바로가기메뉴

본문 바로가기 주메뉴 바로가기

ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

logo

  • P-ISSN2287-1608
  • E-ISSN2287-1616
  • KCI

The Role of the Spatial Externalities of Irrigation on the Ricardian Model of Climate Change: Application to the Southwestern U.S. Counties

Asian Journal of Innovation and Policy / Asian Journal of Innovation and Policy, (P)2287-1608; (E)2287-1616
2021, v.10 no.2, pp.212-235
https://doi.org/10.7545/ajip.2021.10.2.212
배진원 (산업연구원)
Sandy Dall’erba (University of Illinois at Urbana-Champaign)

Abstract

In spite of the increasing popularity of the Ricardian model for the study of the impact of climate change on agriculture, there has been few attempts to examine the role of interregional spillovers in this framework and all of them rely on geographical proximity-based weighting schemes. We remedy to this gap by focusing on the spatial externalities of surface water flow used for irrigation purposes and demonstrate that farmland value, the usual dependent variable used in the Ricardian framework, is a function of the climate variables experienced locally and in the upstream locations. This novel approach is tested empirically on a spatial panel model estimated across the counties of the Southwest USA over 1997-2012. This region is one of the driest in the country, hence its agriculture relies heavily on irrigated surface water. The results highlight how the weather conditions in upstream counties significantly affect downstream agriculture, thus the actual impact of climate change on agriculture and subsequent adaptation policies cannot overlook the streamflow network anymore.

keywords
Ricardian model, Spatial Externality, Streamflow network, Climate change

참고문헌

1.

An, H., Eheart, J.W. (2006). Evaluation of programs for regulating withdrawal of surface water under the riparian legal system. Journal of Water Resources Planning and Management-Asce 132, 385-394.

2.

Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, Dordrecht.

3.

Anselin, L., and Arribas-Bel, D. (2013). Spatial fixed effects and spatial dependence in a single cross‐section. Papers in Regional Science, 92(1), 3-17.

4.

Bae, J., and Dall’erba, S. (2016) The Economic Impact of a New Solar Power Plant in Arizona: Comparing the input-output Results generated by JEDI vs. IMPLAN, Regional Science Policy and Practice 8(1-2), 61-73.

5.

Baltagi, B.H., Song, S.H., Jung, B.C., and Koh, W. (2007). Testing for serial correlation, spatial autocorrelation and random effects using panel data. Journal of Econometrics, 140(1), 5-51.

6.

Brozović, N., Sunding, D.L., and Zilberman, D. (2010). On the spatial nature of the groundwater pumping externality. Resource and Energy Economics, 32(2), 154-164.

7.

Cai, C., and Dall’erba, S. (2021) On the Evaluation of the Heterogenous Climate Change Impacts on U.S. Agriculture: Does Group Membership Matter?, Climatic Change, forthcoming.

8.

Chatzopoulos, T., and Lippert, C. (2016). Endogenous Farm-type Selection, Endogenous Irrigation, and Spatial Effects in Ricardian Models of Climate Change, European Review of Agricultural Economics, 43(2), 217-235.

9.

Chen, Z., and Haynes, K.E. (2015). Spatial Impact of Transportation Infrastructure: A Spatial Econometric CGE Approach. In: Nijkamp P, Rose A and Kourtit K (ed.) Regional Science Matters – Studies dedicated to Walter Isard. Springer International Publishing, Switzerland, 163-186.

10.

Colby, B.G., Crandall, K., Bush, D.B. (1993). Water right transactions: Market values and price dispersion. Water Resources Research, 29, 1565-1572.

11.

Comola, M., and Prina, S. (2020). Treatment Effect Accounting for Network Changes. Review of Economics and Statistics, in press.

12.

Costinot, A., Donaldson, D., and Smith, C. (2016). Evolving Comparative Advantage and the Impact of Climate Change in Agricultural Markets: Evidence from 1.7 Million Fields around the World. Journal of Political Economy, 124(1), 205–248.

13.

Dall'erba, S., and Domínguez, F. (2016). The Impact of Climate Change on Agriculture in the Southwestern United States: The Ricardian Approach Revisited. Spatial Economic Analysis, 11(1), 46-66.

14.

Dall’erba, S., Chen, Z., Nava, NJ. (2021a) US Interstate Trade Will Mitigate the Negative Impact of Climate Change on Crop Profit, American Journal of Agricultural Economics, 103(5), 1720-1741.

15.

Dall’erba, S., Chagas, A., Ridley, W., Xu, Y. & Yuan, L. (2021b) Instrumental Variable Network Difference-in-Differences (IV-NDID) estimator: model and application, Center for Climate, Regional, Environmental and Trade Economics, Discussion Paper 1-21, University of Illinois at Urbana-Champaign.

