<?xml version="1.0" encoding="UTF-8"?><resource xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.3/metadata.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="DOI">10.1594/PANGAEA.807701</identifier><creators><creator><creatorName>Chen, Yongfu</creatorName><givenName>Yongfu</givenName><familyName>Chen</familyName></creator><creator><creatorName>Wu, Zhigang</creatorName><givenName>Zhigang</givenName><familyName>Wu</familyName></creator><creator><creatorName>Okamoto, Katsuo</creatorName><givenName>Katsuo</givenName><familyName>Okamoto</familyName></creator><creator><creatorName>Han, Xinru</creatorName><givenName>Xinru</givenName><familyName>Han</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-1673-7803</nameIdentifier></creator><creator><creatorName>Ma, Guoying</creatorName><givenName>Guoying</givenName><familyName>Ma</familyName></creator><creator><creatorName>Chien, Hsiaoping</creatorName><givenName>Hsiaoping</givenName><familyName>Chien</familyName></creator><creator><creatorName>Zhao, Jing</creatorName><givenName>Jing</givenName><familyName>Zhao</familyName></creator></creators><titles><title>Model results of the impact of climate change on agriculture in China</title></titles><publisher>PANGAEA</publisher><publicationYear>2013</publicationYear><subjects><subject subjectScheme="Parameter">Identification</subject><subject subjectScheme="Parameter">Number of years</subject><subject subjectScheme="Parameter">Population density</subject><subject subjectScheme="Parameter">Distance</subject><subject subjectScheme="Parameter">Soil type</subject><subject subjectScheme="Parameter">Code</subject><subject subjectScheme="Parameter">Temperature, spring</subject><subject subjectScheme="Parameter">Temperature, summer</subject><subject subjectScheme="Parameter">Temperature, autumn</subject><subject subjectScheme="Parameter">Temperature, winter</subject><subject subjectScheme="Parameter">Precipitation, spring</subject><subject subjectScheme="Parameter">Precipitation, summer</subject><subject subjectScheme="Parameter">Precipitation, autumn</subject><subject subjectScheme="Parameter">Precipitation, winter</subject><subject subjectScheme="Parameter">Index</subject><subject subjectScheme="Parameter">Ratio</subject><subject subjectScheme="Parameter">Exchange rate</subject><subject subjectScheme="Parameter">Net crop revenue per unit area</subject><subject subjectScheme="Parameter">Latitude, median</subject></subjects><resourceType resourceTypeGeneral="Dataset">Supplementary Dataset</resourceType><relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.1016/j.gloplacha.2013.01.005</relatedIdentifier></relatedIdentifiers><sizes><size>401370 data points</size></sizes><formats><format>text/tab-separated-values</format></formats><rightsList><rights rightsURI="https://creativecommons.org/licenses/by/3.0/" schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-3.0">Creative Commons Attribution 3.0 Unported</rights></rightsList><descriptions><description descriptionType="Abstract">This paper assesses the impact of climate change on China's agricultural production at a cross-provincial level using the Ricardian approach, incorporating a multilevel model with farm-level group data. The farm-level group data includes 13379 farm households, across 316 villages, distributed in 31 provinces. The empirical results show that, firstly, the marginal effects and elasticities of net crop revenue per hectare with respect to climate factors indicated that the annual impact of temperature on net crop revenue per hectare was positive, and the effect of increased precipitation was negative when looking at the national totals; secondly, the total impact of simulated climate change scenarios on net crop revenues per hectare at a Chinese national total level, was an increase of between 79 USD per hectare and 207 USD per hectare for the 2050s, and an increase from 140 USD per hectare to 355 USD per hectare for the 2080s. As a result, climate change may create a potential advantage for the development of Chinese agriculture, rather than a risk, especially for agriculture in the provinces of the Northeast, Northwest and North regions. However, the increased precipitation can lead to a loss of net crop revenue per hectare, especially for the provinces of the Southwest, Northwest, North and Northeast regions.</description><description descriptionType="TechnicalInfo">The farm-level group data includes 13379 farm households, across 316 villages, distributed in 31 provinces in China.</description><description descriptionType="Other">Supplement to: Chen, Yongfu; Wu, Zhigang; Okamoto, Katsuo; Han, Xinru; Ma, Guoying; Chien, Hsiaoping; Zhao, Jing (2013): The impacts of climate change on crops in China: A Ricardian analysis. Global and Planetary Change, 104, 61-74</description></descriptions></resource>