THE IMPACT OF CLIMATE CHANGE ON PRICE OF AGRICULTURE PRODUCT AND ITS IMPLICATION ON THE INDONESIAN ECONOMY: A DYNAMIC GENERAL EQUILIBRIUM ANALYSIS Wawan Hermawan, Sutyastie Soemitro, Arief Anshory Yusuf and Djoni Hartono ABSTRACT Development in Indonesia Economy has been toward the manufacturing sector and the role of agricultural is sometime neglected. Climate change has an effect on the increase in temperature and change in rain precipitation. The effect of these two combine with the increase of international commodity prices have cause adverse effect to agricultural sector as measured by its output. This research is an attempt to analyze the impact of climate change and change in international commodity prices to agricultural prices that includes some trade policy related recommendations. To this end, this research constructs a recursive computable general equilibrium model. 20 sectors including 4 agricultural sectors are used as research data. The model extends its projection capabilities until 2030, when the effect of climate change start to happen in Indonesia. The results of all the simulations show that until the year 2030, the policies of import restrictions on agricultural products exacerbate the negative impact of climate change on welfare if climate change occurs through a reduction in domestic agricultural productivity. Restrictions on imports of agricultural policies reduce the negative impacts of climate change on price and welfare if the effects of climate change through an increase in the prices of agricultural commodities internationally. Keywords: Climate change, CGE, agricultural output, rice, imports of agricultural output. JEL Code: Q17 and Q54, 1 2 Background Agriculture is an economic sector that is vital to the sustainability of human life. This sector provide a biological basis for life and continues to contribute revenue in the agricultural sector. Indonesia as a developing country still relies on agriculture as one of the major sectors contributing to GDP, where the contribution of the agricultural sector to the GDP of Indonesia from 1993 to 2010 ranged at 15% per year and experienced a tendency to continue to fall. Contribution of other sectors, such as industry has increased its contribution to GDP. Agricultural production is highly dependent on the weather in the short term or the long-term climate, where temperatures and rainfall have a major impact to productivity of various agricultural commodities. Climate change which will alter weather patterns, to some extent will affect the level of productivity of the agricultural sector (Adam, 1998). Weather phenomena can not be separated from the issue of climate change. The impact of greenhouse gas increases over the years, have contributed in increasing the temperature of the earth's surface and changing weather patterns. Changes in weather or climate on planet earth would affect changes in the various activities, especially depend directly on the weather rotation. The agricultural sector is a sector that receives direct impact that is very fragile in the face of climate change impacts (Yusuf, 2010). The issue of climate change have drawn the attention of the leaders of the countries in the world. Indonesia has also felt the temperature rise of 0.3 °C from 1900 to 2000 ( Hulme, 2000). The increase of CO2 concentration causes many to be the main cause of greenhouse effect that raises the temperature of the planet's surface (Stern , 2006). Increased CO2 causes climate change impact on changes in rainfall 3 patterns, increased frequency of extreme climate events, as well as the rise in temperature and sea levels are a serious impact of climate change faced by Indonesia (Surmaini & Runtunuwu , 2010) . Indonesia as a country that has a large contribution from the agricultural sector to GDP will not be separated from the effects of global warming. Agricultural sector's contribution to GDP in Indonesia reached 15.34 % in 2010 and a decrease from 1993 of 17.88 % as a result of changes in the structure of the economy from agriculture to industry. The climate change then will increase the price of food crops because of failure of the harvest. This fenomenon will occur in many country and reach in Indonesia. People will feel the impacts of climate change both domestically and from abroad. The increase in population also certainly increase demand for agricultural products, especially on food crops. The gap for the high increase in demand for agricultural products is giving a chance for the import of food stuffs, especially rice as a staple food in Indonesia. On the other hand, Indonesia also impose import tax as