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Rural Development Through Input–Output Modeling

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Advances in Modeling Agricultural Systems

Abstract

Input–output (I-O) models developed in the late 1930s and ever since have been applied extensively. Though the contribution of I-O models in depicting economic transactions was recognized early on, computational constraints have limited their use. This is mainly because of huge data requirements, difficulties in computational handling, and lack of software developed and adjusted for I-O analysis. Today, I-O analysis can be applied extensively in regional and local economies and can provide valuable information on growth and investment priorities, sectoral interrelationships, and policy impacts. I-O analysis has been employed in research on both agriculture and rural development to evaluate the importance of agricultural activities, the interdependence among agriculture and the rest of the economy, the intensity of the rate of growth, and the impacts of policy interventions.

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Notes

  1. 1.

    Schaffer [44] refers some sources of models used in impact analysis (IMPLAN, RIMS, etc.). See also the works of Johnson and Otto [21] and Jordan and Brooks [22].

  2. 2.

    The analysis for Anatoliki Makedonia and Thraki region was taken as example in the present study, from a previous work of Mattas et al. [26], in which can be found more details; moreover, analysis of the tobacco sector in Greece can be found in Mattas et al. [25].

  3. 3.

    The mathematical presentation of the simple Leontief model can be found easily in the literature; for a thorough presentation, see [38].

  4. 4.

    Detailed discussion and application of various regionalization techniques, including GRIT, can be found in Refs. 19, 20, 27, 38, 49.

  5. 5.

    The original proposal of FLQ by Flegg et al. [10] was introduced in 1995. Since then, a dialogue was opened in the literature [3, 8, 9, 10, 11, 31] and the original version was improved and modified to the version appearing in Ref. 8.

  6. 6.

    A detailed description of the procedure for calculating I-O multipliers can be found among others in Refs. 27, 38.

  7. 7.

    The mathematical presentation of the GRIT can be found in Ref. 27, where each step’s equations are described in detail.

  8. 8.

    Employment is the measure used for the calculation of the LQs; it is the most commonly used measure due to its availability.

  9. 9.

    The use of the FLQ was supported above; for a more comprehensive analysis, see Ref. 27.

  10. 10.

    A detailed presentation of the I-O multipliers and linkages can be found in, among others, Refs. 27 and 38.

  11. 11.

    For more details about the mathematical programming model and the results, see Ref. 26.

  12. 12.

    As mentioned, the mathematical presentation of the GRIT technique and the calculation of the relevant linkage coefficients can be found in Ref. 41.

References

  1. Augustinovics M. (1970). Methods of international and intertemporal measures of structures. In: Carter A. P. and Brody A. (eds.), Contributions to Input-Output Analysis. Amsterdam: North Holland.

    Google Scholar 

  2. Bairak R. and D. Hughes (1996). Evaluating the impacts of agricultural exports on a regional economy. Journal of Agricultural and Applied Economics. 28: 393–407.

    Google Scholar 

  3. Brand S. (1997). On the appropriate use of location quotients in generating regional input-output tables: a comment. Regional Studies. 31: 79–94.

    Article  MathSciNet  Google Scholar 

  4. Chenery H. B. and T. Watanabe (1958). International comparisons of the structure of production. Econometrica. 26: 487–521.

    Article  Google Scholar 

  5. Dewahurst J. H. (1992). Using RAS technique as a test of hybrid methods of regional input-output table updating. Regional Studies. 26: 81–91.

    Article  Google Scholar 

  6. Dietzenbacher E. and J. A. Van der Linden (1997). Sectoral and spatial linkages in the ec production structure. Journal of Regional Science. 37: 235–257.

    Article  Google Scholar 

  7. Doyle C., M. Mithcell and Topp K. (1997). Effectiveness of farm policies on social and economic development in rural areas. European Review of Agricultural Economics. 24: 530–546.

