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| 1 | Marginal revenue of land and total factor productivity in Chinese agriculture: Evidence from spatial analysis显示文摘这份报纸试图探索土地,全部的因素生产率(TFP ) 变化和它的三个部件的边缘的收入的时间、空间的性质:技术变化(TC ) ,技术效率变化(侦探) 和规模效率变化(秒) 是从 1995 ~ 1999 在中国农业生产看。基于县级的数据,学习利用了随机的边疆和印射的分析方法。在最获得发生在东方沿海的地区的地方,结果证明在土地的边缘的收入的生长越过各种各样的区域是多样的,当损失在西北和诺思中国时。中国与可观的地区性的变化在年度 TFP 变化(0.26%) 经历了中等减少。明确地,在谷物生产的行政干预和农业技术散开系统的恶化在年度 TFP 变化导致了中等落下。县级的印射分析在 TFP 和它的部件考虑了 interregional 变化。关于 TFP 的部件,侦探差别在 TFP 解释地区性的分散的多数。作为在中国的发达区域, Huang-Huai-Hai 区域和 Beijing-Tianjin-Tangshan 经济地区在都市化的过程中面对陆地变换和谷物安全的挑战。 | HOU Linke ZHANG Yanjie ZHAN Jinyan Thomas GLAUBEN | 2012 | Journal of Geographical Sciences2012，22，1： | 12 |
| 2 | Economic growth and nutrition transition: an empirical analysis comparing demand elasticities for foods in China and Russia显示文摘This study provides empirical evidence on the link between economic growth and nutrition transition in two emerging economies, China and Russia. Both countries have experienced rising average incomes, accompanied by an increasing rate of nutrition-related chronic diseases in recent years. Given the regional heterogeneity between these two countries, we analyze the extent to which income growth as a major driver of nutrition transition has a significant effect on the consumption of different food aggregates and how these effects differ between Chinese and Russian consumers. Our results indicate that with increasing household incomes over time the demand for carbohydrates decreases, while the demand for meat and dairy products, as well as fruits increases. This is a development generally known as nutrition transition. Further, we estimate a Quadratic Almost Ideal Demand System(QUAIDS) for nine different food aggregates for China and Russia. Our results indicate that in both countries all food aggregates have positive expenditure elasticities and are thus normal goods. Moreover, our results indicate that in 2008/2009 meat is still a luxury good in China yet a necessity good in Russia. For 2009, the highest own-price elasticities in China are found for non-meat protein sources and dairy products. Within the meat group, beef, poultry and mutton have the highest price elasticities in China. In Russia, the milk and dairy group, together with the vegetable group, is the most price-elastic food group in 2008. In line with the definition of a nutrition transition, our overall results underscore the finding that income growth in China and Russia tends to increase the demand for animal-based products much stronger than, for example, the demand for carbohydrates. Despite being a positive signal for problems of malnutrition in rural China, this trend of increasing meat consumption might further increase the incidence of chronic diseases in urban areas since there is convincing scientific evidence that increasing meat consumption, especially red and processed meat, is associated with an increased risk of chronic diseases. | Christine Burggraf Lena Kuhn ZHAO Qi-ran Ramona Teuber Thomas Glauben | 2015 | Journal of Integrative Agriculture2015，14，6： | 6 |
| 3 | Wheat exportrestrictions and domestic market effects in Russia and Ukraineduring the food crisis显示文摘 | Linde Gotz Thomas Glauben Bernhard Brummer | 2013 | Food Policy2013，，38： | 1 |
| 4 | Factors Affecting Chinese Farmers' Decisions to Adopt a Water-Sating Technology显示文摘 | Thomas Herzfeld Thomas Glauben Zhang Yunhua Hu Bingchuan | 2008 | Canadian Journal of Agricultural Economics2008，56，： | 1 |
| 5 | Labor allocation in transition: Evidence from Chinese rural households显示文摘 | Xiaobing Wang Thomas Herzfeld Thomas Glauben | 2007 | China Economic Review2007，，18： | 1 |
| 6 | Wheat exportrestrictions and domestic market effects in Russia and Ukraineduring the food crisis显示文摘 | Linde Gotz Thomas Glauben Bernhard Brummer | 2013 | Food Policy2013，，38： | 1 |
