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学者姓名：王林萍
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The fragmented nature of Chinese households' forestland hinders the realization of economies of scale in forestry production. Understanding the role of forestry service outsourcing organizations in mitigating this fragmentation provides a critical foundation for the exploration of pathways to scaled forestry management. Based on tracking data from 500 households across 10 counties in Fujian Province between 2013 and 2018, this study examines an unbalanced panel containing six periods and 2780 valid observations. It constructs a panel Logit model to examine the influence of forestry service outsourcing organizations on the likelihood of forestland transfer by households, and it employs a panel Tobit model to analyze the relationship between these organizations and the scale of forestland transferred. To capture potential heterogeneity, the analysis incorporates households' part-time status and the forestland terrain conditions. The results indicate that the duration of establishment of county-level forestry project teams and forestry companies in households' regions significantly reduces the tendency of households to lease out their forestland, especially for those in plain and hilly regions and part-time forestry producers. Furthermore, the longer the establishment history of township-level forestry project teams, the more inclined households are to retain their family forestland management rights. Our study demonstrates that, when specialized forestry service outsourcing organizations emerge in the market, households are less likely to lease out their forestland, thereby retaining management rights, avoiding the risk of forestland loss, and reducing forestland abandonment. As forestry service outsourcing organizations continue to develop and expand-with improvements in service levels and production efficiency-forestry production is gradually transitioning toward a new stage of service-oriented scale operations.
Keyword ：
forestland leasing out forestland leasing out forestry production forestry production outsourcing services outsourcing services scale management scale management
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| GB/T 7714 | Wen, Yingxue , Liu, Ying , Wang, Linping . How Does the Development of Forestry Service Outsourcing Organizations Affect Households' Forestland Leasing? [J]. | FORESTS , 2025 , 16 (5) . |
| MLA | Wen, Yingxue 等. "How Does the Development of Forestry Service Outsourcing Organizations Affect Households' Forestland Leasing?" . | FORESTS 16 . 5 (2025) . |
| APA | Wen, Yingxue , Liu, Ying , Wang, Linping . How Does the Development of Forestry Service Outsourcing Organizations Affect Households' Forestland Leasing? . | FORESTS , 2025 , 16 (5) . |
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Introduction Under the background of increasingly severe aging of agricultural labor force and relatively slow land circulation, agricultural production outsourcing has become the main means of agricultural modernization. Despite the existence of a voluminous literature on outsourcing service of pest control, little is known about its effect on biopesticides use.Methods To fill this knowledge gap, this study uses rice planting data from 1,045 Chinese farm households to analyze the impact of different aging agricultural households and the pest control outsourcing service on the application of biopesticides by using the logit regression model.Results and Discussion The study results showed that: (1) Participation in pest control outsourcing services significantly promotes biopesticide application. But this positive effect varied across age groups. (2) Compared with aging households, non-aging farmers tend to use biopesticides. Given this, it is recommended that pay attention to the ecological effect of pest control outsourcing services, strengthen the assistance to the aging labor group in the green pesticide promotion policy, and guide the aged planting decision makers to participate in pest control outsourcing services, thereby effectively improving the sustainable development of green agriculture.
Keyword ：
aging labor force aging labor force biopesticide biopesticide eco-agriculture eco-agriculture green agriculture green agriculture socialized pest control services socialized pest control services
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| GB/T 7714 | Shen, Doudou , Wang, Linping , Cai, Liangmei . Aging agricultural labor force, outsourcing service of pest control and biopesticide application: a case study of 10 counties in Fujian Province [J]. | FRONTIERS IN SUSTAINABLE FOOD SYSTEMS , 2024 , 8 . |
| MLA | Shen, Doudou 等. "Aging agricultural labor force, outsourcing service of pest control and biopesticide application: a case study of 10 counties in Fujian Province" . | FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 8 (2024) . |
| APA | Shen, Doudou , Wang, Linping , Cai, Liangmei . Aging agricultural labor force, outsourcing service of pest control and biopesticide application: a case study of 10 counties in Fujian Province . | FRONTIERS IN SUSTAINABLE FOOD SYSTEMS , 2024 , 8 . |
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Can the backward endowments of rural areas support digital village construction to attain the expected results? If the answer is yes, what are the mechanisms involved? Answering these questions is related to common prosperity. Counties are China's frontline commanders, and the urban-rural income gap is a suitable entry point for observing the urban-rural digital divide; however, there is limited research assessing the effectiveness of digital village construction from the perspective of the urban-rural income gap at the county level. In addition, counties lifted out of poverty, as counties with worse initial endowments and as counties that should be most concerned with common wealth, are more typical for examining the effectiveness of digital rural construction; however, there are few studies on counties lifted out of poverty. Based on cross-sectional data from 865 counties in China in 2020, this study empirically analyzes the impact of digital village construction on the urban-rural income gap using an OLS model. This study also conducts mechanism tests and poverty benefit tests in addition to heterogeneity and robustness tests. The findings indicate that the development of digital villages lowers the income difference between urban and rural areas, and that the shift in the industrial structure is a key driver of this effect. Different construction dimensions have varying degrees of impact, with digital infrastructure and the digitalization of the economy having the most significant impact, the digitalization of countryside governance coming second, and the digitalization of countryside life having the most negligible impact. The impact is more pronounced in the central-eastern region of China and counties that have just been lifted out of poverty than in the western region and counties that have never been in poverty. The government will benefit greatly from this study's understanding of the main themes, areas, and scope of digital rural construction, which will help to expand and further integrate the outcomes of reducing poverty and fostering shared prosperity.
