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Long-Run Impacts of China’s WTO Accession on Farm- Nonfarm Income Inequality and Rural Pov

Long-Run Impacts of China’s WTO Accession on FarmNonfarm Income Inequality and Rural Poverty*
Kym Anderson,? Jikun Huang,? and Elena Ianchovichina§ Abstract Many fear China’s accession to WTO will impoverish its rural people, via greater import
competition in its agricultural markets. We explore that possibility bearing in mind that, even if producer prices of some (land-intensive) farm products fall, prices of other (labor-intensive) farm products could rise. Also, the removal of restrictions on exports of textiles and clothing could boost town and village enterprises, so demand for unskilled labor for non-farm work in rural areas may grow even if demand for farm labor in aggregate falls. New estimates, from the global, economy-wide numerical simulation model known as GTAP, of the likely changes in agricultural and other product prices as a result of WTO accession are drawn on to examine empirically the factor reward implications of China’s WTO accession. The results suggest farm-nonfarm and Western-Eastern income inequality may well rise within China but rural-urban income inequality need not. The paper concludes with some policy suggestions for alleviating any pockets of farm household poverty that may emerge as a result of WTO accession. Key words: WTO accession, China’s economic reform, rural-urban income inequality JEL codes: F14, O19, O53

World Bank Policy Research Working Paper 3052, May 2003 The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the view of the World Bank, its Executive Directors, or the countries they represent. Policy Research Working Papers are available online at http://econ.worldbank.org.

Paper was presented at the World Bank’s Conference on China’s WTO Accession, Policy Reform and Poverty Alleviation, Beijing, 28-29 June 2002, the 5th Conference on Global Economic Analysis, Taipei, 5-7 June 2002, the AARES Pre-Conference Workshop on WTO: Issues for Developing Countries, Canberra, 12 February 2002 and the International Agricultural Trade Research Consortium’s conference on Globalization, Biotechnology and Trade, Tucson, 14-16 December 2001. Thanks are due to the World Bank and Australian Research Council for financial support, and to Will Martin, Tom Hertel, Scott Rozelle and other participants in the World Bank’s project for helpful comments on earlier versions of this paper. School of Economics and Centre for International Economic Studies, University of Adelaide, Adelaide SA 5005 Australia, phone (+61 8) 8303 4712, fax (+61 8) 8223 1460, kym.anderson@adelaide.edu.au. ? Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing, China, phone (+86 10) 6488 9440, fax (+86 10) 6485 6533, jikhuang@public.bta.net.cn. § Poverty Reduction and Economic Management, Economic Policy, World Bank, Washington, D.C., USA, phone (+1 202) 458 8910, fax (+1 202) 522 2530, eianchovichina@worldbank.org.


Long-run Impacts of China’s WTO Accession on FarmNonfarm Income Inequality and Rural Poverty
Kym Anderson, Jikun Huang and Elena Ianchovichina
After fifteen years of negotiations, China acceded to the WTO at the end of 2001. During those negotiations, China was continually opening up its economy. However, substantial economic policy reform is still needed before the transition from plan to market is complete. Some of those remaining reforms will be introduced over the next few years to fulfill the legal obligations China has committed to in its WTO Protocol of Accession. Keeping the momentum of growth-enhancing trade reform going requires convincing sceptics that there will not be significant losers. Yet such reform necessarily involves structural adjustments by households, firms and bureaucracies. While the economy as a whole can gain substantially from those adjustments,1 losses and even hardship can result for some households unless complementary domestic policies are in place to facilitate adjustment and/or compensate losers. That underscores the importance of first analyzing the likely distributional consequences of the reforms themselves, and then considering what complementary policies are needed to provide adequate safety nets for potential losers. Of particular concern in China’s case is that farm incomes may fall, exacerbating the rise since the mid-1980s in farm-nonfarm and inlandcoastal aggregate income inequality and possibly reversing the decline since the late 1970s in rural poverty (see Kanbur and Zhang 2001). The policy changes still to be made to fulfill WTO obligations will affect all areas of China’s economy. Numerous commentators predict a dramatic effect on agriculture and hence rural areas, because the reforms in China over much of the past quarter-century bypassed the country’s trade policies for key farm products. Before acceding to WTO, China was required by its trading partners to commit to major changes in those farm trade policies by 2005 – protection cuts that appear far greater, and faster, than any other developing country was required to commit to in the Uruguay Round Agreement on Agriculture. With one-quarter of rural households in China living on less than $1 a day in 1999 (c.f. 1 per cent of urban households)


such that more than three-quarters of all poor Chinese people live in rural areas, concerns about the impact of WTO accession on poverty alleviation are understandable. Meeting the commitments in agriculture will directly affect China’s farm sector plus its food, feed and fiber processors, as well as consumers of food and beverages. Imports of numerous land-intensive farm products may increase, and most observers presume that will put downward pressure on prices received by China’s farmers. However, reduced protectionism may boost output and exports of some labor-intensive farm products in which China still has a comparative advantage.2 In addition, farm households will be affected indirectly by many of the other commitments China has made in its WTO Accession Protocol. Especially important will be the arrangements for phasing out the ‘voluntary’ export restraints on China’s textile and clothing trade, and the reductions in protection of the motor vehicles and parts industry. So too will be the myriad commitments affecting the services sector, including state trading enterprises. Those changes, together with the promised increase in a wide range of agricultural imports, will allow China to exploit more fully its strong comparative advantage in unskilled labor-intensive products – both farm and non-farm (Anderson 1990, 1992; Huang et al. 2000). To assess the long run impact on farmer incomes and on rural areas of the remaining reforms required to meet China’s commitments to the WTO membership, it is necessary to see those changes in the context of on-going economic growth and structural change. This paper therefore begins with a brief summary of rural developments since the initial reforms began in the late 1970s, of recent policies affecting rural households, and of pertinent reforms still to be delivered as part of China’s WTO commitments. With that background, the paper then provides some indication of the likely effects on the welfare of different factor markets and hence different types of households of the reforms to be implemented between 2002 and 2007. Even the direction, let alone the magnitude, of some of the effects cannot be discerned from theory (Winters 2000; McCulloch, Winters and Cirera 2001), so we use the numerical simulation model known as GTAP to address these issues. The paper concludes by drawing out implications for Chinese policy makers wishing to pre-empt any increases in food insecurity or rural poverty.
Although national gains from trade are not guaranteed while there are major domestic policy distortions in place, such as in the labor market. See, for example, Krishna and Yavas (2002). 2 The difficulties China has had in exporting food products to, for example, Japan, Korea and the United Kingdom in the past year or so because of those countries’ quarantine/SPS measures should ease following WTO accession, or at least be challengeable under WTO Dispute Settlement provisions. They are ignored in the empirical analysis below, as is the possibility that China itself may use quarantine measures to limit its imports of farm products.


