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ESG and firm operational efficiency: evidence from Chinese listed companies
IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-04 DOI: 10.1007/s10668-024-05865-y
Bin Wang, Chenchen Wei, Longmei Shi, Xiaoqiang Cheng, Xueqin Shi

This paper aims at exploring whether and how environment, social responsibility, and corporate governance (ESG) affects firm operating efficiency (FOE). The potential moderating role of cash flow has also been studied in an effort to disentangle its relationships in this context. By using data on A-share listed companies from 2011 to 2020 in China, we find that a good ESG performance has a significantly positive impact on FOE. After changing the measurement of FOE, using Huazheng ESG performance and a series of stability tests such as endogenous tests, the results are still robust. Meanwhile, we find that the primary driver of the positive impact of ESG on FOE lies in its capacity to enhance economies of scale. In addition, we also find that ESG has a more pronounced effect on FOE for non-manufacturing enterprises and privately-owned enterprises. These results suggest that ESG has become an effective way to improve FOE. Exploring the impact of ESG performance on corporate operational efficiency is of significant practical significance for getting rid of corporate development difficulties, promoting good business operation, advancing the upgrading of the industrial structure of the industry, and ultimately realizing the efficient and steady growth of the industry as a whole.

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引用次数: 0
Determination of eco-efficiency and optimization of input utilization in hazelnut production of Türkiye
IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-12-30 DOI: 10.1007/s10668-024-05836-3
Uğur Başer

The heavy reliance on input use in hazelnut production not only reduces economic efficiency but also threatens environmental sustainability, highlighting the need for improved input management and reduced ecological impact. This study aimed to assess the eco-efficiency of hazelnut farms using an input-oriented inverse DEA approach, determine the optimal input levels, and identify the factors contributing to eco-inefficiency through truncated regression analysis. Primary data were collected from 121 hazelnut farms through face-to-face interviews in the provinces of Giresun, Ordu, and Samsun in Türkiye. The inverse DEA method was used to evaluate eco-efficiency, while the truncated regression model was used to identify factors contributing to eco-inefficiency. The results revealed that the highest greenhouse gas (GHG) emissions in hazelnut production were caused by pesticides, contributing 153.58 kg CO2-eq of GHG emissions per hectare. This was followed by manure at 132.53 kg CO2-eq per hectare, chemical fertilizer at 78.44 kg CO2-eq per hectare, and diesel fuel at 72.66 kg CO2-eq per hectare. The average eco-efficiency score was calculated to be 82.8%, meaning that inputs could be reduced by 17.2% without affecting output. Pesticide use accounted for 24.83% of the total emissions, while manure contributed 21.42%, making them the largest sources of emissions. In hazelnut production, labor input was the most over-utilized resource, accounting for 12.40% of the total, followed by land size at 11.32% and other inputs at 10.53%. The eco-inefficiency model results showed that farming experience was statistically significant at the 10% level, agricultural insurance at the 5% level, and social security at the 1% level. The inefficient use of resources has a negative impact on both the economy and the environment. Therefore, implementing policies that promote the efficient use of inputs will significantly enhance the eco-efficiency of hazelnut production in Türkiye.

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引用次数: 0
Correction: Influence of responsible leadership on employee green behavior: the role of green role identity and green human resource management
IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-12-09 DOI: 10.1007/s10668-024-05845-2
Zhiyong Han, Mingxia Chen, Chuanyun Jiang
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引用次数: 0
Influence of responsible leadership on employee green behavior: the role of green role identity and green human resource management
IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-29 DOI: 10.1007/s10668-024-05752-6
Zhiyong Han, Mingxia Chen, Chuanyun Jiang

Drawing upon role identity theory and situational strength theory, this paper investigates the mechanisms that connect employees’ green activities with responsible leadership. Using information from a survey of 260 workers across multiple enterprises in Anhui Province, this study reveals that responsible leadership enhances employees’ green role identity, subsequently motivating them to adopt green practices. Furthermore, the association between employees’ green behaviors and responsible leadership is mediated by green role identity. Higher levels of green human resource management reinforce the favorable association between employees’ green behaviors and their green role identity, while green human resource management moderates this relationship. Furthermore, the association between responsible leadership and employees’ green actions is mediated by green role identity, which is moderated by green human resource management. The mediation is amplified at higher levels of green human resource management. This paper deepens our comprehension of the mechanisms and boundaries conditions of responsible leadership, offering valuable insights for enhancing organizational environmental management and guiding employee green behaviors.

