Investigation on railway investment-induced neighborhood change and local spatial spillover effects in Nagoya, Japan by Lisha Wang, Meilan JIANG, Tomio MIWA, Takayuki MORIKAWA

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The spatial spillover effect of China's outgoing audit of natural resource assets on industrial pollution: Evidence from a spatial difference-in-differences method by Shasha Huang, Chang Luo, Zunhong Zhu

“…This study investigates the spatial spillover effects of the OANRA policy on industrial pollution reduction by developing spatial difference-in-differences (SDID) models. …”
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The impact of pilot policy for innovative industrial clusters on green innovation efficiency by Ye Xu, WeiWei Shi

“…Using panel data from 280 prefecture-level cities between 2007 and 2021, we apply difference-in-differences and spatial difference-in-differences (SDID) models to estimate policy effects, spatial spillovers, and transmission mechanisms. …”
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The Prohibition of Forestation on Cultivated Land in China: A Difference-in-Differences Model Analysis of the Effects of Cutting Down Trees on Farmland Transfer by Guanghao Li, Guanyi Yin, Wei Wei, Qingzhi Sun, Zhan Zhang, Shenghao Zhu

“…This article presents several possible scenarios to aid in the design of more systematic policy systems to balance the protection of cultivated land, farmers’ willingness, and the spatial contiguity of cultivated land.…”
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Digital Empowerment, Novel Productive Forces, and Regional Green Innovation Efficiency: Causal Inference Based on Spatial Difference-in-Differences and Double Machine Learning Appr... by Qi Liu, Siyu Liu, Tianning Guan, Luhan Yu, Zemenghong Bao, Yuzhu Wen, Kun Lv

“…To elucidate how digitalization and novel productive forces synergistically drive the green transition, the research utilizes panel data from 30 provincial-level administrative regions in China spanning 2009 to 2022, constructing a green innovation efficiency measurement frame-work grounded in the Super Slack-Based Measure (Super-SBM)model, alongside a novel productive forces evaluation system based on the triad of laborers, labor objects, and means of production. Employing spatial difference-in-differences and double machine learning methodologies within a quasi-natural experimental design, the research investigates the causal mechanisms through which digital empowerment and novel productive forces influence regional green innovation efficiency. …”
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The spatiotemporal and multilevel impacts of metro on urban environmental protection by Zhibin Tao, Xuesong Feng, Hanbing Wang

“…Abstract This study establishes spatial difference-in-differences models to investigate the causal correlation between metro and urban environment, and introduces marginal effects analysis method to examine the direct and indirect effects of metro on urban air quality. …”
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Towards a green world: how new urbanization affects green total factor carbon productivity by Xiaohong Wang, Xuanting Li

“…IntroductionNew urbanization is a powerful support for regional economic growth and green transformation.MethodsIn this paper, we select data from 237 cities at prefecture level and above in China from 2010 to 2021 for quasi-experimental design, and investigate the effects of new urbanization policy pilots on urban green total factor productivity (GTFP) and its mechanism by constructing a multi-period difference-in-differences model.ResultsThe study finds that: a) the construction of new urbanization has a positive impact on promoting urban GTFP, and this result is verified by a series of robustness tests; b) the promotion of industrial structure upgrading, the facilitation of green technological innovation, and the reduction of the degree of resource mismatch all partially mediate the relationship between new urbanization and urban GTFP; c) environmental regulation and market integration both modulate the relationship between the construction of new urbanization and urban GTFP in positive directions; d) heterogeneity analysis shows that, in terms of the two-dimensional city attributes of ‘location-characteristics’, the increase in GTFP is more significant in eastern and central cities, and in non-resource cities; e) further analysis shows that the pilot policies of new urbanization have a spatial spillover effect on GTFP, and the policy spillover effects are mainly affected through mechanisms such as industrial structure upgrading in neighboring municipalities.DiscussionThis study provides new ideas for the next stage of sustainable regional green development in China, thus promoting China's high-quality development with theoretical and practical significance.…”
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The Dynamic Impact of Industrial Robot Penetration on Chain Resilience: City Evidence from China by Rendao Ye, Yilan Zhang

“…This, in turn, encourages more intensive production and fosters stronger coordination across industries. …”
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Integrated Foliar Spraying Effectively Reduces Wheat Yield Losses Caused by Hot–Dry–Windy Events: Insights from High-Yield and Stable-Yield Winter Wheat Regions in China by Oumeng Qiao, Buchun Liu, Enke Liu, Rui Han, Haoru Li, Huiqing Bai, Di Chen, Honglei Che, Yiming Zhang, Xinglin Liu, Long Chen, Xurong Mei

“…First, hourly meteorological data from the ERA5-Land reanalysis (1981–2020) were matched to the centroids of 599 counties within China’s major winter wheat-producing regions, allowing precise alignment with county-level yield data. Subsequently, spatial and temporal trends of sub-daily HDW events were analyzed. …”
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Spatial modeling of rainfed wheat yield using agroclimaticmicrozonation in Kurdistan by Naseh Qaderi, Bohloul Alijani, zahra hejazizadeh, mohammad saligheh