The setting Rural developments since the late 1970s The unilateral decision in December 1978 to open up the Chinese economy was a major stimulus to economic growth: the pre-reform rate of per capita GDP growth of 3.1 per cent per year more than doubled, and has remained above 7 per cent for the past two decades (final row of Table 1). Rapid economic growth is normally accompanied by a relative decline in the farm sector, but in China that was initially tempered by the introduction of the farm household responsibility system (which led to the replacement of collective farms with individually managed holdings), and by the raising of prices received by farmers. So began the process of moving away from the taxing of agriculture relative to other sectors – a process followed by most of the advanced economies in the early stages of their industrialization (Anderson and Hayami 1986; Lindert 1991). Agriculture grew nearly as rapidly as industry from 1979 to 1984. However, the one-off efficiency effects of moving to the household responsibility system and raising relative prices for farm products were mostly reaped by the mid-1980s, after which agriculture grew at only onethird the pace of industry and less than half that of the service sector as industrialization boomed on the eastern seaboard (Table 1). Employment, output and exports of rural township and village enterprises, meanwhile, have boomed (Table 2). Despite that, migration of farm workers to rural industrial and service activities (not to mention the temporary migration to urban jobs such as in construction), the average farm size and the share of farm household income from farming have fallen steadily since the late 1970s (final two columns of Table 2). Table 3 shows the slowdown in the decline in agriculture’s shares of GDP and employment in the 1980s, and its subsequent acceleration in the 1990s. Income growth has boosted the demand for foods that are high in protein and nutrients relative to those high in carbohydrates, which has stimulated major structural changes within agriculture as farmers responded to changes in domestic demand. For example, livestock and fish increased their share of agricultural output from less that one-fifth in the late 1970s to two-fifths by the late 1990s (Table 3), while within the crop sub-sector, fruit and vegetable production grew two to three times as fast as grain output (Table 1). The prices and marketing of grain and oilseed products have continued to be highly regulated, whereas markets for horticultural, livestock and fish products have been greatly liberalized. This has accentuated the growth in output of the latter group relative to grain and oilseed output since the mid-1980s (Table 1). Meanwhile, the


direct consumption of grain by rural as well as urban households has virtually ceased growing (Table 4) -- a consequence not only of incomes rising but also of population growth slowing to less than 1 percent per year and of cuts in the implicit consumption subsidy for foodgrains. The use of grain for animal feeds continues to grow. To date that has been supplied almost completely by rising domestic production, such that the trend level of grain self sufficiency has remained close to 100 per cent. Table 5 shows that there are nonetheless considerable changes from year to year in grain exports and imports. It also shows that, overall, China has remained a net exporter of food and feed, with meat, fish, fruit and vegetables providing most of the growth in net export earnings. However, soybean imports grew substantially when the government (in anticipation of WTO accession) lowered the tariff from 114 per cent to 3 per cent in 2000. Recent and prospective policies affecting rural areas As in most developing countries, 3 agriculture in China was squeezed at early stages of industrialization with gross fiscal contributions to the sector being more than outweighed by implicit taxation in the form of depressed prices for farm products, neglect of public infrastructure in rural relative to urban areas, and capital outflows via the financial system (Huang and Ma 1998). Then price and other market reforms associated with China’s policy shift from a socialist to a market-oriented economy began to be introduced, starting with non-strategic commodities such as vegetables, fruit, fish, livestock, and oil and sugar crops. The aims of the early reforms were to raise farm level prices and gradually deregulate the market. As the right to private trading was extended to include surplus output of all categories of agricultural products after contractual obligations to the state were fulfilled, the foundations of the state marketing system began to be undermined (Rozelle et al. 1997). Despite periodic stop-go cycles in the reform process, the proportion of retail commodities sold at market prices has kept rising. According to Lardy (2001), the share for agriculture was just 6 per cent in 1978 but had risen to 40 per cent by 1985, 79 per cent by 1995 and 83 per cent by 1999. What have these policies meant for nominal rates of agricultural protection in China (the percentage by which domestic prices exceed prices at the country’s border)? Table 6 shows new estimates of nominal protection rates for key agricultural commodities for some recent years. It

See Sah and Stiglitz (1992) and Anderson (1995).


suggests rice, meat, fish and fruit and vegetables have been priced at less than border prices while other grains, oilseeds, sugar, cotton and milk have been priced at one-fifth to two-fifths above border prices. Maize and cotton also enjoyed export subsidies in 2001 (amounting to onethird and one-tenth of f.o.b. prices, respectively). Table 6 also shows what China has committed to in its WTO Protocol of Accession: tariff rate quota will apply to grains, sugar and cotton for which out-of-quota tariffs are quite high, but otherwise, after the phase-in period, the tariffs range between just 1 and 15 per cent – representing substantial liberalizations over 2001 levels. As well, producers of major crops may continue to be affected by commodity-specific policies of government procurement of a portion of the crop at lower than market prices (as in the past – see Sicular 1988) or at higher than market prices (as in 1998 – see Huang 1998 and Lu 1999). What will those reforms mean for agricultural trade? Many analysts have been expecting China to become ever-more dependent on agricultural imports in the course of the economy’s rapid industrialization over the past two-plus decades. Some extremists (e.g., Brown 1995) have even suggested China could seriously deprive other developing countries of food. Yet as reported above, net food import growth has not yet happened, at least not in a sustained way, and China has continued to be a net exporter of meat, fish, fruit and vegetables. Indeed on occasions in the latter 1990s, China also was a net exporter of grain and cotton (Table 5). How much of that is due to government policies that constrained domestic demand, including occasional export subsidies, is a moot point. In its WTO Protocol of Accession, China has agreed to have no agricultural export subsidies, and to limit its domestic support to farmers to 8.5% of the value of production (compared with 10% for other developing countries). The import market access commitments China has made to WTO members look substantial on paper. Tariff rate quotas will be retained only on wheat, rice, maize, edible oils, sugar, cotton and wool, domestic production of which in aggregate comprises only about one-sixth of China’s agricultural GDP. The quota volumes are to grow over the next three years at annual rates ranging from 5 to 19 per cent. A further commitment by China is that state trading monopolies will disappear (except for tobacco): even though some state trading enterprises will continue to operate, there will be competition from private firms in the importing and exporting of farm products, at least within the tariff-ratequotas.