    Google Scholar 

  8. Flegg T. A., and C. D. Webber (2000). Regional Size, regional specialization and the FLQ formula. Regional Studies. 34: 563–569.

    Article  Google Scholar 

  9. Flegg T. A. and C. D. Webber (1996). Using location quotients to estimate regional input-output coefficients and multipliers. Local Econ. Quart 4: 58–86.

    Google Scholar 

  10. Flegg T. A. and C. D. Webber (1996). The FLQ formula for generating regional input-output tables: an application and reformation. Working Papers in Economics, 17, University of the West of England, Bristol.

    Google Scholar 

  11. Flegg T. A. and C. D. Webber (1997). On the appropriate use of location quotients in generating regional input-output tables: Reply. Regional Studies 31: 795–805.

    Article  Google Scholar 

  12. Flegg, T. A., C. D. Webber and M. V. Elliot (1995). On the appropriate use of location quotients in generating regional input-output tables. Regional Studies. 29: 547–561.

    Article  Google Scholar 

  13. Harrison-Mayfield L. (1993). The impact of the agricultural industry on the rural economy tracking the spatial distribution of the farm inputs and outputs. Journal of Rural Studies 9: 81–88.

    Article  Google Scholar 

  14. Harrison-Mayfield L. (1996). Agriculture’s links with the rural economy: an input-output approach. In Midmore P. and Harrison-Mayfield L. (eds.), Rural Economic Modeling: An Input-Output Approach Wallingford: CAB International.

    Google Scholar 

  15. Heimler A. (1991). Linkages and vertical integration in the Chinese economy. Review of Economics and Statistics. 69: 261–267.

    Article  Google Scholar 

  16. Hirschman A. O. (1958). The Strategy of Economic Development. New Haven: Yale University Press.

    Google Scholar 

  17. Hughes D. (2003). Policy uses of economic multiplier and impact analysis. Choices. Second quarter: 25–29.

    Google Scholar 

  18. Hughes D. and V. Litz (1996). Rural-urban economic linkages for agriculture and food processing in the Munroe, Louisiana, functional economic area. Journal of Agricultural and Applied Economics. 28: 337–355.

    Google Scholar 

  19. Jensen, R. C., T. D. Mandeville and N. D. Karunaratne (1979). Regional Economic Planning: Generation of Regional Input-Output Analysis. London: Croom Helm.

    Google Scholar 

  20. Johns, P. M. and P. M. K. Leat (1987). The application of modified GRIT input-output procedures to rural development analysis in Grampian region. Journal of Agricultural Economics. 38: 245–256.

    Article  Google Scholar 

  21. Johnson T. G. and D. M. Otto. (1993). Microcomputer-Based Input-Output Modeling: Applications to Economic Development. Westview Press.

    Google Scholar 

  22. Jordan J. L. and R. Brooks (1984). IO/EAM: an input-output economic assessment model. Southern Journal of Agricultural Economics. 16: 145–149.

    Google Scholar 

  23. Leones J., G. Schulter and G. Goldman (1994). Redefining agriculture in interindustry analysis. American Journal of Agricultural Economics. 76: 1123–1129.

    Article  Google Scholar 

  24. Mattas, K. (2005). Measuring policy impacts on rural regions. New Medit, (Editorial), 4: 2.

    Google Scholar 

  25. Mattas, K., C. Fotopoulos, V. Tzouvelekas, S. Loizou and K. Polymeros (1999). The dynamics of crop sectors in regional development: the case of tobacco. International Advances in Economic Research. 5: 255–268.

    Article  Google Scholar 

  26. Mattas K., E. Loizou, S. Rozakis and V. Tzouvelekas (2006a). Agricultural modelling: an input-output approach. In: Ferretti F. (eds.), Leaves and Cigarettes: Modelling The Tobacco Industry: With Applications to Italy and Greece. Franco Angeli.

