关键词:
Dongting Lake area;Ecological environment;Zoning control;Influencing factors;ecological restoration
摘要:
Introduction: Protecting the ecosystem of the Dongting Lake area is of utmost importance for maintaining ecological balance and achieving human well-being. Methods: This study identifies the key factors influencing the remote sensing based ecological index (RESI) in the Dongting Lake area based on the spatial and temporal evolution characteristics of the RESI and environmental changes and anthropogenic disturbance factors. The priority zoning for ecological restoration was delineated in combination with the anthropogenic composite index (ACI). By exploring the influence of anthropogenic disturbances on RESI, the zoning locations were determined using spatial statistics and linear regression methods. Results: The overall RESI of the Dongting Lake area showed a decline from 2001 to 2020, with the mean value decreasing from 0.52 to 0.48. High-quality zones were mainly located in mountainous and forested areas, while low-quality zones were mainly distributed in more developed cities in the east urban area. Anthropogenic factors were the main reasons for the decline in the ecological environment, while natural factors showed a positive correlation with RESI. Based on the RESI and ACI, four ecological control zones (H-H, H-L, L-H, and L-L) were delineated, which accounted for a total of 45.66% of the Dongting Lake area. Among them, 3.91% required immediate control and management, while 17.80% required artificial maintenance. This study explores the influencing factors and mechanisms of the ecological environment quality in the Dongting Lake area, and explores the effective spatial paths for the implementation of ecological restoration zoning control and differentiated restoration strategies in the Dongting Lake area. Discussion: This study provides a scientific basis for mitigating ecological and environmental problems in the Dongting Lake area, and provides a reference for ecological restoration and regulation and the realization of sustainable development goals in China and global regions with complex environmental problems.
通讯机构:
[Long, F ] H;Hunan Agr Univ, Coll Econ, Changsha 410128, Peoples R China.;1 Nongda Rd, Changsha, Hunan, Peoples R China.
关键词:
Grain industrial agglomeration;Grain green total factor productivity;Agricultural green development;Dynamic spatial durbin model;Sustainability;Spillover effect;Carbon emissions
摘要:
Appropriate industrial agglomeration has several benefits, including reducing environmental pollution, promoting innovation and enhancing grain green total factor productivity (GTFP). It is an effective strategy for promoting high-quality and sustainable development in the grain industry. In this study, the slacks-based measure of the global Malmquist-Luenberger (SBM-GML) model is used to estimate China's grain GTFP using the panel data of 31 provinces from 2001 to 2020. Furthermore, a dynamic spatial econometric model is employed to empirically investigate the impact of grain industry agglomeration on grain GTFP and its regional heterogeneity. The results show that GTFP exhibits a fluctuating growth tendency, with advancements in green technology serving as the primary engine of that expansion. (2) The deepening of grain industrial agglomeration has a long-term promoting effect on the grain GTFP of local and neighbouring areas, with the long-term effect being more significant than the short-term effect, as revealed by the dynamic spatial Durbin model. (3) According to the heterogeneity analysis, industrial agglomeration's impact on grain GTFP is most noticeable in the production and sales balance. Therefore, encouraging regional cooperation and communication while raising the grain industrial agglomeration standard is crucial. The degree of regional economic growth, the state of the agricultural infrastructure and the conditions of the natural resources should all be considered by policymakers when developing distinct and focused policy assistance for each region.