Farmers and the rural sector more broadly will be affected also by China’s commitment to provide improved and WTO-bound market access for industrial products. Mineral and manufacturing tariffs will be bound and generally reduced on a broad basis, with many tariffs falling to 10% or less. Tariffs will be cut on accession and further cuts will be phased in by 2005 (with just a few exceptions). Furthermore, for industrial products, China will reduce significantly its non-tariff measures and eliminate all quotas, tendering and import licensing on non-farm merchandise by no later than 2005. Quotas on Chinese imports of automobiles and parts will grow by 15% annually from a level of around US$6 billion in 2000, and these quotas will be eliminated by 2005. For textiles and clothing, however, the current ‘voluntary’ export restraints will not be completely phased out until the end of 2008. Substantial commitments to open up services markets in China also have been made. Over the 1990s the average scheduled tariff rates for manufacturing initially exceeded but fell more than for agriculture, and by 2005 the manufacturing average will be well below that for agriculture (a simple average of 7 per cent, versus 17 per cent for agriculture). That does not give a true indication of the extent of change in protection that is taking place, though, because in the 1990s many manufactures have been entering China at reduced or zero tariffs via duty drawbacks, to encourage foreign investment in processing of imported intermediate goods for subsequent export. Some agricultural products also have entered at less than the scheduled rate, including through smuggling. What all this means for incentives for each industry is difficult to discern precisely, but it provides better information than has been available to date for analysing empirically the economic effects of the reforms associated with China’s WTO accession, including the impact on factor rewards and prices from which inferences about income distributional effects can be made. We do this bearing in mind the marked differences in per capita incomes between eastern, central and western provinces, and between urban and rural areas (as shown in Tables 7 and 8, and in Kanbur and Zhang 2001).


Applying the GTAP model Version 5 of the computable general equilibrium model of the global economy known as GTAP is used here.4 Being an economy-wide model, GTAP describes both the vertical and horizontal linkages between all product markets within the model's individual countries and regions as well as between countries and regions via their bilateral trade flows. For present purposes the 1997 data base is aggregated to 25 sectors and 20 regions and projected forward first to 2001 and then to 2007, using World Bank projections of population, income, and factor endowments (see Appendix Table A). The initial base case assumes China retains its protection policies as of 1995 and Taiwan retains its protection as of 1997, but that all other countries fully implement their Uruguay Round obligations on schedule before 2005. China’s trade policy changes between 1995 and 2001 are assumed to have been in anticipation of the requirements of, and hence part of, China’s WTO accession. These are analyzed in detail in Ianchovichina and Martin (2002), together with the effects of implementing over the next few years the remainder of China’s commitments as recorded in its WTO Protocol of Accession.5 In this paper we focus on just the additional reform commitments to be implemented after 2001 (relative to the revised base case in which China’s reforms only up to 2001 are in place and there are no further reforms to 2007). For key agricultural import policies these remaining reform commitments are assumed to shift nominal rates of protection (NRPs) from column 3 to column 6 of Table 6. As well, the export subsidies in place in 2001 (34 per cent for maize, 10 per cent for cotton) are to be eliminated, and we assume no new farm production subsidies are introduced.6 The choices of new agricultural NRPs fall into three categories: no change if they were negative in 2001 (rice, meats, vegetables and fruits), a move to part-way between the in-quota and out-of-quota tariffs if the TRQs bite
The GTAP (Global Trade Analysis Project) model is a multi-regional, static, applied general equilibrium model based on neo-classical microeconomic theory including full employment of all factors of production, constant returns to scale and perfect competition. See Hertel (1997) for comprehensive documentation. The Version 5 data base is described at www.gtap.org. The model is solved with GEMPACK software, described in Harrison and Pearson (1996). 5 A particularly important feature of their analysis is the inclusion of China’s duty exemptions in the base scenario, because otherwise the model would overstate the gains from tariff reductions. Tariff cuts are from 2001 applied rates to post-accession bound rates (or zero if the latter exceed the former). In this application the aggregate trade balance and government tax revenue are both assumed to remain a fixed share of GDP. The 2001 trade data are from COMTRADE, and the 2001 applied tariffs for China are from CDS Consulting Co. (2002). 6 Three non-farm reforms of importance are worthy of mention. The ‘voluntary’ export restraint on China’s textile and clothing exports to the U.S. and EU, expressed in the base scenario as taxes on those exports, are removed; restructuring of the motor vehicles and parts industry following WTO accession is modelled as a 20 per cent productivity boost to vehicle assembly, following Francois (2002); and liberalization of China’s services trade also follows Francois (2002).


(wheat, coarse grains, cotton), and otherwise a move to the new in-quota tariffs (oilseeds, sugar, milk). Sensitivity of the results concerning the first two categories are explored in the qualifications section, however. If this reform were to require a movement of unskilled labor out of farm activities, three impediments need to be kept in mind. One is that those farm workers would be less than perfect substitutes for those already in non-farm pursuits. Econometric work by Sicular and Zhao (2002a) suggested that restraints on mobility could be approximated via a CET function with an elasticity of transformation of 1.3.7 We have therefore incorporated that in the GTAP model for China. Another impediment to off-farm migration is that urban social welfare benefits such as subsidies to housing, food, education and health care are not available to non-urban people, except by purchasing a residence permit, or hukou (Zhao 1999). And the third impediment is that farm workers who permanently cut their ties with the rural sector may lose entitlement to returns from their family’s land, and even the direct support and assistance of family members (Hussain 2001). These latter two impediments have contributed to the persistence of a very large gap in farm versus non-farm returns to unskilled labor. After adjusting for differences in work effort, the analysis by Shi Xinzheng (2002) allows us to estimate that roughly one-third of the gap between urban and rural unskilled wages can be explained by the registration variable and differences in the cost of living.8 We have assumed that gap will persist even if workers do move off the farm in the initial simulation (although the sensitivity of the results to that assumption is explored in the qualifications section). The closure adopted here is a long-run one in which, in addition to the above assumptions about farm labor, nonfarm labor is mobile between nonfarm sectors, capital is mobile between sectors, and agricultural land is mobile between industries within the agricultural sector. This closure differs from the short –run closure used by Chen and Ravallion (2002), where a large number of households is examined, based on current occupational classes. With these modifications to the GTAP model, what results emerge from implementing after 2001 the remainder of China’s commitments to WTO members? Here we focus on comparing farm versus non-farm results. This is not quite the same as rural versus urban, given the large and growing

In a subsequent analysis, Sicular and Zhao (2002b) provide estimates of 2.67 for the “push” elasticity of transformation from changes in agricultural returns to changes in the supply of labor out of agriculture but only 0.6 from changes in non-agricultural returns. Ianchovichina and Martin (2002) conducted sensitivity analysis on the implications of changes in these parameters.


