Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Temporal and Spatial Changes of Agriculture Green Development in Beijing Ecological Conservation Developing Areas from 2006 to 2016

Version 1 : Received: 18 October 2023 / Approved: 19 October 2023 / Online: 20 October 2023 (08:36:43 CEST)

A peer-reviewed article of this Preprint also exists.

Li, H.; Zhang, W.; Xiao, X.; Lun, F.; Sun, Y.; Sun, N. Temporal and Spatial Changes of Agriculture Green Development in Beijing’s Ecological Conservation Developing Areas from 2006 to 2016. Sustainability 2024, 16, 219. Li, H.; Zhang, W.; Xiao, X.; Lun, F.; Sun, Y.; Sun, N. Temporal and Spatial Changes of Agriculture Green Development in Beijing’s Ecological Conservation Developing Areas from 2006 to 2016. Sustainability 2024, 16, 219.

Abstract

As an irreplaceable ecological barrier, the ecological conservation developing area (ECDA) is vital for the integrated construction of urban and rural areas, and optimization and adjustment of industrial structure. Developing green agriculture is the foundation and guarantee for improving the rural ecological environment and meeting the increasing needs of farmers′ income. Issued by the Chinese government, No. 1 Central Document stated the necessity of promoting agricultural green development (AGD) and the related technologies in dealing with ecological pressure and resource shortages, especially for large cities like Beijing. However, few empirical studies have conducted on spatiotemporal variations of AGD in ECDA of large cities. Based on the green agricultural traits of Beijing and the accessible data, we evaluate AGD and analyze its spatial and temporal heterogeneity of Beijing ECDA by constructiing a framework with 13 indicators. The weight coefficients of AGD indicators were calculated by the projection pursuit method, with the district panel data from 2006 to 2016. The results demonstrated that energy consumption is a vital factor of green agriculture production, and agricultural output value per unit of the arable land area is the key to the green agricultural revenue. From 2006 to 2016, the AGD index of ECDA had an increasing trend till 2012, followed by a decreasing tendency. The AGD index of the northern region is higher than the southern of ECDA. The obstacle degree model was used to verify AGD limiting factors. They were poor infrastructure, slow agritourism, low labor productivity, and low resource utilization efficiency that varied by districts in ECDA. Given these findings, our study is conducive to the AGD evaluation at the district (county) level for ECDA of large cities and also provides important policy implications.

Keywords

agricultural green development; ecological conservation developing area; spatial and temporal heterogeneity; energy consumption; resources utilization efficiency; Obstacle degree calculating model

Subject

Environmental and Earth Sciences, Environmental Science

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