Hasil untuk "Geography"

Ajay Agrawal, Christian Catalini, Avi Goldfarb

type="main"> We examine a crowdfunding platform that connects artists with funders. Although the Internet reduces many distance-related frictions, local and distant funders exhibit different funding patterns. Local funders appear less responsive to information about the cumulative funds raised by an artist. However, this distance effect appears to proxy for a social effect: it is largely explained by funders who likely have an offline social relationship with the artist (“friends and family”). Yet, this social effect does not persist past the first investment, suggesting that it may be driven by an activity like search but not monitoring. Thus, although the platform seems to diminish many distance-sensitive costs, it does not eliminate all of them. These findings provide a deeper understanding of the abilities and limitations of online markets to facilitate transactions and convey information between buyers and sellers with varying degrees of social connectedness.

J. Novembre, T. Johnson, K. Bryc et al.

P. Krugman

S. Marston, J. Jones, Keith Woodward

蔡文川

G. Valentine

A. Zhu, Guonian Lü, Jing Liu et al.

ABSTRACT Current methods of spatial prediction are based on either the First Law of Geography or the statistical principle or the combination of these two. The Second Law of Geography contributes to the revision of these methods so they are adaptive to local conditions but at the cost of increasing demand for samples. This paper presents a new thinking about spatial prediction based on the Third Law of Geography which focuses on the similarity of geographic configuration of locations. Under the Third Law of Geography, spatial prediction can be made on the basis of the similarity of geographic configurations between a sample and a prediction point. This allows the representativeness of a single sample to be used in prediction. A case study in predicting spatial variation of soil organic matter content was used to compare the spatial prediction based the Third Law of Geography with those based on the First Law and the statistical principle. It is concluded that spatial prediction based on the Third Law of Geography does not require samples to be over certain size nor to be of a particular spatial distribution to achieve a high quality prediction. The prediction uncertainty associated with spatial prediction based on the Third Law of Geography is more indicative to quality of the prediction, thus more effective in allocating error reduction efforts. These properties make spatial prediction based on the Third Law of Geography more suitable for prediction over large and complex geographic areas.

Paulo Roger Lopes Alves, German Andres Estrada-Bonilla, Antonio Marcos Miranda Silva et al.

This study explored how different sugarcane vinasses influence the structure and composition of soil bacterial communities in two tropical Oxisols with contrasting textures. In a controlled microcosm experiment with sugarcane seedlings, two concentrations of three vinasse types were applied, and bacterial communities were monitored over 10, 30, and 60 days using T-RFLP and 16S rRNA gene sequencing. Across all treatments, vinasse application led to clear changes in bacterial community structure in both soils, regardless of the time point. Certain bacterial groups, such as <i>Sphingobacteriia</i>, <i>Alphaproteobacteria</i>, and <i>Gammaproteobacteria</i>, became more abundant—likely responding to increased carbon availability, higher pH, and greater soil moisture. At the same time, other groups declined, possibly due to excess nutrients like potassium and sulfur. Notably, these shifts occurred even when standard biochemical indicators suggested no major impact, highlighting the sensitivity of microbial community-level responses. These findings point to the importance of looking beyond traditional soil quality metrics when assessing the environmental effects of organic residue applications. Incorporating microbial indicators can offer a more nuanced understanding of how practices like vinasse reuse affect soil functioning in tropical agroecosystems.

Yuguo Jiang, Ziyu Zhao, Xinjie Zhao

This paper employs the super-efficiency slack-based measure (SBM) model with undesirable outputs to measure the green development efficiency of the agricultural product circulation industry (APCI) across 26 provinces of China from 2013 to 2022, and applies the kernel density estimation method to reveal its spatio-temporal evolution characteristics. Furthermore, the Tobit model is utilized to analyze the factors influencing the green development efficiency of the APCI. The research reveals that: (1)The green development efficiency of China's APCI is at a medium level. In 2019, a significant spatial demarcation emerged in the green development efficiency of China's agricultural product circulation industry, with the efficiency highland shifting from North/Northeast China to Southern regions, thereby manifesting a new ''high-south, low-north'' efficiency configuration. (2) Interprovincial disparities initially narrowed and subsequently widened. Furthermore, the six major regions exhibited heterogeneous dynamic characteristics, while the green development efficiency of the APCI demonstrated spatial imbalance across provinces. (3) The openness to international market (OIM) exerts a statistically significant positive effect on the green development efficiency of the APCI. Conversely, industrial structure (IS) and agricultural pollution level (API) demonstrate inhibitory effects on APCI's green development efficiency. This study deepens the understanding of APCI's green development efficiency, constructs a systematic measurement framework, expands research perspectives, and provides tools for governments, industries, and enterprises to evaluate efficiency accurately.

