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Jieming Chou
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

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Climate change and agriculture
climate change
Climate change and food

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Journal article
Published: 28 January 2021 in Atmosphere
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Quantitatively assessing the spatial divergence of the sensitivity of crop yield to climate change is of great significance for reducing the climate change risk to food production. We use socio-economic and climatic data from 1981 to 2015 to examine how climate variability led to variation in yield, as simulated by an economy–climate model (C-D-C). The sensitivity of crop yield to the impact of climate change refers to the change in yield caused by changing climatic factors under the condition of constant non-climatic factors. An ‘output elasticity of comprehensive climate factor (CCF)’ approach determines the sensitivity, using the yields per hectare for grain, rice, wheat and maize in China’s main grain-producing areas as a case study. The results show that the CCF has a negative trend at a rate of −0.84/(10a) in the North region, while a positive trend of 0.79/(10a) is observed for the South region. Climate change promotes the ensemble increase in yields, and the contribution of agricultural labor force and total mechanical power to yields are greater, indicating that the yield in major grain-producing areas mainly depends on labor resources and the level of mechanization. However, the sensitivities to climate change of different crop yields to climate change present obvious regional differences: the sensitivity to climate change of the yield per hectare for maize in the North region was stronger than that in the South region. Therefore, the increase in the yield per hectare for maize in the North region due to the positive impacts of climate change was greater than that in the South region. In contrast, the sensitivity to climate change of the yield per hectare for rice in the South region was stronger than that in the North region. Furthermore, the sensitivity to climate change of maize per hectare yield was stronger than that of rice and wheat in the North region, and that of rice was the highest of the three crop yields in the South region. Finally, the economy–climate sensitivity zones of different crops were determined by the output elasticity of the CCF to help adapt to climate change and prevent food production risks.

ACS Style

Yuan Xu; Jieming Chou; Fan Yang; Mingyang Sun; Weixing Zhao; Jiangnan Li. Assessing the Sensitivity of Main Crop Yields to Climate Change Impacts in China. Atmosphere 2021, 12, 172 .

AMA Style

Yuan Xu, Jieming Chou, Fan Yang, Mingyang Sun, Weixing Zhao, Jiangnan Li. Assessing the Sensitivity of Main Crop Yields to Climate Change Impacts in China. Atmosphere. 2021; 12 (2):172.

Chicago/Turabian Style

Yuan Xu; Jieming Chou; Fan Yang; Mingyang Sun; Weixing Zhao; Jiangnan Li. 2021. "Assessing the Sensitivity of Main Crop Yields to Climate Change Impacts in China." Atmosphere 12, no. 2: 172.

Journal article
Published: 02 January 2020 in Physics and Chemistry of the Earth, Parts A/B/C
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To improve its ability to adapt to climate change, China has promised considerable carbon emission reduction and proposed the policy strategy of “energy revolution”. Considering the lowest carbon emission intensity and the greatest mitigation task in the Eastern Economic Zone of China, this paper analyses the change of carbon emission intensity in Eastern China from 2000 to 2015. First, to prove the significance of carbon emission intensity, this paper studies the cointegration relationship between carbon emissions and the GDP. Afterwards, from the spatiotemporal perspective, this paper decomposes and analyses the carbon emission intensity of the whole country, Eastern China and the provinces of Eastern China and quantifies the impact of different factors. This paper finds that the energy structure of China and the East was in a relatively stable state during this period. In the past, the decrease in carbon emission intensity mainly depended on the improvement of sectoral emission efficiency, and the influence of industrial structure is growing. Furthermore, changes in the eastern region are similar to those in the whole country. The eastern region needs to give full play to its economic advantage in the future. On the spatial scale, GDP per capita and the ratio of tertiary industry have a significant impact on the spatial heterogeneity of carbon emission intensity in East China, while the ratio of secondary industry has few effects. Replacing energy-intensive industry with the service industry will be the focus of emission reduction in the future.

ACS Style

Fan Yang; Jieming Chou; Wenjie Dong; Mingyang Sun; Weixing Zhao. Adaption to climate change risk in eastern China: Carbon emission characteristics and analysis of reduction path. Physics and Chemistry of the Earth, Parts A/B/C 2020, 115, 102829 .