amount of non-farm rural activities (Table 2), but it is the best we can do with the GTAP model which does not distinguish activities by location within a country.9 What results can we anticipate? In a recent paper, Carter and Estrin (2001) develop a model with two sectors, agriculture and non-agriculture, that assumes capital is sector-specific and labor is intersectorally mobile. They assume the trade reform from China’s WTO accession will lower the relative price of non-farm goods (larger tariff cuts for non-farm than farm products). If the economy started from equilibrium in the labor market, that price change would lower labor’s wage in terms of farm goods and would cause labor to migrate from non-farm to farm activities. If, however, the economy starts from a situation in which farm workers face impediments to migrating to nonfarm employment, the wage in the non-farm sector would have exceeded that in agriculture. In that case, a fall in the relative price of non-farm products would lower the non-farm wage without changing the low farm wage (if both are again measured in terms of agricultural goods). If the government were to simultaneously remove the barrier to out-migration of farm labor, another welfare gain would accrue to the overall economy. Farm workers would benefit from trade reform alone in so far as they consume non-farm products whose price is lower after that policy change. They would benefit even more if the restraint on their migration were to be lifted. Non-farm workers, however, would suffer wage cuts in terms of farm products from each of those two policy changes, cuts that may offset the fall in the price of non-farm products they consume. Carter and Estrin therefore conclude that China’s rural-urban income inequality (at least for laborers) would be reduced from further trade liberalization and more so if the current policies that inhibit off-farm migration were relaxed. Neat though the Carter/Estrin analysis is, it ignores the differences between skilled, unskilled non-farm and unskilled farm workers. Also, its assumption that the incentive to produce non-farm relative to farm products will fall following WTO accession needs to be tested, since there will be some positive and some negative changes to the price of both sets of highly tradable products. Furthermore, the demand for difficult-to-trade products will rise following the income gains from trade reform, and their cost of production will change. Does the
Of this, 28 percent is explained by the registration dummy variable, and 6.5 percent by differences in living costs. For a more-detailed breakdown showing both farm and non-farm rural households, see Hertel, Zhai and Wang (2002).
9 8


Carter and Estrin conclusion, that WTO accession will reduce rural-urban income inequality, hold up when account is taken of these facts in a detailed empirical model such as GTAP? And how would poverty be affected, bearing in mind that there are considerable differences between the production structures and per capita incomes of western, central and eastern provinces (Table 7), rural incomes are only one-third of urban ones (Table 8), and 85 per cent of rural households in the bottom quartile of the income distribution are agricultural (Sicular and Zhao 2002a)? What do the results show? Our analysis begins with the core accession scenario, and then is followed by three variations on that core scenario. The core WTO accession scenario To begin with the bottom line of the main scenario before revealing the details, the core empirical results suggest increases in farm-nonfarm income inequality. The main reason for this is that opposite to the conclusion of Carter and Estrin the GTAP model suggests the relative producer prices of farm products will fall more than the prices of labor intensive non-farm products following the completion of WTO accession reforms (Table 9). Relative prices are lower for labor intensive non-farm products compared with what they would be without those remaining reforms -- despite the removal of the ‘voluntary’ export restraint on sales of those products to the U.S. and European Union – for three reasons: because the demand for labor on farms is lower which lowers the cost of unskilled labor in manufacturing, because import taxes on the intermediate inputs used in those manufacturing activities are lower due to the accession process, and because the real exchange rate effect of the tariff reductions lowers the cost of nontraded goods and other factors used as inputs in production. The lower cost structure in unskilled labor intensive manufacturing activities by 2007 causes the quantity of unskilled non-farm labor demanded to be greater (by 0.8 per cent); but lower farm product prices mean the quantity of unskilled farm labor demanded is less (by 1.7 per cent). A consequence of the reform is a 0.7 per cent fall in the real wage for unskilled farm labor, and a rise in real wages for unskilled non-farm labor of 1.2 per cent (after adjusting for the


change in the aggregate cost of living).10 Farmers are also made worse off by the lower demand for farm land, the return from which is 5.5 per cent lower in 2007 following WTO accession reforms. Meanwhile, the real wages of skilled labor increase by 0.8 per cent, and the rewards to non-farm capital are 1.3 per cent higher. Together these results suggest the owners of non-farm capital gain almost the same in proportional terms as unskilled laborers in non-farm employment, but the latter do better than skilled workers. Hence on balance income inequality may improve slightly among non-farm households dependent mainly on labor income.11 However, income distribution can be expected to worsen as between farm and non-farm households, although the degree depends on the proportion of farm household income earned off the farm. With only 1.7 per cent of (or about 6 million) unskilled farm workers leaving agriculture for non-farm work (because of the assumed impediments to out-migration), and with land returns depressed by 5.5 per cent in addition to farm labor returns being 0.7 per cent lower, the gap between farm and non-farm incomes even within rural areas, and certainly between rural and urban areas, looks set to rise slightly unless remedial policy action is forthcoming. For farm households entirely dependent on earnings from agriculture (type A in Table 10), income would fall 1.6 per cent on average. This would differ little across the three regions identified in Table 7, since product shares for farm output – when fish products are ignored – are reasonably similar in western, central and eastern provinces.12 For farm households earning 30 per cent of their income from nonfarm unskilled work, however, that income fall is only half as large (0.8 per cent); and for farm households earning 60 per cent of their income from nonfarm unskilled work, their incomes would not decline at all (types B and C in Table 10 -- see rows 7 and 8). Sectoral details of the GTAP results are summarized in Table 9. Real consumer prices are lowered most by WTO accession for motor vehicles, oilseeds and sugar (and for beverages and tobacco, although if China was using import taxes on those items as a form of consumption tax and their decline were to be matched by an increase in domestic sales taxation, those price


The present version of the GTAP model has only one aggregate household, so it cannot distinguish between the different consumption bundles and factor endowments of different types of households. Throughout, real price changes refer to the change in price relative to the consumer price index change, given the consumption bundle of the aggregate household. 11 Wages of skilled workers might increase more than suggested here as we do not capture the endogenous productivity growth resulting from the substantial liberalization of the service sectors. 12 However, if we look at northern and southern provinces in China, differences could be large since wheat, maize, soybean and cotton are planted primarily in northern China, while rice, horticulture, livestock and fish are raised mostly in southern China.