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引用次数: 0
Assessing the environmental performance of a university campus using a life cycle assessment approach
IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-26 DOI: 10.1007/s10668-024-05730-y
Şenay Çetin Doğruparmak, Simge Çankaya, Murat Efgan Kibar, Beyhan Pekey

Universities undertake critical duties in the development of countries and increasing the level of welfare. Therefore, to achieve sustainable development goals, it is important that they focus their efforts on sustainable campus practices and contribution to society. In this work, organizational life cycle assessment was conducted to identify major environmental aspects and the most impactful processes related to the education and research activities of Kocaeli University. Life cycle impact assessment was performed by EF 3.0 method to evaluate sixteen environmental impact categories and they were comparatively assessed for the two scenarios: present situation (PS) and alternative scenario (AS—which includes increasing renewable energy rate in electricity generation). The major environmental aspects were identified as climate change and use of fossil resources. They constituted approximately 41% and 20% of overall environmental burden of the university campus for the year of 2022; respectively. Considering the processes related to the university campus activities, electricity consumption and heating with natural gas were determined as the most impactful processes which accounted for approximately 80% of the overall environmental burden. On the contrary, treatment of wastewater in the biological wastewater treatment plant located on the university campus ensured 6% environmental saving on overall environmental burden. Comparing two scenarios, it was determined that all impact categories decreased in AS compared with PS; except from the impact category for mineral and metal resource use. According to the uncertainty analysis, AS performed better than PS by 60% of the iterations for overall environmental burden.

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引用次数: 0
Research on the relationship between environmental governance pressure and green innovation 环境治理压力与绿色创新关系研究
IF 4.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-26 DOI: 10.1007/s10668-024-05634-x
Wen Yu Tan, Lingjun Guo, Wenhua Wang

In the context of building an ecological civilization, green innovation has become a key pathway to achieving sustainable development. Environmental governance pressure, as an external driving force, compels enterprises to assume environmental responsibilities and serves as a critical driver of green innovation. However, this relationship remains underexplored in academic research. Based on this, this study investigates the impact of environmental governance pressure on green innovation, providing empirical support for the development of green strategies. Analyzing provincial panel data from China (2007–2021) using spatial econometric models, we explore the intricate mechanisms by which environmental governance pressure influences green innovation and how these effects vary between coastal and inland regions. The findings present a comprehensive picture: ① Environmental governance pressure significantly stimulates green innovation across Chinese provinces; ② Compared to inland regions, coastal areas experience a more pronounced positive effect; ③ There is a threshold effect, where moderate environmental regulation amplifies the positive impact of governance pressure on green innovation; ④ Green credit and innovation investment partially mediate the relationship between governance pressure and green innovation. These findings collectively enhance our understanding of how environmental governance pressure guides and stimulates the trajectory of green innovation.

