Browsing by Person "Grethe, Harald"

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    A 2004 social accounting matrix for Israel : documentation of an economy-wide database with a focus on agriculture, the labour market, and income distribution
    (2011) Siddig, Khalid; Flaig, Dorothee; Luckmann, Jonas; Grethe, Harald
    This document describes the Israeli Social Accounting Matrix (SAM) for the year 2004, developed by the Agricultural and Food Policy Group at the University of Hohenheim. The SAM is a part of a larger research project which aims to analyse several economic, trade, and labour policies in the context of economic integration of agriculture between Israel and the West Bank. Data are obtained from various sources in Israel. Sources include the Israeli Central Bureau of Statistics (ICBS), the Central Bank of Israel (CBI), and the Israeli Tax Authority (ITA). Data from sources outside of Israel are used to fill-in some gaps in the domestic reports. External sources include the World Trade Organization (WTO), the Organisation for Economic Co-operation and Development (OECD), and the World Bank. The SAM provides data on 47 sectors with activities separated from commodities, 36 labour force types, 10 household groups, as well as 17 tax accounts in addition to 37 accounts reserved for taxes on production factors. A topdown approach is pursued by first building a balanced macro SAM which is consistent with 2004 national account data. Subsequently, the macro SAM is disaggregated into a micro SAM which is balanced in several steps.
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    An empirical analysis of the Swiss generalized system of preferences
    (2018) Ritzel, Christian; Grethe, Harald
    The progressively introduced DFQFMA for LDCs has a positive effect on the size of LDCs’ preferential exports to Switzerland. Consequently, the DFQFMA has considerably improved market access for the world’s poorest countries. Eliminating tariffs (progressively) causes preferential agro-food and textile exports of LDCs to rise substantially. However, it has to be remarked that the success of the DFQFMA is limited to the agro-food and textile sectors and to a few countries. The descriptive analysis of agro-food exports indicates that trade liberalization is a success story merely for a few LDCs, namely Tanzania, Ethiopia, Côte d’Ivoire, Mozambique, Malawi, Senegal and Uganda. Those seven countries capture a total share of nearly 80 percent of LDCs’ agro-food exports to Switzerland. In the textile sector we observe an even higher degree of market concentration concerning LDCs’ preferential exports. Here, three countries, namely Bangladesh, Cambodia and Nepal, account for 98 percent of LDCs’ preferential textile exports. It also can be noted that the GSP is a useful supplement to ‘duty-free tariffs’ (duty-free market access) under the WTO regime. For instance, 100 percent of LDCs’ agro-food exports from 2002 to 2011 entered Switzerland under reduced or duty-free tariffs. However, the share of preferential exports under the GSP was on average only 36 percent. In this context, the preference margin, which represents the main incentive to export under preferential conditions, compensates the costs of compliance associated with the GSP and yields an additional benefit for the importer has a consistent and positive effect on the level of the utilization rate. In particular, the application of the Heckman´selection model in article no. 1 makes clear that once trade contracts are established and an exporter has overcome bureaucratic obstacles in the form of proof of origin and proof of direct shipment, the ‘preference margin’ appears as the main incentive to export under preferential conditions granted by the GSP. While the effect of the size of ‘GSP eligible trade’ has a positive and significant effect in the case of the PPML estimations, the effect turned negative when the sample was restricted to positive values of the utilization rate in the case of the outcome equation of the Heckman selection model. This finding encourages our confidence that the ‘preference margin’ acts as the main incentive for exporting under preferential conditions. However, to benefit from these preferential tariffs, the institutional quality of a given DC or LDC is of crucial importance. Additionally, we address the question of whether reciprocal trade preferences are more beneficial for DCs compared to non-reciprocal trade preferences. Because trade preferences under the Swiss GSP are offered to the country group of DCs as a whole, non-reciprocal trade preferences are not tailored to the export structure of a particular DC. Consequently, by switching from non-reciprocal to negotiated reciprocal trade preferences, DCs such as Tunisia expect to negotiate terms which are tailored to their export structure and better conditions than competitors from countries which are still beneficiaries of the GSP. The Tunisian case study reveals that the switch from the GSP to an FTA causes no significant advantage in most of the export sectors. This implies that switching from non-reciprocal to reciprocal trade preferences yields advantages in export sectors where Tunisia has comparative cost advantages. This is especially true for the textile sector and partly so for the agro-food sector.