关键词:
Land green use efficiency;digital transformation;Resource-based cities;"Broadband China" policy;Stochastic frontier analysis
摘要:
Introduction: Improving land use efficiency is a necessary way to promote sustainable urban development. The objective of this study is to examine the issue of land green use efficiency (LGUE) in resource-based cities and analyze the impact of digital transformation on LGUE. The research utilizes data from 113 resource-based cities in China spanning from 2008 to 2020. Methodology: Firstly, using the stochastic frontier analysis (SFA) to measure LGUE in China cities, this paper investigates the spatial and temporal evolution of LGUE in different cities. Then, this paper explores the impact of digital transformation on the LGUE of resource-based cities based on the broadband China policy using the DID method. Findings: According to the data measured by the SFA, it is found that resource-based cities are 20.4% lower than non-resource-based cities. An in-depth study found that digital transformation significantly improves LGUE, and the effect is greater in resource-based cities, which is a powerful tool to solve the difficulty of LGUE in resource-based cities. Specifically, digital transformation helps to improve the LGUE of resource-based cities enhance by technological innovation and industrial structure upgrading, and alleviating land factor mismatch. Discussion: It is not only necessary to guide and encourage the in-depth integration of traditional industries with digital technology to enhance the digital transformation of resource-based cities, but also to continuously optimize the allocation of land resources between regions and narrow the gap in LGUE between cities.
期刊:
Journal of Environmental Management,2024年358:120881 ISSN:0301-4797
通讯作者:
Zhao, Liyang
作者机构:
[Zhao, Liyang] College of Public Administration and Law, Hunan Agricultural University, Changsha, 410000, China. Electronic address: zlyoffer@stu.hunau.edu.cn;[Yu, Jin; Chen, Hong] College of Public Administration and Law, Hunan Agricultural University, Changsha, 410000, China;[Wen, Chunhui] College of Economics, Hunan Agricultural University, Changsha, 410000, China
通讯机构:
[Zhao, Liyang] C;College of Public Administration and Law, Hunan Agricultural University, Changsha, 410000, China. Electronic address:
摘要:
Motivating the agricultural industry to engage in digital transformation is a challenge academically and socially. It is of great significance to study the choice of digital transformation mode of agricultural industrial organization and analyze its driving factors for promoting the sustainable development of agricultural industrial organization. This study adopts a bilateral evolutionary game to construct a decision-making model for behavioral decision-making during the digital transformation of the agricultural industry. The contingent-actual logical framework and multiple case studies of Yunnan highland agriculture are used to explore the impact of various factors on behavioral decision-making during the digital transformation of the agricultural industry. Additionally, a simulation analysis is used to verify the validity of the bilateral evolutionary game model. The results demonstrate that: (1) When the agricultural industry chooses "active transformation," behavioral decision-making during the digital transformation of the agricultural industry reaches a Nash equilibrium; (2) transformation costs, industry revenue, and reward and penalty mechanisms are the main driving factors for whether or not the agricultural industry chooses to actively engage in digital transformation; and (3) the probability of active digital transformation increases when agricultural industry organizations obtain higher returns at lower costs. Simultaneously, the higher the government's incentives, the greater the enthusiasm. However, when the penalty is excessive, the digital transformation takes the shape of either passive transformation or forced active transformation. Subsequently, it is necessary to improve the digital transformation planning of the agricultural industry, strengthen this field's cooperation mechanism, and formulate a reasonable reward and penalty system for digital transformation.
关键词:
Agricultural green production technology adoption;Market incentives;Perceived benefits;Perceived risks;Perceived value;Policy subsidies
摘要:
Understanding the underlying reasons for farmers' AGPT adoption in the context of resource environment tightening and agricultural carbon reduction has become crucial to promote agriculture sustainable development. This paper uses multiple ordered regression model and probit model to test the impact of farmers' perceived value on their adoption of agricultural green production technologies (AGPT) by using the first-hand data from 613 rice farmers in Hunan, and explores the effect and mechanism of policy subsidies and market incentives on the adoption of AGPT, and investigates the differences in the impact of perceived value on the adoption of green technologies in different production stages. The results showed that, (1)farmers' AGPT adoption is significantly affected by their perceived value, in which perceived benefits significantly promotes farmers' AGPT adoption, while the perceived risks is the opposite. But farmers' AGPT adoption in different production stages is influenced by different perceived value. The adoption of soil testing and fertilization technology (STFT) in the pre-production stage is significantly influenced by the perceived benefits; adoption of green pest control technology (GPCT) in the mid-production stage is significantly influenced by both the perceived benefits and the perceived risks; and adoption of straw return technology (SRT) in the post-production stage is significantly influenced by the perceived risks. (2) Farmers' adoption of green technologies can be encouraged by policy subsidies, which also have the moderating effect of decreasing the negative influence of perceived risks on farmers' adoption behaviour. (3) Further analysis reveals that market incentives can compensate for the limitations of policy subsidies, greatly promote farmers' adoption of AGPT, and regulate farmers' perceived risks and perceived benefits to encourage them to use green technologies. Consequently, the Government should actively publicize and organize training on agriculture green technologies, and provide diversified subsidy programmes for different green technologies. And governments should also improve the quality certification system and the market price mechanism for agricultural products, so as to help farmers adopting green technologies to achieve an increase in their income.
