘　璨, 等. 集体林分权条件下不同经营类型商品林生产要素投入及其效率——基于三阶段DEA模型及其福建、江西农户调研数据. 林业科学, 2014, 50 (12): 122- 130.
	Li H, Yao S B, Liu C, et al. Inputs of production factors for different operational types of commercial forests and the technical efficiency in the reform of collective forestry property right system: based on three stage DEA model and household data of Fujian and Jiangxi Province. Scientia Silvae Sinicae, 2014, 50 (12): 122- 130.
	廖文梅, 童　婷, 秦克清, 等. 中国林地投入产出效率理论、测度与影响因素: 综述与展望. 农林经济管理学报, 2018, 17 (5): 545- 552.
	Liao W M, Tong T, Qin K Q, et al. Efficiency theory, measurement and factors influencing input-output of forest land in China: summary and prospect. Journal of Agro-Forestry Economics and Management, 2018, 17 (5): 545- 552.
	刘　璨. 金寨县样本农户效率与消除贫困分析——数据包络分析(DEA)方法. 数量经济技术经济研究, 2003, 20 (12): 102- 106. doi: 10.3969/j.issn.1000-3894.2003.12.026
	Liu C. Analysis of sampling households' efficiency and poverty alleviation in Jinzhai County: data envelopment analysis (DEA) method. Journal of Quantitative & Technological Economics, 2003, 20 (12): 102- 106. doi: 10.3969/j.issn.1000-3894.2003.12.026
	刘清泉, 江　华. 中国林业全要素生产率测算. 统计与决策, 2017, 33 (4): 146- 149.
	Liu Q Q, Jiang H. Calculation of forestry total factor productivity in China. Statistics & Decision, 2017, 33 (4): 146- 149.
	史常亮, 揭昌亮, 石　峰, 等. 中国林业技术效率与全要素生产率增长分解——基于SFA-Malmquist方法的估计. 林业科学, 2017, 53 (12): 126- 135. doi: 10.11707/j.1001-7488.20171214
	Shi C L, Jie C L, Shi F, et al. Estimation of the technical efficiency and the decomposition of TFP of Chinese forestry: basing on SFA-Malmquist method. Scientia Silvae Sinicae, 2017, 53 (12): 126- 135. doi: 10.11707/j.1001-7488.20171214
	苏时鹏, 吴俊媛, 甘建邦. 林改后闽浙赣家庭林业全要素生产率变动比较. 资源科学, 2015, 37 (1): 112- 124.
	Su S P, Wu J Y, Gan J B. Comparative analysis of total factor productivity change among family forestry operators since forest tenure reform in Fujian, Zhejiang and Jiangxi Provinces. Resources Science, 2015, 37 (1): 112- 124.
	田　杰, 石春娜. 不同林地经营规模农户的林业生产要素配置效率及其影响因素研究. 林业经济问题, 2017, 37 (5): 73- 78,109.
	Tian J, Shi C N. Allocation efficiency of forestry producing factors in different forest land scale farmer and its influencing factors. Issues of Forestry Economics, 2017, 37 (5): 73- 78,109.
	魏肖杰, 张敏新. 林业产业集聚对中国林业全要素生产率作用机制——基于动态空间计量模型的实证分析. 世界林业研究, 2019, 32 (3): 67- 72.
	Wei X J, Zhang M X. An empirical analysis on the mechanism of forestry industrial agglomeration affecting forestry total factor productivity in China based on the dynamic spatial econometric model. World Forestry Research, 2019, 32 (3): 67- 72.
	向红玲, 陈昭玖, 廖文梅, 等. 南方集体林区林业发展驱动机制及技术效率影响因素分析. 林业经济, 2021, 43 (8): 5- 21.
	Xiang H L, Chen Z J, Liao W M, et al. Analysis on driving mechanism of forestry development and influencing factors of technical efficiency in collective forest regions in south China. Forestry Economics, 2021, 43 (8): 5- 21.
	薛彩霞, 姚顺波. 西部地区不同类型农户林地经营行为和技术效率研究——来自四川省雅安市的农户调查. 林业经济问题, 2014, 34 (4): 298- 303. doi: 10.3969/j.issn.1005-9709.2014.04.002