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    An integrated computable general equilibrium model including multiple types and uses of water
    (2015) Luckmann, Jonas Jens; Grethe, Harald
    Water is a scarce resource in many regions of the world and competition for water is an increasing problem. To countervail this trend policies are needed regulating supply and demand for water. As water is used in many economic activities, water related management decisions usually have complex implications. Economic simulation models have been proven useful to ex-ante assess the consequences of policy changes. Specifically, Computable General Equilibrium (CGE) models are very suitable to analyze the consequences of water-related management decisions, as they consider the interlinkages between different sectors and economic agents within an economy. However, so far there is no CGE model which provides a holistic picture of the water sector including all aspects of provision, demand and management. Against this background, in this thesis a CGE model (STAGE_W) is developed which is especially focused on the water sector and provides a generic, integrated and flexible framework to incorporate various water sources from which several water activities produce water commodities of differing quality. These are consumed by other activities or by households. The applications presented in this thesis are to the best knowledge of the author the first CGE approaches to depict the recycling of wastewater and the provision of brackish groundwater as independent activities. Another novelty of the model is that it is capable to depict cascading water use. Furthermore, the inclusion of several water specific taxation instruments allows for a wide range of water policy simulations. To demonstrate the capabilities of the model, STAGE_W is applied to a Social Accounting Matrix for Israel. Based on this database several case studies are conducted which are presented in three scientific articles. Israel provides an ideal example as the country is strongly affected by water scarcity and is also among the world leaders regarding the development of new water sources and technologies. In the first article, a literature review on previously existing approaches of water depiction in CGE models is provided along with a detailed description of the specifics of STAGE_W. The model is applied to simulate a reduction of freshwater resources. The effects of this shock are analyzed with and without further increasing the desalination capacity. The results show that the economic effects are slightly negative under both scenarios. Counterintuitively, the provision of additional potable water through desalination does not substantively reduce the negative outcomes. This is mainly due to the high costs of desalination, which are currently subsidized in Israel. The second article simulates an abolishment of the discriminatory water pricing system currently established in Israel. Instead, two alternative schemes are introduced: price liberalization, which unifies the prices for all potable water consumers at cost recovery rates, and marginal pricing, lifting the potable water price to the cost of desalination. It is found that both schemes yield a double dividend by simultaneously saving water and increasing economic growth. Thereby, marginal pricing allows for larger water savings while price liberalization results in higher economic growth. In the third article, the model is further refined: the quantity of sewage available for reclamation is linked to the water consumption of economic entities connected to a sewer system. This allows to depict cascading water use and to endogenously estimate the marginal value of unpurified sewage. It is shown that a consideration of this link is crucial, if a high share of potable water is reclaimed and used. In this case, reducing the potable water consumption of municipalities also negatively affects the availability of reclaimed wastewater and thereby reduces its potential as a substitute for potable water. These case studies provide evidence of the validity of the model developed. The model results cannot necessarily be anticipated, as they are the outcome of complex interrelations within the model and none of the previous models has the capacity to capture all the relevant aspects of the water sector which influence these outcomes. Therefore, it is concluded that STAGE_W constitutes a helpful tool to implement a more sustainable management of water resources, allowing policy makers to ex-ante estimate the economy-wide effects of water related decisions. As the whole economy is depicted, a more holistic picture of effects resulting from changes in the water sector can be drawn in comparison to single sector models or cost-benefit analyzes.