Keyword ：
digital village construction digital village construction industrial structure industrial structure poverty alleviation poverty alleviation sustainability sustainability urban-rural income gap urban-rural income gap
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| GB/T 7714 | Liu, Ying , Zhang, Haoyi , Ning, Manxiu et al. Has Digital Village Construction Narrowed the Urban-Rural Income Gap: Evidence from Chinese Counties [J]. | SUSTAINABILITY , 2024 , 16 (13) . |
| MLA | Liu, Ying et al. "Has Digital Village Construction Narrowed the Urban-Rural Income Gap: Evidence from Chinese Counties" . | SUSTAINABILITY 16 . 13 (2024) . |
| APA | Liu, Ying , Zhang, Haoyi , Ning, Manxiu , Wang, Linping . Has Digital Village Construction Narrowed the Urban-Rural Income Gap: Evidence from Chinese Counties . | SUSTAINABILITY , 2024 , 16 (13) . |
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China's carbon emissions trading policy represents a significant institutional innovation designed to advance the country's economic and social development towards sustainability and low-carbon growth. This study investigates the effects of China's carbon emissions trading policy by employing the difference-in-differences model and spatial Durbin model, using provincial panel data spanning from 2005 to 2020. We find that the carbon emissions trading policy can inhibit per capita carbon emissions in the pilot areas. This work is primarily driven by green technological innovation and the upgrade of industrial structure. Furthermore, the carbon emissions trading policy exhibits a positive spatial spillover effect, inhibits per capita carbon emissions in the areas adjacent to the pilot through demonstration effect and competition effect, and does not cause carbon leakage. These findings reveal the policy's effectiveness in emissions reduction, and may be useful reference for promoting sustainable economic and social development. This is of great practical significance for exploring how to optimize environmental governance measures, avoid carbon leakage, and achieve balance and fairness in responsibilities in achieving low-carbon sustainable development. Our study proposes policy recommendations for synergizing the national trading market in China.
Keyword ：
carbon emissions reduction carbon emissions reduction carbon emissions trading policy carbon emissions trading policy carbon leakage carbon leakage difference-in-differences difference-in-differences spatial Durbin mode spatial Durbin mode spatial spillover effect spatial spillover effect sustainability sustainability
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| GB/T 7714 | Qiu, Hannuo , Yang, Bian , Liu, Ying et al. Emissions Reduction Effects and Carbon Leakage Risks of Carbon Emissions Trading Policy: An Empirical Study Based on the Spatial Durbin Model [J]. | SUSTAINABILITY , 2024 , 16 (21) . |
| MLA | Qiu, Hannuo et al. "Emissions Reduction Effects and Carbon Leakage Risks of Carbon Emissions Trading Policy: An Empirical Study Based on the Spatial Durbin Model" . | SUSTAINABILITY 16 . 21 (2024) . |
| APA | Qiu, Hannuo , Yang, Bian , Liu, Ying , Wang, Linping . Emissions Reduction Effects and Carbon Leakage Risks of Carbon Emissions Trading Policy: An Empirical Study Based on the Spatial Durbin Model . | SUSTAINABILITY , 2024 , 16 (21) . |
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Strengthening the resilience of rural household development play the main role of rural sustainable development.Using the data of China Household Finance Survey (CHFS) in 2015, 2017 and 2019, this paper calculates the index of 'rural household development resilience' based on nonlinear path dynamics and poverty trap theory, and empirically studies the mechanism of the impact of digital financial inclusion on rural household development resilience.The main conclusions are as follows: (1) Digital financial inclusion significantly enhances the development resilience of rural households.(2) Digital inclusive finance enhances the development resilience of rural households through participation in investment and financing and household asset allocation, but the intermediary effect of participation in commercial insurance is not significant.(3) Digital financial inclusion has no significant impact on the development resilience of poor households in the central and western regions.Finally, the paper puts forward policy suggestions from three aspects: further tapping the potential of digital inclusive finance business, improving infrastructure, and strengthening financial knowledge and vocational skills training. © 2024, The Authors. All rights reserved.