| 7 | The impact of Internet access on household dietary quality:Evidence from rural China显示文摘Over the past few decades,the Internet has rapidly diffused across China.The spread of the Internet has had a profound economic and social impact on Chinese rural areas.Existing research shows that Internet access significantly impacts agricultural production and improves smallholder farmers’income.Beyond these,the Internet can affect other dimensions of social welfare.However,research about the impact of Internet access on dietary quality in rural China remains scarce.This study utilizes multi-period panel data from Fixed Observation Point in rural China from 2009 to 2015 to estimate the impact of Internet access on dietary quality and food consumption of rural households and conducts a causal analysis.Regression models with time and household fixed effects allow robust estimation while reducing potential issues of unobserved heterogeneity.The estimates show that Internet access has significantly increased rural household dietary quality(measured by the Chinese Diet Balance Index).Further research finds that Internet access has increased the consumption of animal products,such as aquatic and dairy products.We also examine the underlying mechanisms.Internet access improves dietary quality and food consumption mainly through increasing household income and food expenditure.These results encourage the promotion of Internet access as a valuable tool for nutritional improvements,especially in rural areas. | Yi Cui Qiran Zhao Thomas Glauben Wei Si | 2024 | Journal of Integrative Agriculture2024，23，2： | 1 |
| 8 | The impact of demographic dynamics on food consumption and its environmental outcomes:Evidence from China显示文摘With increasing population and changing demographics,food consumption has experienced a significant transition in quantity and quality.However,a dearth of knowledge remains regarding its environmental impacts and how it responds to demographic dynamics,particularly in emerging economies like China.Using the two-stage Quadratic Almost Demand System(QUAIDS)model,this study empirically examines the impact of demographic dynamics on food consumption and its environmental outcomes based on the provincial data from 2000 to 2020 in China.Under various scenarios,according to changes in demographics,we extend our analysis to project the long-term trend of food consumption and its environmental impacts,including greenhouse gas(GHG)emissions,water footprint(WF),and land appropriation(LA).The results reveal that an increase in the proportion of senior people significantly decreases the consumption of grain and livestock meat and increases the consumption of poultry,egg,and aquatic products,particularly for urban residents.Moreover,an increase in the proportion of males in the population leads to higher consumption of poultry and aquatic products.Correspondingly,in the current scenario of an increased aging population and sex ratio,it is anticipated that GHG emissions,WF,and LA are likely to decrease by 1.37,2.52,and 3.56%,respectively.More importantly,in the scenario adhering to the standards of nutritional intake according to the Dietary Guidelines for Chinese Residents in 2022,GHG emissions,WF,and LA in urban areas would increase by 12.78,20.94,and 18.32%,respectively.Our findings suggest that changing demographics should be considered when designing policies to mitigate the diet-environment-health trilemma and achieve sustainable food consumption. | Shaoting Li Xuan Chen Yanjun Ren Thomas Glauben | 2024 | Journal of Integrative Agriculture2024，23，2： | 1 |
| 9 | Agriculture on the move: Exploring regional differences in farm exit rates in Western Germany显示文摘 | Thomas Glauben Hendrik Tietje Christoph Weiss | 2006 | Jahrbuch für Regionalwissenschaft2006，，： | 1 |
| 10 | Labor allocation in transition: Evidence from Chinese rural households显示文摘 | Xiaobing WANG Thomas HERZFELD Thomas GLAUBEN | 2007 | China Economic Review2007，，3： | 1 |
| 11 | Spatiotemporal characteristics of cultivated land use eco-efficiency and its influencing factors in China from 2000 to 2020显示文摘Improving cultivated land use eco-efficiency(CLUE)can effectively promote agricultural sustainability,particularly in developing countries where CLUE is generally low.This study used provincial-level data from China to evaluate the spatiotemporal evolution of CLUE from 2000 to 2020 and identified the influencing factors of CLUE by using a panel Tobit model.In addition,given the undesirable outputs of agricultural production,we incorporated carbon emissions and nonpoint source pollution into the global benchmark-undesirable output-super efficiency-slacks-based measure(GB-US-SBM)model,which combines global benchmark technology,undesirable output,super efficiency,and slacks-based