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

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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)

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.

Suggested Citation

  • Qi Cai & Yushi Cai & Yali Wen, 2018. "Spatially Differentiated Trends between Forest Pest-Induced Losses and Measures for Their Control in China," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2018:i:1:p:73-:d:192742
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    References listed on IDEAS

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