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Aspects of governance and agricultural expansion in tropical Latin America: Jevons
paradox or sustainable intensification? Graziano Ceddia – MU ViennaSabine Sedlacek – MU Vienna
Nicholas Bardsley – University of ReadingSergio Gomez y Paloma – EC JRC IPTS Seville
Outline
Deforestation Trends
Drivers of Deforestation
Agricultural Productivity & Deforestation
The Quality of Governance & Deforestation
The Jevons Paradox
Research, Data & Methods
Results
Conclusions2© 2011 MODUL University Vienna
Deforestation Trends
Subregion
Area (1000 ha) Annual change rate (%)
1990 2000 2010 1990-2000
2000-2010
Caribbean
5,901 6,433 6,932 0.87 0.75
Central America
25,717 21,980 19,499 -1.56 -1.19
South America
946,454 904,322 864,351 -0.45 -0.45
Total Latin America
978,072 932,735 890,782 -0.47 -0.46
World 4,168,399
4,085,063
4,032,905
-0.20 -0.133© 2011 MODUL University Vienna
Source: State of the World‘s Forest Resources 2011 (FAO)
Drivers of Deforestation
Indirect drivers Direct drivers
4© 2011 MODUL University Vienna
Source: Millennium Ecosystem Assessment
Agricultural productivity & Deforestation
World population is expected to reach 9 billion by 2050 Food security requires to increase crop production, without
compromising the environment
Over the past 40 years most of the increase in agricultural output has come from increased yield rather than land expansion (FAO) Wheat yields: +208% Corn yields: +157% Rice yields: + 108%
Yield increase has been associated to both agricultural expansion (Jevons paradox) and contraction (land-sparing)
5© 2011 MODUL University Vienna
The Quality of Governance & Deforestation Institutional aspects and the quality of governance
can play a significant role in explaining agricultural expansion and deforestation
Broad governance: measures of the effectiveness of the state to enforce property rights, administer the law etc. Empirically the effect of better governance remain
ambiguous
Environmental governance: measures the effectiveness of the state to protect the environment Empirically better environmental governance appears to
slow down agricultural expansion
6© 2011 MODUL University Vienna
What's a Jevons Paradox anyway?
Agricultural intensification would require a smaller area to produce the food necessary to feed the world population… ...distributional issues are neglected and... Jevons paradoxes are ignored!
"It is wholly a confusion of ideas to suppose that economical use of fuel is equivalent to a diminished consumption. The very
contrary is the truth" (Jevons, 1866 p. 123)
7© 2011 MODUL University Vienna
Research question, Data & Methods
We hypothesize that occurrence of land-sparing vs. Jevons paradox, critically depends on the interaction between the quality of governance and agricultural intensification
We also control for a number of socio-economic factors Agricultural trade Service on external debt Per-capita GDP Population
8© 2011 MODUL University Vienna
Research question, Data & Methods
FAO and World Bank data for 6 Southern American countries (Bolivia, Brazil, Colombia, Paraguay, Peru and Venezuela) over the period 1970-2006
Broad governance indicators provided by the World Bank over the period 1996-2006: Corruption Control Rule of Law Accountability
Environmental governance indicators: % of the land area under environmental protection, 1990-2006
(WDPA) Environmental Sustainability Index, 2005 (YCELP) Environmental Performance Index, 2000-2006 (YCELP)
9© 2011 MODUL University Vienna
Research question and Data Set
10© 2011 MODUL University Vienna
11© 2011 MODUL University Vienna
Variables Model 1(GOV=CORC)
Model 2(GOV=ROL)
Model 3(GOV=ACC)
Log(AOHA) -0.711***(0.171)
-1.212***(0.163)
-0.971***(0.108)
Log2(AOHA) 0.073***(0.019)
0.149***(0.019)
0.102***(0.011)
Log(POP) 1.406**(0.453)
1.568***(0.381)
3.358***(0.327)
Log2(POP) 0.006(0.016)
-0.0003(0.014)
-0.068***(0.011)
Log(GDPC) 49.804***(7.316)
30.104***(6.904)
4.990(5.754)
Log2(GDPC) -6.596***(0.965)
-3.988***(0.911)
-0.626(0.761)
Log3(GDPC) 0.290***(0.042)
0.175***(0.040)
0.026(0.033)
