Abstract
Expectedly, urbanization is often associated with constant degradation of natural habitat. In most cases, as demand for housing increases, natural habitat like agricultural land, forestry, and water bodies gradually gives way to building structures. Against this backdrop, the current study investigates the asymmetric nexus of agricultural land and housing market vis-à-vis house prices. The study employed the yearly data from 1976 to 2015 for the case of Sweden and used economic policy uncertainty (EPU) as a control variable in non-linear autoregressive distributed lag (NARDL) approach. The finding notes a significant and positive short- and long-run relationship between housing price and agricultural land especially when there is a negative shock on agricultural land. But when there is a negative shock on EPU, the impact on housing price is significant and negative for both short run and long run. While an asymmetric long-run relationship is significant and positive between EPU and housing price, such significant occurrence do not exist for agricultural land. Hence, in meeting housing demand and mitigating an escalated growth in house prices, implementation of effective land use policy is encouraged.
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Notes
The detail analysis of demand and supply of land regarding house prices can be followed up from Shen et al. (2018).
Detail information about the real house price index can be obtained from the OECD (http://www.oecd.org/).
World Bank Development Indicator is the sources of agricultural land information (https://data.worldbank.org/).
More can read on Economic Policy Uncertainty index (2018) (http://www.policyuncertainty.com/).
References
Akaike H (1981) Likelihood of a model and information criteria. J Econ 16(1):3–14
Alola AA, Alola UV (2018) Agricultural land usage and tourism impact on renewable energy consumption among Coastline Mediterranean Countries. Energy Environ. 0958305X18779577
André C, Bonga-Bonga L, Gupta R, Muteba Mwamba JW (2017) Economic policy uncertainty, US real housing returns and their volatility: a nonparametric approach. J Real Estate Res 39(4):493–513
Andreas Claussen C (2013) Are Swedish houses overpriced? Int J Hous Mark Anal 6(2):180–196
Aoki K, Proudman J, Vlieghe G (2004) House prices, consumption, and monetary policy: a financial accelerator approach. J Financ Intermed 13(4):414–435
Atterhög M, Lind H (2004) How does an increased competition on the housing market affect rents? An empirical study concerning Sweden. Hous Stud 19(1):107–123
Aye GC (2018) Causality between economic policy uncertainty and real housing returns in emerging economies: a cross-sample validation approach. Cogent Economics & Finance, (just-accepted)
Aye GC, Balcilar M, Bosch A, Gupta R (2014) Housing and the business cycle in South Africa. J Policy Model 36(3):471–491
Baker SR, Bloom N, Davis SJ (2016) Measuring economic policy uncertainty. The Quarterly Journal of Economics 131(4):1593–1636
Banerjee A, Dolado J, Mestre R (1998) Error-correction mechanism tests for cointegration in a single-equation framework. J Time Ser Anal 19(3):267–283
Bao H, Peng Y (2016) Effect of land expropriation on land-lost farmers’ entrepreneurial action: a case study of Zhejiang Province. Habitat Int 53:342–349
Barry M, Roux L (2016) Land ownership and land registration suitability theory in state-subsidized housing in two South African towns. Habitat Int 53:48–54
Bengtsson B (2001) Housing as a social right: implications for welfare state theory. Scand Polit Stud 24(4):255–275
Bernanke BS (1983) Irreversibility, uncertainty, and cyclical investment. Q J Econ 98(1):85–106
Burnside C, Eichenbaum M, Rebelo S (2016) Understanding booms and busts in housing markets. J Polit Econ 124(4):1088–1147
Canarella G, Miller S, Pollard S (2012) Unit roots and structural change: an application to US house price indices. Urban Stud 49(4):757–776
Case KE, Shiller RJ (1988) The efficiency of the market for single-family homes
Case KE, Quigley JM, Shiller RJ (2005) Comparing wealth effects: the stock market versus the housing market. Adv Macroecon 5(1)
Cesa-Bianchi A (2013) Housing cycles and macroeconomic fluctuations: a global perspective. J Int Money Financ 37:215–238
Cesa-Bianchi A, Cespedes LF, Rebucci A (2015) Global liquidity, house prices, and the macroeconomy: evidence from advanced and emerging economies. J Money Credit Bank 47(S1):301–335
Chen Y, Chen Z, Xu G, Tian Z (2016) Built-up land efficiency in urban China: insights from the general land use plan (2006–2020). Habitat Int 51:31–38
Cho SH, Bowker JM, Park WM (2006) Measuring the contribution of water and green space amenities to housing values: an application and comparison of spatially weighted hedonic models. J Agric Resour Econ 485–507
Christou C, Gupta R, Hassapis C (2017) Does economic policy uncertainty forecast real housing returns in a panel of OECD countries? A Bayesian approach. Q Rev Econ Finance 65:50–60
Chuai X, Huang X, Wu C, Li J, Lu Q, Qi X, Zhang M, Zuo T, Lu J (2016) Land use and ecosystems services value changes and ecological land management in coastal Jiangsu, China. Habitat Int 57:164–174
Crotty J (2009) Structural causes of the global financial crisis: a critical assessment of the “new financial architecture”. Camb J Econ 33(4):563–580
Du H, Ma Y, An Y (2011) The impact of land policy on the relation between housing and land prices: evidence from China. Q Rev Econ Finance 51(1):19–27