declines may not materialize). They are also lowered for textile products and to a lesser extent clothing. Among the farm products, consumer prices are raised slightly for livestock products, somewhat more for grains, and significantly for cotton (plant-based fibres). Producer prices are down more for farm products than for most other products except autos though, and farm output is down for all but cotton and meat. Moreover, feedgrain exports shrink by three-quarters and cotton exports by half with the abolition of export subsidies. The difference in the effects on production and consumption shown in Table 9 reveal that China’s food, feed and fibre selfsufficiency will be reduced at least slightly by these reforms. But the extent is really quite minor: the trade balance column in Table 9 suggests that for all agricultural and food products, net imports would be greater because of the remaining accession reforms by only $3.96 billion per year by 2007 (in 1997 US dollars), which represents only 1 per cent of total imports. The above results depend as always on the assumptions in the model. To check the sensitivity of some of those assumptions, three alternative scenarios were run to compare their results with those in the base accession scenario: greater agricultural protection cuts; removing negative agricultural protection; and removing the wedge between farm and non-farm wages. Alternative scenario 1: greater agricultural protection cuts What if the grain, sugar and cotton NRPs were to drop to the in-quota tariff levels shown in Table 6, for example? An additional GTAP simulation was run and the differences for factor rewards are not huge in aggregate but they would be in the direction of worsening income inequality: unskilled farm wages would fall 0.9 instead of 0.7 per cent and rewards to farm land would fall 6.4 instead of 5.5 per cent on the one hand, while on the other non-farm wages would rise 1.4 instead of 1.2 per cent for the unskilled and 1.0 instead of 0.8 per cent for skilled workers (Table 10). These changes would attract only another million workers from farms, given the assumed impediments of off-farm migration. But while agricultural incomes would be lower, farm household income would not fall if at least 60 per cent of its income came from wages of non-farm unskilled labor (see row 8 of Table 10). Domestic production of grains, sugar and cotton would be less though, and domestic consumption greater, so self-sufficiency in those products would be slightly lower. Even so, net imports of all food and agricultural products would be greater by only $1.5 billion per year by 2007 ($5.43 instead of $3.96 billion). Such an import increase would be within the tariff rate quotas for those items with the possible exception


of maize (depending on the extent to which other feedgrains that are not TRQ-restricted, such as barley, are substitutable for maize). National economic welfare would be only very slightly greater in this case as compared with the core scenario (see bottom row of Table 10). Alternative scenario 2: removing negative agricultural protection If the negative NRPs for rice, meats, vegetables and fruits were to be raised to zero, the income distributional effects would go in the opposite direction to those in the previous alternative scenario (less inequality between farm and non-farm households). The changes are not great though, even though these products account for nearly 40 per cent of the value of food and agricultural output in China. As can be seen by comparing columns 1, 2 and 3 of Table 10, they would involve about as much improvement in income distribution as the previous alternative scenario would worsen it. This case involves a 3 per cent larger national economic welfare gain than the core case (bottom row of Table 10). Alternative scenario 3: removing the wedge between farm and non-farm wages If one expected all off-farm migrants to go to rural rather than urban non-farm jobs, and if those migrants were just as adept at such non-farm work (e.g., because they are young or even just school-leavers and hence no different from other new entrants to unskilled rural non-farm work), the assumption above of a one-third wedge between farm and non-farm wages for the unskilled could be dropped.13 Rerunning the model without that assumed wedge has significant impacts on the estimated number of farm workers moving to non-farm employment and on the industry composition of China's economy. Approximately 28 million people would leave their farm jobs as a result of accession if that barrier to farm out-migration was removed, compared with the estimated 6 or 7 million people mentioned above when the hukou system remains in place. The impact on industry composition of removing that labor market distortion is substantial. WTO accession will have a much stronger positive impact on China's manufacturing and service sectors if the hukou system is abolished. This will allow more production of metals, automobiles and electronic equipment, and more services. That is possible in this scenario because factor use in farming and hence agricultural output are less, which also means more imports of food and agricultural products are needed ($10.2 billion by 2007 instead of the $3.96 in the core scenario).


Evidence of increased flexibility in China’s labor markets in recent times is presented in Lohmar (2001).


The consequences for income distribution are dramatic. Table 10 shows that this greater offfarm migration of workers would cause earnings of farm workers (mostly self-employed farmers) to rise because of WTO accession by 16.8 per cent, instead of falling by 0.7 per cent as in the core accession scenario. Even though the reduced demand for land would cause its rental value to fall more (9.7 instead of 5.5 per cent), the farmers’ overall earnings from agriculture would be 6.8 per cent greater in this scenario – in stark contrast to the core scenario where they fall. True, the earnings of all other factor owners fall in this scenario, particularly unskilled nonfarm labor (by 3.8 per cent). However, given that farmers are among the country’s poorest households, this scenario suggests that WTO accession would reduce income inequality and poverty if the labor market distortion associated with the hukou system were to be reformed. It also suggests that the boost to national economic welfare in aggregate could be greater if WTO accession were to be accompanied by labor market reform: $11 billion per year instead of just the $9.6 billion in the core accession scenario. Conclusions and policy implications The assumption in GTAP that all households are identical in their consumption patterns is of course a fiction. They differ as between urban and rural areas, between farm and non-farm households within rural areas, and within each of those groupings according to region and income level. Post-simulation analysis at that level of detail for the short run is provided in Chen and Ravallion (2002). But even without that detail, it is possible to draw some broad conclusions about the long run implications of WTO accession for agriculture and for income distribution. Our initial analysis assuming no reform of the hukou system affecting labor market suggests rural non-farm incomes will rise on average absolutely and possibly even relative to urban incomes in the case of households depending just on labor income (assuming urban laborers are more skilled). However, some farm households facing increased import competition may be worse off in this case, ceteris paribus, if they are: ? ? ? ? unable to send household members to jobs in expanding industrial and service industries; are too poorly served with infrastructure to attract such activities to their own region; are unable to diversify into producing farm goods whose relative price has risen; and/or do not have relatives able to repatriate non-farm earnings to them.


Thus in the core scenario the incidence of rural non-farm poverty will fall mainly because of the growth in wages for unskilled workers in rural non-farm activities, while poverty may well increase in agriculturally based hinterland provinces a long way from markets and in regions poorly served with the necessary infrastructure to attract investment in such expanding activities as textiles and clothing. The first alternative scenario shows that this situation would be exacerbated slightly if the TRQ-protected items (grains, sugar and cotton) were to become even less protected than we initially assumed. By way of contrast, the second alternative scenario suggests the situation could be made slightly less extreme by removing the negative protection affecting rice, meats, vegetables and fruits. But both of these alternatives only involve small changes to the magnitudes of effects, rather than altering the sign of those effects, and both add only a small amount to the aggregate gains from trade liberalization. What the third alternative scenario makes clear, by way of contrast, is that the sign of the effects could be switched to favor the poorer farm households – albeit at the expense of the richer non-farm ones – if the remaining WTO accession were to be accompanied by reform of the hukou system that allowed some members of those households to obtain higher-paying nonfarm employment and repatriate earnings back to their farm family. 14 And this case would involve a national economic welfare gain that is one-sixth above that in the core scenario without labor market reform. National self-sufficiency in food, feed and fiber will fall somewhat, particularly as demand for livestock products grows with income gains from trade reform and as production of natural fibre-based textiles and clothing expand. But overall, most of these self-sufficiency effects of the remaining reforms that are required following WTO accession are relatively very small in magnitude.15 They would be largest in the third alternative case where labor market distortions are also removed. That is not to say food security would fall in that case though. It is changes in incomes of the poor, and hence in their capacity to purchase food, that affect food