Keyword ：
Investments Investments Risk management Risk management
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| GB/T 7714 | Wu, Bingbin , Wang, Linping , Pan, Si . Digital Inclusive Finance, Farmer's Financial Behavior And Rural Household Development Resilience [J]. | SSRN , 2024 . |
| MLA | Wu, Bingbin et al. "Digital Inclusive Finance, Farmer's Financial Behavior And Rural Household Development Resilience" . | SSRN (2024) . |
| APA | Wu, Bingbin , Wang, Linping , Pan, Si . Digital Inclusive Finance, Farmer's Financial Behavior And Rural Household Development Resilience . | SSRN , 2024 . |
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With ongoing improvements in infrastructure, extensive data consistently demonstrate that the development of rural power infrastructure plays a significant role in driving agricultural growth. However, the existing research has only scratched the surface in comprehensively assessing the multifaceted impact of different aspects of power infrastructure, primarily owing to the narrow scope of performance indicators. To address this gap, this study employs principal component analysis (PCA) to develop panel threshold models and data-driven predictive models based on an indicator framework. Using Fujian Province as a case study, this research systematically analyzes the impact of rural power infrastructure development on agriculture across four stages, i.e., generation, transmission, distribution, and consumption. The findings highlight the crucial role of the consumption stage in nurturing agricultural growth through rural power infrastructure construction. Notably, the investigation reveals that residential electricity consumption and the number of service users have a significantly positive impact on rural agricultural development, while the influence of agricultural electricity consumption remains comparatively limited when compared with the secondary and tertiary sectors. Furthermore, the data-driven predictive model introduced in this study provides a more precise forecast of future trends in rural agricultural development. This research underscores the critical importance of conducting in-depth explorations to uncover the actual role of power infrastructure development in the context of rural agriculture. With regards to rural power infrastructure construction, it is advisable to invest prudently, formulate relevant policies, with a specific focus on the consumption stage, and implement targeted technology upgrades to enhance productivity and ultimately promote agricultural development.
Keyword ：
Agricultural development Agricultural development Data -driven predictive model Data -driven predictive model Panel threshold model Panel threshold model Principal component analysis Principal component analysis Rural power infrastructure Rural power infrastructure
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| GB/T 7714 | Li, Kuanhong , Wang, Linping , Wang, Lianhui . Consumption as the catalyst: Analyzing rural power infrastructure and agricultural growth through panel threshold regression and data-driven prediction [J]. | APPLIED ENERGY , 2024 , 365 . |
| MLA | Li, Kuanhong et al. "Consumption as the catalyst: Analyzing rural power infrastructure and agricultural growth through panel threshold regression and data-driven prediction" . | APPLIED ENERGY 365 (2024) . |
| APA | Li, Kuanhong , Wang, Linping , Wang, Lianhui . Consumption as the catalyst: Analyzing rural power infrastructure and agricultural growth through panel threshold regression and data-driven prediction . | APPLIED ENERGY , 2024 , 365 . |
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以2008—2022年中国A股公司为研究样本，采用反事实分析法中的倾向得分匹配-双重差分(propensity score matching-difference-in-difterence, PSM-DID)模型，从重污染企业债务规模的角度对绿色信贷政策的实施效果进行评估，并进一步分析企业异质性的影响。结果表明，2012年《绿色信贷指引》实施后，重污染企业的债务规模得到显著抑制，政策效果明显，但存在着不平衡的现象，国有重污染企业和处于地方政府债务较低的地区的重污染企业受到的抑制更强，政策效果相对更好。最后根据结论提出启示与建议。
Keyword ：
反事实分析法 反事实分析法 地方政府债务 地方政府债务 绿色信贷政策 绿色信贷政策 重污染企业 重污染企业
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| GB/T 7714 | 何沁宇 , 王林萍 . 绿色信贷政策能否抑制重污染企业债务规模?——基于反事实分析法的政策效果评估 [J]. | 科技和产业 , 2023 , 23 (22) : 26-32 . |
| MLA | 何沁宇 et al. "绿色信贷政策能否抑制重污染企业债务规模?——基于反事实分析法的政策效果评估" . | 科技和产业 23 . 22 (2023) : 26-32 . |
| APA | 何沁宇 , 王林萍 . 绿色信贷政策能否抑制重污染企业债务规模?——基于反事实分析法的政策效果评估 . | 科技和产业 , 2023 , 23 (22) , 26-32 . |
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以 2008-2022 年中国 A股公司为研究样本,采用反事实分析法中的倾向得分匹配-双重差分(propensity score matching-difference-in-difterence,PSM-DID)模型,从重污染企业债务规模的角度对绿色信贷政策的实施效果进行评估,并进一步分析企业异质性的影响.结果表明,2012 年《绿色信贷指引》实施后,重污染企业的债务规模得到显著抑制,政策效果明显,但存在着不平衡的现象,国有重污染企业和处于地方政府债务较低的地区的重污染企业受到的抑制更强,政策效果相对更好.最后根据结论提出启示与建议.