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    Carbon taxation in Russia : prospects for a double dividend and improved energy efficiency
    (2013) Orlov, Anton; Grethe, Harald
    Russia is not only one of the world?s major sources of carbon based energy ? coal, oil and gas ? but is also one the most intensive users of energy. Furthermore, Russia accounts for a disproportionately large share of global carbon dioxide emissions ? some 5% to 6% of global carbon dioxide emissions (EIA, 2011a). It has been estimated (World Bank, 2008) that Russia could reduce its use of primary energy use by 45% with consequent economic and environmental benefits. High energy and carbon intensity of the Russia economy is, inter alia, explained by low energy prices due to high export taxes as well as administrative regulation of domestic prices of gas and electricity and low environmental taxes. Carbon taxes are one such Pigouvian tax and they would address concerns on several fronts simultaneously. In the short to medium term they would, inter alia, lead to lower GHG emissions and encourage the diffusion of more energy efficient technologies. In the longer term, the increased cost of energy inputs is expected to induce technological progress. In this analysis, the macroeconomic and sectoral effects of carbon taxes on the Russia economy are examined. This analysis addresses the following objectives: i) to test the double dividend hypothesis under perfect and imperfect competition in output markets, to analyse ii) the incidence of carbon taxes, iii) impacts on sectoral competitiveness, iv) effects on income equity, and v) interactions of carbon taxes with other taxes. A computable single-country multi-sector comparative static CGE model is employed.
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    Ex-ante measurement of redistributive effects of agricultural policy in western Germany
    (2014) Deppermann, Jens Andre; Grethe, Harald
    In recent decades, agricultural support of the European Common Agricultural Policy (CAP) has increasingly shifted from market price support measures to budgetary payments. This development has made support more visible and has raised public attention to the distribution of support, which in turn increased political awareness of the topic. Simulation models are tools frequently used for the ex-ante analysis of policy reforms. In other scientific areas, e.g. poverty analysis or tax reform analysis, it is quite common to assess impacts of macroeconomic shocks on income distribution on a national scale by the application of behavioural ex-ante models and referring to the level of individual incomes. Similar tools for the measurement of impacts of sectoral or macroeconomic policies on the individual farm income level are less frequent for the agricultural sector and, apart from few exceptions, ex-ante studies of redistributive effects of agricultural policy are rare. Yet, in general, ex-ante policy impact analysis in the agricultural sector has a long tradition. The combination of models to jointly assess effects at different levels of aggregation and taking behavioural effects into account is very common. Most of the model chains, however, take farm groups or average farms into account rather than accounting for effects at the individual farm level. Some attempts have been made to combine macro or sectoral models with micro models, which incorporate the behaviour of individual farms. Such research, however, is often restricted to the analysis of certain types of farms. In general, ex-ante analyses of redistributive effects among individual farms on a supra-regional level in the sense of evaluating a counterfactual distribution of income with regard to a reference distribution of income including an assessment of progressivity or related concepts can hardly be found for the agricultural sector. Against this background, the main objective of this work is to develop a tool that is able to consistently assess impacts of agricultural policy on individual farm incomes, thereby building on existing modelling approaches and thus, taking behavioural effects into account for the ex-ante analysis of redistributive effects of agricultural policy. Subsequently, different liberalization scenarios are defined and a detailed analysis of redistributive effects is carried out for the western German agricultural sector by the application of methodologies borrowed from the field of tax progressivity analysis. Thereby, several contributions to the understanding of modelling inequality effects are made, methodologically as well as empirically. The modelling system consists of three layers. At the sectoral and the meso-level two previously developed large scale models are applied. The European Simulation Model (ESIM) is an agricultural sector model with a strong focus on the CAP. It depicts the world agricultural sector – though in different degrees of regional disaggregation – and quantifies effects of agricultural policy at the European and member state level. It is, however, unable to estimate intra-sectoral income changes at the farm level. The Farm Modelling Information System (FARMIS) is a more disaggregate model that depicts the German agricultural sector in great detail. It applies 628 homogenous farm groups and is used in the modelling chain to estimate impacts on the intra-sectoral distribution of income at the meso-level. The two models at the sectoral and meso-level are consistently linked via an iterative solution process. After convergence is achieved between ESIM and FARMIS, the integrated results are further processed in a micro model, estimating impacts at the individual farm level. The micro model has been developed for this study, is static in nature, and relies on the results of the meso-model. After changes in individual incomes are calculated as a first step by the modelling system for different scenarios, model results are analysed in a second step by the application of a methodology for the measurement of redistributive effects that was originally developed for the analysis of tax reforms. Based on the comparison and decomposition of relative and absolute Gini coefficients, detailed redistributive impacts of changes in agricultural policy are presented. For the analysis, scenario results for the year 2020 are evaluated relative to the income distribution of a reference scenario where the CAP is still in place in 2020. To account for different conceptual impacts of inequality analysis on results, the analysis is carried out at different aggregation levels, for different income classifications, and for income data generated in a static way in comparison to data generated by the modelling system. It can be stated that inequality effects are robust with regard to the conceptual differences tested for, at least in terms of the direction of inequality changes. All calculated liberalization scenarios lead to decreasing absolute income differences among western German farms in 2020 because high-income farms lose higher absolute amounts of money than small-income farms. Relative to their Baseline incomes, however, low-income farms tend to lose a higher share compared to high-income farms which leads to increasing relative inequality due to liberalization. Only one exemption from this pattern of results exists: if grouped results are disaggregated and total household income is considered instead of family farm income. In summary, this work provides an innovative combination and extension of different simulation models, which enables the ex-ante measurement of income changes for individual farms. This information in turn facilitates the measurement of redistributive effects in the agricultural sector taking behavioural effects into account.