a protection for agricultural products even for rice, so the impact of changes in prices and well-being of the people of Indonesia at the discretion of agricultural imports to withstand the impact of climate change becomes an interesting topic in this paper. The usefulness of this study is expected to provide an overview of the impact of climate change on the Indonesian economy especialy price. Changes in household consumption and economic growth are analyzed attempted to determine the direction of the Indonesian economy as a result of climate change. The purpose of the study can be briefly shown as follows: 1). Analyzing the impact of climate change on the agricultural sector and policy import protection to agricultural products and price in Indonesia in 2030. 2) Analyzing the impact of 4 climate change on the international agricultural sector and policy import protection to agricultural products in Indonesia in 2030. 3) Analyzing the impact of climate change both in domestic and international to the agricultural sector and price with policy import protection to agricultural products in Indonesia in 2030. Reference The impact of climate change had been felt in Indonesia. According to the Indonesia Climate Change Sectoral Roadmap (ICCSR) in 2009, showed the effects of climate change are already being felt in Indonesia. Some effects can already indicated is as follows: There has been an increase in temperature of about 0.5 °C during the 20th century. Based on the Global Circulation Model (GCM) temperature in Indonesia is projected to rise between 0.8 - 1 °C in the period 2020-2050 relative to the 1961-1990 average. Rainfall is expected to rise in December, January, February and March for the period 2010-2020, but not too different for the period 2010-2015. The temperature is expected to rise 0.65 °C by 2030, 1.1 °C to 1.7 °C by 2050 and 2.5 °C by 2080 to 2100 (based on trend data), where the fish will move away as a result of rising temperatures. Sea level rise, will rise about 0.6-0.8 cm per year, or the year 2100 is expected to rise about 80 cm or the pessimistic scenario could be more than 5 meters. Interval of El Nino and La Nina will change from 3-7 years to 2-3 years which have an impact on changes in precipitation and sea level. 5 The agricultural sector will receive a direct effect on climate change. Along with the modern economy of a country that is characterized by the higher contribution of the industrial sector to Gross Domestic Product (GDP). Agriculture will decrease its contribution to GDP and lower the supply or input for various food processing industries. According to Zhai, Lin and Byambadorj (2009), by anticipating the decline in agriculture's contribution to GDP, the impact of climate change on China's macroeconomy in the country will be moderate. Similar results of research Zhai et al was conducted by Zhuang (2008), where the impact of climate change on the agricultural sector in the region. The results showed that the impact of climate change on the agricultural sector is moderate. Based on IFPRI publication (2009) asserts that there is a negative effect of climate change on agriculture and human welfare. The above studies indicate that agriculture requires more attention from the visible effects of climate change. Boer (2009) showed that rice yields would decline by about 34% in Indonesia. It is expected to begin to occur in 2030 assuming no adaptation is done and there is no technical improvement. The study, conducted by Peng et al (2004) found that rice products will fall by 10% for each decrease in temperature by 1 °C during the growing season at the lowest temperature. For the production of corn products will fall between 5 - 44 % depending on the location of production such as those found in studies conducted by the Office of Natural Resources and Environmental Policy and Planning (ONEP 2008). Indonesia is predicted to experience the effects of temperature rise and its impact on the agricultural sector in 2030 (Oktaviani, 2011). According to the Intergovernmental Panel on Climate Change (IPCC , 2008), Indonesia might see a rise 6 in temperature of about 0.8 0C in 2030. Several other studies have shown the impact of climate change in Indonesia will be in the range of 2020-2050 (Boer, 2008) and Clien (2008 ) also showed the same time frame to several countries in Asia. High prices of agricultural products will increase in agricultural incomes. Agriculture will experience an increase in revenue, but on the other hand will decrease consumer welfare as a result of the increase of prices. Challenges to the existence of climate change, a result of the increase