	Xue C X, Yao S B. Study on households’ forestland management behavior and technical efficiency in western China based on households classification: from micro-data of households in Ya’an city of Sichuan Province. Issues of Forestry Economics, 2014, 34 (4): 298- 303. doi: 10.3969/j.issn.1005-9709.2014.04.002
	徐秀英, 付双双, 李晓格, 等. 林地细碎化、规模经济与竹林生产——以浙江龙游县为例. 资源科学, 2014, 36 (11): 2379- 2385.
	Xu X Y, Fu S S, Li X G, et al. Forestland fragmentation, economies of scale and bamboo production: a case study of Longyou county, Zhejiang Province. Resources Science, 2014, 36 (11): 2379- 2385.
	叶文丽, 王　银, 闵　典, 等. 生态脆弱区农户生计恢复力与多维贫困脱钩关系时空演变规律——以陕西省佳县为例. 干旱区资源与环境, 2021, 35 (10): 7- 15.
	Ye W L, Wang Y, Min D, et al. Spatio-temporal evolution of the decoupling relationship between farmers’ livelihood resilience and multidimensional poverty in ecologically fragile areas: Jiaxian county, Shaanxi Province. Journal of Arid Land Resources and Environment, 2021, 35 (10): 7- 15.
	郑　彬, 高　岚. 森林保险保费补贴效率测评——基于SE-DEA模型与Malmquist指数. 资源开发与市场, 2019, 35 (1): 7- 12. doi: 10.3969/j.issn.1005-8141.2019.01.002
	Zheng B, Gao L. Evaluation of efficiency of forest insurance premium subsidies: based on SE-DEA model and Malmquist index. Resource Development & Market, 2019, 35 (1): 7- 12. doi: 10.3969/j.issn.1005-8141.2019.01.002
	郑风田, 阮荣平. 新一轮集体林权改革评价: 林地分配平等性视角——基于福建调查的实证研究. 经济理论与经济管理, 2009, (10): 52- 59. doi: 10.3969/j.issn.1000-596X.2009.10.009
	Zheng F T, Ruan R P. Evaluation on the equality of new wave collective forest reform: a study of Fujian collective forest reform. Economic Theory and Business Management, 2009, (10): 52- 59. doi: 10.3969/j.issn.1000-596X.2009.10.009
	周　晶, 陈玉萍, 阮冬燕. 地形条件对农业机械化发展区域不平衡的影响——基于湖北省县级面板数据的实证分析. 中国农村经济, 2013, (9): 63- 77.
	Zhou J, Chen Y P, Ruan D Y. Influence of terrain conditions on regional imbalance of agricultural mechanization development: an empirical analysis based on county panel data in Hubei Province. Chinese Rural Economy, 2013, (9): 63- 77.
	朱　烨, 刘　强, 吴伟光. 林业劳动力女性化状况及其对林业生产效率的影响——以竹林生产为例. 农业技术经济, 2018, (5): 104- 111.
	Zhu Y, Liu Q, Wu W G. The feminization of forestry labor force and its impact on forestry production efficiency: a case study of bamboo forest production. Journal of Agrotechnical Economics, 2018, (5): 104- 111.
	Das G G, Alavalapati J R R, Carter D R, et al. Regional impacts of environmental regulations and technical change in the US forestry sector: a multiregional CGE analysis. Forest Policy and Economics, 2005, 7 (1): 25- 38. doi: 10.1016/S1389-9341(03)00004-2
	Krugman P. The myth of Asia’s miracle. Foreign Affairs, 1994, 73 (6): 62- 78. doi: 10.2307/20046929
	LeBel L G, Stuart W B. Technical efficiency evaluation of logging contractors using a nonparametric model. Journal of Forest Engineering, 1998, 9 (2): 15- 24. doi: 10.1080/08435243.1998.10702714
	Price C. Twenty-five years of forestry cost-benefit analysis in Britain. Forestry: an International Journal of Forest Research, 1997, 70 (3): 171- 189.
	Tobin J. Estimation of relationships for limited dependent variables. Econometrica, 1958, 26 (1): 24- 36. doi: 10.2307/1907382
	Viitala E J, Hänninen H. Measuring the efficiency of public forestry organizations. Forest Science, 1998, 44 (2): 298- 307. doi: 10.1093/forestscience/44.2.298

