Compliance and market exclusion in Brazilian agriculture: Analysis and implications for “soft” governance

“Soft” or “hybrid” governance holds considerable promise in attempts to reconfigure state-market-society relationships toward improved environmental outcomes. “Soft” governance processes in Brazil's globally competitive, high-input/output agriculture sector have major implications for landuse policies. Here we identify and analyze two emergent processes, a compliance regime and bioregion-based market exclusion approach, that stand out amid a background of conflicts between agricultural land uses and environmental regulation. We address the effectiveness of “soft” governance, using a framework that focuses on interactions among state and non-state actors, use of geographic information, relations to global processes, and discourse. These policies may play an important role in bridging the divide between environmental and agricultural interests, but market and state actors, and the uneven effects of globalization, will influence effectiveness. Our framework for analyzing governance processes should complement future work that directly measures environmental outcomes.     

Controlling deforestation in the Brazilian Amazon: Regional economic impacts and land-use change

Brazil confirmed targets for reducing greenhouse gas emissions in 2008, including an 80% reduction in deforestation in the Amazon by 2020. With this in mind, we investigated the trade-off between environmental conservation and economic growth in the Amazon. The aim of this study is to project the economic losses and land-use changes resulting from a policy to control deforestation and the rise in land productivity that is necessary to offset those losses. We developed a Dynamic Interregional Computable General Equilibrium Model for 30 Amazon regions with a land module allowing conversion between types of land. The results have shown that the most affected regions would be soybeans and cattle producers as well as regions dominated by family farms. To offset these impacts, it was estimated that an annual gain of land productivity of approximately 1.4% would be required.     

Farm size,productivity and returns to scale in agriculture revisited: a case study of wine producers in South Africa

The inverse relationship between farm size and productivity has almost become a ‘stylised fact’ in the economic development literature. Most of the studies contributing to this preception have been Hawed by methodological shortcomings and the request is that these studies be treated with caution. Using recent farm survey data from the wine producing areas of the Western Cape of South Africa, this study attempts to overcome some of the methodological problems, distinguishing between partial and total productivity measures. Using data envelopment analysis, most of the wine grape producers were found to operate under constant returns to scale. Co-operative membership seemed to overcome the economies of scale associated with processing and marketing. The inverse relationship between farm size and both land productivity and total factor productivity is weak, not consistently negative and differs between regions. Thus, caution must be used when advocating rural development policies based on the inevitability of an inverse relationship existing in all sectors and production regions of agriculture.     

Land change in the Brazilian Savanna (Cerrado), 1986–2002: Comparative analysis and implications for land-use policy

The Brazilian Cerrado, a biodiverse savanna ecoregion covering 1.8 million km² south and east of the Amazon rainforest, is in rapid decline because of the expansion of modern agriculture. Previous studies of Cerrado land-use and land-cover (LULC) change imply spatial homogeneity, report widely varying rates of land conversion, use ambiguous LULC categories, and generally do not attempt to validate results. This study addresses this gap in the literature by analyzing moderate-resolution, multi-spectral satellite remote sensing data from 1986 to 2002 in two regions with identical underlying drivers. Unsupervised classification by the ISODATA algorithm indicates that Cerrado was converted to agro-pastoral land covers in 31% (3646 km²) of the study region in western Bahia and 24% (3011 km²) of the eastern Mato Grosso study region, while nearly 40% (4688 km² and 5217 km², respectively) of each study region remained unchanged. Although aggregate land change is similar, large and contiguous fragments persist in western Bahia, while smaller fragments remain in eastern Mato Grosso. These findings are considered in the current context of Cerrado land-use policy, which is dominated by the conservation set-aside and command-control policy models. The spatial characteristics of Cerrado remnants create considerable obstacles to implement the models; an alternative approach, informed by countryside biogeography, may encourage collaboration between state officials and farmer-landowners toward conservation land-use policies.     