in agricultural prices will have a positive impact for landowners with rising rental income. The impact of climate change and international prices on agricultural products will affect agricultural output. Output of Rice as a staple food in Indonesia are vulnerable to climate change and international prices of agricultural products. To that end, the government's policy of agricultural products will greatly affect the welfare of the public with regard to consumption of staples . Methodology To answer the problem above, We will be used general equilibrium model (Recursif Dynamic Computable General Equilibrium Model). This model is expected to provide an overview of the various changes in the exogenous variables, so they can answer the problems that have been formulated. In this study, CGE models are used to seeing a broader picture of the impact of climate change on the agricultural sector. How to respond to changes in the productivity of crop products to various sectors of the economy simultaneously. General equilibrium model is a model that describes the market relationship of all goods and services in an economy. Each market will be in equilibrium, so that all market linkage will occur in the balance between supply and demand of each market. 7 Therefore, any change in the balance of a market, a reaction to the change of the balance of other markets is a response to changes in the market equilibrium. Modeling Computable General Equilibrium (CGE) is an attempt to take advantage of the general equilibrium theory as a tool to perform an empirical analysis of the issues of resource allocation in a market economy (Bergman 2005). The forerunner of the CGE model used in this study will be based on the CGE model used in the model of economic equilibrium in Australia ORANI - G models. This model is a static model which has the main equations to explain the relevance of various factors: Request input factors of production by industry Commodities Supply Request input for capital formation Household Demand The demand for export Request the government The link between the basic values of the costs of production and producer prices The market clearing for commodities and primary factors A number of macroeconomic variables and price indices (Horridge 2000). Some of the assumptions in this model suggests that all markets are in equilibrium. Therefore, the concept of optimization present in all equations in accordance with the concept of neo-classical economics. Utility maximization and cost minimization constraints on the functions implemented in the model, so that the 8 output is produced in the equation - the equation always refers to the concept of efficiency . Application of CGE models in this study will have a general idea as follows : 1. It is a multi - sectoral model that can dissagregation into 20 industries and 20 commodities. 2. There are 18 types of inputs, capital, land and 16 of labor groups. 3. Production structure distinguishes several types of labor that will be used through the CES function optimization. While the composition of intermediate inputs and primary inputs are optimized through a Leontief function . 4. The data are generally fundamentally based on 2008 Indonesian Input-Output table, while General Equilibrium models also require some of the data provided in 2008 Indonesian Social Accounting Matrix Table (SAM). Scenarios To get a change or impact in this model is indicated by the percentage change, then we need a base case as a starting point of the change. The base case are also known as business as usual scenario and basically is what will happen in the absence of shock. This model also requires a base year as the starting point for defining change dynamically, which in this study used 2008 as the base year. The assumptions used in the baseline scenario is that economic growth will underpin the growth of all sectors will be cap at 6.5% according to the medium-term plan of the Indonesian economy. The second of assumption is the number of household or q that always reduced to 2030, using projections used by the World Bank to assume the Demographic Dividend in Indonesia (Mason & Lee, 2000). Other assumption is the 9 trend of employment in Indonesia (emptrend). At the beginning of the period, the data is projected in 2:26% and continues to rise along with the rise and fall of the economy and the growing amount of household. The last two variables are used as assumption are land use (x1lnd) and the shift of the export demand curve (f4q). Both variable are assumed to increase by 6% per year. In general there are two main scenarios, ie. the baseline scenario and the