the adoption of reduced tillage the role of human capital and other variables this paper presents a model of adoption behavior and explains differences econometrically in farmers decisions to adopt reduced tillage practices and in the efficiency of farmers adoption decisions the empirical results obtained from microdata show that the probability of adopting reduced tillage in corn enterprises differs widely across farms and depends on soil characteristics cropping systems and size of farming operation the results also show that farmers schooling enhances the efficiency of the adoption decision

integrating technology traits and producer heterogeneity a mixed multinomial model of genetically modified corn adoption this article proposes a model of technology adoption that integrates demand for individual traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics the model is applied to recent genetically modified corn adoption data from minnesota and wisconsin farmers using a mixed multinomial logit mmnl model to estimate the effects of traits and farm and farmer characteristics on adoption outcomes this approach allows explicit recovery of estimates of farmers shadow prices for individual technology traits results show the importance of producer and regional heterogeneity in preferences for seed traits

human capital producer education programs and the adoption of forward pricing methods using a sample of 509 kansas producers we evaluate factors affecting adoption of forward pricing methods we focus on producers human capital accumulation and its effect on adoption of forward pricing techniques probit models are employed to evaluate producers participation in educational programs and their forward pricing adoption decisions tobit models are employed to evaluate individual levels of adoption of these techniques in the marketing of wheat corn grain sorghum soybeans and cattle

estimating the demand for a new technology bt cotton and insecticide policies this article examines the potential demand for bt cotton in the southeast from information gathered in the first year of commercialization we combine revealed preference rp data on adoption of bt cotton varieties with stated preference sp data on willingness to adopt to estimate demand using a double bounded maximum likelihood procedure using estimated demand equations we simulate the costs of reducing conventional insecticide applications through subsidization of bt cotton results indicate that reducing cotton insecticide applications by 40 in the southeast would require a 21 acre subsidy with total annual program costs between 53 million and 60 million

the impact of perception and other factors on the adoption of agricultural technology in the moret and jiru woreda district of ethiopia the objectives of this study are to examine both the significance of the impact of farmers perceptions regarding new technology for the adoption decision and how perceptions themselves are influenced by the decision to adopt new technology the study is based on data from 96 wheat farms in the moret and jiru woreda district of ethiopia the probit approach is used to analyse the adoption decision while the variables relevant to farmers perceptions are modelled using the ordered probit methodology a simultaneous equations model combining the probit and ordered probit approaches provides a useful approach to modelling the two way relationship between perception and adoption variables such as farm size farm income and soil type have a key role to play in the model perception is measured by eight different components and as there is a strong collinearity among these various measures a principal components analysis is attempted to draw the best possible linear combination of variables

the impact of soil conservation and output diversification on farm income in central american hillside farming this article analyzes the determinants of farm income among hillside farmers participating in natural resource management projects in el salvador and honduras the farm income function was evaluated using a system of equations in which income is determined simultaneously by the farmer s decision to adopt soil conservation technologies and by the level of diversification number of agricultural activities on the farm the database used comes from surveys administered to 678 beneficiaries of these projects during 2002 the econometric results suggest that all the variables related directly to land use i e output diversification soil conservation practices and structures and the adoption of forestry systems have a positive and statistically significant association with farm income also farmers who own land enjoy higher farm incomes than those who do not the results indicate that when investing in natural resource management projects governments and multilateral development agencies should pay close attention to output diversification land tenure and human capital formation as effective instruments in increasing farm income

productivity and land enhancing technologies in northern ethiopia health public investments and sequential adoption the adoption of more efficient farming practices and technologies that enhance agricultural productivity and improve environmental sustainability is instrumental for achieving economic growth food security and poverty alleviation in sub saharan africa our research examines the interaction between public investments community health and adoption of productivity and land enhancing technologies by households in the northern ethiopian state of tigray agricultural technology adoption decisions are modeled as a sequential process where the timing of choices can matter we find that time spent sick and opportunity costs of caring for sick family members are significant factors in adoption sickness through its impact on household income and labor allocation decisions for healthcare and other activities significantly reduces the likelihood of technology adoption our findings suggest that agencies working to improve agricultural productivity and land resource conservation should consider not only the financial status of potential adopters but also their related health situation