Ruth Wilson Gilmore

This paper analyzes prisons geographies in the United States, under the light of racial capitalism. The Afro-American geographer departs from the thesis that 1 Versiones de esta conferencia se leyeron en la XXIX Conferencia de la Peregrina de la Verdad (Sojourner Truth) para el Departamento de Estudios Africanos de los Claremont Colleges (septiembre, 2014); “Confronting Racial Capitalism: A Conference in Honor of Cedric Robinson” en el Centro de Graduate Center de la Cuny (noviembre, 2014); Instituto Antipode para las Geografías de la Justicia, Cárcel de Mujeres, Johannesburg Center for American Studies and Research en la American University de Beirut (enero, 2016). La autora agradece a los editores de este volumen y a muchos interlocutores por promover la crítica. Una versión anterior de este artículo fue publicada en Futures of Black Radicalism (pp. 226-240) en el año 2017 y editado por G.T. Johnson & A. Lubin de Verso, en la ciudad Londres. 2 Ph.D. de la Universidad de Rutgers en 1998 en geografía económica y teoría social. 3 Directora del Center for Place, Culture and Politics y profesora de geografía en Ciencias de la Tierra y del Medio Ambiente en The City University of New York. Tabula Rasa. Bogotá Colombia, No.28: 57-77, enero-junio 2018 ISSN 1794-2489 Cómo citar este artículo: Gilmore, R.W. (2018). Geografía abolicionista y el problema de la inocencia. Tabula Rasa, (28), 57-77. Doi: https://doi.org/10.25058/20112742.n28.3

D. Seamon, T. Larsen

M. Aalbers

This report discusses the financialization of urban governance and the built environment as an explicit state strategy, focusing on municipal finance and the use of financial products by the local state and (semi-)public sector. A number of lessons can be drawn regarding the temporality and spatiality of financializing ‘the urban’. Firstly, the financial crisis that started in 2007 has not resulted in a definancialization of the city. Secondly, despite a number of common trends, the literature also highlights the diversity of experiences. Yet it would be too easy to conclude that the financialization of the land, housing and real estate is exclusively a Global North phenomenon, as it extends into the Global South. Finally, the literature notes an emerging gentrification-touristification-financialization nexus. The role of the state in all of this is variegated and often ambiguous.

Ryan D. Enos

Michel Waly DIOUF

Cet article examine la réutilisation des coquillages fossiles et décrit en même temps les anomalies ou les déformations observées sur les individus. La démarche adoptée repose en effet sur une combinaison de plusieurs activités allant de la recherche documentaire à l’examen du mobilier coquillier, en passant par les enquêtes ethnographiques, la prospection et les fouilles archéologiques. Nos fouilles effectuées sur le site de Balloum, près du village de Moundé (basSaloum) ont mis au jour des spécimens coquilliers déformés ou réutilisés le plus souvent en des objets de parures ou d’ustensiles. Mots-clés : ,

Lorenzo Pedroni, Daniel Zocchi Doherty, Chiara Dall’Asta et al.