地理区域 Geographic region	地级行政区 Prefecture-level administrative districts	县级行政区 County-level administrative districts	自然区域特点 Natural area features	样本量 Sample size
陇东地区 Longdong area	平凉市Pingliang city	灵台县Lingtai county	黄土高原及沟壑区（黄河流域） Loess Plateau and ravines (Yellow River Basin)	150
	平凉市Pingliang city	泾川县Jingchuan county
	庆阳市Qingyang city	合水县Heshui county
陇南地区 Longnan area	陇南市Longnan city	康县Kang county	西秦岭山脉地区（长江流域） West Qinling Mountain range area(Yangtze River Basin)	150
		徽县Hui county
		宕昌县Dangchang county
陇中地区 Longzhong area	临夏市Linxia city	永靖县Yongjing county	黄土高原丘陵区（黄河流域） Loess Plateau hilly area (Yellow River Basin)	200
	白银市Baiyin city	会宁县Huining county
	定西市Dingxi city	通渭县Tongwei county
	天水市Tianshui city	清水县Qingshui county

指标 Index	指标释义 Indicator interpretation	平均值 Average value	标准差 Standard deviation	最大值 Maximum	最小值 Minimum
资金投入 Capital investment	林业支出：种苗、化肥农药、机械或畜力、税收及其他费用 Forestry expenditure: seedlings, fertilizers and pesticides, machinery or animal power, taxes and other expenses/yuan	3 304.389	4 564.743	18 390.000	190.700
土地投入 Land input	林地面积 Forest area/hm²	2.412	1.512	6.252	0.894
劳动投入 Labor input	自投与雇工数 Number of self-employed and employed workers/(person·day^?1)	2.817	8.140	69.000	1.000
经济产出 Economic output	林业收入：林业经营性、工资性、财产性、转移性和其他收入 Forestry income (yuan): forestry operation, wages, property, transfer and other income/yuan	5 440.152	6 941.367	32 394.540	605.580
生态产出 Ecological output	造林面积 Afforestation area/hm²	0.081	0.014	0.158	0.068
社会产出 Social output	林业科技服务 Forestry science and technology services/times	0.729	0.466	3.000	0

年份 Year	全要素生产率 Total factor productivity	技术进步 Technological progress	技术效率 Technical efficiency	纯技术效率 Pure technical efficiency	规模效率 Scale efficiency
2010—2011	1.131	1.108	1.023	1.005	1.017
2011—2012	1.336	1.477	0.904	0.932	0.969
2012—2013	0.663	0.596	1.128	1.088	1.034
2013—2014	1.216	1.242	0.983	0.994	0.987
2014—2015	1.027	1.086	0.946	0.998	0.942
2015—2016	1.686	1.392	1.162	1.015	1.142
2016—2017	1.054	1.086	0.945	0.991	0.952
2017—2018	1.124	1.102	1.007	1.014	0.993
平均Mean	1.154	1.136	1.012	1.005	1.005

