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Your search keyword '"YANPENG CAI"' showing total 2 results
2 results on '"YANPENG CAI"'

1. On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net primary production.

Author

Gengyuan Liu, Xueqi Wang, Baiocchi, Giovanni, Casazza, Marco, Fanxin Meng, Yanpeng Cai, Yan Hao, Feng Wu, and Zhifeng Yang

Subjects
AGRICULTURAL productivity, ECONOMIC expansion, ECONOMIC statistics, CARBON cycle, LAND cover
Abstract

With rapid economic growth and urbanization, self-sufficiency in crop production has become central to China's agriculture policy. Accurate crop production statistics are essential for research, monitoring, and planning. Although researchers agree that China's statistical authority has considerably modernized over time, China's economic statistics have still been viewed as unreliable and often overstated to meet growth targets at different administrative levels. Recent increases in crop production reported by national statistics have also come under increasing scrutiny. This paper investigates crop production data quality from a planetary boundary perspective--comparing net primary production (NPP) harvested obtained from national statistics with satellite-driven NPP estimates that are supported by detailed observation of land cover, combined with observations on physical factors that limit plant growth. This approach provides a powerful means to check the plausibility of China's grain production statistics at different administrative levels that can generate insights about their discrepancies and can contribute to improved crop production measurements. We find some evidence of potential misreporting problems from the lower administration level where the risk of manipulation of statistics is higher. We also find problems from provincial-level major grain producers. These values can also affect the national totals. Although the numbers are affected by large uncertainties, we find that improving the spatial resolution of key agricultural parameters can greatly improve the reliability of the indicator that in turn can help improve data quality. More reliable production data will be vital for relevant research and provide better insights into food security problems, the carbon cycle, and sustainable development. [ABSTRACT FROM AUTHOR]

Published
2020
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2. Investigation of public’s perception towards rural sustainable development based on a two-level expert system

Author

Bing Chen, Zhifeng Yang, Yanpeng Cai, Wei Sun, and Gordon Huang

Subjects
Sustainable development, business.industry, General Engineering, computer.software_genre, Expert system, Computer Science Applications, Artificial Intelligence, Agriculture, Primary sector of the economy, Production (economics), Business, Rural area, Agricultural productivity, China, Environmental planning, computer
Abstract

Sustainable development is of great significance in rural areas of China, which are under coupled pressures of poverty reduction, environmental protection and economic development. In these areas, agriculture is the primary sector in supporting their economies, where a number of the relevant production and processing practices cause many adverse impacts on environment and ecosystem. This poses many challenges for decision makers in formulating sustainable development strategies without invoking potential controversies or objections from the public. In this study, a two-level expert system (TES) for facilitating the investigation of public's perception towards sustainable development in rural areas was developed. Interactive relationships among objectives of socio-economic development and environmental protection, as well as the related policy implications and public responses, were comprehensively examined and incorporated within TES. A two-level system was particularly adopted for facilitating participation of various stakeholders, including decision makers and farmers. The Yongxin County of the Shanjianghu Region in Jiangxi Province, China was selected to demonstrate the applicability of the developed TES. A series of questionnaire surveys were conducted both for acquiring knowledge about the interrelationships among sustainable development, agricultural production, poverty reduction and environmental protection. Public's perception towards various system components of rural sustainable development were efficiently acquired and analyzed. The results indicated that sustainable development would be very significant on rural areas in China. Also, public awareness to the concept and profile of rural sustainable development was still at a low level, especially for farmers. The developed TES can be not only used for acquiring knowledge of sustainable development, but also providing basic information for the formulation of relevant policies and strategies in rural areas of China.

Published
2009

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