Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-24T02:43:52.993Z Has data issue: false hasContentIssue false
  • English
  • Français

Investigating the role of spatial spillovers as determinants of land conversion in urbanizing Canada

Published online by Cambridge University Press:  09 November 2021

Feng Qiu Open the ORCID record for Feng Qiu [Opens in a new window] ,
Qingmeng Tong  and
Junbiao Zhang
Feng Qiu*
Affiliation:
Department of Resource Economics and Environmental Sociology, University of Alberta, Edmonton, Alberta, Canada
Qingmeng Tong
Affiliation:
School of Economics and Business Administration, Central China Normal University, Wuhan, Hubei, China
Junbiao Zhang
Affiliation:
College of Economics and Management, Huazhong Agricultural University, Wuhan, Hubei, China International Joint Laboratory of Climate Change Response and Sustainable Agriculture, Huazhong Agricultural University, Wuhan, Hubei, China
*
*Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Although the impacts of income, population growth, and other important determinants of land-use change have been widely studied, there is less understanding of how spatial spillovers matter. Utilizing a spatial econometric approach, we investigate the main determinants of natural landscape conversion, focusing on quantifying local and global spatial spillovers. The empirical investigation applies to the Edmonton Metropolitan Region and the Calgary Regional Partnership in Canada. Key results include: (1) determinants of land conversion have significant spillover effects; (2) income, population density, road density, natural land endowment and land suitability for agriculture are all found to have influences on natural land conversion both in the own and neighboring areas; and (3) local (i.e., within the immediate neighboring areas) and global (in the entire study region) spillovers are different in strength and direction. Our work provides useful information for understanding the spillover issues in land conservation, resource governance, and optimal conservation design.

