通讯机构:
[Xiao, HZ ; Deng, L ] H;Hunan Agr Univ, Coll Business, Changsha 410128, Hunan, Peoples R China.;Hunan Agr Univ, Coll Econ, Changsha 410128, Hunan, Peoples R China.
关键词:
Family farms;cooperatives;agricultural socialized services;supply level;propensity score matching method.
摘要:
Based on the micro-survey data of 424 family farms in Hunan Province in 2022, this study employs the propensity score matching method to empirically examine the impact of joining cooperatives on the supply level of agricultural socialized service by family farms. The study indicates that joining cooperatives can significantly improve the supply level of agricultural socialized services by family farms; The impact of joining cooperatives varies for different types of agricultural socialized services; Enhancing the awareness of agricultural socialized services among family farmers serves as an intermediary approach for cooperatives to facilitate the provision of agricultural socialized services to small-scale farmers. Hence, it is imperative to proactively encourage family farms to participate in cooperatives, enhance the promotion of agricultural socialized services, and offer policy assistance to enhance the supply level of agricultural socialized services for family farms.
摘要:
Family farm sustainability is an essential guarantee for increasing the resilience of food systems. Based on the network embeddedness theory and entrepreneurial bricolage theory, an exploratory longitudinal case study was adopted. The value-creating behaviors of family farms in different entrepreneurial periods were described and a process model of family farms sustainability with network embeddedness and entrepreneurial bricolage was constructed. The study revealed that family farms faced resource constraints such as shortage of element resources, insufficient market resources and lack of knowledge resources during the induction, start-up, and growth periods, respectively. In order to overcome resource constraints in different entrepreneurial periods, family farms employed multiple network embeddedness ways including relational embeddedness, structural embeddedness and cognitive embeddedness to seek help from actors in the rural social network. Family farms embedded in multiple networks used the entrepreneurial bricolage strategy of “element bricolage – market bricolage – institutional bricolage” to continuously acquire production elements, improve brand awareness, optimize processing techniques and promote the convergence of three industries. Family farms benefited from a win-win result with actors through network embeddedness and entrepreneurial bricolage, and created economic, social and ecological values eventually. The study offers fresh insights into the dynamics of rural entrepreneurship.
摘要:
By constructing the heat transfer model of the buried tube heat exchanger, using the mathematical method and numerical calculation software, the temperature of the buried tube heat exchanger is calculated numerical, so as to better understand the temperature effect of the buried tube heat exchanger on the surrounding soil. This paper establishes a mathematical model of a vertically buried heat transfer system based on the principle of thermal equilibrium and the thermal conductivity differential equation. Conduct research on the temperature field around single pipes in different soil (geological conditions), temperature field under different drilling backfill materials, and the temperature around buried pipe-lines in both short-term and long-term operation of the system. The experimental results show that the simulation results of the system's short time (10 days) and long time (90 days) performance show that the cooling and temperature cycles in different areas directly affect the heat radius of the buried pipe and the heat accumulation near the buried pipe. The thermal action radius of the short-term operation system is about 1.8 m, and the long-term operation reaches 4.5 m.
摘要:
The search for cost-effective, high-performance catalysts is crucial in catalytic co-pyrolysis. Different Fe-Mo@X catalysts (X = Al 2 O 3 , MgO) and reaction temperatures (600 ℃, 700 ℃, 800 ℃, 900 ℃) were tested to optimize hydrogen production and carbon quality while also exploring CNTs degradation performance. The results indicate that both catalyst type and operating parameters are highly dependent on the growth of carbon nanotubes and hydrogen. The FeMo@Al 2 O 3 catalyst exhibits superior catalytic activity attributed to its more abundant mesoporous structure and higher specific surface area. Specifically, FeMo@Al 2 O 3 achieved the highest yield of carbon nanotubes (84.42%) at 700 ℃, and attained the maximum hydrogen yield (49.57%) at 900 ℃. However, the CNTs synthesized from FeMo@MgO exhibited fewer defects, higher graphitization degree and purity (Raman and TPO). CNTs/MgO significantly enhanced the degradation efficiency of Clothianidin by virtue of their superior electron transport properties and chemical bonding between MgO and CNTs.
The search for cost-effective, high-performance catalysts is crucial in catalytic co-pyrolysis. Different Fe-Mo@X catalysts (X = Al 2 O 3 , MgO) and reaction temperatures (600 ℃, 700 ℃, 800 ℃, 900 ℃) were tested to optimize hydrogen production and carbon quality while also exploring CNTs degradation performance. The results indicate that both catalyst type and operating parameters are highly dependent on the growth of carbon nanotubes and hydrogen. The FeMo@Al 2 O 3 catalyst exhibits superior catalytic activity attributed to its more abundant mesoporous structure and higher specific surface area. Specifically, FeMo@Al 2 O 3 achieved the highest yield of carbon nanotubes (84.42%) at 700 ℃, and attained the maximum hydrogen yield (49.57%) at 900 ℃. However, the CNTs synthesized from FeMo@MgO exhibited fewer defects, higher graphitization degree and purity (Raman and TPO). CNTs/MgO significantly enhanced the degradation efficiency of Clothianidin by virtue of their superior electron transport properties and chemical bonding between MgO and CNTs.