自然地理区域 Physical geographic area	县级行政区 County-level administrative districts	全要素生产率 Total factor productivity	技术进步 Technological progress	技术效率 Technical efficiency	纯技术效率 Pure technical efficiency	规模效率 Scale efficiency
陇东地区 Longdong area	灵台县Lingtai County	1.040	1.040	1.000	1.000	1.000
	泾川县Jingchuan county	1.187	1.187	1.000	1.000	1.000
	合水县Heshui county	1.140	1.110	1.004	1.008	0.991
	平均Mean	1.122	1.112	1.001	1.003	0.997
陇南地区 Longnan area	康县Kang county	1.300	1.149	1.091	1.020	1.056
	徽县Hui county	1.075	1.092	1.027	1.020	1.005
	宕昌县Dangchang county	1.049	1.068	0.996	0.994	1.000
	平均Mean	1.141	1.103	1.038	1.012	1.020
陇中地区 Longzhong area	永靖县Yongjing county	1.150	1.150	1.006	1.001	1.004
	会宁县Huining county	1.313	1.277	0.998	1.003	0.989
	通渭县Tongwei county	1.179	1.179	1.000	1.000	1.000
	清水县Qingshui county	1.112	1.111	1.000	1.000	1.000
	平均Mean	1.189	1.179	1.001	1.001	0.998

解释变量Explanatory variables	全要素生产率1 Total factor productivity 1
解释变量Explanatory variables	（1）	（2）	（3）
X₁ 教育程度Education level	?0.001 (0.012)	0.001 (0.011)	?0.008 (0.010)
lnX₂ 年龄Years old	0.056 (0.041)	0.075^* (0.041)	0.062^* (0.036)
X₃ 是否担任干部 Whether to serve as a cadre	0.026 (0.021)	0.015 (0.021)	0.042^** (0.018)
X₄ 外出务工人数 Number of migrant workers	?0.639^*** (0.045)	?0.589^*** (0.044)	?0.372^*** (0.039)
X₅ 林业收入与总收入占比Proportion of forestry income to total income	0.258^*** (0.048)	0.318^*** (0.048)	0.197^*** (0.042)
X₆ 块数Number of blocks	0.001 (0.004)	0.001 (0.004)	0.001 (0.004)
X₇ 林道是否满足需要 Whether forest-road meets the need		0.244^*** (0.018)	0.140^*** (0.016)
X₈ 地理区位Geographical location		0.038^*** (0.010)	0.056^*** (0.009)
X₉ 采伐指标申请是否麻烦Whether it is troublesome to apply for harvesting indicators		?0.096^*** (0.025)	?0.101^*** (0.022)
X₁₀ 林业补贴是否获得 Whether forestry subsidies are received			0.118^*** (0.046)
X₁₁ 森林保险是否参与 Whether forest insurance is involved			0.181^*** (0.029)
X₁₂ 林权抵押贷款是否简单Whether a forest tenure mortgage is simple			0.047^*** (0.011)
X₁₃ 林业合作社是否参与Whether forestry cooperatives are involved			0.893^*** (0.027)
常数项Constant	1.522^*** (0.176)	1.337^*** (0.181)	0.863^*** (0.168)

Changes and Influencing Factors of Total Factor Productivity of Forestry in Ecologically Vulnerable Areas: on the Basis of the Ten-Year Tracking Investigation of 500 Peasant Households in Gansu Province