conservation agriculture organic marketing and collective action in the honduran hillsides conservation agriculture ca is often perceived to provide win win outcomes for farmers leading to reduced erosion and off site sedimentation as well as improved soil fertility and productivity however adoption rates for ca in many regions of the world remain below expected levels this article looks at the effects of participation in organic markets and farmers organizations on the adoption of soil conservation practices based on original survey data from 241 small scale farm households in honduras we find that both participation in organic markets and farmer based groups have positive effects on the number of soil conservation practices adopted the results indicate that besides supply oriented policy measures such as the provision of technical assistance and extension demand related factors are likely to play an important role in sustainable soil management demand oriented policy measures include support for labeling initiatives and consumer education to facilitate value added product differentiation and market segmentation jel classifications q01 q12 q13 q16

sequential adoption of site specific technologies and its implications for nitrogen productivity a double selectivity model this paper analyzes the sequential decision to adopt two site specific technologies soil testing and variable rate technology and the impact of adoption on nitrogen productivity the results indicate that while farm location was a key variable influencing adoption of soil testing farm size human capital and innovativeness of farmers had a significant impact on adoption of variable rate technology in four midwestern states a double selectivity model applied to correct for sample selection bias shows that adoption leads to significant gains in nitrogen productivity for farms with below average soil quality but statistically insignificant gains for farms with above average soil quality copyright 2001 oxford university press

review the economics of soil health abstract soil health plays an important role in agricultural productivity food quality environmental resiliency and ecosystem sustainability consequently there is great interest from policymakers for evidence based research on the benefits and costs of investing in healthy soils in this article i endeavor to build a common understanding between economists soil scientists and policymakers about how to pursue research on the economics of soil health first i summarize the current understanding of soil health as a holistic and multidimensional concept beyond that of mere soil fertility second i argue that optimal control models are particularly well suited to capture the underlying economics of soil management finally i outline relevant implications of such an approach for setting soil health policy

attitudes and farmer conservation behavior conservation behavior is influenced by the attitudes of farmers and by context variables like income and farm terrain important attitudes were selected by using the theory that fundamental value ranks or weights affect attitudes and that only certain values are important to the conservation decision an extension of the tobit estimation approach handling both censored observations of the dependent variable and measurement error for the nonlimit observations was used conservation behavior models can be improved with a merger of concepts and approaches from social psychology and economics

location and uptake integrated household and gis analysis of technology adoption and land use with application to smallholder dairy farms in kenya abstract gis derived measures of location and space have increasingly been used in models of land use and ecology however they have made few inroads into the literature on technology adoption in developing countries which continues to rely mainly on survey derived information location with all its dimensions of market access demographics and agro climate nevertheless remains key to understanding potential for technology use the measures of location typically used in the adoption literature such as locational dummy variables that proxy a range of locational factors now appear relatively crude given the increased availability of more explicit gis derived measures this paper attempts to demonstrate the usefulness of integrating gis measures into analysis of technology uptake for better differentiating and understanding locational effects a set of gis derived measures of market access and agro climate are included in a standard household model of technology uptake applied to smallholder dairy farms in kenya using a sample of 3330 geo referenced farm households the three technologies examined are keeping of dairy cattle planting of specialised fodder and use of concentrate feed logit estimations are conducted that significantly differentiate effects of individual household characteristics from those related to location the predicted values of the locational variables are then used to make spatial predictions of technology potential comparisons are made with estimations based only on survey data which demonstrate that while overall explanatory power may not improve with gis derived variables the latter yield more practical interpretations which is further demonstrated through predictions of technology uptake change with a shift in infrastructure policy although requiring large geo referenced data sets and high resolution gis layers the methodology demonstrates the potential to better unravel the multiple effects of location on farmer decisions on technology and land use

