Spatially Differentiated Trends between Forest Pest-Induced Losses and Measures for Their Control in China

Qi Cai, Yushi Cai and Yali Wen
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Qi Cai: College of Economics and Management, Beijing Forestry University, Beijing 100083, China
Yushi Cai: General Station of Forest and Grassland Pest Management, National Forestry and Grassland Administration, Key Laboratory of National Forestry and Grassland Administration on Forest Pest Monitoring and Warning, Shenyang 110034, China
Yali Wen: College of Economics and Management, Beijing Forestry University, Beijing 100083, China

Sustainability, 2018, vol. 11, issue 1, 1-16

Abstract: Historically, China has exhibited spatial differentiation in issues ranging from population distribution to ecological or economic development; forest pest-control work exemplifies this tendency. In recent times, global warming, man-made monoculture tree-plantations, increasing human population density, and intensified international trade aggravate forest pest outbreaks. Although the Chinese government has complied with internationally recommended practices, some aspects of pest management remain unaddressed due to existing differential regional imbalance in forest pest distribution and control capacities. Evidence shows that the high-income provinces in the south have taken advantage of economic and technological superiority, resulting in the adoption of more efficient pest-control measures. In contrast, the economically underdeveloped provinces of the northwest continue to experience a paucity of financial support that has led to serious threats of pest damage that almost mirror the demarcations of the Hu Huanyong Line. In this paper, we propose the introduction of a Public–Private–Partnership (PPP) model into forest pest control and the combination of the national strategies to enact regional prevention measures to break away from current spatially differentiated trends in China.

Keywords: spatially differentiated; forest pest outbreak; control measures; Hu line (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
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