在生态文明建设背景下,绿色创新已成为实现可持续发展的重要途径。环境治理压力作为一种外部驱动力,迫使企业承担环境责任,是推动绿色创新的重要动力。然而,这种关系在学术研究中仍未得到充分探讨。基于此,本研究考察了环境治理压力对绿色创新的影响,为绿色战略的制定提供实证支持。本文利用空间计量模型分析了中国2007-2021年的省级面板数据,探讨了环境治理压力影响绿色创新的复杂机制,以及这些影响在沿海和内陆地区之间的差异。研究结果表明:①环境治理压力显著促进了中国各省的绿色创新;②与内陆地区相比,沿海地区的正向效应更为明显;③存在阈值效应,适度的环境规制放大了治理压力对绿色创新的正向影响;④绿色信贷和创新投资在治理压力与绿色创新之间起到部分中介作用。这些发现共同增强了我们对环境治理压力如何引导和刺激绿色创新轨迹的理解。
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引用次数: 0
Effect of green synthesized silver nanoparticles on growth and physiological responses of pearl millet under salinity stress
IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-20 DOI: 10.1007/s10668-024-05453-0
Zakir Ullah, Syed Inzimam Ul Haq, Abd Ullah, Muhammad Ahsan Asghar, Mahmoud F. Seleiman, Khansa Saleem, Fanjiang Zeng, Noor Us Sama, Khalid Kamran, Sheraz Ahmad

Agricultural production and food security are hindered by abiotic stress in plants. Consequently, novel approaches are needed to overcome these problems and achieve sustainability. Crop production has been demonstrated to be improved by nanoparticles under several biotic and abiotic stress conditions. This experiment examined the effect of different concentrations of green synthesized silver nanoparticles AgNPs (15, 25, 35, 45, and 55 ppm) on the growth and physiological responses of pearl millet subjected to NaCl stress levels (50, 75, 100, 125, and 150 mM); (3) Results: In the current research, the NaCl stress levels significantly reduced the growth metrics (shoot length, root length, shoot fresh and dry weight, and root fresh and dry weight) chlorophyll a, chlorophyll b and soluble protein, compared to control. Contrary to this, all stress levels induced an increase in osmolytes (soluble sugars and proline) and antioxidant enzymes including superoxide dismutase, catalase, and ascorbate peroxidase. It is likely that the diminished growth metrics of NaCl-treated seedlings are due to the increased effort put forth in osmotic adjustment and antioxidant defense mechanisms to counteract reactive oxygen species and oxidative stress. The foliar spray of AgNPs, however, further enhanced osmotic and O2--H2O2 scavenging mechanisms in NaCl stressed seedlings to reduce the oxidative stress damages, resulting in improved growth. Overall, AgNPs application improved the growth metric, chlorophyll pigments, osmolytes, and antioxidant mechanism of salt-stressed seedlings in a dose-additive manner. However, further testing of AgNPs is required with pearl millet and other cereals in the field to validate these results.

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引用次数: 0
Analyzing the effects of socioeconomic, natural and landscape factors on PM2.5 concentrations from a spatial perspective 从空间角度分析社会经济、自然和景观因素对 PM2.5 浓度的影响
IF 4.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-09-19 DOI: 10.1007/s10668-024-05425-4
Jun Song, Chunlin Li, Yuanman Hu, Zaiping Xiong, Lujia Zhao, Zhenxing Li

PM2.5, as a major air pollutant, remains unclear as to what factors influence it and the magnitude of the influence. Ten influencing factors, including socioeconomic, natural and landscape indicators, were chosen, and the effects of these factors on PM2.5 concentration was examined through Pearson correlation analysis and the boosted regression tree model. The findings indicate that PM2.5 concentration was most affected by GDP, NDVI and precipitation. The GDP imposed the most notable positive effect in China. The temperature imposed the greatest negative effect in East China. Northeast, North and Northwest China were the most negatively affected by the NDVI. Southwest and South-Central China were the most negatively affected by the relative humidity. More than half of the areas were affected by the main positive effects of GDP and more than a third of the areas were affected by the main negative effects of RH. This study systematically studied the correlations between PM2.5 concentrations and their influencing factors from a spatial perspective over a long time series. The findings could contribute to a more comprehensive understanding of the factors influencing PM2.5 and offer a theoretical basis for zonal PM2.5 pollution management.