Mycotoxins are known environmental pollutants that may contaminate food and feed chains. Some mycotoxins are regulated in many countries to limit the trading of contaminated and harmful commodities. However, the so-called emerging mycotoxins are poorly understood and need to be investigated further. Fusaric acid is an emerging mycotoxin, noxious to plants and animals, but is known to be less toxic to plants when hydroxylated. The detoxification routes effective in animals have not been elucidated yet. In this context, this study integrated in silico and in vitro techniques to discover potential bioremediation routes to turn fusaric acid to its less toxic metabolites. The toxicodynamics of these forms in humans have also been addressed. An in silico screening process, followed by molecular docking and dynamics studies, identified CYP199A4 from the bacterium Rhodopseudomonas palustris HaA2 as a potential fusaric acid biotransforming enzyme. Its activity was confirmed in vitro. However, the effect of hydroxylation seemed to have a limited impact on the modelled toxicodynamics against human targets. This study represents a starting point to develop a hybrid in silico/in vitro pipeline to find bioremediation agents for other food, feed and environmental contaminants.

Changui Lee, Seojeong Lee

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of the MASS Code by the International Maritime Organization (IMO), which regulates Maritime Autonomous Surface Ships (MASS), ensuring the safety of AI-integrated systems on these vessels has become critical. To achieve safe navigation, it is essential to identify potential risks during the system planning stage and design systems that can effectively address these risks. This paper proposes RA4MAIS (Risk Assessment for Maritime Artificial Intelligence Safety), a risk identification method specifically useful for developing AI-integrated maritime systems. RA4MAIS employs a systematic approach to uncover potential risks by considering internal system failures, human interactions, environmental conditions, AI-specific characteristics, and data quality issues. The method provides structured guidance to identify unknown risk situations and supports the development of safety requirements that guide system design and implementation. A case study on an Electronic Chart Display and Information System (ECDIS) with an AI-integrated collision avoidance function demonstrates the applicability of RA4MAIS, highlighting its effectiveness in identifying specific risks related to AI performance and reliability. The proposed method offers a foundational step towards enhancing the safety of software systems, contributing to the safe operation of autonomous ships.

K. Desmet, D. Nagy, E. Rossi-Hansberg

We develop a dynamic spatial growth theory with realistic geography. We characterize the model and its balanced-growth path and propose a methodology to analyze equilibria with different levels of migration frictions. Different migration scenarios change local market size, innovation incentives, and the evolution of technology. We bring the model to the data for the whole world economy at a 1° × 1° geographic resolution. We then use the model to quantify the gains from relaxing migration restrictions. Our results indicate that fully liberalizing migration would increase welfare about threefold and would significantly affect the evolution of particular regions of the world.

Peter Hopkins

Intersectionality is an approach to research that focuses upon mutually constitutive forms of social oppression rather than on single axes of difference. Intersectionality is not only about multiple identities but is about relationality, social context, power relations, complexity, social justice and inequalities. This report reflects upon the use of intersectionality in social geography and emphasizes the complex histories of intersectionality that are often overlooked in geography. I argue for a greater embrace of the contribution of black feminists and some of the earliest work in geography taking an intersectional perspective. I also argue for intersectionality to be used ethically and with care in geography, rather than it being deployed in a way that unwittingly reproduces a white, colonialist, racist and masculinist discipline. I explore possible avenues for future research about intersectionality in social geographies including a focus upon residential segregation, transnational migration and embodiment.

M. Aalbers

Geographers have started studying residential (housing) and commercial real estate (offices, retail, leisure) at the intersection of financial and urban geographies to understand how the built environment – chunky and spatially fixed – has been turned into a (quasi-)financial asset – ‘unitized’ and liquid – through a range of regulatory and socio-technical changes and constructions. The financialization of real estate is not limited to the rise in household debt, mortgage securitization and international investment in office markets, but increasingly also affects rental housing: private equity, hedge funds and REITs buy up large portfolios of social and private rented housing, while housing associations use derivatives and other financial instruments. This report surveys the most recent research on finance, real estate and housing.

Alan T. Murray

This paper provides an overview of quantitative geography, and the methods that have come to define it. This is part of a conference marking the 50th anniversary of the Journal of Regional Science. Six broad categories are used to discuss the range of methods found in quantitative geography: geographic information systems; airborne sensing (global positioning system, photogrammetry and remote sensing); statistics and exploratory spatial data analysis; mathematics and optimization; regional analysis; and, computer science and simulation. Particular emphasis is given to the state of the art in each area, with discussion on major unresolved issues and future research directions.