    Google Scholar 

  27. Mattas K., S. Loizou, V. Tzouvelekas, M. Tsakiri and Bonfiglio A. (2006b). Deriving regional I-O tables and multipliers. In: Bonfiglio A., Esposti R. and Sotte F. (eds.), Rural Balkans and EU Integration: An Input-Output Approach. Franco Angeli.

    Google Scholar 

  28. Mattas K. and A. Pagoulatos (1990). Determining differential sectoral impacts of investments. European Review of Agricultural Economics. 17: 495–502.

    Article  Google Scholar 

  29. Mattas K. and C. Shrestha (1989). The food sector and economic growth. Food Policy. 14: 67–72.

    Article  Google Scholar 

  30. Mattas K. and C. Shrestha (1991). A new approach to determining sectoral priorities in an economy: input-output elasticities. Applied Economics. 23: 247–254.

    Article  Google Scholar 

  31. McCann P. and J. Dewhurst (1998). Regional size, industrial location and input-output expenditure coefficients. Regional Studies. 32: 435–444.

    Article  Google Scholar 

  32. Midmore P. (1991). Input-output and agriculture: a review. In: Midmore P. (eds.), Input-Output Models in the Agricultural Sector. Aldershot: Gower: 1–20.

    Google Scholar 

  33. Midmore P. (1993). Input-output forecasting of regional agricultural policy impacts. Journal of Agricultural Economics. 44: 284–300.

    Article  Google Scholar 

  34. Midmore P. and L. Harrison-Mayfield (1996). Rural Economic Modeling: An Input-Output Approach. Wallingford: CAB International.

    Google Scholar 

  35. Midmore P. and L. Harrison-Mayfield (1996). Rural economic modeling: multi-sectoral approaches. In: Midmore P. and Harrison-Mayfield L. (eds.), Rural Economic Modeling: An Input-Output Approach. Wallingford: CAB International.

    Google Scholar 

  36. Midmore P., R. Medcalfe and L. Harrisson-Mayfield (1997). Regional input-output analysis and agriculture. Cahiers d’Economie et Sociologie Rurales. 42–43: 8–31.

    Google Scholar 

  37. Midmore P., M. Munday and A. Roberts (2006). Assessing industry linkages using regional input–output tables. Regional Studies. 40: 329–343.

    Article  Google Scholar 

  38. Miller R. E. and P. D. Blair (1985). Input-Output Analysis: Foundations and Extensions. Prentice Hall, Englewood Cliffs, NJ.

    MATH  Google Scholar 

  39. Oosterhaven J. and D. Stelder (2002). Net multipliers avoid exaggerating impacts: with a bi-regional illustration for the Dutch transportation sector. Journal of Regional Science. 42: 533–543.

    Article  Google Scholar 

  40. Papadas C. and D. Dahl (1999). Supply-Driven input-output multipliers. Journal of Agricultural Economics. 50: 269–285.

    Article  Google Scholar 

  41. Pasinetti L. (1973). The notion of vertical integration in economic analysis. Metroeconomics. 25: 1–29.

    Article  MathSciNet  MATH  Google Scholar 

  42. Rasmussen P. N. (1956). Studies in Intersectoral Relations. Amsterdam: North-Holland.

    Google Scholar 

  43. Roberts D. (1994). A modified Leontief model for analyzing the impact of milk quotas on the wider economy. Journal of Agricultural Economics. 45: 90–101.

    Article  Google Scholar 

  44. Schaffer W. (1999). Regional impact models. In: Loveridge, S. (ed.), The Web Book of Regional Science. Morgantown, WV: Regional Research Institute, West Virginia University. Available at www.rri.wvu.edu/regscweb.htm.

  45. Sharma K., P. Leung and S. Nakamoto (1999). Accounting for the linkages of agriculture in Hawaii’s economy with an Input-Output model: a final demand-based approach. The Annals of Regional Science. 33: 123–140.