second scenario is the presence of a shock for a particular purpose. In this study will try to analyze the impact of climate change on agricultural output in Indonesia, the influence of international prices for agricultural products as a result of climate change overseas and how the impact of both. Three such simulations will be seen the impact on policy that prohibits the import of rice or if only the international rice prices rise and if all imported agricultural products are prohibited. The magnitude of decline in agricultural output and international prices change as a result of climate change overseas will be referred to a study conducted by Oktaviani in 2011. In 2030 as a result of climate change will reduce output and increase in international prices as shown in the following table: Table 1. Percentage Change in Output and International Price of Climate Change in 2030 Agricultural No Output Decrease in Output 1 Paddy 10.13 2 Beans 20.39 3 Maize 20.8 4 OthAgric 35.26 5 RiceMilling 10.13 Source: Oktaviani et.al., 2011 Price Increase 28.9 30.7 29.9 11.8 Results Prior to the analysis of the simulation of the model that has been built before, the first stability test performed with respect to the model parameters used. Method to 10 perform this test using a test sensitivity of the various parameters used in the model. Three main parameters will be used to see the extent to which variables are generated. The parameters are the Armington Elasticities, Export elasticities and the elasticity of the primary factors. Sensitivity test carried out on the three scenarios are divided into three combinations of parameters with different of multipliers. Simulation of sensitivity analysis performed in 3 combinations constants. The results of analysis gives an overview of various combinations of parameters that are used for a variety of simulated scenarios. Three policies are divided into three combinations of parameters gives the same conclusion for all combinations of parameters. The change from a variety of major variables such as import price and real consumption gives the same direction. These results demonstrate the power of simulation models to provide the same result even if there is a change in the parameters used. This gives confidence that the model used has the power to estimate the percentage change in each variable for each year simulated. Baseline Scenario Formulation of a simulation of the CGE model will look at the impact of a shock or some of the baseline data. Dynamic CGE model used in this study will look at a range of variables due to policy changes undertaken shock to the baseline scenario. We do this by comparing the simulation results generated by the simulation on the baseline scenario or a scenario which shows the changes in the economy without any disturbance/shock in the form of climate change. 11 For the baseline model, the important thing to do is to control the growth of output of each sector in the database. To that end , twenty sectors which are used as a database of controlled growth based on projections that have been made, where every year has a different growth. The results of all simulations are shown from the perspective of climate change to the baseline scenario. Each figure shows the simulation results of the same economy as the Baseline Scenario with a disturbance in the form of 'shock'. Therefore, each digit of the simulation results will be read: what percentage change in a variable ‘x’ relative to the baseline scenario, where the figure shows the impact of the shock is purely done . GDP Total Consumption CC (Rice Import Restricted) CC (Open Rice Import) -6.43 -5.94 -8.66 -7.94 HH Consumption -11.55 -8.97 0.00 Import Price, HH Dom/Imp 41.27 18.60 29.73 Output -12.08 -11.54 -20 -10 0 10 Figure 1. Scenario A 20 30 40 50 12 International Price (Rice Import Restricted) -0.03 -0.02 GDP -0.26 -0.25 Total Consumption -0.13 -0.45 HH Consumption Import 0.00 Price, HH Dom/Imp 0.04 -0.20 Output -2 -1 0.97 0.73 0 1 2 Figure 2. Scenario B -6.25 -6.25 Total Consumption HH Consumption CC & Int' Price (Rice Import Restricted) CC & Int' Price (Open Rice Import) -4.64 -4.64 GDP -11.11 -10.22 0.00 Import 13.49 26.44 22.55 Price, HH Dom/Imp Output -11.87 -11.68 -20 -10 0 10 20 30 Figure 3. Scenario C Simulations were carried out consisting of three scenarios, namely the impact of Climate Change decrease agricultural productivity (Scenario A), the impact of climate change through international agricultural commodity price increases to domestic agricultural output (Scenario B) and the impact of climate change on domestic and foreign climate change through increase in the international prices of agricultural outputs of the agricultural sector (Scenario C). 