AMA Style

Fan Yang, Jieming Chou, Wenjie Dong, Mingyang Sun, Weixing Zhao. Adaption to climate change risk in eastern China: Carbon emission characteristics and analysis of reduction path. Physics and Chemistry of the Earth, Parts A/B/C. 2020; 115 ():102829.

Chicago/Turabian Style

Fan Yang; Jieming Chou; Wenjie Dong; Mingyang Sun; Weixing Zhao. 2020. "Adaption to climate change risk in eastern China: Carbon emission characteristics and analysis of reduction path." Physics and Chemistry of the Earth, Parts A/B/C 115, no. : 102829.

Journal article
Published: 23 December 2019 in Physics and Chemistry of the Earth, Parts A/B/C
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To assess the impact of tropical cyclones (hereafter as TCs) along the southeast coast of China, this study analyzed the spatiotemporal variation of TC-induced disasters, interannual variability of disasters and their intensities by using the data during 1990–2016. Economic losses were calculated by using the three disaster indices: based on the area of affected crops, number of collapsed buildings, and direct economic losses. Entropy method was used to improve the comprehensive disaster index impact model for the first time and use it in tropical cyclone disaster assessment. It is found that there was no obvious interannual variation in the total number of TCs affecting China, although low-intensity TCs decreased and high-intensity TCs increased significantly. Conditions in 2015 were used as a reference to convert the loss index. Results show that 1997 was a turning point in the combined disaster index. Moreover, interannual fluctuations were severe in the former period, but lower in the latter and smoother. According to the economic calculations from the three disaster indices, the economic value of collapsed buildings and affected crops tended to decrease over the interdecadal period, whereas there was an obvious increasing interdecadal trend in direct economic losses. This result indicates that the tropical cyclone induced disasters has gradually shifted from primary industry to secondary and tertiary industry. Results from this paper will provide science based support to policy makers to reduce the economic losses in natural disasters.

ACS Style

Jieming Chou; Wenjie Dong; Gang Tu; Yuan Xu. Spatiotemporal distribution of landing tropical cyclones and disaster impact analysis in coastal China during 1990–2016. Physics and Chemistry of the Earth, Parts A/B/C 2019, 115, 102830 .

AMA Style

Jieming Chou, Wenjie Dong, Gang Tu, Yuan Xu. Spatiotemporal distribution of landing tropical cyclones and disaster impact analysis in coastal China during 1990–2016. Physics and Chemistry of the Earth, Parts A/B/C. 2019; 115 ():102830.

Chicago/Turabian Style

Jieming Chou; Wenjie Dong; Gang Tu; Yuan Xu. 2019. "Spatiotemporal distribution of landing tropical cyclones and disaster impact analysis in coastal China during 1990–2016." Physics and Chemistry of the Earth, Parts A/B/C 115, no. : 102830.

Journal article
Published: 18 August 2019 in Sustainability
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Drought risk analysis can help improve disaster management techniques, thereby reducing potential drought risk under the impacts of climate change. This study analyses observed and model-simulated spatial patterns of changes in drought risk in vulnerable eco-regions in China during 1988–2017 and 2020–2050 using an analytic hierarchy process (AHP) method. To perform a risk assessment and estimation of a drought disaster, three subsystems—namely hazard, vulnerability and exposure—are assessed in terms of the effects of climate change since the middle of the 21st century: (i) Hazards, represented by climate anomalies related to the drought process, such as changes in rainfall averages, temperature averages and evaporation averages; (ii) vulnerability, encompassing land use and mutual transposition between them; (iii) exposure, consisting of socioeconomic, demographic, and farming. The results demonstrated that high hazards continue to be located in the arid zone, high vulnerability levels occur in the Junggar Basin and Inner Mongolia Plateau, and high exposure levels occur Loess Plateau and southern coastal area. In this way, the results provide exhaustive measures for proactive drought risk management and mitigation strategies.

ACS Style

Jieming Chou; Tian Xian; Runze Zhao; Yuan Xu; Fan Yang; Mingyang Sun. Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change. Sustainability 2019, 11, 4463 .

AMA Style

Jieming Chou, Tian Xian, Runze Zhao, Yuan Xu, Fan Yang, Mingyang Sun. Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change. Sustainability. 2019; 11 (16):4463.