“…Wheat vulnerability at flowering stage is more than other stages. The effect of independent variables on yield at different times of year is proportional to the phonological stage in years Different and different in different regions. …”
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Metabolism and spatial transcription resolved heterogeneity of glutamine metabolism in cervical carcinoma by Qian Liu, Jiayu Zhu, Guzalinuer Abulizi, Ayshamgul Hasim

“…Results The AFADESI-MSI findings have revealed metabolic differences among different CSCC patients. Among them, the metabolic pathways of glutamine show more significant differences. …”
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Spatial spillover effects of swine insurance policy on swine production efficiency in China by Jingyue Feng, Wenbo Zhang, Lin Wang, Bo Hu, Fengjie Xie

“…China’s swine insurance policy serves as a key institutional mechanism for strengthening risk mitigation and resilience, rigorously evaluation of the policy’s impact on swine production efficiency is essential for optimizing agricultural insurance mechanisms and advancing sustainability in the swine industry.MethodsThis study treats the pilot implementation of the swine insurance policy as a quasi-natural experiment, drawing on panel data from 30 Chinese provinces over the years from 2005 to 2021, it employs a spatial difference-in-differences (SDID) model and a mediation effect model to empirically examine the impact of the swine insurance policy on swine production efficiency.ResultsThe results reveal that the swine insurance policy significantly improves swine production efficiency in the implementing provinces and generates substantial spatial spillover effects, the boundary of spatial effect decay is 250 km. …”
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Spatial pattern and its influencing factors of national-level cultural heritage in China by Wei Shen, Yanli Chen, Weiwei Cao, Ruyi Yu, Peijun Rong, Jinlong Cheng

“…The results show that high-density region of CH are mainly located in the southeastern Heihe-Tengchong Line of China, while low-density region are mostly located in the northwestern Heihe-Tengchong Line. In terms of local spatial differences, the spatial distribution of material cultural heritage is different in different river basins, different terrains and different climates. …”
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Spatial Heterogeneity in the Photosynthetic Characteristics of Scleractinian coral Symbiodinium from the Northern South China Sea by Zhang Shuqi, Zhong Yu, Zheng Xiaoyun, Guo Pu, Zhao Meixia, Yan Hongqiang, Shi Qi

“…Three physiological parameters, namely the density of coral symbiotic zooxanthellae, chlorophyll-a content, and photosynthetically effective quantum yield (ΦPSII), were measured to understand the photosynthetic characteristics of scleractinian coral symbionts in relatively high-latitude corals, compare their intergeneric differences among different coral morphologies, and explore the ecological effects of environmental factors by analyzing spatial similarities and differences. …”
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Spatial and Temporal Distribution Characteristics of Carbon Storage in Handan City Based on PLUS and InVEST Models by Zhang Peng, Li Liangtao, Su Yujiao, Wang Qingtao, Han Hongying, Han Hongwei, Li Xiaojing

“…Implementation of ecological protection policies significantly reduced the risk of carbon loss in each district and county, and there are obvious differences among different districts and counties. Carbon loss was more likely to occur in the east-central plain region, while the districts and counties at the eastern foot of the Taihang Mountain in the southwest had strong carbon sink potential, therefore a flexible plan should be made according to location differences.…”
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Balancing Economic Growth and Environmental Conservation: Assessing Supportive Policies in Resources-Based Cities in China by Hewang Liu, Xiuyu Li, Shilin Zheng

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Does water rights trading cause economic losses from agricultural water scarcity? Evidence from 264 Chinese cities by Jiajia Liu, Muhammad Umer, Jun Zhao, Qiang Li, Mei Qu

“…Using panel data from 264 Chinese cities from 2010 to 2020, we estimate the Agricultural Water Scarcity Risk (AWSR), which quantifies the economic loss caused by agricultural water scarcity, and analyze the impact of WRT on AWSR using the Spatial Difference-in-Differences method. Our findings reveal that: (1) WRT significantly alleviate the economic production loss due to agricultural water scarcity, with the results remaining robust after various tests; (2) WRT mitigates AWSR not only locally but also in neighboring cities; and (3) the policy’s effectiveness varies by region, being most effective in the Eastern region, followed by the Central region, and least in the Western region. …”
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How the climate resilient cities construction accelerates urban green transformation: impact effects and mechanism tests by Chen Gao, Cuiping Zhang, Ya Wen, Chunhui Wang

“…Heterogeneity analysis shows that the positive effect of CRCC on green transformation is more pronounced in cities located on the southeast side of the Hu Line, and cities within the Yangtze River Economic Belt. …”
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How Agricultural Innovation Talents Influence County-Level Industrial Structure Upgrading: A Knowledge-Empowerment Perspective by Lizhan Lv, Feng Dai

“…Spatial spillover effects are also evident, indicating regional knowledge diffusion. …”
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Off-Center Rotational Dynamics in Virtual Reality: Effects on Cybersickness and Presence by Sion Cha, Jonghyeon Ka, Imbo Kong, Junseok Ma, Sangyeon Park, Wooksung Kim

“…This study investigates the effects of off-center rotational acceleration and rotational radius on cybersickness and spatial presence in virtual reality (VR) environments through a set of constrained rotational scenarios. …”
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