摘要:
In recent years, "black swan" events have increasingly occurred across climate, epidemics, geopolitics, and economics, leading to a gradual coupling of different types of risk. Different from isolated shocks as a single type of risk affecting a specific industry, a nexus of risks allows one risk area to quickly relate to others, resulting in more catastrophic impacts. Utilizing an integrated framework, we investigate the contagion effects among climate policy uncertainty, the infectious disease equity market volatility tracker, geopolitical risk, and economic policy uncertainty using volatility, skewness, and kurtosis as risk measures. The results indicate that: (1) The contagion effect of different types of risk increases with higher order risk measures, suggesting that more extreme events are more likely to be contagious across domains. (2) Approximately two-thirds of risk contagion occurs contemporaneously, while about one-third occurs with a lag, indicating that risk contagion combines both immediacy and continuity. (3) Risk contagion exhibits significant time-varying and heterogeneous characteristics. Our study elucidates the inherent contagion characteristics between different types of risk, transforming the understanding of risk from a one-dimensional to a multidimensional perspective. This underscores that risk management should not be confined to a single domain; it is crucial to consider the potential impacts of risks from other industries on one's own.
作者:
Liu, Shun Jia;Li, Jianping;Wu, Dengsheng;Zhu, Xiaoqian;Xu, Xin Long
期刊:
Humanities & Social Sciences Communications,2024年11(1) ISSN:2662-9992
通讯作者:
Xu, XL
作者机构:
[Liu, Shun Jia] Hunan Agr Univ, Sch Business, Changsha 410128, Peoples R China.;[Zhu, Xiaoqian; Li, Jianping] Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China.;[Zhu, Xiaoqian; Li, Jianping] UCAS, MOE Social Sci Lab Digital Econ Forecasts & Policy, Beijing, Peoples R China.;[Wu, Dengsheng] Shenzhen Univ, Coll Management, Shenzhen 518060, Peoples R China.;[Xu, Xin Long; Xu, XL] Hunan Normal Univ, Coll Tourism, Changsha 410081, Peoples R China.
通讯机构:
[Xu, XL ] H;Hunan Normal Univ, Coll Tourism, Changsha 410081, Peoples R China.;Hunan Normal Univ, Inst Interdisciplinary Studies, Changsha 410081, Peoples R China.
摘要:
AbstractCarbon emission reduction is an important means of achieving climate policy goals. However, the literature has neglected consideration of the carbon emission reduction mechanism from the perspective of technology risk spillovers in international trade. To explore this mechanism, this paper expands the classical linear model of foreign trade technology risk spillovers into a nonlinear spatial Durbin model. We construct a novel technology risk spillover index to forecast the magnitude of carbon emissions in agricultural trade across different regions. To validate our model, we consider the dual connotation of the spatial diffusion of disembodied technology communication (DTC) to map the relationships between different geographic and economic regions that are adjacent. The results suggest that disembodied technology risk spillover could promote carbon emission reductions. Specifically, technology risk spillovers from agricultural trade reduce agricultural carbon emissions by 0.79–1.16% in the local region. Disembodied technology risk spillovers also reduce agricultural carbon emissions by 2.85–11.57% in geographically adjacent regions and 4.9% in economically adjacent regions. Based on these conclusions, this paper proposes improving the closed and backward situation of rural areas in China’s central and western regions, promoting the transition toward the high end of the global agricultural industry chain and developing productive agricultural services and the rural cultural tourism industry to expand rural employment channels and stabilize farmers’ income.
作者机构:
[Li, Zhisheng; Zeng, Xiongwang] Hunan Agr Univ, Sch Business, Changsha 410128, Peoples R China.;[Zeng, Fusheng] Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.;[Caputo, Francesco] Univ Naples Federico II, Complesso Univ Monte St Angelo, Dept Econ Management & Inst DEMI, I-80126 Naples, NA, Italy.;[Chin, Tachia] Honghe Univ, Coll Business, Yunnan 661100, Mengzi, Peoples R China.
通讯机构:
[Tachia Chin] C;College of Business, Honghe University, Mengzi 661100, China<&wdkj&>Author to whom correspondence should be addressed.
关键词:
production efficiency of rice;grain security;spatiotemporal evolution;influencing factors;spatial autocorrelation analysis model;geographic detector model
摘要:
<jats:p>In a response to the appeal for securing the rice production efficiency to achieve the United Nations Sustainable Development Goals, we adopted a geographic detector model to investigate the spatiotemporal evolution trajectory and driving forces of the rice production in the world’s largest rice-producing country, China. We have analyzed the spatiotemporal evolution features and aggregation patterns of county rice production efficiency based on panel data of 122 counties in Hunan Province, one of the main grain production provinces in China, from 2006 to 2018. Our findings indicate: (1) Hunan Province’s rice production in three counties (i.e., Taoyuan, Liling, and Anren) showed the highest efficiency; there were pronounced regional variances in rice productivity which results in a sharp and rapid shrink of the range of rice productivity, (2) financial investments in agriculture, forestry, and water resources, as well as per capita disposable income of farmers, were the main determinants of the spatiotemporal variation in rice production efficiency, (3) the spatiotemporal divergence of rice production efficiency at the province level was U-shapedly, influenced by the share of secondary industry in GDP; the southern Hunan region received the biggest contribution from farmers in terms of disposable income per person at the regional level. Overall, theoretically, this study offers fresh evidence for regional optimization of rice and other grain production from a novel integrative approach of the geospatial and the land resource preservation. Practically, it provides feasible guidance for the high-quality development of grain production in China, which may also help eradicate hunger and attain sustainable grain production all over the world.</jats:p>
摘要:
How to identify the spatial spillover effects and pollution risk transfer in cross-border tourism remains a research gap in the literature. This study embeds disembodied technology communications into the classical environmental Kuznets curve to develop a new tourism-induced environmental spatial hyperbolic model to differentiate these two opposite effects. This study finds that the disembodied technology communications of cross-border tourism reduce the pollution emissions of destinations in both local and adjacent regions. The relationships between pollution emissions and the economic growth of destinations in local and adjacent areas present an inverted U-shaped curve and a U-shaped curve, respectively. These results highlight that governments should upgrade the quality of cross-border tourism consumption to induce disembodied technology communications from developed countries.