Chicago/Turabian Style

Jieming Chou; Tian Xian; Runze Zhao; Yuan Xu; Fan Yang; Mingyang Sun. 2019. "Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change." Sustainability 11, no. 16: 4463.

Research article
Published: 21 January 2019 in International Journal of Climatology
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Anthropogenically induced climate warming will not stop as long as carbon dioxide (CO2) emissions continue to increase. As positive feedback from the cryosphere can amplify climate warming in higher latitudes, adaptation to and mitigation of climate change in the cryosphere have become particularly important. In this study, we quantified the contributions of climate policies of the developed and developing worlds to moderating decreases in Northern Hemisphere sea ice and snow, using the Earth System Model of Beijing Normal University (BNU‐ESM). The results indicate that the sea ice extent and snow cover would continue to shrink as CO2 concentrations continue to increase, and the combined efforts of the developed and developing worlds could successfully reduce losses of Arctic sea ice and snow. In the medium term (before 2060), contributions of the developing world to reducing the loss of Arctic sea ice extent are expected to be 65% in JFM and 60% in JAS, while the corresponding contributions to reducing snow cover loss are 46% and 70%. These contributions from the developed world are smaller: 44% in JFM and 22 % in JAS for sea ice extent and 34% in JFM and 20% in JAS for snow cover. Over the long term (until 2100), the developing world is expected to contribute 71% in JFM and 77% in JAS to reducing the Arctic sea ice losses, and its contribution to reducing snow cover loss is 73% and 66%. Similarly, the corresponding contribution for the developed world is also smaller: 36% in JFM and 24% in JAS for sea ice extent and 32% in JFM and 30% in JAS for snow cover. However, the developed and developing world achieves a combined mitigation effect of more than 90% in the near and long term.

ACS Style

Shili Yang; Wenjie Dong; Jieming Chou; Tanlong Dai; Tao Hong; Cunde Xiao; Ting Wei; Di Tian; Ng Ji. Quantifying the developed and developing worlds’ carbon reduction contributions to Northern Hemisphere cryosphere change. International Journal of Climatology 2019, 39, 3231 -3240.

AMA Style

Shili Yang, Wenjie Dong, Jieming Chou, Tanlong Dai, Tao Hong, Cunde Xiao, Ting Wei, Di Tian, Ng Ji. Quantifying the developed and developing worlds’ carbon reduction contributions to Northern Hemisphere cryosphere change. International Journal of Climatology. 2019; 39 (7):3231-3240.

Chicago/Turabian Style

Shili Yang; Wenjie Dong; Jieming Chou; Tanlong Dai; Tao Hong; Cunde Xiao; Ting Wei; Di Tian; Ng Ji. 2019. "Quantifying the developed and developing worlds’ carbon reduction contributions to Northern Hemisphere cryosphere change." International Journal of Climatology 39, no. 7: 3231-3240.

Journal article
Published: 21 December 2018 in Sustainability
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Understanding the temporal and spatial distribution in disasters plays an important role in disaster risk management. The present study aims to explore the long-term trends in drought and floods over China and estimate the economic losses they cause. A peak-over-threshold approach is used to identify flood peaks, and the relationship between the disasters and climate indices is investigated using Poisson regression. The major results are as follows: (1) the northeastern part of China was severely affected by drought disasters (average damaged area was 6.44 million hectares); (2) the northern part of East China and Central China upstream of the Yangtze River were severely affected by flood disasters (average damaged area was 3.97 million hectares); (3) in the Yangtze River Basin, there are increasing trends in terms of drought and extreme precipitation, especially upstream of the Yangtze River, accompanied by severe disaster losses; and (4) by combining the trends in drought and extreme precipitation days with the spatial distribution of damaged areas, the study indicates that the increasing trend in droughts has shifted gradually from north to south, and the increasing trend in extreme precipitation gradually has shifted from south to north.

ACS Style

Jieming Chou; Tian Xian; Wenjie Dong; Yuan Xu. Regional Temporal and Spatial Trends in Drought and Flood Disasters in China and Assessment of Economic Losses in Recent Years. Sustainability 2018, 11, 55 .

AMA Style

Jieming Chou, Tian Xian, Wenjie Dong, Yuan Xu. Regional Temporal and Spatial Trends in Drought and Flood Disasters in China and Assessment of Economic Losses in Recent Years. Sustainability. 2018; 11 (1):55.