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    Factor mobility and heterogeneous labour in computable general equilibrium modelling
    (2014) Flaig, Dorothee; Grethe, Harald
    The representation of labour markets in Computable General Equilibrium (CGE) models is characterised by a trade-off between data representation and data availability. Models are by definition abstract and simplified pictures of the real world: as a map of scale 1:1 does not help to find an unknown destination, a model which perfectly depicts the real world would hardly help to analyse adjustment effects of policy changes or macroeconomic shocks. When the analysis is focused on distributional issues, it seems obvious that such an analysis can only be based on models that differentiate at least more than one household group. Household groups characteristically differ in factor endowment and since factor income– besides price effects – is a main determinant of welfare analysis, the specification of labour markets crucially determines the analysis. There are mainly two possibilities to specify the labour market in a CGE model: First, the labour market can be set up as competitive market with perfect substitutability between individual workers on that market. With this setup, wages must be equal among labour types and sectors because every difference in wages provokes adjustments, which finally equalise wages again. In contrast, data reports typically significant wage differences between labour types that can only originate from imperfect labour markets. Thus, the second option is to depict these wage differences by imperfect substitutability of individual workers in the production process. But data on substitution possibilities of labour demand between different labour types is weak and estimations of substitution elasticities are in most of the cases not available. Meanwhile, in the real world, wages differ in various dimensions and in models labour types are typically differentiated by age, gender, skill level or occupation. When differentiating labour types within these dimensions, wage differences become possible and can be explained by transformation limitations between characteristics: e.g., wage differences between female and male workers are originating from the fact that female workers cannot become male workers. This differentiation has the effect that in most of the models, transformation between the characteristics of a dimension is no longer possible and workers stay in a specific labour type. Typically labour types are not differentiated by sector of employment and, thus, are assumed homogeneous amongst sectors. Movement of workers between sectors seems possible; nevertheless, data reports partly huge wage differences between different sectors of an economy. As a solution, CGE models typically include an efficiency parameter which allows calibrating the model according to the data, but the model assumes still homogeneous labour which should be priced equal. Thus, the efficiency parameter does not economically explain the existence of these wage differences. This thesis presents a comprehensive and flexible framework to introduce imperfect factor markets in CGE models. Labour mobility between labour types is controlled by migration functions where the degree of mobility is controlled by elasticities that govern the responsiveness of migration to changes in relative wages. Finally, the model provides the user with three additional instruments to control the operation of labour markets. First, the user can control the stock flow relationship for each labour type, e.g., does a migrating worker keep her productivity from the initial activity, adopt that of the destination activity or something in between; second, the user controls the flexibility of the labour market by setting the migration elasticities between activity blocks; and third, the setting of adjustment parameters determines the (assumed) costs of migrating. The analysis of productivity effects and costs of factor reallocation emphasises the relevance and influence of labour market specifications on model outcomes. Thus, this thesis sets the base for a careful setup and test of labour market assumptions applied in CGE models.