    Article  Google Scholar 

  46. Skolka J. (1986). Input-output multipliers and linkages. 8th International Conference on Input-Output Techniques, Sapporo, Japan, July 28 to August 2.

    Google Scholar 

  47. Sraffa P. (1960). Production of Commodities by Means of Consumption. Cambridge: Cambridge University Press.

    Google Scholar 

  48. Tiller K., B. English and J. Menard (2004). Tobacco buyout legislation: economic impacts in the Southeast. Paper presented at the Southern Agricultural Economics Association (SAEA), Tulsa, Oklahoma, February 17, 2004.

    Google Scholar 

  49. Tzouvelekas V. and K. Mattas (1999). Tourism and agro-food as a growth stimulus to a rural economy: the Mediterranean island of Crete. Journal of Applied Input-Output Analysis. 5: 69–81.

    Google Scholar 

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Correspondence to Konstadinos Mattas .

Appendix: The Code of the GAUSS Computer Package

Appendix: The Code of the GAUSS Computer Package

/* Gauss program for regionalizing the National I-O table for Anatoliki Makedonia and Thraki region (1998, 34 sectors), using the GRIT technique, and estimating the I-O multipliers *//* PHASE 1: LOAD BASIC TABLES AND DATA IN TXT FORMAT *//*format /mat /on /mb1 /ros 16,8;*/format /rds 12,5;outwidth 240;m=34;/* set the dimension (number of sectors) in the national transactions table */n=3;/* set the dimension (number of categories) of the final demand and final payments matrix */loadm TrNt[ ]=c:\gauss\kapnos\reg\TrNt.txt; TrNt=reshape(TrNt,m,m);  /* LoadNational Transactions Matrix mxm*/loadm FDNt[ ]=c:\gauss\kapnos\reg\FDNt.txt; FDNt=reshape(FDNt,m,n);  /* Load National Final Demand Matrix mxn */loadm FPNt[ ]=c:\gauss\kapnos\reg\PrdnNt.txt;FPNt=reshape(FPNt,m,n);/* Load National Final Payments Matrix for Greece mxn */ loadm EmpNt[ ]=c:\gauss\kapnos\reg\EmpNt.txt; PrdnNt=reshape(PrdnNt,m,1);   /* Load National Sectoral Output mx1 */loadm EmpNt[ ]=c:\gauss\kapnos\reg\EmpNt.txt;  EmpNt=reshape(EmpNt,m,1);   /* Load National Employment Vector m sectors */loadm EmpRg[]=c:\gauss\kapnos\reg\EmpRg.txt;  EmpRg=reshape(EmpRg,m,1);   /* Load Regional Employment Vector m sectors */ /* PHASE 2: COMPUTATION OF THE LOCATION QUOTIENTS */ /* Step 2.1: Computation of the Employment-Based CILQ Type (the FLQ) */EmpRatio=EmpRg./EmpNt;C1=reshape(Empratio',m,m);CILQ0=(EmpRatio./C1)*0.34181; /* CILQ Matrix before adjustment*//* Replace the values of CILQ which are greater than 1 with 1 */CILQ=zeros(m,m);    i=0;     do while i<m;     i=i+1;    j=0;     do while j<m;      j=j+1;       if CILQ0[i,j]>1;         CILQ[i,j]=1;        else;        CILQ[i,j]=CILQ0[i,j];      endif;   endo;endo;/* Step 2.2: Estimation of the Employment-Based SLQ */SL0=(EmpRg./sumc(EmpRg))./(EmpNt./Sumc(EmpNt));SL1=reshape(SL0,m,m);SLF=zeros(m,m);     i=0;     do while i<m;     i=i+1;    