These alternative results for the long run complement the findings of Chen and Ravallion (2002) for the short-run. What they underscore is that whether a particular group gains or loses from a shock such as WTO accession in the long run depends heavily on their sources of household income and their capacity to adapt to the changed economic circumstances. 15 They are especially small when compared with the changes that are taking place in the course of normal economic growth, as shown retrospectively in Tables 1-5 above and prospectively in earlier analyses by Anderson et al. (1997a, b) and in Ianchovichina and Martin (2002).



security, and in that third alternative scenario the poorest aggregate group (farm households that had been heavily dependent on agriculture) would gain most. What else should be done if the labor market were not to be reformed? If in that case some farmers’ incomes are to worsen relative to those of non-farm households, and if there is concern about the fall in agricultural self-sufficiency, it does not follow that trade reform should be abandoned. Rather, first-best ways of dealing with those concerns should be sought (and with any transitory unemployment that might follow reform). The most efficient policy responses are likely to involve investments in rural human capital, rural infrastructure and R&D (Fan, Zhang and Zhang 2002), improvements in the land tenure system and rural financial markets, reductions in informal taxes/levies on farmers by local governments, and changes in grain marketing. First, the government might consider further investments in basic rural education and health services to reduce the adverse effect of trade reform on poverty incidence and perceived food security. Better education and health for farmers’ children not only boosts their farm productivity should they choose to stay on the farm after finishing school; it also increases their capacity to find more-lucrative off-farm work and to adjust to non-agricultural employment and living (Schultz 1975; Zhang et al., 2002). In addition to those longer-term benefits, there could also be an immediate poverty alleviating effect if the government were to cut basic school fees and make up the shortfall with a bigger direct grant to rural primary and middle schools. Second, improvements in rural infrastructure such as roads and rail mean that a larger share of the price eventually received at the end of the marketing chain for farm products can be passed back to farmers. Such improvements also lower the barrier for off-farm work by members of farm households, making it easier for them to take advantage of expanding employment opportunities in rural townships. Third, agricultural R&D can ease both urban and rural poverty (see Fan, Fang and Zhang 2001; Hazell and Haddad 2001). A boost in agricultural productivity could significantly offset the 2-8 per cent drop in agricultural production that is estimated in the core scenario to result from WTO accession. An important policy issue here is whether China should deny itself the use of GMOs in food production. Since our results suggest China would be exporting less food postWTO accession and beyond, there is less sense in banning food GMOs in China if such a ban were to be imposed simply because of fears of otherwise being denied access into food markets abroad (Anderson and Yao 2002; Huang et al., 2002).


Fourth, improvements in the land tenure system would not only increase the incentive to invest more in land but would also enhance the collateral of farm households. If accompanied by improvements in rural financial markets, investments by farmers back into agriculture would rise. They would rise further if returns were increased via reductions in informal taxes/levies on farmers by local governments. And fifth, the government might reduce its regulation of grain marketing and in particular cease compulsory procurement from farmers at less than market prices and reduce the provision of grain to urban consumers at less than market prices. De-empahsising the Governors’ grain responsibility system (provincial self-sufficiency) would allow more exploitation of comparative advantage within China too. If all that was considered insufficient support for incomes of the poorest farm households, short-term adjustment assistance via infra-marginal (and hence not output-inducing) producer price subsidies could be provided so as to boost their farm incomes without boosting farm output (in an equal but opposite way to that used to tax farmers in earlier decades –see Sicular 1988). Such an intervention could well be deemed WTO-consistent because of its decoupled nature, and in any case if it was just targeted to poor farmers it is unlikely to ever exceed 8.5 per cent of the value of China’s output of the product concerned (its de minimis exemption limit for productspecific support under Article 6.4 of the WTO’s Agreement on Agriculture). Finally, now that China is in the WTO it has the opportunity to take part in new rounds of multilateral trade negotiations, whereby it can seek increased market access for its exports of farm (and other) products abroad. While not taken into account in the present paper, if WTO membership enhances China’s chances of expanding its access to agricultural more than other markets abroad in the future, that would be a positive benefit of WTO accession for China’s farmers and rural areas. Martin (2002) points out that Chinese farm exports face particularly high barriers abroad, so this potential benefit is non-trivial in principle (although in practice it may be difficult to secure, especially if the main barriers are SPS measures). 16 That proposition was tested recently by Yu and Frandsen (2002), also using the GTAP model. They find that reductions in barriers to agricultural imports and in domestic support to farmers in OECD countries reduces the extent to which China’s farm output would fall with WTO accession and in


some cases leads to outputs expanding instead of contracting. As a consequence, China’s agricultural imports are reduced slightly and its agricultural exports are greater. These changes are reflected in Table 11: it shows that not only would China’s food self-sufficiency be higher with than without agricultural protection in the EU, US and Japan, but that the difference is in most cases more than enough to offset the fall in self sufficiency that is estimated to result from China’s WTO accession. Such reform in the OECD would clearly benefit farm households in China, providing a further pro-poor consequence of trade reform.


There is also the question of how China’s membership will alter the relative strengths of liberal versus protectionist forces in the next WTO rounds of multilateral farm trade negotiations. Mathews (2002) argues that China’s accession is likely to affect both sides, so the net effect is difficult to discern a priori.


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Table 1: Growth rates of China’s economy, 1970 to 2000 (per cent per year) Pre-reform 1970-78 Gross domestic product Agriculture Industry Service Food production volume Grain Oilseed crops Fruit Red meat Fish Value of output of non-farm rural enterprises Population Per capita GDP 4.9 2.7 6.8 na 2.8 2.1 6.6 4.4 5.0 na 1.80 3.1 1979-84 8.8 7.1 8.2 11.6 4.7 14.9 7.2 9.1 7.9 12.3 1.15 7.7 Reform period 1985-95 1996-00 9.7 4.0 12.8 9.7 1.7 4.4 12.7 8.8 13.7 24.1 1.43 8.3 7.9 3.4 9.6 8.3 0.03 5.6 8.6 6.5 10.2 14.0 0.91 6.9

Note: Figures for GDP in 1970-78 are the growth rate of national income in real terms. Growth rates are computed using the regression method. Growth rates of individual and groups of commodities are based on volume of production data, while sectoral growth rates refer to value added in real terms. Source: SSB, Statistical Yearbook of China, various issues; MOA, Agricultural Yearbook of China, various issues.