paying for environmental services an analysis of participation in costa rica s psa program summary costa rica has long been a leader among developing countries in the design of and experimentation with innovative environmental programs since 1997 costa rica s pagos de servicios ambientales payments for environmental services program has provided payments to more than 4 400 farmers and forest owners for reforestation forest conservation and sustainable forest management activities econometric analysis of a survey of farmers and forest owners including both psa participants and nonparticipants shows that farm size human capital and household economic factors and information variables significantly influence participation in psa program alternatives large farmers and forest owners are disproportionately represented among program participants

globalization and smallholders the adoption diffusion and welfare impact of non traditional export crops in guatemala summary this paper uses a duration analysis based on adoption data spanning 25 years from six communities in the central highlands of guatemala to explore how household characteristics and external trends play into both the adoption and diffusion processes of non traditional exports ntx among smallholders based on the analysis ntx production appeared to have delivered less prosperity to adopters than initially promised smallholders may lack capacity to overcome difficulties that inevitably arise in complex types of cultivations and in highly variable global agricultural markets governmental and non governmental organizations can attempt to mitigate these difficulties but market forces may overwhelm these efforts

the dynamics of agricultural biotechnology adoption lessons from series rbst use in wisconsin 1994 2001 this article exploits panel data from wisconsin dairy farmers to examine the dynamics of recombinant bovine somatotropin rbst adoption and to identify the characteristics that distinguish among nonadopters disadopters and early and late adopters panel methods are used to control for omitted variables and endogenous regressors that call into question coefficient estimates derived from cross section adoption models the results however confirm previous findings that larger farms with complementary feeding technologies are more likely to adopt rbst nonadopters appear quite unlikely to become adopters and rbst adoption will remain at rather moderate levels in wisconsin

explaining differences in state growth catching up versus olson in this paper we have tested various explanations for differences in rates of economic growth across states we found no evidence consistent with olson s hypothesis that differences in state age a proxy for the strength of special interest groups can explain differences in state growth furthermore our results indicate that a regression containing only initial income explains most of the variation in the growth of state income in sum a good part of the more rapid growth of southern and other fast growing states is simply a convergence to the national average this convergence is an expected result of basic economic theory given free trade in goods and factors our results are however not necessarily a rejection of the olson hypothesis it may well be that the hypothesis should only be applied to comparisons between nation states not to comparisons between political divisions of the same nation state the institutional and political similarities of the american states may swamp the differences and make the olson hypothesis inapplicable the tendencies cited by olson may indeed be present in the american economy but their differential effect is much too small to explain any of the variation in economic performance across states

consistent estimates of the impact of special interest groups on economic growth empirical studies designed to testolson s 1982 theory of institutional sclerosis aretypically forced to rely upon proxies to measure theability of special interest groups to engage inredistributive activities which in turn areexpected to hinder economic growth this note showsthat reliance on proxies biases the estimates towardzero here instrumental variable routines areutilized which increase the estimated impact ofspecial interests on the economy

factors influencing adoption of land enhancing technology in the sahel lessons from a case study in niger abstract technical change through the introduction of land enhancing conservation technologies is essential to economic growth in the sahel tobit analysis was used to identify factors that motivate level and intensity of adoption of specific soil and water management technologies the results show that higher percentage of degraded farmland extension education lower risk aversion and the availability of short term profits are important for increasing the adoption and intensity of use of improved tassa and half crescent shaped earthen mounds age and attitudes to differential gains between farm and non farm income showed no influence on adoption three main policy implications emerge from these findings first technologies should be targeted to locations that have large percentages of degraded farmlands the probability of adoption and intensity of use are likely to be high at such locations second there is the need to provide extension education that demonstrates risk reduction capacities of conservation techniques this will make available information capable of stimulating adoption of land enhancing technologies finally policy makers should not seek to target innovations to younger farmers because age has no relationship to adoption of the improved tassa and half crescent shaped earthen mounds lessons from the case study have broad relevance to cropped areas in the sahel

