关键词：
family grain farm;ecological cognition;digital agricultural technology;the sustainable development
摘要：
Based on survey data covering 309 family grain farms in China, a structural equation model was used to conduct an empirical study on the relationship between ecological cognition, digital agricultural technology adoption, and the sustainable development of family grain farms in China. The results are in the following: Ecological cognition has a significant positive effect on the sustainable development of family grain farms. And digital agricultural technology adoption has a partial mediating effect on the influence of ecological cognition on the sustainable development of family grain farms. The ecological cognition level of farmers should be continuously improved, and more support should be given to adopt digital agricultural technology to effectively promote the sustainable development of family grain farms in China.
摘要：
We examine how industrial robots influence green innovation in 41 countries from 1995 to 2019. Results show that robots significantly boost green innovation by attracting FDI, enhancing productivity and R&D, and improving industrial competitiveness. National AI policies, especially enablers and incentives, amplify this effect, with stronger impacts in countries with lower R&D and competitiveness. The effect is also more pronounced in nations with lower income, weaker digital infrastructure, and higher environmental awareness. Using tariff changes as an instrument, we find evidence suggesting a causal relationship. Our findings highlight the green innovation potential of emerging economies through industrial robotics.
期刊：
Journal of Environmental Management,2024年352:119851 ISSN：0301-4797
通讯作者：
Zhu, ML
作者机构：
[Xu, Junbing] Minjiang Univ, NewHuadu Business Sch, Fuzhou City, Fujian Province, Peoples R China.;[Zhu, Minling] Hunan Agr Univ, Econ Coll, Changsha City, Hunan Province, Peoples R China.;[Zhan, Shaoguo] Chinese Acad Social Sci, Inst Chinese Borderland Studies, Beijing City, Peoples R China.;[Xu, Junbing] Area 1,200,Xiyuangong Rd, Fuzhou City, Fujian Province, Peoples R China.;[Zhu, Minling] Hunan Agr Univ, Coll Agr, Room 219,North 10th Teaching Bldg,1 Yuanda Rd, Changsha City 410125, Hunan Province, Peoples R China.
通讯机构：
[Zhu, ML ] H;Hunan Agr Univ, Econ Coll, Changsha City, Hunan Province, Peoples R China.
作者机构：
[Lin, Ling] Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.;[Lin, Ling] Nanyang Technol Univ, Sch Social Sci, Singapore 639798, Singapore.;[Jiang, Yong] Nanjing Audit Univ, Sch Finance, Nanjing 211815, Peoples R China.;[Zhou, Zhongbao] Hunan Univ, Sch Business Adm, Changsha 410082, Peoples R China.
通讯机构：
[Zhou, ZB ] H;Hunan Univ, Sch Business Adm, Changsha 410082, Peoples R China.
关键词：
Policy uncertainty and fossil fuel energy;Global ESG investment;Asymmetric time -frequency spillover networks
摘要：
This study investigates the asymmetric spillover network connectedness of policy uncertainty, the fossil fuel energy market, and global ESG investment by using a time-frequency domain analysis. The study employs a time-varying filter for the empirical mode decomposition method and Pearson correlation coefficient to distinguish signals' dynamic frequency and amplitude. We combine a two-state fractionally integrated asymmetric power autoregressive conditional heteroskedasticity with asymmetric time-varying parameter vector autoregression and vector autoregression-common factor variance decomposition. The Vector Auto Regression-common factor model is also considered. The results demonstrate that when the economy runs smoothly, risks originating from the natural gas market have indirect spillover effects on emerging economies' ESG investment. When normal economic fluctuations occur, risks arising from fossil fuel energy markets and US climate policy uncertainty exert separate direct and indirect spillovers to the global ESG investment. Second, when the economy declines, different types of spillovers occur from US economic policy uncertainty (EPU) to global ESG investment. During the recession, greater risks in the crude oil market and the uncertainty in China's economic policy caused separate indirect spillovers to advanced economies' ESG investment. Third, with the continuous occurrence of irregular events, asymmetric spillovers can originate from the natural gas market and US EPU. When extreme events occur, positive risks from China's economic policy can be indirectly transmitted to emerging economies' ESG investment, while negative risks from the US monetary policy can be directly transferred to global ESG investment. Finally, the crude oil market can directly transmit an idiosyncratic risk to global ESG investment.
期刊：
Frontiers in Sustainable Food Systems,2024年8:1371520 ISSN：2571-581X
通讯作者：
Abate, MC
作者机构：
[Abate, MC; Cai, Baozhong; Abate, Meseret Chanie] Hunan Univ Sci & Engn, Res Inst Rural Revitalizat, Hunan, Peoples R China.;[Wangda, Liao] Hunan Agr Univ, Coll Econ, Changsha, Peoples R China.;[Shi, Fang] Hunan Univ Chinese Med, Sch Humanities & Management, Changsha, Peoples R China.;[Geremew, Betelhemabraham] Hunan Agr Univ, Sch Publ Adm, Changsha, Peoples R China.;[Addis, Amsalu K.] Hubei Univ, Sch Business, Wuhan, Peoples R China.
通讯机构：
[Abate, MC ] H;Hunan Univ Sci & Engn, Res Inst Rural Revitalizat, Hunan, Peoples R China.
关键词：
grain yield;agricultural socialized services;Farmland use right transfer;threshold effect;Land tenure policy
摘要：
Revolutionary agricultural structural reforms in the supply chain and cutting-edge institutional mechanisms are pivotal in catalyzing a quantum leap in food production. China's focus on achieving self-sufficiency in grain production for domestic security necessitates structural reforms in the agricultural supply chain and innovative institutional mechanisms. The emergence of socialized agricultural institutions plays a pivotal role in providing essential services to smallholder farmers. However, a dearth of studies evaluating the efficacy of these services in enhancing grain production exists. This study aims to fill this gap by analyzing provincial panel data from China spanning 2011 to 2020 to evaluate the impact of Agricultural Socialized Services (ASS) development levels on grain production. Employing panel and panel threshold models for empirical analysis, the research investigates how this impact varies between major grain-producing regions and non-major grain-producing regions. Findings indicate a significant positive effect of ASS on grain production, with a correlation coefficient of 1.3555. While its impact is less pronounced in grain-producing regions, it proves beneficial in non-grain regions. Moreover, the transfer of farmland use rights amplifies ASS's influence on grain production, with a threshold value of 33.18%. The study concludes by outlining policy implications from various perspectives, providing practical recommendations for policymakers and stakeholders in the agricultural sector.