Chicago/Turabian Style

Jieming Chou; Tian Xian; Wenjie Dong; Yuan Xu. 2018. "Regional Temporal and Spatial Trends in Drought and Flood Disasters in China and Assessment of Economic Losses in Recent Years." Sustainability 11, no. 1: 55.

Research article
Published: 15 June 2018 in Earth and Space Science
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In the use of integrated assessment models to determine how the economy is affected by climate change, the bidirectional coupling of earth system model with the integrated assessment model is needed. In the context of coupled problems in human–Earth systems, two issues persist: spatial and temporal scale matching. For spatial scale matching, this paper proposes the area weight conversion method, a gridding method for calculations to accord with the grid of the Earth's system mode, where administrative data cells are transformed into grid data by “pre‐gridding” and “post‐gridding”. For temporal scale matching, the temporal scale of the economic statistics was shortened to 1 year to render it consistent with the Earth System Model. Using the area weight conversion method, grid processing was performed in terms of population and GDP (Gross Domestic Product) for all provinces of China and every country of the world, respectively. The results showed that the characteristics of gridding population and GDP data were consistent with their actual distributions, i.e., the credibility of gridding was high. The temporal matching treatment refined to the year and the spatial matching treatment following gridding met the overall requirements of coupling. Moreover, they provide a foundation for the coupling of the human‐Earth system model.

ACS Style

Jieming Chou; Chuanye Hu; Wenjie Dong; Jinghan Ban. Temporal and Spatial Matching in Human-Earth System Model Coupling. Earth and Space Science 2018, 5, 231 -239.

AMA Style

Jieming Chou, Chuanye Hu, Wenjie Dong, Jinghan Ban. Temporal and Spatial Matching in Human-Earth System Model Coupling. Earth and Space Science. 2018; 5 (6):231-239.

Chicago/Turabian Style

Jieming Chou; Chuanye Hu; Wenjie Dong; Jinghan Ban. 2018. "Temporal and Spatial Matching in Human-Earth System Model Coupling." Earth and Space Science 5, no. 6: 231-239.

Journal article
Published: 05 June 2018 in Sustainability
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Climate policy plays an important role in keeping global temperature rises below the target of 1.5–2 °C above pre-industrial levels, and technological innovations are key to determining the effectiveness of climate policy. In this study, we investigated the climate impact of the USA’s policy choices using the enforced multi-factor regional climate and economy system (EMRICES,) and the Earth system model from Beijing Normal University (BNU-ESM). Three emission scenarios were designed based on the assumption of whether or not the US follows its proposed nationally determined contribution (NDC) and makes use of technological innovations. The results showed that if the US does not implement the NDC and had no technological progress, there would be an extra 176.7 Gt of cumulative carbon emissions by the end of the 21st century compared to that of all the countries that follow their NDC. The additional emissions would lead to an increase of 62 ppm in CO2 concentration and a 0.4 °C increase in global warming by 2100. It would also lead to a 2% loss for the US and Chinese economies, compared to the NDC scenario. The Earth system model results also show that even if all the countries follow the DNC, it would be difficult to keep the temperature from increasing less than 1.5 °C. This study implies that the US withdrawal from the Paris Agreement and their refusal to adopt technological progress is not conducive to achieving the 1.5 °C goal, and more stringent emission reduction targets or technology innovations would be required for the world to control global warming to a level below 1.5 °C.

ACS Style

Shili Yang; Changxin Liu; Wenjie Dong; Jieming Chou; Di Tian; Ting Wei; Yuan Tian. Quantifying the Climate Impact of the US Policy Choices Using an Economic and Earth System Model. Sustainability 2018, 10, 1884 .

AMA Style

Shili Yang, Changxin Liu, Wenjie Dong, Jieming Chou, Di Tian, Ting Wei, Yuan Tian. Quantifying the Climate Impact of the US Policy Choices Using an Economic and Earth System Model. Sustainability. 2018; 10 (6):1884.

Chicago/Turabian Style

Shili Yang; Changxin Liu; Wenjie Dong; Jieming Chou; Di Tian; Ting Wei; Yuan Tian. 2018. "Quantifying the Climate Impact of the US Policy Choices Using an Economic and Earth System Model." Sustainability 10, no. 6: 1884.