the diffusion of new agricultural technologies the case of crossbred cow technology in tanzania the recent literature on agricultural technology adoption shows that diffusion of new technologies varies significantly across space and time furthermore puzzles exist about why some seemingly profitable technologies are not adopted especially in livestock production we employ a hazard or duration function to explain diffusion of crossbred cow technology in a unique sample of tanzania farmers a farmer s adoption of crossbred technology depends positively on the proximity of his farm to other users on his schooling and on his access to credit and contact with extension agents

structural and productivity change in us agriculture 1950 1982 this paper tests whether structural change in us agriculture is an important channel to tfp growth and evaluates the relative impact of i public research and education policies ii private r d and market forces and iii government farm programs on structural change we specify a structural econometric model fit it to us state aggregate data 1953 1982 and use the associated reduced form model to perform counter factual policy simulations the findings include structural change is a channel to tfp growth in both crop and livestock subsector i e specialization size and part time farming do impact tfp holding other variables constant public r d and education have been at least as important as private r d and market forces for changing livestock specialization farm size and farmers off farm work participation over the study period but private r d and market forces have been relatively more important for crop specialization changes in farm commodity programs had little impact on farm structure over these study period overall we conclude that if public r d and education policies had been unchanged at their 1950 values over 1950 1982 major structural changes in us agriculture would have occurred anyway the forces of private r d and market forces were at work including a decline in the price of machinery services and agricultural chemicals relative to the farm wage

the importance of learning in the adoption of high yielding variety seeds to date due to the lack of panel data most micro level empirical studies of technology adoption have used cross sectional data these studies cannot examine the dynamic processes of adoption such as learning this article uses panel data to study the adoption of a new high yielding variety seed first it establishes that learning is an important variable in the adoption process second it establishes that cross sectional estimates of a dynamic process are biased but that the extent of this bias may be small third it illustrates the econometric methods needed to estimate a dynamic model when controlling for unobserved household heterogeneity

do landlord tenant relationships influence rental contracts for farmland or the cash rental rate a considerable portion of north america s farmland is rented out by nonfarmer landlords our survey of farmers in southern ontario canada provides a refined understanding of who these landlords are and whether variations in landlord tenant relationships influence rental contract choice and or the magnitude of cash rent we find that crop share arrangements are more likely to emerge among family relations however we do not find strong evidence that family relations explain variation in the magnitude of cash rental rates

technology as an agricultural pollution control policy in this paper we consider the market level impacts of factor augmenting innovations designed to reduce the use of fertilizers and pesticides first within the context of a simple two factor model and then through a simulation model of the u s corn market in both models the impacts depend on the output demand elasticity and input substitution elasticities the principal conclusion of the simulation analysis is that the potential for new techniques to reduce the use of agricultural chemicals is limited capital augmenting innovations would actually raise fertilizer and pesticide usage land augmenting innovations would also tend to increase pesticide usage

government expenditure and economic growth a cross country study this paper examines the relationship between the share of government consumption expenditure in gdp and the rate of growth of real per capita gdp the work of the u n international comparison project has recently made available new estimates for over 100 countries of both per capita gdp and the share of government consumption these new estimates are based on direct price comparisons rather than exchange rate conversions as a result the statistics for different countries are more comparable and cross country studies will be more reliable

information transmission in irrigation technology adoption and diffusion social learning extension services and spatial effects in this article we investigate the role of information transmission in promoting agricultural technology adoption and diffusion through extension services and social learning we develop a theoretical model of technology adoption and diffusion which we then empirically apply using duration analysis on a micro dataset consisting of recall data covering the period 1994 2004 for olive producing farms from crete greece our findings suggest that both extension services and social learning are strong determinants of technology adoption and diffusion while the effectiveness of each of the two informational channels is enhanced by the presence of the other