PM2.5 作为一种主要的空气污染物,其影响因素和影响程度尚不明确。本文选取了包括社会经济指标、自然指标和景观指标在内的 10 个影响因素,通过皮尔逊相关分析和增强回归树模型研究了这些因素对 PM2.5 浓度的影响。结果表明,PM2.5 浓度受 GDP、NDVI 和降水的影响最大。GDP 对中国的正向影响最为显著。气温对华东地区的负面影响最大。东北、华北和西北地区受 NDVI 的负面影响最大。西南和中南部受相对湿度的负面影响最大。超过一半的地区受到 GDP 的主要正面影响,超过三分之一的地区受到相对湿度的主要负面影响。这项研究从空间角度系统地研究了长时间序列中 PM2.5 浓度与其影响因素之间的相关性。研究结果有助于更全面地了解 PM2.5 的影响因素,并为分区 PM2.5 污染管理提供理论依据。
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引用次数: 0
Addressing the contradiction between water supply and demand: a study on multi-objective regional water resources optimization allocation 解决水资源供需矛盾:多目标区域水资源优化配置研究
IF 4.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-09-19 DOI: 10.1007/s10668-024-05214-z
Jingyi Chu, Zhaocai Wang, Xiaoguang Bao, Zhiyuan Yao, Xuefei Cui

As a result of economic development, population growth, accelerated urbanization and the frequent occurrence of extreme weather events, the contradiction between the supply and demand for water resources between regions has become increasingly acute. In order to solve the problem of regional water shortage and irrational utilization, the optimal allocation of water resources has become one of the research hotspots in recent years. In this study, firstly a multi-objective integrated allocation model of regional water resources is constructed by introducing social, economic, and environmental objective functions to address the complex uncertainties in the water resources system. Secondly, the standard whale algorithm is optimized and improved by introducing chaotic population initialization, chaotic convergence factor, adaptive Lévy flight and improved positive cosine mechanism. The model parameters, including the 2025 water resource demand and supply, pollutant discharge content, and unit water supply cost coefficients, are set by consulting the Shanxi Water Resources Bulletin 2022, the Shanxi Provincial Department of Water Resources, and the Report on the Work of the Shanxi Provincial Government 2023. Subsequently, the improved whale algorithm is utilized for the optimization of the predicted water resources for various target years in the future in the lower reaches of the Fen River in Shanxi Province, China. This ultimately yields optimized allocation results independently from both supply and demand sides. The experimental results demonstrate that the framework for water resource optimization using the improved whale algorithm is feasible, providing a reference scheme for regional multi-objective water resource optimization. Finally, the proposed policy recommendations emphasize the necessity of strengthening water diversion planning and management, promoting virtual water and water-saving initiatives, and highlighting water recycling and environmental protection in order to ensure the sustainable allocation of water resources in the downstream Fen River basin.

随着经济发展、人口增长、城市化进程加快以及极端天气事件频发,区域间水资源供需矛盾日益突出。为解决区域水资源短缺和不合理利用问题,水资源优化配置成为近年来的研究热点之一。本研究首先针对水资源系统的复杂不确定性,引入社会、经济和环境目标函数,构建了区域水资源多目标综合配置模型。其次,通过引入混沌种群初始化、混沌收敛因子、自适应莱维飞行和改进的正余弦机制,对标准鲸鱼算法进行了优化和改进。参考《2022 年山西省水资源公报》、《山西省水利厅工作报告》和《2023 年山西省政府工作报告》,设定模型参数,包括 2025 年水资源供需量、污染物排放量、单位供水成本系数等。随后,利用改进的鲸鱼算法对中国山西省汾河下游未来各目标年的水资源量进行预测优化。最终得出了供需双方独立的优化分配结果。实验结果表明,利用改进的鲸鱼算法进行水资源优化的框架是可行的,为区域多目标水资源优化提供了参考方案。最后,提出了政策建议,强调必须加强引水规划管理,推广虚拟水和节水举措,突出水循环利用和环境保护,以确保汾河下游流域水资源的可持续配置。
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引用次数: 0
Development of single and dual crop coefficients for drip-irrigated broccoli using weighing type field lysimeters in semi-arid environment 在半干旱环境中利用称重式田间溶液仪开发滴灌西兰花的单作物和双作物系数
IF 4.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-09-18 DOI: 10.1007/s10668-024-05416-5
Jitendra Rajput, Man Singh, K. Lal, Manoj Khanna, A. Sarangi, J. Mukherjee, Shrawan Singh, Dimple