16.

Dall’erba, S., Robles, E., and Garduno-Rivera, R. (2021c) The Impact of Weather on Agricultural Profit and Land Value: Evidence from 450 Estimates, Work in progress.

17.

Dallman, I. (2019). Weather Variations and International Trade. Environmental and Resource Economics 72, 155–206.

18.

Deschênes, O., and Greenstone, M. (2007). The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather, The American Economic Review, 97(1), 354–385.

19.

Easterling, W.E. (1996). Adapting North American agriculture to climate change in review. Agricultural and Forest Meteorology 80, 1-53.

20.

Eliste, P., and Fredriksson, P.G. (2004). Does Trade Liberalization Cause a Race-to-the-Bottom in Environmental Policies? A Spatial Econometric Analysis. In: Anselin L, Florax R and Rey SJ (ed) Advances in Spatial Econometrics: Methodology, Tools and Applications. Springer Berlin Heidelberg, Berlin, 383-396.

21.

Ezcuerra, R., Iraizoz, B., Pascual, P., and Rapún, M. (2008) Spatial disparities in the European agriculture: a regional analysis, Applied Economics, 40(13), 1669-1684.

22.

Fezzi, C., and Bateman, I. (2012). Non-linear effects and aggregation bias in Ricardian models of climate change (No. 2012-02). CSERGE working paper.

23.

Foran, P.G., Beecher, J.A., and Wilson, L.J. (1995). Survey of Eastern Water Law. Illinois Department of Natural Resources, Springfield, Illinois.

24.

Garfin, G., Jardine, A., Merideth, R., Black, M., and LeRoy, S. (2013). Assessment of Climate Change in the Southwest. United States: A Report Prepared for the National Climate Assessment, A report by the Southwest Climate Alliance, Washington, DC, Island Press.

25.

Ghimire, N., and Griffin, R.C. (2014). The Water Transfer Effects of Alternative Irrigation Institutions. American Journal of Agricultural Economics 96, 970-990.

26.

Gichuki, F.N. (2004). Managing the externalities of declining dry season river flow: A case study from the Ewaso Ngiro North River Basin, Kenya. Water Resources Research 40, W08S03.

27.

Jones, B. F., and Olken, B. A. (2010). Climate Shocks and Exports, American Economic Review 100(2), 454–459.

28.

Jaffe, A., Trajtenberg, M., and Henderson, R. (1993). Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations. The Quarterly Journal of Economics, 108(3), 577-598.

29.

Kang, D., and Dall’erba, S. (2015). An Examination of the Role of Local and Distant Knowledge Spillovers on the U.S. Regional Knowledge Creation, International Regional Science Review, 39(4), 355-385

30.

Kapoor, M., Kelejian, H.H., and Prucha, I.R. (2007). Panel data models with spatially correlated error components. Journal of econometrics, 140(1), 97-130.

31.

Kelejian, H.H., and I.R. Prucha. (2010). Specification and Estimation of Spatial Autoregressive Models With Autoregressive and Heteroskedastic Disturbances. Journal of Econometrics, 157(1), 53–67.

32.

Kumar, K. (2011). Climate Sensitivity of Indian Agriculture: Do Spatial Effects Matter? Cambridge Journal of Regions, Economy and Society, 4(2), 221-235.

33.

Le Sage, J., and Pace, K. (2009). Introduction to Spatial Econometrics, Taylor and Francis/CRC.

34.

Lippert, C., Krimly, T., and Aurbacher, J. (2009). A Ricardian Analysis of the Impact of Climate Change on Agriculture in Germany, Climatic Change, 97, 593–610.

35.

Massetti, E., and Mendelsohn, R. (2011). Estimating Ricardian models with panel data. Climate Change Economics, 2(04), 301-319.

36.

McCunn, A., and Huffman, W.E. (2000). Convergence in US productivity growth for agriculture: implications of interstate research spillovers for funding agricultural research. American Journal of Agricultural Economics, 82(2), 370-388.

37.

Mendelsohn, R., Nordhaus, W.D., and Shaw, D. (1994). The Impact of Global Warming on Agriculture: A Ricardian Analysis. The American Economic Review 84, 753-771.

38.

Mdndelsohn, R. (2014). The Impact of Climate Change on Agriculture in Asia. Journal of Integrative Agriculture 13(4), 660-665.

39.

Miao, R., Khanna, M., and Huang, H. (2016). Responsiveness of Yield and Acreage to Climate and Prices, American Journal of Agricultural Economics, 98(1): 191-211.

40.

