Chen Y.,China Agricultural University |
Wu Z.,Research Center for Rural economics |
Okamoto K.,Japan National Institute for Agro - Environmental Sciences |
Han X.,China Agricultural University |
And 3 more authors.
Global and Planetary Change | Year: 2013
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 13,379 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. © 2013 Elsevier B.V.
Chen Y.-F.,China Agricultural University |
Wu Z.-G.,Research Center for Rural economics |
Zhu T.-H.,Tianjin University |
Yang L.,China Agricultural University |
And 2 more authors.
Journal of Integrative Agriculture | Year: 2013
This paper estimates a stochastic frontier function using a panel data set that includes 4 961 farmer households for the period of 2005-2009 to decompose the growth of grain production and the total factor productivity (TFP) growth at the farmer level. The empirical results show that the major contributor to the grain output growth for farmers is input growth and that its average contribution accounts for 60.92% of farmer's grain production growth in the period of 2006-2009, whereas the average contributions sourced from TFP growth and residuals are only 17.30 and 21.78%, respectively. The growth of intermediate inputs is a top contributor with an average contribution of 44.46%, followed by the planted area (18.16%), investment in fixed assets (1.05%), and labor input (-l2.75%), indicating that the contribution from the farmer's input growth is mainly due to the growth of intermediate inputs and that the decline in labor inputs has become an obstacle for farmers in seeking grain output growth. Among the elements consisting of TFP growth, the contribution of technical progress is the largest (32.04%), followed by grain subsidies (8.55%), the average monthly temperature (4.26%), the average monthly precipitation (-0.88%), the adjusted scale effect (-5.66%), and growth in technical efficiency (-21.01%). In general, the contribution of climate factors and agricultural policy factor are positive and significant. © 2013 Chinese Academy of Agricultural Sciences.
PubMed | Japan National Institute for Agro - Environmental Sciences, Japan International Research Center for Agricultural science, Chinese Academy of Agricultural Sciences, Research Center for Rural economics and China Agricultural University
Type: | Journal: The Science of the total environment | Year: 2017
The climate change impacts on maize yields are quantified in this paper using statistical models with panel data from 3731 farmers observations across nine sample villages in Hebei Province of China. The marginal impacts of climate change and the simulated impacts on maize yields based on scenarios of Representative Concentration Pathways 2.6, 4.5, 6.0, and 8.5 from the global climate models of Model for Interdisciplinary Research on Climate version 5 (MIROC5) and Meteorological Research Institute Coupled General Circulation Model version 3 (MRI-CGCM3) were then calculated, analyzed, and explained. The results indicate that, first, the most important finding was that climate change impacts on maize yields were significant and a 1C warming or a 1mm decrease in precipitation resulted in a 150.255kg or a 1.941kg loss in maize yields per hectare, respectively. Second, villages with latitudes of less than 39.832 and longitudes of more than 114.839 in Hebei province suffered losses due to warm weather. Third, the simulated impacts for the full sample are all negative based on scenarios from MIROC5, and their magnitudes are more than those of MRI-CGCM3 are. Based on scenarios in the 2050s, the biggest loss for maize yields per hectare for the full sample accounts for about one-tenth of the mean maize yield from 2004 to 2010, and all of the villages are impacted. Hence, it is important to help farms adopt an adaptation strategy to tackle the risk of loss for maize yields from climate change, and it is necessary to develop agricultural synthesis services as a public adaptation policy at the village level to interact with the adaptation strategy at the farm level.
Xu P.,California State University, Fresno |
Zeng Y.,Renmin University of China |
Fong Q.,University of Alaska Fairbanks |
Lone T.,California State University, Fresno |
Liu Y.,Research Center for Rural economics
Food Control | Year: 2012
As the world's largest seafood consumer and exporter, China is challenged by frequent seafood contamination incidents. To restore consumer confidence in seafood safety, China's Ministry of Agriculture (MOA) mandated a nation wide quality standard that awards a green label to qualified safer seafood. MOA is also planning for an environmental friendly label to address consumers' concerns about wild sea species sustainability. This study developed a three-stage purchase framework model and applied a multivariate Probit regression to analyze questionnaire information collected from 14 supermarkets in Beijing, China. The results show that Chinese consumers consider the seafood label a more important information source than previous consumption experience. They are willing to pay more for green-labeled seafood for the protection of individual benefits. Moreover, consumers are willing to pay more for the eco-labeled seafood for the protection of societal benefits. Gender, shopping venues, education, seafood expenditure and knowledge of the labeled products affected purchase intention and willingness to pay. Price was not a statistically significant factor affecting purchase decisions. © 2012 Elsevier Ltd.