Keywords

global spilloverland conservationlocal spillovernatural land lossresource governancespatial econometricsC21Q24
Type
Research Article
Information
Environment and Development Economics , Volume 27 , Issue 4 , August 2022 , pp. 357 - 373
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Albers, HJ, Lee, KD and Sims, KRE (2018) Economics of habitat fragmentation: a review and critique of the literature. International Review of Environmental and Resource Economics 11, 97–144.10.1561/101.00000092CrossRefGoogle Scholar
Albers, HJ, Preonas, L, Capitán, T, Robinson, EJZ and Madrigal-Ballestero, R (2020) Optimal siting, sizing, and enforcement of marine protected areas. Environmental and Resource Economics 77, 229–269.CrossRefGoogle Scholar
Alix-Garcia, JM, Shapiro, EN and Sims, KR (2012) Forest conservation and slippage: evidence from Mexico's national payments for ecosystem services program. Land Economics 88, 613–638.CrossRefGoogle Scholar
Alix-Garcia, JM, McIntosh, C, Sims, KR and Welch, JR (2013) The ecological footprint of poverty alleviation: evidence from Mexico's oportunidades program. Review of Economics and Statistics 95, 417–435.CrossRefGoogle Scholar
Blackman, A, Albers, HJ, Ávalos-Sartorio, B and Murphy, LC (2008) Land cover in a managed forest ecosystem: Mexican shade coffee. American Journal of Agricultural Economics 90, 216–231.CrossRefGoogle Scholar
Brown, G, McAlpine, C, Rhodes, J, Lunney, D, Goldingay, R, Fielding, K, Hetherington, S, Hopkins, M, Manning, C, Wood, M, Brace, A, Vass, L and Swankie, L (2019) Integration of social spatial data to assess conservation opportunities and priorities. Biological Conservation 236, 452–463.10.1016/j.biocon.2019.06.002CrossRefGoogle Scholar
Carson, RT (2009) The environmental Kuznets curve: seeking empirical regularity and theoretical structure. Review of Environmental Economics and Policy 4, 3–23.10.1093/reep/rep021CrossRefGoogle Scholar
Chen, D, Zhou, QG and Yu, L (2020) Response of resources and environment carrying capacity under the evolution of land use structure in Chongqing section of the three gorges reservoir area. Journal of Environmental Management 274, 111169.10.1016/j.jenvman.2020.111169CrossRefGoogle ScholarPubMed
City of Calgary (2003) Open Space Plan. Available at http://www.calgary.ca/CSPS/Parks/Documents/Planning-and-Operations/open-space-plan.pdf.Google Scholar
City of Edmonton (2001) Conserving Edmonton's Natural Areas: A Framework for Conservation Planning in an Urban Landscape. Available at https://www.edmonton.ca/city_government/documents/PDF/technical_report.pdf.Google Scholar
Efron, B (1978) Regression and ANOVA with zero-one data: measures of residual variation. Journal of the American Statistical Association 73, 113–121.10.1080/01621459.1978.10480013CrossRefGoogle Scholar
Environment Canada (2010) The Canadian Ecological Gifts Program Handbook. Available at http://publications.gc.ca/collections/collection_2011/ec/CW66-157-2010-eng.pdf.Google Scholar
Fahrig, L (2003) Effects of habitat fragmentation on biodiversity. Annual Review of Ecology Evolution, and Systematics 34, 487–515.CrossRefGoogle Scholar
Ferraro, PJ and Simorangkir, R (2020) Conditional cash transfers to alleviate poverty also reduced deforestation in Indonesia. Science Advances 6, eaaz1298.CrossRefGoogle ScholarPubMed
Ford, SA, Jepsen, MR, Kingston, N, Lewis, E, Brooks, TM, MacSharry, B and Mertz, O (2020) Deforestation leakage undermines conservation value of tropical and subtropical forest protected areas. Global Ecology and Biogeography 29, 2014–2024.CrossRefGoogle Scholar
Freeman, AM (2003) The Measurement of Environmental and Resource Values: Theory and Methods, 2nd Edn, Washington, DC: Resources for the Future.Google Scholar
Fuller, C, Ondei, S, Brook, BW and Buettel, JC (2019) First, do no harm: a systematic review of deforestation spillovers from protected areas. Global Ecology and Conservation 18, e00591.CrossRefGoogle Scholar
Gan, J and McCarl, BA (2007) Measuring transnational leakage of forest conservation. Ecological Economics 64, 423–432.CrossRefGoogle Scholar
Hanley, N and Perrings, C (2019) The economic value of biodiversity. Annual Review of Resource Economics 11, 355–375.CrossRefGoogle Scholar
Holl, A (2004) Manufacturing location and impacts of road transport infrastructure: empirical evidence from Spain. Regional Science and Urban Economics 34, 341–363.CrossRefGoogle Scholar
Irwin, EG (2002) The effects of open space on residential property values. Land Economics 78, 465–480.CrossRefGoogle Scholar
Kim, JH, Pagliara, F and Preston, J (2005) The intention to move and residential location choice behaviour. Urban Studies 42, 1621–1636.CrossRefGoogle Scholar
LeSage, JP and Pace, RK (2009) Introduction to Spatial Econometrics. Boca Raton: CRC Press.CrossRefGoogle Scholar
Lichtenberg, E and Smith-Ramirez, R (2011) Slippage in conservation cost sharing. American Journal of Agricultural Economics 93, 113–129.CrossRefGoogle Scholar
Pfaff, A and Robalino, J (2017) Spillovers from conservation programs. Annual Review of Resource Economics 9, 299–315.CrossRefGoogle Scholar
Quintero-Angel, M, Coles, A and Duque-Nivia, AA (2021) A historical perspective of landscape appropriation and land use transitions in the Colombian South Pacific. Ecological Economics 181, 106901.CrossRefGoogle Scholar
RBC Economics (2016) Housing trends and affordability June 2016. Available at http://www.rbc.com/newsroom/_assets-custom/pdf/20160622-ha.pdf.Google Scholar
Robalino, JA (2007) Land conservation policies and income distribution: who bears the burden of our environmental efforts? Environment and Development Economics 12, 521–533.CrossRefGoogle Scholar
Robalino, J and Villalobos, L (2015) Protected areas and economic welfare: an impact evaluation of national parks on local workers’ wages in Costa Rica. Environment and Development Economics 20, 283–310.CrossRefGoogle Scholar
Runyan, CW, D'Odorico, P and Shobe, W (2015) The economic impacts of positive feedbacks resulting from deforestation. Ecological Economics 120, 93–99.CrossRefGoogle Scholar
Seto, KC, Fragkias, M, Güneralp, B and Reilly, MK (2011) A meta-analysis of global urban land expansion. PLoS One 6, e23777.CrossRefGoogle ScholarPubMed
Shobe, W (2020) Emerging issues in decentralized resource governance: environmental federalism, spillovers, and linked socio-ecological systems. Annual Review of Resource Economics 12, 259–279.CrossRefGoogle Scholar
Statistics Canada (2021) Census Datasets. Available at https://www12.statcan.gc.ca/datasets/index-eng.cfm?Temporal=2016.Google Scholar
Stone, E and Wu, J (2014) Land use and municipal profiles. In Duke, JM and Wu, J (eds), The Oxford Handbook of Land Economics. New York: Oxford University Press, pp. 302–324.Google Scholar
Tobler, WR (1970) A computer movie simulating urban growth in the Detroit region. Economic Geography 46, 234–240.CrossRefGoogle Scholar
Wang, H and Swallow, BM (2016) Optimizing expenditures for agricultural land conservation: spatially-explicit estimation of benefits, budgets, costs and targets. Land Use Policy 59, 272–283.CrossRefGoogle Scholar
Wang, J, Wang, K, Shi, X and Wei, YM (2019) Spatial heterogeneity and driving forces of environmental productivity growth in China: would it help to switch pollutant discharge fees to environmental taxes? Journal of Cleaner Production 223, 36–44.CrossRefGoogle Scholar
Wang, LO, Wu, H and Hao, Y (2020) How does China's land finance affect its carbon emissions? Structural Change and Economic Dynamics 54, 267–281.CrossRefGoogle Scholar
Williams, RC III (2012) Growing state–federal conflicts in environmental policy: the role of market-based regulation. Journal of Public Economics 96, 1092–1099.CrossRefGoogle Scholar
Wu, J (2000) Slippage effects of the conservation reserve program. American Journal of Agricultural Economics 82, 979–992.CrossRefGoogle Scholar
Wu, H, Ren, S, Yan, G and Hao, Y (2020) Does China's outward direct investment improve green total factor productivity in the “Belt and Road” countries? Evidence from dynamic threshold panel model analysis. Journal of Environmental Management 275, 111295.CrossRefGoogle ScholarPubMed
Supplementary material: PDF

Qiu et al. supplementary material

Qiu et al. supplementary material

Download Qiu et al. supplementary material(PDF)
PDF 802.8 KB