Table 2: Farm and rural enterprise (RE) developments in China, 1980 to 1999 RE’s share in rural labor (%) 1980 1985 1990 1995 1999 9 19 23 34 35 RE’s share in total GDP (%) 4 9 14 25 30 RE’s share in total export ( %) 0 15 43 48 48 Farm land size (ha/farm) 0.56 0.51 0.43 0.41 0.40 Non-farm income share (%) 17 25 26 37 47

Source: SSB, Statistical Yearbook of China, and China's TVE's Yearbook, various issues.

Table 3: The changing structure of China’s economy, 1970 to 2000 (per cent, based on current prices) 1970 Share of GDP Agriculture Industry Services Share of employment Agriculture Industry Services Share of agricultural output Crops Livestock Fish Forestry Share of population that is rural 40 46 13 81 10 9 82 14 2 2 83 1980 30 49 21 69 18 13 76 18 2 4 81 1985 28 43 29 62 21 17 69 22 3 5 76 1990 27 42 31 60 21 19 65 26 5 4 72 1995 20 49 31 52 23 25 58 30 8 3 71 2000 16 51 33 49 23 28 56 30 10 4 64

Source: State Statistical Bureau, China Statistical Yearbook, various issues; and China Rural Statistical Yearbook, various issues.


Table 4: China’s grain production, consumption and trade, 1980 to 1998 (million tons) 1980-89 Production Net imports Change in stocks Consumption Food – urban Food -- rural Feed Other (seed, industrial use, waste) 332 8 1 339 35 177 64 63 1990-94 396 -1 11 384 42 190 86 66 1995-98 442 6 45 403 44 191 98 70

Source: Huang (2001), based on SSB publications and the CCAP database.


Table 5: Structure of China’s food and feed trade (US$ million), 1980 to 1999




1995 473 1,349 61 2,875 281 3,399 321 523 351 290 522 454 10,899 18 97 60 609 3,631 185 935 74 423 92 110 2,596 8,828 455 1,252 1 2,266 -3,350 3,214 -614 449 -72 198 412 -2,142 2,071

1999 374 1,054 71 2,969 1,273 3,150 214 561 239 541 373 132 10,951 22 503 160 890 574 384 183 72 620 182 1,531 1,352 6,474 352 551 -89 2,079 663 2,766 31 489 -381 359 -1,158 -1,220 4,477

EXPORTS: 00 Live animals 384 304 430 01 Meat 361 448 791 02 Dairy products 71 57 55 03 Fish 380 283 1,370 04 423 1,065 614 Grains 05 Fruit and veg. 746 825 1,759 06 Sugar 221 79 317 07 Coffee and tea 328 435 534 08 Animal feeds 58 241 623 09 49 66 107 Other foods 22 Oilseeds na na na 4 Vegetable oils na na na TOTAL FOOD 3,021 3,803 6,600 IMPORTS: 00 Live animals 5 18 14 01 Meat 1 6 54 02 Dairy products 5 31 81 03 Fish 13 44 102 04 2,458 982 2,353 Grains 05 Fruit and veg. 48 52 83 06 Sugar 316 274 390 07 Coffee and tea 56 40 30 08 Animal feeds 14 83 182 09 2 23 46 Other foods 22 Oilseeds na na na 4 na na na Vegetable oils 2,918 1,553 3,335 TOTAL FOOD NET EXPORTS: 00 Live animals 379 286 416 01 360 442 737 Meat 02 Dairy products 66 26 -26 03 367 239 1,268 Fish 04 Grains -2,035 83 -1,939 05 Fruit and veg. 698 773 1,676 06 -95 -195 -73 Sugar 07 Coffee and tea 272 395 504 08 Animal feeds 44 158 441 09 Other foods 47 43 61 22 na na na Oilseeds 4 Vegetable oils na Na na 103 2,250 3,265 TOTAL FOOD Source: Mathews (2002), based on UN COMTRADE statistics.


Table 6: Nominal rates of protection (tariff or tariff equivalent), agricultural products, China, 1978 to 2000, (per cent) 1995 1997 2001 2007 in-quota tariff 1 1 1 11 3 15 1 12 11 2007 out-ofquota tariff 65 65 65 11 3 50 40 12 11 Assumed NRP in 2007 (core scenario) -3 12 32 -4 3 20 20 -15 11

Rice Wheat Coarse grains Vegetables & fruits Oilseeds Sugar Cotton Meats Milk

-5 25 20 -10 30 44 20 -20 30

-5 17 28 -8 28 42 17 -19 30

-3 12 20 -4 32 40 17 -15 30

Source: Based on research subsequently reported in summary form in Huang and Rozelle (2002). Table 7: Income, employment and agricultural output by region, China, 1998 and 2000 Western Provinces Income per capita (Yuan in 1998) Share of population that is rural (% in 1998) Share of labor force in agriculture (% in 1998) Share of national agricultural GDP (% in 2000) 4,090 81 64 17 Central Provinces 5,280 75 55 34 Eastern Provinces 9,690 71 45 49

Share of regional food output (% in 2000) due to: Rice 8 11 6 Wheat 5 5 4 Maize 5 5 3 Vegetables and fruits 11 10 14 Oilseeds 4 6 3 Sugar 0 0 1 Cotton 3 2 1 Dairy products 2 1 1 Other livestock products 20 19 17 Fish products 2 6 20 Other food, agricultural and forest products 40 35 30 TOTAL 100 100 100 Source: Center for Chinese Agricultural Policy’s CAPSIM Model and Carter and Estrin (2001). 28

Table 8: Income and its distribution, rural and urban China, 1980 to 1999 Real per capita income index Gini Rural Poorest Coefficient 20% 100 100 0.24 189 165 0.26 218 177 0.31 272 193 0.33 349 252 0.35 Real per capita net income (in 1999 yuan) Rural Urban Urban/rural ratio 616 2062 3.4 1193 2605 2.2 1380 3217 2.3 1702 4713 2.8 2210 5854 2.7

Year 1980 1985 1990 1995 1999

Note: The exchange rate was 8.28 yuan/US$ in 1999. Source: SSB, 1989-2000, and rural household income and expenditure surveys.