Journal article
Published: 01 March 2018 in Advances in Climate Change Research
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Based on data of 22 models from the Coupled Model Inter-comparison Project Phase 5 (CMIP5), the performance of climate simulation is assessed and future changes under RCP2.6, RCP4.5 and RCP8.5 are projected over critical Belt and Road region. Compared with observations, the CMIP5 models simulate the linear trend and spatial distribution of the annual mean surface air temperature (SAT) better in the north (NBR) and south (SBR) of the Belt and Road region. The trend of the 22-model ensemble mean (CMIP5 MME) is 0.70/0.50 °C per 100 years from 1901 to 2005, and the observed trend is 1.11/0.77 °C per 100 years in the NBR/SBR region. After 1971, the relative error between CMIP5 MME and observations is 22%/15% in the NBR/SBR region. Seven/nine models are selected in the NBR/SBR to project future SAT changes under three RCP scenarios. For 2081–2100, warming in the NBR/SBR is projected to be (1.16 ± 0.29)/(0.72 ± 0.32) °C, (2.41 ± 0.54)/(1.55 ± 0.44) °C, and (5.23 ± 1.02)/(3.33 ± 0.65) °C for RCP2.6, RCP4.5, and RCP8.5, respectively. Under the RCP scenarios, the NBR region shows greater warming than the SBR region. The most significant warming is expected in Kazakhstan and the northern part of the SBR. The associated uncertainty generally increases with time under the three RCP scenarios. Furthermore, increases in warming over the Belt and Road region are more remarkable under higher-emission scenarios than lower-emission ones.

ACS Style

Tian-Yun Dong; Wen-Jie Dong; Yan Guo; Jie-Ming Chou; Shi-Li Yang; Di Tian; Dong-Dong Yan. Future temperature changes over the critical Belt and Road region based on CMIP5 models. Advances in Climate Change Research 2018, 9, 57 -65.

AMA Style

Tian-Yun Dong, Wen-Jie Dong, Yan Guo, Jie-Ming Chou, Shi-Li Yang, Di Tian, Dong-Dong Yan. Future temperature changes over the critical Belt and Road region based on CMIP5 models. Advances in Climate Change Research. 2018; 9 (1):57-65.

Chicago/Turabian Style

Tian-Yun Dong; Wen-Jie Dong; Yan Guo; Jie-Ming Chou; Shi-Li Yang; Di Tian; Dong-Dong Yan. 2018. "Future temperature changes over the critical Belt and Road region based on CMIP5 models." Advances in Climate Change Research 9, no. 1: 57-65.

Journal article
Published: 23 March 2016 in Journal of Climate
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Global warming as quantified by surface air temperature has been shown to be approximately linearly related to cumulative emissions of CO2. Here, a coupled state-of-the-art Earth system model with an interactive carbon cycle (BNU-ESM) was used to investigate whether this proportionality extends to the complex Earth system model and to examine the climate system responses to different emission pathways with a common emission budget of man-made CO2. These new simulations show that, relative to the lower emissions earlier and higher emissions later (LH) scenario, the amount of carbon sequestration by the land and the ocean will be larger and Earth will experience earlier warming of climate under the higher emissions earlier and lower emissions later (HL) scenario. The processes within the atmosphere, land, and cryosphere, which are highly sensitive to climate, show a relatively linear relationship to cumulative CO2 emissions and will attain similar states under both scenarios, mainly because of the negative feedback between the radiative forcing and ocean heat uptake. However, the processes with larger internal inertias depend on both the CO2 emissions scenarios and the emission budget, such as ocean warming and sea level rise.

ACS Style

Di Tian; Wenjie Dong; Xiaodong Yan; Jieming Chou; Shili Yang; Ting Wei; Han Zhang; Yan Guo; Xiaohang Wen; Zhiyong Yang. Climate System Responses to a Common Emission Budget of Carbon Dioxide. Journal of Climate 2016, 29, 2433 -2442.

AMA Style

Di Tian, Wenjie Dong, Xiaodong Yan, Jieming Chou, Shili Yang, Ting Wei, Han Zhang, Yan Guo, Xiaohang Wen, Zhiyong Yang. Climate System Responses to a Common Emission Budget of Carbon Dioxide. Journal of Climate. 2016; 29 (7):2433-2442.