He A.-H.,Research Center for Rural economics |
Liu T.-S.,Renmin University of China |
Kong X.-Z.,Renmin University of China
Zhongguo Renkou Ziyuan Yu Huan Jing/ China Population Resources and Environment | Year: 2014
In recent years, the heterogeneity of Chinese farmer increasingly strengthens with the acceleration of land circulation and the emergence of farmer professional cooperatives. This paper takes the behavior of farmers in renting land or joining cooperative as the main manifestation of their heterogeneity, and investigates their influence on farmers'participation in agricultural technology training. This paper selects Zero-Inflated Negative Binomial( ZINB) and tests the model's robustness, according to the nature of the survey data from 1 039 peasant households in Shandong, Shanxi and Ningxia provinces. The result indicates that the land tenancy behavior of farmers doesn't effect their participation behavior of agricultural technology training, but the possibility of participation agricultural will dramatically increase if a household joins in a farmers professional cooperative or only engages in agriculture management. In practical terms, the expected frequency of the farmers who rent land to participate in agricultural technology training is 1. 044 0 times of the others, while the farmers who join cooperative is 2. 112 9 times of the others. The current too run-of-mill agricultural technology training is an important reason of limiting farmers' demand for it. So the government should take the heterogeneity of farmers into account, organize agricultural technology training in differentiated positioning and give more subsidies to the cooperatives which carry out the agricultural technical training..
Zhan J.-T.,Nanjing Agricultural University |
Wu Y.-R.,University of Western Australia |
Zhang X.-H.,Research Center for Rural economics |
Zhou Z.-Y.,James Cook University
China Agricultural Economic Review | Year: 2012
Purpose - The number of farms engaged in grain production in China has been declining in recent years. Limited efforts have been devoted to examine why producers quit from grain production and how such exits affect China's grain output. Such information, however, is invaluable in understanding whether the exit from grain production should be encouraged and if so, how. The purpose of this paper is to identify the factors that influence farmers' decision to quit from grain production, with a view to drawing implications for devising policies to deal with such exits. Design/methodology/approach - Both descriptive statistics and econometric techniques are used to analyse a set of unique and comprehensive farm-level survey data to identify key factors that affect farmers' decision to quit from grain production. Findings - Key factors that influence a farm to quit from, or stay in, grain production include: family size, the share of farming labour out of total family labour, per capita arable land, the proportion of land used for grain production, the share of family income from grains. It was also found that the level of grain prices and the sunk cost in farming, chiefly in grain production, also affect the likelihood that a household will stay or exit from grain production. Further, farmers in more economically developed regions are more likely to quit from grain production. Originality/value - The paper's findings clearly indicate that farms with a larger scale of grain production and earning higher income from grain are the major contributors to China's grain production. Potential exists for China to raise its total grain output if the land from those exiting farmers is readily made available to larger producers, enabling them to further benefit from the economies of scale. © Emerald Group Publishing Limited.
Yang J.,Huazhong University of Science and Technology |
Wang H.,Michigan State University |
Jin S.,Michigan State University |
Jin S.,Central University of Finance and Economics |
And 3 more authors.