j=0;     do while j<m;    j=j+1;     if SL1[i,j]>1;        SLF[i,j]= 1;     else;     SLF[i,j]=SL1[i,j];    endif;  endo;endo; /* PHASE 3: APPLICATION OF THE GRIT TECHNIQUE STEPS */ /* Step 3.1: Sectoral Aggregation (No Need for Aggregation in the Current Study)*/ /* Step 3.2: Reallocation of International Trade */TrNt1=TrNt[8:25,.];/* Partitioned Transactions with Secondary Sectors */d1=ones(1,rows(TrNt1))*TrNt1;/*primary sectors (1-7), sec(8-25), ter (26-34)*/d2=d1+FpNt[.,2]';TrNt2=TrNt1*diagrv(zeros(m,m),d2)*inv(diagrv(zeros(m,m),d1));/* National Transactions SubMatrix Adjusted for International Trade (mxn) */TrNt3=TrNt[1:7,.]|TrNt2|TrNt[26:34,.];/* National Transactions Matrix Adjusted for International Trade (nxn) *//* Step 3.3: Computation of the National Matrices (There Are No Nonexistent Sectors) */DRMNt=(TrNt3)*inv((diagrv((zeros(m,m)),(PrdnNt))));/*National Direct Requirements Matrix mxm *//* Step 3.4: Computation of Regional Matrices */DRMRg=CILQ.*DRMNt;/* Regional Direct Requirements Matrix mxm */ImpRgCf1=(sumc(drmnt-drmrg));/*Regional Imports Coefficients vector adjusted for CILQ mx1*/Print; print "Direct Requirements Regional for AMT"; print DRMRg;/* Step 3.5: Sectoral Aggregation – Definition of the Regional Classification Scheme*/C3=eye(m);C4=C3-DRMRg;LEONTIEFRg=inv(C4);/* Regional Leontief Inverse Matrix mxm */PrdnRg=(PrdnNt).*(EmpRg./EmpNt);/* Regional Sectoral Output mx1 */TransRg=DRMRg*diagrv(zeros(m,m),PrdnRg);/* Regional Transactions Matrix */ImpRgf=ImpRgCf1.*PrdnRg;/* Regional Imports Vector mx1, from coefficients to values */Print; print "Leontief Regional for AMT"; print LEONTIEFRg;Print; print "Regional Sectoral Output"; print PrdnRg;format /rds 14,3;Print; print "Regional Transactions Matrix for AMT"; print TransRg;/* Step 3.6: Computation of the Complete Regional Input–Output Table */ /*Final Demand and Primary Inputs Computation */ /* Regionalization of the Household Income Using Employment Ratios and an Employment-Based SLQ */SLQH0=(Emprg./sumc(EmpRg))./(EmpNt./sumc(EmpNt));r0=(EMPRg)./(EMPNt); r1=FpNt;SLQHd=zeros(m,1); i=0;  do while i<m;  i=i+1;    if SLQH0[i,1]>1;    SLQHd[i,1]= r0[i,1] ; else;   SLQHd[i,1]=r0[i,1]*SLQH0[i,1]; endif;endo;HousRg=r1[.,1].*SLQHd;/* Regional Household Income Vector mx1 */IPRg=(ones(1,m))*TransRg;/* Regional Sectoral Intermediate Purchases 1xm */OPRg=PrdnRg-sumc(TransRg)-HousRg-ImpRgf;/* Regional Other Payments Vector mx1 */FpRg=HousRg+ImpRGf+OPRg;/* Regional Final Payments mx3 *//*PrdnRg-(OPRg+HousRg+ImpRGf+IPRg'); */Print; print "Regional Final Payments for AMT"; print FpRg;ISRg=sumc(TransRg ′);/* Regional Sectoral Intermediate Sales kx1 */FDi=PrdnRg-ISRg;format /rds 16,5;/* Regionalization of Private Consumption Vector Using Employment Ratios and an Employment-Based SLQ */SLQF0=(EmpRg./sumc(EmpRg))./(EmpNt./sumc(EmpNt));r3=(EmpRg)./(EmpNt); r2=FdNt;SLQC=zeros(m,1);  i=0;   do while i<m;    i=i+1;    if SLQF0[i,1]>1;    SLQC[i,1]= r3[i,1] ;   else;    SLQC[i,1]=r3[i,1]*SLQF0[i,1];   endif;endo;ConsRg=r2[.,1].