Passar para o conteúdo principal

page search

Community Organizations MDPI Online, Open Access Journals
MDPI Online, Open Access Journals
MDPI Online, Open Access Journals
Acronym
MDPI
Publishing Company
Phone number
+41 61 683 77 34

Location

St. Alban-Anlage 66
Basel
Basel-Stadt
Switzerland
Working languages
inglês

MDPI AG, a publisher of open-access scientific journals, was spun off from the Molecular Diversity Preservation International organization. It was formally registered by Shu-Kun Lin and Dietrich Rordorf in May 2010 in Basel, Switzerland, and maintains editorial offices in China, Spain and Serbia. MDPI relies primarily on article processing charges to cover the costs of editorial quality control and production of articles. Over 280 universities and institutes have joined the MDPI Institutional Open Access Program; authors from these organizations pay reduced article processing charges. MDPI is a member of the Committee on Publication Ethics, the International Association of Scientific, Technical, and Medical Publishers, and the Open Access Scholarly Publishers Association (OASPA).

Members:

Resources

Displaying 561 - 565 of 1524

Collective Action for the Market-Based Reform of Land Element in China: The Role of Trust

Peer-reviewed publication
Dezembro, 2021
China

The market entry of collectively-owned operating construction land (COCL) is an important policy of the Chinese government to promote the flow of rural land elements in the market. Describ-ing, characterizing, and understanding collective action for COCL marketization in China is conducive to identifying potential contradictions in a timely manner, constructing common goals, and promoting stakeholder cooperation to improve the efficiency of land marketization.

Consultation and Displacement in Large-Scale Agriculture Investment: Evidence from Oromia Region’s Shashamane Rural District

Peer-reviewed publication
Dezembro, 2021
Global

The Shashamane rural district was selected as a target area and corridor of large-scale agriculture investment (LSAI) to produce surplus agricultural products and ensure local development by the state and private (domestic and foreign) investors. Shalo–Melega private LSAI projects started operation in 2008 in the Shashamane rural district. This farm project comprises a crop production site, construction of a road, a crop storage facility, and developing irrigation in a total of about 24,710.51 acres of land along the central Rift Valley basin, for long-term leases.

Land-Development-Right Pricing Based on Spatial Characteristics in Urban Local Function Regeneration

Peer-reviewed publication
Dezembro, 2021
China

The transfer of urban development goals from two-dimensional land to three-dimensional space leads to the dilemmas of the functional adjustment of partial space in the building, such as an unclear property right system, vague land financial expropriation method, uncertain economic value, etc. This study aims to understand land-development-right pricing based on spatial characteristics in spatial function regeneration. Especially, we deal with the following questions: (1) How do we identify the spatial development rights and their pricing?

Too Much, Too Soon? The Changes in Greece’s Land Administration Organizations during the Economic Crisis Period 2009 to 2018

Peer-reviewed publication
Dezembro, 2021
Global

Land administration is the managing of spatial and legal data pertaining to land. Land administration organizations provide services for land ownership and are essential to a well-functioning land administration system to secure land and property rights for all and support real estate markets. This article reviews the case of the Hellenic Land Administration Reform and the associated changes in the land administration organizations during the economic crisis period (2009–2018).

Comparison of Random Forest and Kriging Models for Soil Organic Carbon Mapping in the Himalayan Region of Kashmir

Peer-reviewed publication
Dezembro, 2021
India

The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in sustainable land-use management and ecosystem functioning. No such study has been attempted in the complex topography and land use of Himalayas, which is associated with great spatial heterogeneity and uncertainties. Therefore, in this study digital soil mapping (DSM) was used to predict and evaluate the spatial distribution of SOCS using advanced geostatistical methods and a machine learning algorithm in the Himalayan region of Jammu and Kashmir, India.