13 All simulations will be discussed by comparing the effect of each policy on the agricultural sector output, agricultural output prices, household wealth represented by the level of real consumption and gross domestic product. All analyzes referred to in 2030, which predicted the effect of climate change is already happening in Indonesia (Oktaviani, 2011). Scenario of Climate Change in Indonesia Simulations conducted in this section is conducted three major simulation by dividing the two scenarios. The first is free to import rice and second by prohibiting the import of rice. The results of both scenarios for each of the three simulations will be compared to see the extent of the rice import policy affects the economy specialy the price in conditions of climate change, see the figure 1. The rice output decrease relative to baseline for both scenarios. The decrease in the percentage change of the rice output is lower in open policy to rice import compare to prohibit the rice import. The decline in output is increasing the price received by households and eventually lower the level of household consumption for rice. Judging from the total real household consumption and real GDP changes, for both scenarios, the open import policy is quite high compared to restrain imports. This is evident from the level of household consumption of rice fell up to 11.55% relative to baseline with the rice import policy compared to a fall of 8.97 % if the imports of rice is opened. Real total household consumption and GDP have low enough difference between free import policy and prohibit import policy. There is 6.43% decline of GDP and 8.66% on Total Consumption Real household. This decrease is different about one percent lower in the open import policy is 5.94% and 7.94% for the variables Real GDP and total household consumption. 14 Global Climate Change Scenario The second simulation, see the Figure 2, shows how the impact of rising international prices for agricultural products as a result of climate change overseas. Assumptions, domestic has not been impacted of climate change, then the simulation is discussed for two scenarios. The first scenario shows the increase in the percentage change in the output of rice by 0.73% relative to baseline compared with the second scenario actually fell by 0.2% relative to baseline. The impact of climate change in overseas through the international price increases for rice, the price of rice increase that received by households. Rice import levels down, and increasing of price rice will reduce of household consumption and the total consumption of rice. Same with the first type of simulation, open rice imports still provide a lower cost facing an international price increase as a result of climate change overseas. This is reinforced by the decline in GDP relative to baseline in the prohibit imports of 0.03% greater impact than the decrease of 12.02% on the open import policy. Scenario of Climate Change in Domestic and Abroad Climate change is happening either directly perceived in Domestic (Indonesia) or even abroad gives the same effect as the previous two scenarios. This suggests that the impact of the decline in output becomes apparent to the existence of climate change. In the third type of simulation (Figure 3) or the impact of climate change in the domestic and international impact described further strengthen the image of Figure1 and Figure 2. The increase in the domestic prices of agricultural commodities, decrease total household consumption and a decrease of Real Economic Growth's policy to prohibit 15 the import of agricultural products, lowering the welfare impact is greater than the release of all imported agricultural products. Conclusions Based on the three major and eight simulation scenarios that have been done, there are several conclusions that can be drawn as follows: 1. Climate change impact on reducing agricultural output in Indonesia in 2030. Of the three scenarios that have been done, perform import protection for agricultural output will decrease welfare views of real household consumption and economic growth greater than removing import protection. 2. Impact of global climate change through an increase in the international prices of agricultural products. The increase in international prices for all agricultural products could increase agricultural output in Indonesia, except for the policy of prohibiting the import of agricultural output and rising prices of rice price only. If the international price of rice has increased, it is better to immediately open the taps of imported rice. In addition to rewarding farmers for price increases, not too big affect real consumption level of the household or the macro economy. 