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    Non-agricultural activities and household time use in Ethiopia : a computable general equilibrium model analysis
    (2018) Mosa, Abdulaziz Abdulsemed; Grethe, Harald
    Large shares of rural households engage, next to agricultural activities, in non-agricultural activities in most regions of Ethiopia. Non-agricultural activity is indispensable to reduce rural poverty and income inequality and contributes to livelihoods. The sector is crucially relevant for those who lack alternatives especially for women and landless rural households. However, the constraints of non-agricultural activities are not well studied and documented in Ethiopia. Few attempts have been made to identify the impediments to non-agricultural activities based on household surveys with limited coverage that are hardly representative of the whole country. Furthermore, to secure the potential benefits gained from the development of non-agricultural activities, it is essential to recognize and reduce the barriers confronted by the sector. To the author’s best knowledge, the potential economy-wide benefits drawn by reducing the impediments of non-agricultural activities are barely been studied and recognized. In other words, the potential effects of different policy instruments for facilitating non-agricultural activities are unexplored by the empirical literature on Ethiopia. Against this background, this study uses a comprehensive and country representative household survey to identify the constraints of non-agricultural activities in Ethiopia. Furthermore, two policy options for promoting rural non-agricultural activities are examined and discussed: First, the non-agricultural labor supply is stimulated by freeing labor time from labor-intensive home activities such as collecting water and firewood and second, the effect of improved access to road transport infrastructure for enhancing non-agricultural activities and its economy-wide outcomes are analyzed. The study reveals that major constraints of non-agricultural activities are limited access to finance, lack of market opportunities, limited education/training and poor access to roads, transport and communication. Rural households participate in non-agricultural activities due to a lack of access to agricultural land, low/volatile earnings, to look for a means to invest in agriculture and social/economic independence. The major non-agricultural activities are services (such as carpentry and transport), trade (wholesale and retail trade) and manufacturing (such as grain milling and brewing). The study also investigates the impact of water fetching and firewood collection on non-agricultural activities in Ethiopia. Since the sources of water and firewood are not easily accessible, households spend long hours per day for collecting water and firewood. For instance, rural households on average spend 0.64 hours per day for fetching water and 0.58 hours per day for firewood collection. The finding of this study reveals that water fetching and firewood collection adversely affect the adoption of non-agricultural activities in Ethiopia. Specifically, households that spend more labor hours for collecting water and firewood are less likely to engage in non-agricultural activities. The current study analyzes and discusses the effect of two alternative policy interventions for promoting non-agricultural activities in Ethiopia. The first policy option is facilitating the non- agricultural labor supply by freeing labor from water fetching and firewood collection. Improved access to drinking water infrastructure and energy efficient technology (for example, improved cooking stoves) significantly reduces the time spent on water fetching and firewood collection. The freed labor from water fetching and firewood collection is partly reallocated to marketed activities such as agricultural and non-agricultural activities or partly reallocated to leisure. Labor reallocated to market activities has economy-wide implications. This study examines the scenario of a 50% increase in the total factor productivity (TFP) of water fetching and firewood collection activities because of improved access to water infrastructure and energy efficient technology. Domestic and international sources of finance are used for funding water infrastructure and energy technology The simulation results show that improved access to water and energy efficient technology ensures reallocation of labor across different economic sectors. Since a large percentage of water fetchers and firewood collectors are agricultural laborers, agriculture absorbs a larger share of the released labor relative to other sectors (such as industry and services). Accordingly, the labor released from water fetching and firewood collection stimulates agricultural and non-agricultural production. Better access to drinking water and improved energy technology also enhances household welfare. Households that allocate a relatively large proportion of labor to water fetching and firewood collection gain relatively more welfare. Macroeconomic indicators such as GDP, total domestic production, absorption and imports are also positively affected due to improved access to water and energy efficient technology. The second policy option analyzed in this study is the role of improved access to road transport infrastructure for enhancing non-agricultural activities. Better access to road infrastructure reduces trade and transport margins and enhances efficiency of activities that produce trade and transport services. This study explores the policy scenarios of a 1.8% to 2.1% reduction of trade and transport margins and a 1.1% increase in the total factor productivity (TFP) of activities that produce trade and transport services. The cost of funding road infrastructure is obtained from domestic and international sources.The simulation results indicate that improved access to road transport infrastructure reduces consumer prices of marketed commodities and enhances domestic production in agricultural and non-agricultural sectors. The simulations also exhibit welfare improvement among rural and urban households and facilitate economic growth. Therefore, improved access to road transport infrastructure is important for the development of non-agricultural activities. In general, improved access to the road transport network, drinking water supply and energy saving technologies should be recognized as a fundamental component for facilitating rural non-agricultural activities in Ethiopia. This study has revealed that policy interventions targeted towards promoting non-agricultural activities lead to considerable economy-wide positive outcomes and stimulate the entire economic activities in the country.