Economic Policy Uncertainty index (2018). http://www.policyuncertainty.com/. Accessed 15 Aug 2018
Estrella A, Mishkin FS (1998) Predicting US recessions: Financial variables as leading indicators. Review of Economics and Statistics 80(1):45–61
European Union (EU) (2018) Eurostat. http://ec.europa.eu/eurostat/statistics-explained/index.php/Main_Page. Accessed 15 Aug 2018
Food and Agriculture Organization (FAO) (2018) http://www.fao.org/home/en/. Accessed 20 May 2018
Goodhart C, Hofmann B (2008) House prices, money, credit, and the macroeconomy. Oxf Rev Econ Policy 24(1):180–205
Hiller N, Lerbs OW (2016) Ageing and urban house prices. Reg Sci Urban Econ 60:276–291
Katrakilidis C, Trachanas E (2012) What drives housing price dynamics in Greece: new evidence from asymmetric ARDL cointegration. Econ Model 29(4):1064–1069
Kishor NK, Marfatia HA (2017) The dynamic relationship between housing prices and the macroeconomy: evidence from OECD countries. J Real Estate Financ Econ 54(2):237–268
Kok N, Monkkonen P, Quigley JM (2014) Land use regulations and the value of land and housing: an intra-metropolitan analysis. J Urban Econ 81:136–148
Lu X, Kuang B, Li J (2017) Regional difference decomposition and policy implications of China’s urban land use efficiency under the environmental restriction. Habitat International
Mankiw NG, Weil DN (1989) The baby boom, the baby bust, and the housing market. Reg Sci Urban Econ 19(2):235–258
Ng S, Perron P (2001) Lag length selection and the construction of unit root tests with good size and power. Econometrica 69(6):1519–1554
Nyakabawo W, Miller SM, Balcilar M, Das S, Gupta R (2015) Temporal causality between house prices and output in the US: a bootstrap rolling-window approach. N Am J Econ Financ 33:55–73
Öhman P, Yazdanfar D (2018) Bank lending and housing prices in Sweden. Int J Hous Mark Anal
Ongan S, Gocer I (2017) The relationships between home prices, financial literacy and economic policy uncertainty: empirical evidence from the US housing market. J Appl Econ Bus Res 7(4)
Organization for Economic Co-operation and Development (OECD) (2018) http://www.oecd.org/. Accessed 25 May 2018
Pesaran MH, Shin Y (1998) An autoregressive distributed lag modelling approach to cointegration analysis. Econom Soc Monogr 31:371–413
Pesaran MH, Shin Y, Smith RJ (2001) Bounds testing approaches to the analysis of level relationships. J Appl Econ 16(3):289–326
Ouattara B (2004) Modelling the long run determinants of private investment in Senegal (No. 04/05). Credit Research Paper
Shahbaz M, Van Hoang TH, Mahalik MK, Roubaud D (2017) Energy consumption, financial development and economic growth in India: new evidence from a nonlinear and asymmetric analysis. Energy Econ 63:199–212
Shen X, Huang X, Li H, Li Y, Zhao X (2018) Exploring the relationship between urban land supply and housing stock: evidence from 35 cities in China. Habitat Int 77:80–89
Shiller RJ (2012) The subprime solution: how today’s global financial crisis happened, and what to do about it. Princeton University Press
Shin Y, Yu B, Greenwood-Nimmo M (2014) Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In: Festschrift in Honor of Peter Schmidt. Springer, New York, NY, p 281–314
Sirmans S, Macpherson D, Zietz E (2005) The composition of hedonic pricing models. J Real Estate Lit 13(1):1–44
Statista (2018) https://www.statista.com/topics/3813/the-housing-market-in-europe/. Accessed 20 May 2018
Su D, Li X, Lobonţ OR, Zhao Y (2016) Economic policy uncertainty and housing returns in Germany: evidence from a bootstrap rolling window. Proceedings of Rijeka Faculty of Economics : Journal of Economics and Business 34(1):43–61
The World Bank (Housing Finance) (2018) http://www.worldbank.org/en/topic/financialsector/brief/housing-finance. Accessed 25 May 2018
Tse RY (1998) Housing price, land supply and revenue from land sales. Urban Stud 35(8):1377–1392
United Nations (World Population Prospects) (2017) http://www.un.org/en/development/desa/population/publications/index.shtml. Accessed 20 May 2018
World Development Indicator (World Bank) (2018) https://data.worldbank.org/. Accessed 20 May 2018
Zhang X, Wu Y, Shen L (2011) An evaluation framework for the sustainability of urban land use: a study of capital cities and municipalities in China. Habitat Int 35(1):141–149
Zhang H, Li L, Hui ECM, Li V (2016) Comparisons of the relations between housing prices and the macroeconomy in China’s first-, second-and third-tier cities. Habitat Int 57:24–42
Zhong T, Chen Y, Huang X (2016) Impact of land revenue on the urban land growth toward decreasing population density in Jiangsu Province, China. Habitat Int 58:34–41
Zivot E, Andrews DWK (2002) Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics 20(1):25–44
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Authors’ gratitude is extended to Prof. Mehmet Balcilar for his kind mentorship as well as prospective editor and reviewers that will/have spared time to guide toward a successful publication.
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Uzuner, G., Adewale, A.A. Does asymmetric nexus exist between agricultural land and the housing market? Evidence from non-linear ARDL approach. Environ Sci Pollut Res 26, 7677–7687 (2019). https://doi.org/10.1007/s11356-019-04211-4
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DOI: https://doi.org/10.1007/s11356-019-04211-4