3. Judging from the indicators of economic growth and real consumption of households, then open import agricultural products have a negative impact on the economy smaller than prohibit import agricultural products under conditions of climate change in Indonesia. 4. Implications for government policy is to be a breakthrough in Indonesia to prepare agriculture resilient to climate change in terms of foreign trade policy 16 for agricultural products should be directed to the open market or no import ban on all agricultural products for the welfare of the community in the future. Reference Adams, et al. 1998. Effects of global climate change on agriculture: an interpretative review. CLIMATE RESEARCH- Clim Res, Vol. 11: 19–30, 1998. Bappenas. (2010). Indonesia Climate Change Sectoral Roadmap (ICCSR). Badan Perencanaan Pembangunan Nasional Republik Indonesia, (Maret). Bergman, L. (2005). CGE modeling of environmental policy and resource management. In K.-G. Mäler and J. R. Vincent (Eds.), Handbook of Environmental Economics Vol. 3, pp.1273–1306. Elsevier. Boer R. 2009. Sekilas Status Komunikasi Nasional Indonesia untuk Perubahan Iklim dipresentasikan pada Enabling Activities for the Preparation of Indonesia’s SNC, Jakarta 21 April 2009. Kementrian Lingkungan Hidup bekerjasama dengan UNDP Indonesia. Boer, R. et al., 2007. Indonesian Country Report: Climate Variability and Climate Change and Their Implications. Government of Indonesia, Jakarta. Cline, W. R. (1996) The impact of global warming on agriculture: Comment, American Economic Review, 86(5), pp. 1309–1311. Cline, William R, Global Warming and Agriculture – Impact Estimate by Country, Peterson Institute for International Economics, Peterson Institute for International Economics, Washington, DC, September 12, 2007. Handoko I dan. Hardjomidjojo, H. 2009. Global Warming, Climate Change and Impacts to Food and Agriculture. Paper presented at a Seminar on “Climate Change Scenarios and Its Implication on Ecosystem and Biodiversity, Food Security and Health”, Penang, Malaysia, 23-24 June 2009 Horridge, M. (2000). ORANI-G: A General Equilibrium Model of the Australian Economy, Centre of Policy Studies/IMPACT Centre Working Papers op-93, Monash University, Centre of Policy Studies/IMPACT Centre. Available from URL: http://ideas.repec.org/p/cop/wpaper/op-93.html [accessed 6 May 2009]. IPCC. 2007b. Climate Change 2007: Agriculture. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. [B. Metz, O.R. Davidson, P.R. Bosch, R. Dave, L.A. Meyer (eds)]. www.ipcc.ch/pdf/assessment-report/ar4/wg3/ar4-wg3-chapter8.pdf 17 Oktaviani, Rina et.al, Global Climate Change Further Implications On Indonesian Agricultural Sector’s Employment, International Food Policy Research Institute, 2011. Pearce, D., Cline, W., Achanta, A., Fankhauser, S., Pachauri, R., Tol, R. & Vellinga, P. (1996) The social costs of climate change: Greenhouse damage and benefits of control, in: J. Bruce, H. Lee and E. Haites (Eds) Climate Change 1995: Economic and Social Dimensions of Climate Change, pp.179–224 (Cambridge: Cambridge University Press. Peng S, Huang J, Sheehy JE, Laza RC, Visperas RM, Zhong X, Centeno GS, Khush GS, Cassman KG (2004). Rice yields decline with higher night temperature from global warming.Proceeding of National Academy of Science of the United State of America (PNAS) 101:9971–9975 Stern, N. (2006). Stern Review on the Economics of Climate Change. British Government, 1–32. Surmaini, Runtunuwu dan Las, 2011. UPAYA SEKTOR PERTANIAN DALAM MENGHADAPI PERUBAHAN IKLIM. Jurnal Litbang Pertanian, 30(1), 2011. Syaukat, Yusman. 2011. The Impact of Climate Change on Food Production and Security and Its Adaptation Programs in Indonesia. J. ISSAAS Vol. 17, No. 1:40-51 (2011). Tschirley, J. 2007. Climate Change Adaptation: Planning and Practices. Power Point Keynote Presentation of FAO Environment, Climate change, Bioenergy Division, 10-12 September 2007, Rome. Wahyunto, 2005. Lahan sawah rawan kekeringan dan kebanjiran di Indonesia. Balai Besar Sumberdaya Lahan Pertanian. Bogor Yusuf, 2010. Climate Change Issues and Mitigation Actions in Indonesia. Presented at the Asia Climate Change Policy Forum 2010, Crawford School of Economics and Government, ANU College of the Asia Pacific, the Australian National University. Zhai at al., 2009. A General Equilibrium Analysis of the Impact of Climate Change on Agriculture in the People’s Republic of China. Asian Development Review, vol. 26, no. 1, pp. 206−225.