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    Village level impacts of trade reform in China
    (2011) Kleinwechter, Ulrich; Grethe, Harald
    During the past decades, China has carried out ambitious economic reforms. The reforms have resulted in strong economic growth and considerable reductions in poverty. The current situation, however, is also characterised by rising tensions within the country, caused, among others, by rural-urban and inland-coastal disparities. In this situation, rural-urban migration occupies central stage, both for the livelihoods of rural households and for the outcome of further policy reforms. In this context, trade liberalisation for a number of reasons can be expected to play an important role for the future development of poverty and inequality in the country. Against this background, the present work analyses and assesses the impacts of further trade liberalisation efforts on a rural community in south-western China. Recognising the importance of these issues, emphasis is put on poverty, inequality and rural-urban labour migration. Subject of the analysis is a village located in one of the less developed counties of Guizhou province. Thereby, this village level case study aims not only at shedding light on the impacts of future trade reforms on this particular village, but also has the objective of providing more general insights into the mechanisms which are at work when trade policies are brought down to a local level. The study seeks to promote an enhanced understanding of relevant processes in similar settings, allowing for improved assessments in the field of development oriented trade policy analysis. The objectives of the study are achieved by the application of a village computable general equilibrium model embedded into a macro-microsimulation framework. In this framework, aggregate results from a national level CGE study of unilateral trade liberalisation in China are administered as a policy shock to the village model, which offers a highly disaggregated picture of the village economy and allows for a detailed analysis of the impacts of the reform. The village model which is a CGE representation of the village economy forms the core part of the present study. The households which make up the village community are depicted by six representative household groups, each of them represented by an agricultural household model. The six groups stratify the village population by household demographics and income levels, thus distinguishing the households by their migration behaviour and by relative poverty. Each representative household can carry out up to four productive activities: agriculture, formal and informal local off-farm work as well as migration. Agricultural production is modelled with a nested Leontief-Cobb-Douglas technology. Household consumption is represented by a per-capita LES which includes self-consumption of agricultural output, purchased goods as well as leisure. By incorporating the assumption of a perfectly neoclassical village land market, the model makes a step towards the modelling of land rental transactions which take place within the village. The land market links the households together and creates local general-equilibrium effects which greatly affect the outcome of the policy reform. The salient feature of the village model is a novel approach towards the modelling of the households' labour allocation behaviour, and in particular the migration behaviour. The approach takes into account household preferences towards work in different types of employment as well as feedback links between household migration and consumption demand. This is achieved by the assumption of a composite utility function, which defines the behaviour of each household in the model. The composite utility function consists of a consumption utility function, which captures utility created by commodity consumption, and a labour utility function, which allows to account for the utility or disutility associated with the participation in different types of employment. By considering the disutility arising from certain employment options, the current work offers an important contribution to the methodological development of agricultural household and village equilibrium modelling. It provides a modelling framework, which paves the way for similar applications in different settings and opens an interesting field for future applications, which may also extend to levels of higher regional aggregation. At the same time, the model constitutes a highly valuable tool for the analysis of the migration behaviour of rural households under different policy scenarios along the lines of household demographics and income levels. Thereby, the availability of transparent information on socio-economic characteristics of the household groups, the remittances behaviour as well as the disutility connotations of migration offer great support to such efforts. Not least, it allows deriving theoretically sound hypotheses on the migration behaviour of rural households in different policy situations.