论中国传统农业的"效率空间"及相关问题

本文提出一个“效率空间”的概念 ,然后从农业起源方式、生活方式和继承制度等三个方面 ,论证中国传统农业不存在效率空间 ,是一种“效率”较高但是没有“效率空间”的农业类型 ,而西方古代农业是一种“效率”较低但是有“效率空间”的农业类型。文章还认为 ,黄宗智教授的“过密型增长”是一种比较典型的、晚期的表现形式。实际上 ,早在秦汉时期 ,中国单一种植业占主导地位的生产模式 ,无需太多的土地即可养活较多的人口 ,对劳动力有较高的需求 ,局部地区已经出现“过密型增长” ,只是因为存在异地移民 ,才使得这种“过密”表现得较隐蔽。近代以后 ,中国东南地区已经无可垦之地 ,才会出现典型的“过密型增长”。     

Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture

The paper estimates the impacts of climate change, agroecological and socio-economic characteristics on agricultural productivity and efficiency changes in Bangladesh agriculture using a rich panel dataset of 17 regions covering a period of 61-years (1948–2008). Results revealed that land has the most dominant role in increasing agricultural production followed by labour and irrigation. The contribution of non-cereal crops (i.e., potatoes, pulses, oilseeds, jute and cash crops) to total production are also significant, ranging from 2 to 8% per annum. An increase in annual-rainfall and long-term-temperature (LTT) significantly enhance production. Production is significantly higher in floodplain agroecologies. However, production efficiency fluctuated sharply and declined overtime. The mean efficiency score of 0.74 implies substantial room to improve production by resource reallocation. Average farm size, crop specialization and investment in R&D significantly improve efficiency whereas increases in annual temperature-variability and LTT significantly reduce efficiency. Efficiency is significantly lower in low-lying floodplain and coastal-plain agroecologies. Policy implications include investments in diversifying cropping portfolio into other cereals (i.e., wheat and maize), research to develop crop varieties suited to changing climatic conditions and specific agroecological regions, and land/tenurial reforms to consolidate farm size to enhance productivity and efficiency of Bangladesh agriculture.     

A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania

This article presents insights into the efficiency of Lithuanian family farms. The research covers the years 2004–2009 and is based on farm‐level Farm Accountancy Data Network data. Bootstrapped data envelopment analysis was employed to obtain efficiency scores, whereas stochastic kernels and multivariate methods, viz. fuzzy clustering and nonparametric regression, were utilized to assess the impact of selected determinants on efficiency. Clustering analysis indicated that the efficiency change paths specific for the analyzed sample differed in both their average levels and ranges. Furthermore, it was concluded that Lithuanian agricultural policy should focus on increasing the efficiency of crop farms. Cluster analysis suggested that production subsidies might be having a negative effect on efficiency.     

An application of IDEA to wheat farming efficiency

Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data assume the form of specific numerical values. In some applications, however, the data may be imprecise. That is, all the input and output data cannot be exactly obtained due to the existence of uncertainty. They are only known to lie within specified intervals. A DEA model with imprecise data or, more compactly, an Imprecise DEA (IDEA) model proposed in this article to evaluate efficiency for each DMU. The article is illustrated with an application to Iranian wheat producer provinces.     

Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach

Achieving sustainable food security and increased farm income will depend on how efficient production systems are in converting available inputs to produce outputs. Using data from Malawi, we estimate a Bayesian directional technology distance function to examine the relationship between farm size and technical efficiency. Our results support the existence of an inverse relationship between farm size and productive efficiency, where small farms are more efficient than large farms. On average, farms exhibit inefficiency levels of 60%, suggesting that productivity could be improved substantially. Improving productive efficiency and food security will require farms to operate in ways where the size of cultivated area is matched by nonland production inputs such as labor, fertilizer, and improved seeds. The results highlight the need for policies that could incentivize farmers to adopt productivity‐enhancing technologies and, where possible, to allocate excess land to lease markets.     

基于DEA的家庭农场生态经济效率评价——以公安县长江村为例

农户是农业生产的基本单元,开展农户的农业生态经济效率评价是控制农业面源污染、实现农业科学经营的关键。通过构建农业生态经济效率的评价指标体系,运用数据包络分析的方法对红安县长江村的农户生态经济效率进行分析评价。得出长江村农户的农业生态经济规模效率较高、纯技术效率较低,生态经济效率达到最优的农户相对较少。应加强农业的技术支持,提高农业的科学管理。     

Chinese investment in the Brazilian soybean sector: Navigating relations of private governance

This paper examines how Chinese agribusiness firms are engaging with established systems of private governance in the Brazilian soybean sector and how that engagement is variously accommodated, contested, and configured by local realities that reflect the uneven history of transnational agribusiness development across the Brazilian agro‐export region. Using qualitative data collected at three research sites that represent different historical moments in the Brazilian agro‐export region (Mato Grosso, Goiás, and Bahia), the paper argues that the social structures underlying the particular agrarian histories of these three subregions create unique contexts Chinese firms must navigate, which in turn shapes their engagement with the private agribusiness regime across space. Although the private agribusiness regime is often portrayed as a top‐down system of governance that subjugates the polity to the demands of capital, this framing neglects to understand how that system of power is contested, negotiated, and reshaped on the ground. These three cases serve to historicize the uneven penetration of Chinese firms across the Brazilian soybean sector.     