Keyword ：
反事实分析法 反事实分析法 地方政府债务 地方政府债务 绿色信贷政策 绿色信贷政策 重污染企业 重污染企业
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| GB/T 7714 | 何沁宇 , 王林萍 . 绿色信贷政策能否抑制重污染企业债务规模? [J]. | 科技和产业 , 2023 , 23 (22) : 26-32 . |
| MLA | 何沁宇 et al. "绿色信贷政策能否抑制重污染企业债务规模?" . | 科技和产业 23 . 22 (2023) : 26-32 . |
| APA | 何沁宇 , 王林萍 . 绿色信贷政策能否抑制重污染企业债务规模? . | 科技和产业 , 2023 , 23 (22) , 26-32 . |
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针对金融波动性和市场风险，基于A股市场上70余只智能板块的股票近10年的四因子数据，从神经网络模型入手实证分析，利用随机梯度算法对收盘价预测，比较预测值与实际值的模型误差及损失函数，进行因子选取、算法改进及指标择优。结果表明，神经网络模型参数在批次为2、迭代次数为4 150时，MSE(均方误差)、MAPE(平均绝对百分比误差)、MAE(平均绝对误差)分别为60.191 1、30.732 6、4.803 2,收盘价的拟合效果最佳，该参数下的神经网络模型可用于探究股票市场价格趋势，为投资者、金融机构提供一定参考依据。
Keyword ：
数据拟合 数据拟合 智能产业板块 智能产业板块 神经网络 神经网络 股票预测 股票预测 随机梯度下降法 随机梯度下降法
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| GB/T 7714 | 庄妍 , 王林萍 . 基于神经网络模型的智能产业板块股价探究 [J]. | 科技和产业 , 2023 , 23 (14) : 250-258 . |
| MLA | 庄妍 et al. "基于神经网络模型的智能产业板块股价探究" . | 科技和产业 23 . 14 (2023) : 250-258 . |
| APA | 庄妍 , 王林萍 . 基于神经网络模型的智能产业板块股价探究 . | 科技和产业 , 2023 , 23 (14) , 250-258 . |
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农户家庭发展韧性是衡量农户家庭在面对各种压力源和无数冲击后避免陷入贫困的能力。在运用高阶条件矩测算农户家庭发展韧性的基础上，探究数字普惠金融对农户家庭发展韧性的影响，对数字普惠金融能否实现反贫困治理的可持续性具有重要的意义。研究发现，数字普惠金融可以增强农户家庭发展韧性。其中，农户社会资本积累是作用机制之一。最后，从继续推行数字普惠金融政策、人力资本投资及社会资本三方面提出对策建议。
Keyword ：
农户发展韧性 农户发展韧性 数字普惠金融 数字普惠金融 社会资本 社会资本
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| GB/T 7714 | 吴冰彬 , 王林萍 . 数字普惠金融对农户家庭发展韧性的影响研究 [J]. | 技术经济与管理研究 , 2023 , 5 (07) : 56-60 . |
| MLA | 吴冰彬 et al. "数字普惠金融对农户家庭发展韧性的影响研究" . | 技术经济与管理研究 5 . 07 (2023) : 56-60 . |
| APA | 吴冰彬 , 王林萍 . 数字普惠金融对农户家庭发展韧性的影响研究 . | 技术经济与管理研究 , 2023 , 5 (07) , 56-60 . |
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