Chicago/Turabian Style

Di Tian; Wenjie Dong; Xiaodong Yan; Jieming Chou; Shili Yang; Ting Wei; Han Zhang; Yan Guo; Xiaohang Wen; Zhiyong Yang. 2016. "Climate System Responses to a Common Emission Budget of Carbon Dioxide." Journal of Climate 29, no. 7: 2433-2442.

Journal article
Published: 01 January 2015 in Physics and Chemistry of the Earth, Parts A/B/C
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ACS Style

Jieming Chou; Wenjie Dong; Shuyu Wang; Yuqing Fu. Quantitative analysis of agricultural land use change in China. Physics and Chemistry of the Earth, Parts A/B/C 2015, 87-88, 3 -9.

AMA Style

Jieming Chou, Wenjie Dong, Shuyu Wang, Yuqing Fu. Quantitative analysis of agricultural land use change in China. Physics and Chemistry of the Earth, Parts A/B/C. 2015; 87-88 ():3-9.

Chicago/Turabian Style

Jieming Chou; Wenjie Dong; Shuyu Wang; Yuqing Fu. 2015. "Quantitative analysis of agricultural land use change in China." Physics and Chemistry of the Earth, Parts A/B/C 87-88, no. : 3-9.

Journal article
Published: 01 April 2014 in Journal of Cleaner Production
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Accompanying the boom in the global economy, CO2 emissions have soared over the past several decades, with the developing world exhibiting higher emission growth rates than the developed world. Emissions transfers between regions, which represent a significant fraction of total emissions, are assumed to be a primary factor contributing to this difference. It is important to understand these transfer figures and the resulting consumption-based emissions in order to evaluate the emissions drivers and establish climate policies. Existing studies, however, have merely estimated figures over a 20 years span (post-1990) using a traditional input–output analysis (IOA) framework. To broaden the data coverage (to pre-1990) of these transfer figures and to further analyze their impacts on total emissions in the long term, a new model called the Long-term Consumption-based Accounting model (LCBA), which is directly based on statistics, is developed to span the period from 1948 to 2011. The results are consistent with the magnitudes and trends of existing studies over the validation (post-1990) period. We use Monte Carlo methods to calculate upper and lower bounds on the LCBA for each country and year, and find that 3 existing time series are almost fully included within these boundaries from 1990. Furthermore, the LCBA model is succinct enough to be easily expanded for future GHG estimations or to analyze other ecological footprints related to “the flow of materials”. It can be assumed that the soaring emissions transfers will seriously jeopardize the current climate policies such as Kyoto Protocol. The Durban Platform for Enhanced Action (ADP) under which all parties are legally bound will require a consumption-based accounting method together with the territorial one in order to achieve an equitable agreement. However, more researches are still needed to facilitate the use of these figures to better support decision making.

ACS Style

Zhiyong Yang; Wenjie Dong; Ting Wei; Yuqing Fu; Xuefeng Cui; John Moore; Jieming Chou. Constructing long-term (1948–2011) consumption-based emissions inventories. Journal of Cleaner Production 2014, 103, 793 -800.

AMA Style

Zhiyong Yang, Wenjie Dong, Ting Wei, Yuqing Fu, Xuefeng Cui, John Moore, Jieming Chou. Constructing long-term (1948–2011) consumption-based emissions inventories. Journal of Cleaner Production. 2014; 103 ():793-800.

Chicago/Turabian Style

Zhiyong Yang; Wenjie Dong; Ting Wei; Yuqing Fu; Xuefeng Cui; John Moore; Jieming Chou. 2014. "Constructing long-term (1948–2011) consumption-based emissions inventories." Journal of Cleaner Production 103, no. : 793-800.

Journal article
Published: 21 April 2011 in Chinese Science Bulletin
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ACS Style

Jieming Chou; Wenjie Dong; Guolin Feng. The methodology of quantitative assess economic output of climate change. Chinese Science Bulletin 2011, 56, 1333 -1335.

AMA Style

Jieming Chou, Wenjie Dong, Guolin Feng. The methodology of quantitative assess economic output of climate change. Chinese Science Bulletin. 2011; 56 (13):1333-1335.