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 0

Related Articles 15

Recommended Articles

Metrics

Comments

解释变量 Explanatory variables	全要素生产率1 Total factor productivity 1
解释变量 Explanatory variables	陇东地区Longdong area	陇南地区 Longnan area	陇中地区 Longzhong area
X₁ 教育程度Education level	?0.013 (0.014)	?0.012 (0.019)	0.003 (0.014)
lnX₂ 年龄Years old	?0.001 (0.055)	?0.029 (0.060)	?0.026 (0.053)
X₃ 是否担任干部 Whether to serve as a cadre	0.018 (0.023)	0.021 (0.033)	?0.006 (0.027)
X₄ 外出务工人数 Number of migrant workers	0.169^** (0.070)	?1.024^*** (0.093)	?0.075^* (0.045)
X₅ 林业收入与总收入占比Proportion of forestry income to total income	0.325^*** (0.042)	?0.005 (0.077)	0.109 (0.108)
X₆ 块数Number of blocks	0.006 (0.009)	?0.002 (0.006)	0.000 (0.005)
X₇ 林道是否满足需要Whether forest-road meets the need	0.012 (0.022)	0.119^*** (0.027)	0.134^*** (0.023)
X₉ 采伐指标申请是否麻烦Whether it is troublesome to apply for harvesting indicators	?0.035 (0.026)	?0.108^*** (0.033)	?0.147^*** (0.047)
X₁₀ 林业补贴是否获得Whether forestry subsidies are received	0.108^* (0.058)	0.304^* (0.167)	0.067 (0.055)
X₁₁ 森林保险是否参与Whether forest insurance is involved	?0.365^*** (0.038)	0.348^*** (0.040)	?0.557^*** (0.089)
X₁₂ 林权抵押贷款是否简单Whether a forest tenure mortgage is simple	?0.035^** (0.016)	0.033 (0.020)	0.067^*** (0.016)
X₁₃ 林业合作社是否参与Whether forestry cooperatives are involved	0.152^*** (0.032)	1.470^*** (0.058)	1.105^*** (0.042)
常数项Constant	0.923^*** (0.245)	1.812^*** (0.318)	1.158^*** (0.239)

解释变量 Explanatory variables	全要素生产率2 Total factor productivity 2	全要素生产率1 Total factor productivity 1	全要素生产率1 Total factor productivity 1
解释变量 Explanatory variables	考虑2期时滞产出效果 Considering the output effect of two periods of time delay	固定效应模型 Fixed effects model	缩尾处理 Winsorize
X₁ 教育程度Education level	?0.003 (0.006)	?0.009 (0.010)	?0.009 (0.010)
lnX₂ 年龄Years old	0.042^* (0.023)	0.023 (0.033)	0.062^* (0.036)
X₃ 是否担任干部Whether to serve as a cadre	0.017 (0.012)	0.009 (0.018)	0.041^** (0.018)
X₄ 外出务工人数Number of migrant workers	?0.145^*** (0.025)	?0.318^*** (0.108)	?0.627^*** (0.048)
X₅ 林业收入与总收入占比 Proportion of forestry income to total income	0.145^*** (0.027)	0.217^*** (0.054)	0.196^*** (0.042)
X₆ 块数Number of blocks	?0.006^*** (0.002)	?0.002 (0.004)	0.001 (0.004)
X₇ 林道是否满足需要Whether forest-road meets the need	0.058^*** (0.010)	0.159^*** (0.016)	0.133^*** (0.015)
X₈ 地理区位Geographical location	0.012^** (0.006)	— —	0.052^*** (0.009)
X₉ 采伐指标申请是否麻烦Whether it is troublesome to apply for harvesting indicators	?0.048^*** (0.013)	?0.061^*** (0.021)	?0.099^*** (0.022)
X₁₀ 林业补贴是否获得Whether forestry subsidies are received	0.051^* (0.027)	0.167^*** (0.047)	0.116^** (0.045)
X₁₁ 森林保险是否参与Whether forest insurance is involved	?0.161^*** (0.017)	0.219^*** (0.037)	0.168^*** (0.029)
X₁₂ 林权抵押贷款是否简单 Whether a forest tenure mortgage is simple	0.019^*** (0.007)	0.043^*** (0.013)	0.047^*** (0.012)
X₁₃ 林业合作社是否参与Whether forestry cooperatives are involved	0.493^*** (0.017)	0.971^*** (0.064)	0.850^*** (0.027)
常数项Constant	0.284^*** (0.106)	1.021^*** (0.193)	1.135^*** (0.171)