Stochastic frontier analysis of productive efficiency in China's Forestry Industry

Forest resources are vital to the development of green economics. Given the booming development of China's forestry industry and its ambitious reforestation efforts in the developing world, this paper is the first to use the output distance function to synthetically consider the economic and ecological outputs of China's forestry industry, and discuss its productive efficiency with a stochastic frontier model. Control and environmental variables are incorporated to capture heterogeneity in China's forestry industry, which helps us get an unbiased estimation. The empirical results show that there was no obvious efficiency disparity among China's economic regions except Northeastern China, and the state-owned forestry structure has a significantly negative effect on productive efficiency in China's forestry industry. Moreover, provinces with poor productive performance in the forestry industry such as Inner-Mongolia, Heilongjiang, and Hebei have been identified and their individual characteristics regarding productive efficiency have also been analyzed. The findings in this paper have targeted and practical implications for the development of China's forest green economy.     

The agricultural,environmental and socio-political repercussions of Brazil's land governance system

Although many contemporary studies of agriculture associate larger properties with higher relative productivity, this assumption has limited relevancy for the analysis of situations in which property owners profit more from large-scale property accumulation itself rather than any superiority in exploitation opportunities offered by increased size. In Brazil, the efficiency-of-scale paradigm has been used to criticize peasant agriculture as unproductive and hide contradictions deriving from land concentration. As this paper argues, however, small-scale agriculture is actually responsible for most of Brazil's food production, rural employment and agricultural income. The paper utilizes a land governance perspective to analyze the implementation of structural reforms aimed at turning back the land monopolization tide as well as efforts to weaken long-standing legal principles that socially condition individual property “rights” in Brazil.     

Farm size,relative efficiency and agrarian policy in Côte d'Ivoire: profit function analysis of rice farms

This paper examines the relative economic efficiency of small and large rice farms in Côte d'Ivoire using a profit function approach. No differences in the relative economic efficiency of small and large farms were found. This conclusion is robust under alternative model specifications. Agrarian reforms directed towards further concentration of landholding for large farms in Côte d'Ivoire cannot be justified based on economic efficiency. Results show that access to credit and use of modern rice varieties significantly increase profits. To improve technical efficiency of rice farms, an accelerated program to provide information, credit, improved seeds and other inputs is needed. When all the farms (i.e. large and small) are taken together, there is evidence of allocative inefficiency. Strategies are needed to remove such management related inefficiencies in rice production either through the development of a better market price information system or effective farmer-oriented technical training programs by rice extension workers.     

港口体制改革前后中国港口效率演化研究

论文利用数据包络分析法(DEA)对我国主要港口2000~2010年间的经营效率进行分析。结果表明,港口体制改革之后我国港口吞吐量增长迅速,但运营效率变化并不十分明显。通过生产率指数分析和效率改进分析发现,港口平均综合技术效率的变化并不明显,并且实际投入值远远大于有效投入值。这说明港口体制改革之后,我国港口行业出现了无序竞争、港口建设规模不合理、投入拥挤等问题。最后有针对性地提出了改善我国港口营运效率的政策建议。     

Environmental efficiency and the impact of regulation in dryland organic vine production

Organic agriculture figures prominently in the policies adopted by the EU to improve the environmental impact of agriculture. It may also potentially provide other benefits such as high-quality, health-enhancing food products and advancements in rural development. Recent years have brought new research to assess the environmental and economic implications of organic conversion. Economic efficiency comparisons between organic and conventional farms have been extended to include environmental performance. The inclusion of this variable in efficiency analysis may be useful when assessing the potential impact of suggestions to improve environmental regulations and policies. This paper applies the environmental efficiency model to the analysis of different technologies and calculates productivity and efficiency with and without environmental impacts. In the empirical part of the paper Data Envelopment Analysis (DEA) and bootstrap techniques are applied to detect and measure differences between organic and conventional agriculture aggregate efficiency and productivity in a sample of vineyard farms operating in semiarid, non-irrigated conditions in Navarre (Spain), taking farms’ nitrogen surplus and pesticide toxicity indicators to consideration. The results for these particular agronomic conditions suggest that organic agriculture is more environmentally efficient than conventional agriculture in dryland farming, in that it achieves a more favorable production to environmental impact ratio. Nevertheless, conversion to organic production methods for extensive vine cultivation under arid conditions does not guarantee substantial environmental gains, since the organic farms in our sample do not display inferior levels of pollution emissions per unit input as extensive conventional production. The overall environmental efficiency of organic farming is largely attributable to the fact that organic farms come closer to the frontier of their own technology. We find no significant technological differences in environmental productivity, however. In terms of policy implications, these findings suggest that the tightening of specific environmental restrictions in organic standards should involve consideration of technological differences in environmental productivity between organic and other alternative technologies. If organic technology is less productive, more restrictive regulation could undermine the economic viability of farms, and thus undermine the other benefits of organic farming. The results also indicate that, at the local level, it could be convenient to address part of organic subsidies to further improvements in the control of pollution from fertilizers and pesticides.     