the impact of water conservation and intensification technologies empirical evidence for rice farmers in ghana this study employs the propensity score matching model to examine the impact of the adoption of water conservation and intensification technologies on farm output and income among small scale lowland rice farmers in the northern region of ghana the matching was conducted based on the mahalanobis distance combined with the propensity score balancing tests by checking the mean standardized absolute bias in the matched sample were conducted as well as a sensitivity analysis was conducted to check for hidden bias due to unobservable selection the empirical results show a positive and significant impact of the adoption of bunds technology on input demand as well as a positive but insignificant impact on output supply and net returns adopters of the dibbling technology were found to have higher output supply whereas no statistically significant difference was found between the incomes of adopters and nonadopters of dibbling seed method the results however reveal a positive and significant effect on output and net returns when the dibbling method is combined with intensified weeding the estimates were found to be relatively insensitive to hidden bias

an examination of the factors affecting the formation of interest groups in oecd countries perhaps the best way to summarize the empirical results is to classify the hypotheses into three groups those which can be readily accepted because they are supported in all tests those which can be readily rejected because no test results support them and those upon which one should remain agnostic because the test results are not consistent in the first group are population pop decentralization of government dcnt and length of time of modernization date one can state quite confidently that these three variables are determinants of interest group activity in the second group are the variables measuring characteristics of the political system poly dem1 dem2 pfrc one can with ease reject the hypotheses to which these variables are relevant there is a large group of variables which stand in the middle group however for these variables there are gradations of success in the tests the variables on socioeconomic development inc agri news and number of industries and political subdivisions nind regp are only significant in the one variable tests especially important is their failure to obtain the correct signs in the tests reported in table 3 the variables on ethnic fractionalization efrc and olson s hypothesis on destruction of groups ndfo have the correct signs in table 3 and are significant in table 1 thus it is more difficult to reject efrc and ndfo as determinants of interest group activity than inc nind and regp finally it should be mentioned that once appropriate simultaneous equations techniques are applied government size is no longer supported as a significant variable this paper will conclude with comments of a more conjectural nature on the implications of the results in the case of three specific variables first the results on hypothesis 3 suggest that population affects the number of interest groups independently of indirect effects through other variables this direct effect occurs because groups become proportionately smaller and more homogeneous as population increases hence one can expect the political economy of larger countries to be significantly different from that of smaller countries the results suggest that larger countries will have a denser array of interest groups and that these groups because of their homogeneity will find it easier to decide on and pursue policies in the narrow interests of their members secondly the results support olson s claim that there will be a gradual accumulation of interest groups in developed democracies given that olson attributes to interest groups a large role in determining the economic fortunes of a country the fact that his accumulation hypothesis is supported is a result of some significance finally if one accepts the two stage least squares results it has been shown that changes in government size do not induce changes in interest group activity an important conclusion can be reached when this result is taken in combination with the results of other studies which show that interest groups induce changes in the size of government mccormick and tollison 1981 and mueller and murrell 1983 these results do not support the capture theory of government that governmental institutions are created perhaps in the public interest and then dominated by interest groups rather the results support the theory that the institutions themselves are the creatures of interest group activity

financial market effects on aggregate money demand a bayesian analysis empirical researchers in aggregate money demand have long been concerned with the degree of substitutability between money and other capital assets and the impact on money holdings of financial markets developments despite the potential importance of financial market linkages to money demand empirical studies display substantial diversity in modeling these influences various econometric studies have found that money holdings may depend on short term debt returns bond yields and even the term structure of interest rates there is also evidence that stock market returns and measures of stock trading affect money holdings existing studies are limited in their evaluation of asset substitution patterns and other financial market effects because they look at a small subset of possible specifications

the decision to double crop an application of expected utility theory using stein s theorem a nonlinear single equation acreage allocation model derived from expected utility theory using stein s theorem for covariance decomposition is developed this decomposition allows the covariance of utility parameters and revenues to be expressed in terms of measurable variables the model is applied to state level data to estimate the relative importance of various economic factors in determining the pattern of double cropping wheat and soybeans in the southeastern united states the hypothesis that the riskiness of returns is important in the aggregate is rejected for some of the states although the constrained expected utility model without the effect of risk performs better than a standard wheat acreage response model