*SLQC;/* Regional Sectoral Private Consumption kx1 *//* Regionalization of Exports Vector Using Employment Ratios and anEmployment-Based SLQ */SLQE=zeros(m,1); i=0;  do while i<m;  i=i+1;   if SLQF0[i,1]>1;      SLQE[i,1]= r3[i,1] ;    else;      SLQE[i,1]=0;   endif;endo;ExpRg=r2[.,2].*SLQE;/* Regional Sectoral Exports kx1 */OFDRg=PrdnRg-ISRg-ExpRg-ConsRg;/* Regional Other Final Demand kx1 */FDRg=ConsRg+ExpRg+OFDRg;/* Regional Final Demand kx3 */Print; print "Regional Final Demand for AMT"; print FDRg;" Regional Final Demand ";?;" Int Sales Consumption Exports Other FD Output ";ISRg˜ConsRg˜ExpRg˜OFDRg˜PrdnRg;?;?;" Regional Final Payments ";?;" Int Purchases Households Imports  Other FP Output ";IPRg ′˜HousRg˜ImpRGf˜OPRg˜PrdnRg; /* PHASE 4: COMPUTATION OF THE I-O MULTIPLIERS */b1=ones(1,m);FDShare=FDRg/sumc(FDRg);FPShare=FPRg/sumc(FPRg);SecId=seqa(1,1,m);/* Step 4.1: Chenery and Watanabe Linkage Indices (or Direct Coefficients) */CH1=B1*DRMRg;  /* Output Backward linkages */CH2=DRMRg*B1';  /* Output Forward Linkages */print;print"Chenery and Watanabe Linkages";print; print" Sector Backward Forward";print SecId˜CH1′˜CH2;print "Total " OCH1˜OCH2;/* Step 4.2: Rasmussen and Hirschman Linkage Indices (or I-O Multipliers)*/B2=B1*LeontiefRg;/* Output Backward linkages or OUTPUT MULTIPLIERS */B4=HousRg./PrdnRg;/* Income technical coefficients or DIRECT INCOME EFFECT */B5=B4′*LeontiefRg;/* Simple Income Multiplier or TOTAL INCOME EFFECTS */B6=B5′./B4;/* TYPE I INCOME MULTIPLIERS */B7=EmpRg./PrdnRg;/* Employment technical coefficients or DIRECT EMPLOYMENT EFFECT */B8=B7′*LeontiefRg;/* Simple Employment Multiplier or TOTAL EMPLOYMENT EFFECTS */B9=B8′./B7;/* TYPE I EMPLOYMENT MULTIPLIERS */B3=LeontiefRg*B1';/* Output Forward Linkages */B10=LeontiefRg*B4;/* Income Forward Linkages */B11=LeontiefRg*B7;/* Employment Forward Linkages */?;print;print"Rasmussen and Hirschman Linkages";print; print"Backward";print;print" Sector Output Income Employment Type I Income Type I Employment";print SecId˜B2′˜B5′˜B8′˜B6˜B9;print " Type I     " OB2˜OB5˜OB8˜OB6˜OB9;print; print "direct effects";print; print "B4 Direct Income Effect, B7 Direct Employment Effect";print SecId˜B4˜B7;?;print; print"Forward";print; print" Sector Output Income Employment ";print SecId˜B3˜B10˜B11;print " Type I     " OB3˜OB10˜OB11;CLOSEALL;END;

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Mattas, K., Loizou, E., Tzouvelekas, V. (2009). Rural Development Through Input–Output Modeling. In: Advances in Modeling Agricultural Systems. Springer Optimization and Its Applications, vol 25. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75181-8_13

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