Log(EX) 0.066(0.044)
0.099*(0.038)
0.054a
(0.028)
Log2(EX) -0.004(0.006)
-0.009a
(0.005)-0.006(0.004)
Log(PEDS) -0.119§
(0.065)-0.157**(0.055)
-0.142***(0.041)
Log2(PEDS) 0.003(0.016)
0.003(0.014)
0.001(0.010)
Log(AVA) -0.029(0.048)
-0.048(0.042)
-0.081*(0.032)
Log(PEDS)×Log(AVA) 0.054**(0.019)
0.067***(0.016)
0.059***(0.012)
GOV×AOHA 0.001***(0.0004)
0.003***(0.0003)
0.004***(0.0003)
Constant -137.592***(17.849)
-88.260***(16.863)
-37.207**(13.690)
12© 2011 MODUL University Vienna
Variables Model 4(GOV=PA)
Model 5(GOV=ESI)
Model 6(GOV=EPI)
Log(AOHA) -0.709***(0.154)
-1.780***(0.309)
-1.308***(0.192)
Log2(AOHA) 0.070***(0.016)
0.246***(0.047)
0.168***(0.025)
Log(POP) 0.339(0.410)
0.276(0.426)
0.198(0.400)
Log2(POP) 0.036*(0.016)
-0.009(0.015)
0.026a
(0.015)Log(GDPC) 42.825***
(7.139)47.461***(7.172)
38.492***(7.062)
Log2(GDPC) -5.680***(0.941)
-6.314***(0.944)
-5.115***(0.931)
Log3(GDPC) 0.249***(0.041)
0.278***(0.041)
0.225***(0.041)
Log(EX) 0.082a
(0.042)0.069(0.043)
0.083*(0.040)
Log2(EX) -0.005(0.006)
-0.004(0.006)
-0.006(0.006)
Log(PEDS) -0.123*(0.060)
-0.050(0.060)
-0.100a
(0.058)Log2(PEDS) 0.006
(0.015)-0.002(0.015)
0.006(0.014)
Log(AVA) -0.020(0.046)
-0.009(0.047)
-0.029(0.044)
Log(PEDS)×Log(AVA) 0.052**(0.017)
0.034*(0.017)
0.044**(0.016)
GOV×AOHA -0.00003***(0.000005)
-0.00009***(0.00002)
0.00006***(0.000008)
Constant -110.699***(17.961)
-111.576***(18.824)
-93.523***(18.159)
Results – Broad Governance
13© 2011 MODUL University Vienna
Elasticity of Agricultural Area with respect to Agricultural Intensification (AOHA)
GOV=ROLMaxMeanMin
GOV=CORCMaxMeanMin
Results – Broad Governance
14© 2011 MODUL University Vienna
GOV=ACCMaxMeanMin
Elasticity of Agricultural Area with respect to Agricultural Intensification (AOHA)
Results – Environmental Governance
15© 2011 MODUL University Vienna
Elasticity of Agricultural Area with respect to Agricultural Intensification (AOHA)
GOV=ESIMaxMeanMin
GOV=PAMaxMeanMin
Results – Environmental Governance
16© 2011 MODUL University Vienna
GOV=EPIMaxMeanMin
Elasticity of Agricultural Area with respect to Agricultural Intensification (AOHA)
Additional Results
The elasticity of agricultural land with respect to per-capita GDP is highly non-linear but ultimately positive Economic growth per-se is not a solution to further
agricultural expansion
The elasticity of agricultural land with respect to agricultural export is positive and significant
The elasticity of agricultural land with respect to the service on external debt is positive and significant
The elasticity of agricultural land with respect to population is also positive and significant
17© 2011 MODUL University Vienna
Conclusions
The results indicate that the interaction between the quality of government/governance and agricultural intensification and the type of governance considered are important to understand the occurrence of Jevons paradox or land-sparing
When considering Broad Governance indicators, a Jevons paradox emerges for high governance scores Polanyi and the relationship between the state and the market?
When considering the environmental governance, land-sparing occurs for high scores of the governance indicators
Agricultural intensification may be necessary to achieve food security, but one must pay attention to its possible interactions with other policies aiming at improving governance/government The introduction of a cap on agricultural land and/or strengthening
environmental protection measures could be more effective
18© 2011 MODUL University Vienna
Future Research
The results provide interesting hypothesis.... How does governance quality actually interacts with
intensification to produce the observed results? How do different aspect of governance actually shape
agricultural expansion/contraction? How does inequality in the distrubution of
land/assets/wealth affect such patterns? What is the effect of different land tenure systems?
To answer such questions further research, which incorporates also significant case studies, is needed!
19© 2011 MODUL University Vienna
Thank you!
20© 2011 MODUL University Vienna