[1]	Ao Zhang,Wenting Li,Tianxiang Wang,Yaoxing Wu,Gang Lei,Lianghua Qi. Regional Differentiation and It’s Influencing Factors of Soil Easily-oxidized Organic Carbon in Subtropical Phyllostachys edulis Forests [J]. Scientia Silvae Sinicae, 2024, 60(6): 1-12.
[2]	Jun Zhai,Hongqiang Yang,Caiyao Xu,Fanbin Kong. Measurement and Influencing Factors of the Level of Integrated Development of Digital Economy and Forestry Industry in Zhejiang Province [J]. Scientia Silvae Sinicae, 2024, 60(5): 22-34.
[3]	Yali Mu,Hao Wang,Hongqiang Yang,Fanbin Kong. Can the Rural Digital Development Improve Forestry Economic Resilience: An Empirical Evidence Based on Panel Data of 30 Provinces [J]. Scientia Silvae Sinicae, 2024, 60(5): 51-66.
[4]	Caiyao Xu,Yan Ren,Jun Zhai,Fanbin Kong. Impact of Digital Rural Construction on Development and Upgrading of Forestry Industry of 26 Counties in Mountainous Regions of Zhejiang Province [J]. Scientia Silvae Sinicae, 2024, 60(5): 67-88.
[5]	Zhichao Wang,Tiantian Ma,Yakui Shao,Linhao Sun,Yonghua Li,Xiaoyuan Zhang,Lirong Zhang,Gui Zhang,Wenyi Fan,Zhongke Feng. Future oriented Smart Forestry in China: Evolution and Development Trends of Observation Instrument Systems [J]. Scientia Silvae Sinicae, 2024, 60(4): 1-15.
[6]	Zhuo Chen,Haiyang Liu,Quanyi Huang,Mingzhang Zheng,Jian Li. Simulation of Forest Fire Spread and Optimization of Forest Fire Emergency Prevention Planning [J]. Scientia Silvae Sinicae, 2024, 60(4): 52-61.
[7]	Fanbin Kong,Wenjie Cheng,Caiyao Xu,Yu Lu,Yueqin Shen. Economic Conversion Efficiency of Forest Ecological Capital in National Pilot Area of China and Its Influencing Factors [J]. Scientia Silvae Sinicae, 2023, 59(1): 1-11.
[8]	Wenmei Liao,Jing Lin,Yueqin Shen,Fanbin Kong. Influence of Socialized Forestry Services on the Income Gap of Rural Households [J]. Scientia Silvae Sinicae, 2023, 59(1): 59-73.
[9]	Yandi Liu,Bin Zhang,Jiehua Lü. Non-Linear Impact of Factor Input and Production Efficiency on Forestry Economic Growth——Based on the Perspective of Labor Remuneration Changing [J]. Scientia Silvae Sinicae, 2022, 58(6): 141-150.
[10]	Feng Lu,Guangtong Gu,Xianlei Cao,Weiguang Wu. Risk of Forestry Carbon Sink Project Based on Coupling Effect [J]. Scientia Silvae Sinicae, 2022, 58(5): 161-176.
[11]	Yaping Wen,Liangming Feng,Weiping Liu. The Influence of Non-Farm Employment on the Division of the Forestry Production of Farmers——Based on the Survey Data on Farmers in Fujian Province [J]. Scientia Silvae Sinicae, 2021, 57(3): 135-144.
[12]	Yinghao Yang,Jinhao Liu,Yili Zheng,Qingqing Huang. Obstacle Avoidance Path Planning of Manipulator of Forestry Felling & Cultivation Machine [J]. Scientia Silvae Sinicae, 2021, 57(2): 179-192.
[13]	Yanmei Wang,Xiaoxue Zhang,Xiuzheng Zhu,Zhihua Zhang,Zhi Li,Xiaodong Geng,Qifei Cai,Zhen Liu. Research Progress on Dormancy and Germination Mechanism of Forest Seeds [J]. Scientia Silvae Sinicae, 2021, 57(10): 128-144.
[14]	Chen Chen,Fangyuan Yu. Research Progress on Flower Bud Differentiation of Trees [J]. Scientia Silvae Sinicae, 2020, 56(9): 119-129.
[15]	Bing Liao,Zhiguang Zhang. Forestry's Contribution to Ecological Civilization and Its "Structure Smiling Curve" [J]. Scientia Silvae Sinicae, 2020, 56(7): 163-174.