Journal of Productivity Analysis | Year: 2015
This paper studies the effect of local off-farm employment and migration on the technical efficiency of rural households’ crop production using a five-year panel dataset from more than 2000 households in five Chinese provinces. While there is not much debate about the positive contribution of migration and local off-farm employment to China’s economy, there is increasing concern about the potential negative effects of moving labor away from agriculture on China’s future food security. This is a critical issue as maintaining self-sufficiency in grain production will be critical for China to feed its huge population in the future. Several papers have studied the impact of migration on production and have yielded ambiguous results. But the impact of migration on technical efficiency is rarely studied. Methodologically, we incorporate the correlated random-effects approach into the inefficiency analysis of the standard stochastic production frontier model to control for unobservable factors that are correlated with migration and off-farm employment decisions and technical efficiency. The most consistent result that emerged from our econometric analysis is that neither migration nor local off-farm employment has a negative effect on the technical efficiency of grain production, which does not support the widespread notion that vast-scale labor migration could negatively affect China’s future food security. © 2015 Springer Science+Business Media New York
Zhang C.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research |
Zhang C.,Research Center for Rural economics |
Zhang B.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research |
Li W.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research |
Liu M.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research
Hydrological Processes | Year: 2014
In recent years, the Xitiaoxi river basin in China has experienced intensified human activity, including city expansion and increased water demand. Climate change also has influenced streamflow. Assessing the impact of climate variability and human activity on hydrological processes is important for water resources planning and management and for the sustainable development of eco-environmental systems. The non-parametric Mann-Kendall test was employed to detect the trends of climatic and hydrological variables. The Mann-Kendall-Sneyers test and the moving t-test were used to locate any abrupt change of annual streamflow. A runoff model, driven by precipitation and potential evapotranspiration, was employed to assess the impact of climate change on streamflow. A significant downward trend was detected for annual streamflow from 1975 to 2009, and an abrupt change occurred in 1999, which was consistent with the change detected by the double mass curve test between streamflow and precipitation. The annual precipitation decreased slightly, but upward trends of annual mean temperature and potential evapotranspiration were significant. The annual streamflow during the period 1999-2009 decreased by 26.19% compared with the reference stage, 1975-1998. Climate change was estimated to be responsible for 42.8% of the total reduction in annual streamflow, and human activity accounted for 57.2%. © 2012 John Wiley & Sons, Ltd.
Jin S.,Research Center for Rural economics |
Jin S.,Wageningen University |
Bluemling B.,Wageningen University |
Bluemling B.,Leibniz Institute of Agricultural Development in Central and Eastern Europe |
Mol A.P.J.,Wageningen University
NJAS - Wageningen Journal of Life Sciences | Year: 2015
Abstract In the absence of adequate extension services, retailers have become the major information source for farmers' pesticide use in rural China. Pesticide application for smallholders is rather complex, and mistakes can lead to significant crop losses. Farmers, therefore, seek sources of information regarding pesticide use. This paper first explores how different kinds of retailers may employ different strategies of providing information to farmers. We find that for village, town, and county retailers, the more familiar they are with farmers, the more likely they are to amplify the recommended dosage of pesticide use. In cooperatives, who buy pesticides from an extension station, the information is directly transferred to member farmers without information distortion. Apart from examining retailers' different strategies of information provision, this paper also asks in how far farmers' trust in retailers may affect pesticide use. It finds that trust in different kinds of retailers indeed varies and plays a critical role in converting information into farming behavior. Members of the cooperative show rather high levels of trust in their retailer, while farmers who are not members of a cooperative show low levels of trust in retailers. Pesticide use is a joint result of retailers' information provision strategies and farmers' trust. The lowest pesticide use occurs when accurate information is provided and when farmers highly trust the information provider. Overuse occurs with either information distortion or low levels of trust. Cooperatives have advantages both in terms of information provision and trust, thereby leading to the lowest use of pesticides. © 2014 Royal Netherlands Society for Agricultural Sciences.
Qin L.,Anhui University of Finance and Economics |
Pan S.,Texas Tech University |
Wang C.,Texas Tech University |
Jiang Z.,Research Center for Rural Economics
China Agricultural Economic Review | Year: 2012
Purpose - The purpose of this paper is to examine the adverse selection in participation in the New Rural Cooperative Medical Scheme (NRCMS), as well as in outpatient and inpatient service utilization, in Chaoyang, Beijing, China. Design/methodology/approach - Probit model is established to test whether the rural Hukou family member in Combined Household (CH) is statistically different from the Pure Rural Household (PRH) in enrollment in NRCMS. Seemingly Unrelated Regression (SUR) model is adopted to examine the difference in the utilization of outpatient and inpatient between the rural Hukou family members in the two kinds of households. Findings - This paper finds that the rural Hukou family member in CH has more probability to enroll in NRCMS than the counterpart in PRH. In the period of six months, the rural Hukou family member in CH exceeds PRH by 0.73 times in outpatient visit number per capita. The former average spends yuan 157 more in outpatient service and is reimbursed yuan 53 more from NRCMS than the latter. Moreover, on average, rural Hukou family member has no difference in the inpatient service utilization between the two kinds of households in the period of 12 months. Originality/value - This is the first study to empirically test the adverse selection in China's medical insurance market from the perspective of two different types of households, which are CH and PRH. © Emerald Group Publishing Limited.