Table 9: Sectoral volume effects of China’s WTO accession reforms (core case), 2002 to 2007 (per cent and 1997 US$million)
Trade Household Balance Output consumption Exports Imports ($m)

Producer Consumer Prices prices

-2.1 -2.0 -2.3 -3.4 -7.9 -6.5 15.8 1.3 -2.0 -5.9 -33.0 -1.0 15.6 57.3 3.7 -2.3 -2.1 1.4 0.6 -2.1 0.0 0.9 -0.5 -2.0 -1.7 Source: Authors’ GTAP results.
Rice Wheat Feedgrains Vegetables and fruits Oilseeds Sugar Plant based fibres Livestock & meat Dairy Other food Beverages & tobacco Extractive industries Textiles Apparel Light manufacturing Petrochemical industry Metals Autos Electronics Other manufactures Trade and transport Construction Communication Commercial services Other services

-0.1 0.0 -0.1 0.1 0.9 0.6 -0.6 0.0 0.0 0.4 1.5 -0.2 0.7 0.5 0.0 -0.2 -0.3 1.0 0.5 -0.2 -0.3 -0.4 -0.4 -0.5 -0.3

6.1 -7.1 64 18.9 -10.1 174 -77.8 -2.4 -596 14.6 -6.3 214 29.8 20.9 -789 13.9 24.1 -73 -51.8 7.7 -189 15.5 -8.9 837 13.5 23.8 -143 11.4 62.6 -3460 9.7 112.4 -14222 7.5 -4.4 2088 32.7 38.5 -10366 105.8 30.9 49690 5.9 6.8 1786 3.1 11.8 -8810 3.7 6.8 -1893 27.7 24.0 516 6.7 6.8 453 4.1 18.9 -11291 0.8 -0.4 493 2.7 17.5 -436 -0.5 10.9 -56 -0.4 35.4 -1749 1.4 33.6 -1525

-0.9 -1.7 -1.9 -1.9 -2.8 -1.9 0.1 -1.6 -1.5 -1.7 -1.8 -0.7 -1.7 -0.5 -0.9 -0.7 -0.4 -3.9 -1.3 -0.5 -0.2 -0.2 0.1 0.2 -0.1

0.9 0.4 1.9 -0.1 -4.7 -3.1 3.1 0.2 0.2 -1.8 -6.9 1.2 -3.2 -1.9 0.0 0.8 1.3 -4.2 -1.7 0.8 1.6 1.7 1.9 1.9 1.6


Table 10: Change in China’s real factor prices and national economic welfare due to WTO accession, 2001 to 2007 (per cent, welfare in 1997 US$ billions)
Alternative 2: Alternative 1: core case plus Alternative 3: core greater also removing case plus also Core accession agricultural negative agric removing labor market distortion case protection cuts protection -0.7 -0.9 -0.5 16.8 -5.5 -6.4 -4.7 -9.7 1.2 1.4 1.1 -3.8 0.8 1.0 1.5 -1.7 1.3 1.5 1.5 -1.4 -1.6 -0.8 0.1 9.56 -1.9 -0.9 0.1 9.57 -1.3 -0.6 0.1 9.87 6.8 3.6 0.4 11.05

Farm unskilled wages Rental price of land Nonfarm unskilled wages Skilled labor wages Rental price of capital Farm householda income-A Farm householda income-B Farm householda income-C National economic welfare ($ billion increase)

Farm income from agriculture is made up of 57% from unskilled labor, 26% from land and 17% from capital, according to the GTAP database. In 1999 on average 51% of rural household income in China was earned outside agriculture, mostly from unskilled labor. Therefore, to illustrate the importance of those off-farm earnings, three types of farm households are shown in this table: it is assumed nonfarm unskilled labor contributes 0% of farm household income for type A, 30% for type B, and 60% for type C. Source: Authors’ GTAP results.

Table 11: Effect on agricultural self sufficiency of China’s WTO accession without and with cuts in agricultural protection in OECD countries (domestic production as a percentage of domestic consumption) Base case (no WTO accession for China) China’s WTO accession with no change in OECD policies 99.4 88.2 98.1 99.7 81.3 77.4 83.7 88.2 97.8 80.0 China’s WTO accession with EU, US and Japan removing agric tariffs, exports subsidies and domestic support 99.6 89.1 99.6 99.9 82.3 82.9 83.9 89.4 98.9 84.9

Rice Wheat Feedgrains Vegetables and fruits Oilseeds Sugar Plant-based fibres Ruminant meat Non-ruminant meat Dairy products

99.9 93.0 98.1 99.7 81.0 77.2 83.8 88.5 97.7 81.8

Source: Yu and Frandsen (2002, Table 4).

Appendix Table A: Cumulative (and annual) percentage growth rates over the period 1997-2007
Unskilled Skilled Capital Manufacturing Labor Labor TFP* North America 11 11 12 49 High (1.05) (1.08) (1.11) (4.07) Western Europe 0 -1 1 30 High (0.03) (-0.08) (0.07) (2.69) Australia/New Zealand 10 12 10 55 High (0.98) (1.14) (0.99) (4.45) Japan 1 -2 -7 35 Medium (0.06) (-0.19) (-0.71) (3.02) China 8 13 50 174 High (0.81) (1.26) (4.15) (10.62) Taiwan, China 9 11 14 96 High (0.86) (1.05) (1.36) (6.97) Other NICs 10 -1 55 88 Medium (0.93) (-0.10) (4.47) (6.53) Indonesia 16 17 123 25 Low (1.50) (1.59) (8.36) (2.27) Vietnam 15 32 36 111 Medium (1.40) (2.79) (3.10) (7.78) Other Southeast Asia 18 22 134 60 Low (1.70) (2.04) (8.87) (4.83) India 18 23 78 88 Medium (1.67) (2.10) (5.92) (6.54) Other South Asia 25 30 80 72 Medium (2.22) (2.69) (6.06) (5.55) Brazil 14 19 72 31 Medium (1.31) (1.77) (5.60) (2.75) Other Latin America 18 6 90 54 Low (1.68) (0.57) (6.65) (4.42) Turkey 16 19 107 55 Low (1.47) (1.75) (7.55) (4.46) Other Middle East & North Africa 24 37 67 28 Low (2.16) (3.23) (5.24) (2.50) Economies in Transition -1 6 9 33 High (-0.11) (0.56) (0.90) (2.88) South African Customs Union 15 31 47 34 Low (1.39) (2.76) (3.92) (2.94) Other Sub-Saharan Africa 30 40 54 38 Medium (2.65) (3.42) (4.42) (3.26) Rest of World 18 23 35 68 Low (1.63) (2.10) (3.05) (5.32) *The low, medium, and high growth assumptions for total factor productivity (TFP) in manufacturing correspond to annual growth rates of 0.1%, 1.0%, and above 2.0% (between 2% and 4%), respectively. Regions Population

Source: Ianchovichina and Martin (2002)


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