Estimating crop evapotranspiration is critical in effective planning and management of irrigation systems. Accurate estimation of crop water use may aid in achieving economic and environmental benefits by optimizing water resources. Thus, the current investigation aimed to quantify crop evapotranspiration (ETc) & develop single (Kc) and dual crop coefficients for Rabi broccoli. Thus, a 2 years field study was conducted during Rabi 2016–17 and 2017–18 by employing weighing type field lysimeter in a semi-arid climatic condition. Results revealed that, seasonal broccoli ETc was 149 mm (mm) and 144 mm during 2016–2017 and 2017–2018 crop periods, respectively. The Kc values during Rabi 2016–17 were 0.68, 0.84, 1.04, and 0.94 for initial stage (IS), development stage (DS), mid-season stage (MS), and late season stage (LS), respectively. Similarly, in 2017–18, the Kc was found to be 0.67, 0.82, 1.03, and 0.93 during IS, DS, MS, and LS, respectively. In dual crop coefficient approach, the basal crop coefficient (Kcb) was 0.30, 0.66, 0.97 and 0.84 and the soil evaporation coefficient (Ke) was 0.42, 0.23, 0.18 and 0.23 for IS, DS, MS, and LS, respectively. While, during Rabi 2017–18, the Kcb was 0.30, 0.65, 0.98 and 0.85 and Ke found to be 0.41, 0.23, 0.18 and 0.22 for IS, DS, MS and LS, respectively. Study found that the developed crop coefficients were lesser than the food and agriculture organization (FAO) values and thus the precise crop water estimation can be possible utilizing the developed coefficients in the semi-arid climate. The developed regional broccoli crop coefficients may be utilized to improve water productivity in semi-arid environments through meticulous irrigation scheduling. The developed technological knowledge would lead to saving of precious irrigation water with optimal crop production and have environmental benefits by reducing the irrigation water need.

Graphical abstract

估算作物蒸散量对于有效规划和管理灌溉系统至关重要。准确估算作物用水量有助于通过优化水资源实现经济和环境效益。因此,目前的调查旨在量化作物蒸散量(ETc)及样本,并开发 Rabi 西兰花的单作物系数(Kc)和双作物系数。因此,在 2016-17 年和 2017-18 年的 Rabi 期间,在半干旱气候条件下采用称重式田间蒸渗仪进行了为期两年的田间研究。结果显示,在2016-2017年和2017-2018年作物期,季节性西兰花ETc分别为149毫米(mm)和144毫米(mm)。2016-17 年 Rabi 期间,初期(IS)、发育期(DS)、中期(MS)和后期(LS)的 Kc 值分别为 0.68、0.84、1.04 和 0.94。同样,在 2017-18 年,IS、DS、MS 和 LS 期的 Kc 分别为 0.67、0.82、1.03 和 0.93。在双作物系数法中,IS、DS、MS 和 LS 的基础作物系数(Kcb)分别为 0.30、0.66、0.97 和 0.84,土壤蒸发系数(Ke)分别为 0.42、0.23、0.18 和 0.23。而在 2017-18 年 Rabi 期间,IS、DS、MS 和 LS 的 Kcb 分别为 0.30、0.65、0.98 和 0.85,Ke 分别为 0.41、0.23、0.18 和 0.22。研究发现,所开发的作物系数小于联合国粮农组织(FAO)的数值,因此在半干旱气候条件下可以利用所开发的系数对作物水分进行精确估算。利用所开发的区域西兰花作物系数,可通过精细的灌溉调度提高半干旱环境下的水分生产率。所开发的技术知识将通过优化作物生产节约宝贵的灌溉用水,并通过减少灌溉用水需求对环境产生益处。
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引用次数: 0
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Environment, Development and Sustainability
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