The impact of deforestation,urbanization, public investments,and agriculture on human welfare in the Brazilian Amazonia

The relationship between human welfare and deforestation in the Brazilian Amazonia has traditionally been thought to follow a boom-and-bust pattern. According to this pattern, forest clearing triggers rapid increases in human welfare levels (“the boom”) due to short-term economic gains; these levels then drop to below national or regional averages (“the bust”) after the forest stocks have declined, thus causing the local populations to become deprived of ecosystem services. However, recent studies have questioned the validity of this boom-and-bust pattern. In this paper, we use panel data and simultaneous autoregressive models to evaluate the effects of deforestation, urbanization, public investments, agriculture, and state policies on temporal changes in human welfare that occurred across multiple municipalities in the Brazilian Amazonia from 2005 to 2012, a period during which governments implemented a set of strategies aimed at controlling deforestation across the region. We found that: (a) signals of a boom-and-bust pattern are weak at the regional level, and therefore this pattern cannot be generalized across the entire region; (b) human welfare is increasing more rapidly in low-development municipalities than in high-development cities, and all municipalities are converging on at least one regional average rather than on a national average; (c) urbanization does not lead to positive changes in human welfare, which indicates that the infrastructure available in regional urban centers is limited; (d) public investments are negatively associated with human welfare growth, thus signifying that if public investments are not used to leverage the potential of other sectors of the local economy, human welfare will not improve; (e) agriculture is negatively associated with positive changes in human welfare at the local level, possibly due to the dominance of cattle-ranching as the predominant economic activity of this sector; and (f) state-level policies matter, and future analyses of regional trends in the realm of development and conservation across this region should take such policies into account. Finally, we suggest that although human welfare and deforestation retain a weak statistical relationship, we cannot contend that they have been fully decoupled. Forest loss across the region is still pervasive, and institutions are too weak to sustain the transition from a frontier development model to a conservation-centered model.     

The new economic geography of land use change: Supply chain configurations and land use in the Brazilian Amazon

In this paper we present a framework for understanding regional land use processes by incorporating the concept of agglomeration economies into agricultural frontier theory. We show that agricultural firms can obtain positive externalities from locating in close proximity to other agricultural firms, leading to agglomeration economies. Agglomeration economies lead to high levels of competition and diversity within a local agricultural supply chain and influence local prices, information flows, and private enforcement of environmental institutions. We use the theory of agglomeration economies to understand the development of soybean production in two counties along the Santarém-Cuiaba (BR-163) highway in the Brazilian Amazon: Santarém, Pará and Sorriso, Mato Grosso. We conclude that differences in environmental and land tenure institutions influenced the occurrence of agglomeration economies in these two counties, which in turn affected the total factor productivity of soy in each region. In particular, the supply chain became extremely competitive and diverse in Sorriso where few environmental regulations existed, while environmental restrictions reduced the diversification of the supply chain in Santarém. The presence of a soy agglomeration economy in Sorriso spurred innovation, increased productivity, and led to extremely rapid soy expansion in that county, while the monopolistic supply chain in Santarém reduced producers’ access to land and capital and impeded soy expansion.     

The Extent, Pattern, and Degree of Market Integration: A Multivariate Approach for the Brazilian Rice Market

The extent, pattern, and degree of integration are analyzed in a multivariate system with cointegrating restrictions. The extent of the market is found by identifying locations that are linked by trade and where prices share identical long run information (permanent component). The pattern of integration characterizes interdependence and is analyzed by estimating a vector error correction model. The degree of integration is calculated with persistence profiles of the long run relations. We demonstrate that bivariate models are inadequate for capturing the spatial dynamics of price adjustment. The methodology is applied to the Brazilian rice market and policy implications are discussed.