通讯机构:
[Yan, LH; Li, YL ; Yan, LH ] H;Hunan Agr Univ, Coll Hort, Changsha 410128, Peoples R China.;Hunan Bot Garden, Changsha 410128, Peoples R China.;Hunan Midsubtrop Qual Plant Breeding & Utilizat En, Changsha 410005, Peoples R China.;Minist Educ, Engn Res Ctr Hort Crop Germplasm Creat & New Varie, Changsha 410128, Peoples R China.
关键词:
salt stress;Machilus faberi Hemsl;adaptability;plant growth response;physiological indicators;biochemical indicators
摘要:
Adversity stress is the main environmental factor limiting plant growth and development, including salt and other stress factors. This study delves into the adaptability and salt tolerance mechanisms of Machilus faberi Hemsl, a species with potential for cultivation in salinized areas. We subjected the plants to various salt concentrations to observe their growth responses and to assess key physiological and biochemical indicators. The results revealed that under high salt concentrations (500 and 700 mmol(-1)/L), symptoms such as leaf yellowing, wilting, and eventual death were observed. Notably, plant height and shoot growth ceased on the 14th day of exposure. Chlorophyll content (a, b, total a + b, and the a/b ratio) initially increased but subsequently decreased under varying levels of salt stress. Similarly, the net photosynthetic rate, stomatal conductance, leaf water content, and root activity significantly declined under these conditions. Moreover, we observed an increase in malondialdehyde levels and relative conductivity, indicative of cellular damage and stress. The activity of superoxide dismutase and ascorbate peroxidase initially increased and then diminished with prolonged stress, whereas peroxidase activity consistently increased. Levels of proline and soluble protein exhibited an upward trend, contrasting with the fluctuating pattern of soluble sugars, which decreased initially but increased subsequently. In conclusion, M. faberi exhibits a degree of tolerance to salt stress, albeit with growth limitations when concentrations exceed 300 mmol(-1)/L. These results shed light on the plant's mechanisms of responding to salt stress and provide a theoretical foundation for its cultivation and application in salt-affected regions.
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.
摘要:
With global warming, cities are vulnerable to extreme weather, increasing the climate risk to cities worldwide. Although existing literature has examined the ex-post impacts of extreme weather, it is less clear how climate risk affects cites before extreme weather occur. To lower the risk of urban waterlogging, which is caused by extreme weather, and improve the ability of cities to adapt to extreme weather, China launched the Sponge City Project (SCP) in 2013 to manage the urban stormwater and waterlogging. Adopting the SCP pilot in China as a quasi-natural experiment, we examine the impact of the climate risk caused by urban stormwater and waterlogging on the house price with the difference-in-differences (DID) method. We find that after implementing the SCP pilot program, the house price in pilot cities increased significantly because of the improvement in cities' resilience to climate risk. Additionally, this effect was only demonstrated in cities with a high waterlogging risk. For SCP pilot cities with lower waterlogging risk, the house price is not significantly affected by SCP implementation. This indicates that the house price in China is sensitive to the climate risk caused by the urban stormwater and waterlogging. Our findings also contribute to the understanding of the significance of the climate risk management, and provided theoretical evidence for urban governance.