Chicago/Turabian Style

Jieming Chou; Wenjie Dong; Guolin Feng. 2011. "The methodology of quantitative assess economic output of climate change." Chinese Science Bulletin 56, no. 13: 1333-1335.

Article
Published: 19 June 2010 in Advances in Atmospheric Sciences
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An interdisciplinary investigation was conducted to assess the impact of climate change on grain yields using an economy-climate model (C-D-C). The model was formulated by incorporating climate factors into the classic Cobb-Douglas (C-D) economic production function model. The economic meanings of the model output elasticities are described and elucidated. The C-D-C model was applied to the assessment of the impact of climate change on grain yields in China during the past 20 years, from 1983 through 2002. In the study, the land of China was divided into eight regions, and both the C-D-C and C-D models were applied to each individual region. The results suggest that the C-D-C model is superior to the classic C-D model, indicating the importance of climate factors. Prospective applications of the C-D-C model are discussed.

ACS Style

Jieming Chou; Wenjie Dong; Guolin Feng. Application of an economy-climate model to assess the impact of climate change. Advances in Atmospheric Sciences 2010, 27, 957 -965.

AMA Style

Jieming Chou, Wenjie Dong, Guolin Feng. Application of an economy-climate model to assess the impact of climate change. Advances in Atmospheric Sciences. 2010; 27 (4):957-965.

Chicago/Turabian Style

Jieming Chou; Wenjie Dong; Guolin Feng. 2010. "Application of an economy-climate model to assess the impact of climate change." Advances in Atmospheric Sciences 27, no. 4: 957-965.

Journal article
Published: 01 April 2007 in Chinese Science Bulletin
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An attempt has been made to construct a novel economy-climate model by combining climate change research with agricultural economy research to evaluate the influence of global climate change on grain yields. The insertion of a climate change factor into the economic C-D (Cobb-Dauglas) production function model yields a novel evaluation model, which connects the climate change factor to the economic variation factor, and the performance and reasonableness of the novel evaluation model are also preliminarily simulated and verified.

ACS Style

Jieming Chou; Wenjie Dong; Duzheng Ye. Construction of a novel economy-climate model. Chinese Science Bulletin 2007, 52, 1006 -1008.

AMA Style

Jieming Chou, Wenjie Dong, Duzheng Ye. Construction of a novel economy-climate model. Chinese Science Bulletin. 2007; 52 (7):1006-1008.

Chicago/Turabian Style

Jieming Chou; Wenjie Dong; Duzheng Ye. 2007. "Construction of a novel economy-climate model." Chinese Science Bulletin 52, no. 7: 1006-1008.

Article
Published: 01 March 2007 in Advances in Atmospheric Sciences
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The impact of climate change on agriculture has received wide attention by the scientific community. This paper studies how to assess the grain yield impact of climate change, according to the climate change over a long time period in the future as predicted by a climate system model. The application of the concept of a traditional “yield impact of meteorological factor (YIMF)” or “yield impact of weather factor” to the grain yield assessment of a decadal or even a longer timescale would be suffocated at the outset because the YIMF is for studying the phenomenon on an interannual timescale, and it is difficult to distinguish between the trend caused by climate change and the one resulting from changes in non-climatic factors. Therefore, the concept of the yield impact of climatic change (YICC), which is defined as the difference in the per unit area yields (PUAY) of a grain crop under a changing and an envisaged invariant climate conditions, is presented in this paper to assess the impact of global climate change on grain yields. The climatic factor has been introduced into the renowned economic Cobb-Douglas model, yielding a quantitative assessment method of YICC using real data. The method has been tested using the historical data of Northeast China, and the results show that it has an encouraging application outlook.

ACS Style

Wenjie Dong; Jieming Chou; Guolin Feng. A new economic assessment index for the impact of climate change on grain yield. Advances in Atmospheric Sciences 2007, 24, 336 -342.

AMA Style

Wenjie Dong, Jieming Chou, Guolin Feng. A new economic assessment index for the impact of climate change on grain yield. Advances in Atmospheric Sciences. 2007; 24 (2):336-342.

Chicago/Turabian Style

Wenjie Dong; Jieming Chou; Guolin Feng. 2007. "A new economic assessment index for the impact of climate change on grain yield." Advances in Atmospheric Sciences 24, no. 2: 336-342.