城市土地配置中的行业用地和产业结构

P. Burnett
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引用次数: 0

摘要

本文采用综合行业和住宅用地数据的可计算一般均衡(CGE)模型来估计土地分配给特定行业的影响。该报告还分析了一个15英亩开发项目的部门组合,使用了四种地方利益衡量标准(lim):每英亩收入、每英亩税收、每户收入和每户税收。将一英亩土地分配给高工资的服务业,人口和家庭收入的增幅最大,而零售业的间接影响不大,这使得它对可用土地有限的地区具有吸引力。估算了特定部门的土地乘数,并将土地总量划分为类别,以帮助分区和住房分配。结果显示了部门互动的重要性,并揭示了部门增长互补性,当将部门添加到项目中时,会增加LIM。最后,研究结果表明,如果制造业不可用,零售业或旅游业的出口增长可以替代并增加大多数出口。
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SECTOR LAND USE AND INDUSTRIAL MIX IN URBAN LAND ALLOCATION
This paper uses a computable general equilibrium (CGE) model with integrated sector and residential land data to estimate the impact of allocating land to specific industrial sectors. It also analyzes sector combinations for a 15 acre development project using four local interest measures (LIMs): income per acre, tax revenue per acre, income per household, and tax revenue per household. Allocating an acre to high-wage services yields the largest increases in population and household income, while retail's modest indirect effects make it attractive to areas with limited available land. Sector-specific land multipliers are estimated and total land is broken into categories to aid zoning and housing distribution. The results show the importance of sector interaction and reveal sector growth complements, sectors that when added to a project, increase a LIM. Finally, the results show that if manufacturing is unavailable, export growth in retail or tourism can substitute and increase most LIMs.
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来源期刊
Review of Urban and Regional Development Studies
Review of Urban and Regional Development Studies Social Sciences-Geography, Planning and Development
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1.10
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期刊介绍: Review of Urban & Regional Development Studies (RURDS) focuses on issues of immediate practical interest to those involved in policy formation and implementation. Articles contain rigorous empirical analysis, with many emphasizing policy relevance and the operational aspects of the academic disciplines, while others focus on theoretical and methodological issues. Interdisciplinary and international in perspective, RURDS has a wide appeal: in addition to scholars, readership includes planners, engineers and managers in government, business and development agencies worldwide.
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