Munshi, K. (2004). Social Learning in a Heterogeneous Population: Technology Diffusion in the Indian Green Revolution, Journal of Development Economics, 73(1), 185–213.

41.

Peterson, E., and Hoef, J.V. (2010). A mixed-model moving-average approach to geostatistical modeling in stream networks. Ecology Law Quarterly 91, 644-651.

42.

Peterson, E., Ver Hoef, J. (2014). STARS: An ArcGIS Toolset Used to Calculate the Spatial Information Needed to Fit Spatial Statistical Models to Stream Network Data. 2014(56), 17.

43.

Peterson, E.E., Theobald, D.M., and VER HOEF, J. (2007). Geostatistical modelling on stream networks: developing valid covariance matrices based on hydrologic distance and stream flow. Freshwater Biology 52, 267-279.

44.

Pfeiffer, L., and Lin, C.Y.C. (2012). Groundwater pumping and spatial externalities in agriculture. Journal of Environmental Economics and Management 64, 16-30.

45.

Plantinga, A.J., Lubowski, R.N., and Stavins, R.N. (2002). The effects of potential land development on agricultural land prices. Journal of Urban Economics, 52(3), 561-581.

46.

Polsky, C. (2004). Putting space and time in Ricardian climate change impact studies: agriculture in the U.S. great plains, 1969-1992, Annals of the Association of American Geographers, 94(3), 549-564.

47.

Provencher, B., and Burt, O. (1993). The externalities associated with the common property exploitation of groundwater. Journal of Environmental Economics and Management, 24(2), 139-158.

48.

Reilly, J., and Hohmann, N. (1993) Climate Change and Agriculture: the Role of International Trade, The American Economic Review, 83, 2, 306-312.

49.

Schimmelpfennig, D., Lewandrowski, J., Reilly, J., Tsigas, M., and Parry, I. (1996). Agricultural Adaptation to Climate Change: Issues of Long Range Sustainability, Agricultural Economic Report, No. (AER740) 68.

50.

Schlenker, W., Hanemann, W. M., and Fisher, A.C. (2005). Will U.S. Agriculture really benefit from global warming? Accounting for irrigation in the hedonic approach. American Economic Review 95, 395-406.

51.

Schlenker W., Hanemann W.M., and Fisher A.C. (2006). The Impact of Global Warming on U.S. Agriculture: an Econometric Analysis of Optimal Growing Conditions, Review of Economics and Statistics, 88(1), 113–125.

52.

Seo S.N. (2008) Assessing Relative Performance of Econometric Models in Measuring the Impact of Climate Change on Agriculture Using Spatial Autoregression, The Review of Regional Studies, 38(2), 195–209.

53.

STATSGO2, USDA’s General Soil Map, retrieved on 2/15/2017, available from https://catalog.data.gov/dataset/u-s-general-soil-map-statsgo2.

54.

Tang, J., Folmer, H., van der Vlist, A.J., and Xue, J. (2014). The impacts of management reform on irrigation water use efficiency in the Guanzhong plain, China. Papers in Regional Science 93, 455-475.

55.

USDA (2012). 2012 Census Publications: Ranking of market Value of Ag Products Sold, in: Census of Agriculture (Ed.), USDA National Agricultural Statistics Service.

56.

Van der Velde, M., Wriedt, G., and Bouraoui, F. (2010). Estimating irrigation use and effects on maize yield during the 2003 heatwave in France. Agriculture, Ecosystems & Environment 135, 90-97.

57.

Wang, J., Huang, J., and Yang, J. (2014) Overview of Impacts of Climate Change and Adaptation in China’s Agriculture. Journal of Integrative Agriculture 13(1), 1-17.

58.

Wichelns, D. (2010). Agricultural water pricing: United States, Hanover College, Indiana, United States, OECD Joint Working.

59.

Wollmuth, J.C., and Eheart, J.W. (2000). Surface water withdrawal allocation and trading system for traditionally riparian areas. Journal of the American Water Resources Association 36, 293-303.

60.

Zhang, Z., Yang, H., and Shi, M. (2011). Analyses of water footprint of Beijing in an interregional input–output framework. Ecological Economics 70, 2494-2502.

61.

Zhang, Y., Susan, M., Nearing, M., Ponce Campos, G., Huete, A., Buda, A., Bosch, D., Gunter, S., Kitchen, S., Henry McNab, W., Morgan, J., McClaran, M., Montoya, D., Peters, D. & Starks, P. (2013) Extreme precipitation patterns and reductions of terrestrial ecosystem production across biomes, Journal of Geophysical Research: Biogeosciences, 118(1), 148–157.

Asian Journal of Innovation and Policy