measure.The results indicated that there was an upward trend in CLUE in China from 2000 to 2020,with an increase rate of 2.62%.The temporal evolution of CLUE in China could be classified into three distinct stages:a period of fluctuating decrease(2000-2007),a phase of gradual increase(2008-2014),and a period of rapid growth(2015-2020).The major grain-producing areas(MPAs)had a lower CLUE than their counterparts,namely,non-major grain-production areas(non-MPAs).The spatial agglomeration effect followed a northeast-southwest strip distribution;and the movement path of barycentre revealed a'P'shape,with Luoyang City,Henan Province,as the centre.In terms of influencing factors of CLUE,investment in science and technology played the most vital role in improving CLUE,while irrigation index had the most negative effect.It should be noted that these two influencing factors had different impacts on MPAs and non-MPAs.Therefore,relevant departments should formulate policies to enhance the level of science and technology,improve irrigation condition,and promote sustainable utilization of cultivated land. | LI Shaoting MU Na REN Yanjun Thomas GLAUBEN | 2024 | Journal of Arid Land2024，16，3： | 0 |
| 12 | Improving risk reduction potential of weather index insurance by spatially downscaling gridded climate data-a machine learning approach显示文摘Open-access gridded climate products have been suggested as a potential source of data for index insurance design and operation in data-limited regions.However,index insurance requires climate data with long historical records,global geographical coverage and fine spatial resolution at the same time,which is nearly impossible to satisfy,especially with open-access data.In this paper,we spatially downscaled gridded climate data(precipitation,temperature,and soil moisture)in coarse spatial resolution with globally available longterm historical records to finer spatial resolution,using satellite-based data and machine learning algorithms.We then investigated the effect of index insurance contracts based on downscaled climate data for hedging spring wheat yield.This study employed countylevel spring wheat yield data between 1982 and 2018 from 56 counties overall in Kazakhstan and Mongolia.The results showed that in the majority of cases(70%),hedging effectiveness of index insurances increases when climate data is spatially downscaled with a machine learning approach.These improvements are statistically significant(p≤0.05).Among other climate data,more improvements in hedging effectiveness were observed when the insurance design was based on downscaled temperature and precipitation data.Overall,this study highlights the reasonability and benefits of downscaling climate data for insurance design and operation. | Sarvarbek Eltazarov Ihtiyor Bobojonov Lena Kuhn Thomas Glauben | 2023 | Big Earth Data2023，7，4： | 0 |
| 13 | The Impact of COVID-19 on the Dietary Diversity of Children and Adolescents:Evidence from a Rural/Urban Panel Study显示文摘This paper offers the first empirical evidence of the impact of COVID-19 on dietary diversity among children and adolescents in urban and rural families by using panel data collected in 2019(before COVID-19)and 2020(during COVID-19)in northern China.Our study uses panel data from 2,201 primary school students and 1,341 junior high-school students to apply the difference in differences(DID)method to estimate the impact of COVID-19 on dietary diversity among students in urban and rural families.We found that the dietary diversity score(DDS)of rural students decreased by 0.295 points(p<0.01)compared with that of urban students during COVID-19.Specifically,COVID-19 significantly reduced the frequency of rural students'consumption of vegetables by 1.8 percent,protein-rich foods such as soybean products and nuts by 6.0 percent,meats by 4.0 percent,aquatic products by 6.7 percent,and eggs by 5.3 percent,compared with urban students.Further,COVID-19 had a significant negative effect on the dietary diversity of students from low-and middle-income groups,with the DDS of the low-income group decreasing by 0.31 points(p<0.01)and that of the middle-income group by 0.12 points(p<0.1). | Yi Cui Wei Si Qiran Zhao Thomas Glauben Xiaolong Feng | 2021 | China & World Economy2021，29，6： | 0 |
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