Faced with risky yields and returns, risk-averse farmers require a premium to take risks. In this paper, we estimate individual farmers' degrees of risk aversion to adjust for the risk premium in returns and to re...
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Faced with risky yields and returns, risk-averse farmers require a premium to take risks. In this paper, we estimate individual farmers' degrees of risk aversion to adjust for the risk premium in returns and to replace the farmers' realized returns with their certainty equivalent returns in the production function. In that way, the effect of the inputs on returns will automatically be risk-adjusted, i.e., we obtain risk-adjusted marginal effects of inputs, which can be used in decision-making support of farmers' input choices in production. Using farm-level data from organic basmati rice smallholders in India, we illustrate this method using nonparametric production functions. The results show that the input elasticities and returns-to-scale estimates change when the farmers' degree of risk aversion is taken into consideration.
Ecosystem services, such as weed and pest regulation provided by biodiversity, are vital for sustainable crop production. However, the economic contributions of biodiversity are often overlooked in commercial markets ...
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Ecosystem services, such as weed and pest regulation provided by biodiversity, are vital for sustainable crop production. However, the economic contributions of biodiversity are often overlooked in commercial markets due to the absence of market prices. This complicates quantification and comparison with physical capital, leading to poor economic decisions. To improve the economic understanding of crop production, we combine economic and ecological analyses and develop a structural production economic model that accounts for ecosystem services' contributions to crop yields. Our structural crop production function integrates both anthropogenic inputs and ecosystem services, quantifying production possibilities along a spectrum from inputintensive to ecosystem service-based management practices. The model explicitly depicts resource allocation decisions across labour, physical capital, and intermediate inputs. To mitigate and reverse biodiversity stressors in intensive agriculture, alternative management practices that maintain productivity while reducing reliance on polluting inputs are essential. We review and recommend economic and ecological indicators, ranging from ideal measurements to available proxies, for model estimation, addressing the trade-offs between accuracy, feasibility, and data collection costs. Our analysis emphasises the need for comprehensive information to operationalise the understanding of productivity and substitutability between ecosystem services and biodiversity-adverse inputs such as agrochemicals and energy.
The lunar crater production function describes the general pattern of the size-frequency distribution of craters on the lunar surface, and it is the foundation of the surface dating method via crater counting. In addi...
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The lunar crater production function describes the general pattern of the size-frequency distribution of craters on the lunar surface, and it is the foundation of the surface dating method via crater counting. In addition, the lunar crater production function has been extended to other celestial bodies and used to analyze the meteorite flux of the inner solar system. The basic process of establishing the lunar crater production function is to map in an ideal way the primary craters in different geological units, and then to normalize all of the corresponding size-frequency distributions using a mathematical model. Currently, the most widely used lunar crater production functions have been established based on the images acquired in the last century. However, now they can be refined with newly obtained high-resolution images. In this research, we mapped all of the primary craters in 13 regions on the lunar surface with the images acquired using the narrow angle camera and wide angle camera onboard the Lunar Reconnaissance Orbiter, and then we fitted the lunar crater production function with a polynomial. The resultant new lunar crater production function is largely comparable with the previous results, and the difference is mainly at the large diameter end. We analyzed the uncertainty of model fitting as well as the difference in the crater measurements and demonstrated the reliability of the new production function. It is expected to refine the lunar surface dating models, which can provide more accurate information on the impact rate in related studies.
We derive and estimate a production function for microfinance institutions to provide empirical evidence of the ethical dilemma of balancing social and financial logics in hybrid organizations. A worldwide panel datas...
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We derive and estimate a production function for microfinance institutions to provide empirical evidence of the ethical dilemma of balancing social and financial logics in hybrid organizations. A worldwide panel dataset of microfinance institutions is utilized and a production function augmented by average loan size is estimated using the control function approach. We show how this framework can be used to quantify the tradeoff between social outreach and financial sustainability in relation to the expansion of microfinance institutions' credit operations. The study reveals that expanding the extensive margin (increasing the number of loan clients) requires on average more than twice as many inputs as expanding the intensive margin (increasing the average loan size) to achieve the same growth in assets. Beyond the case of microfinance our production function illustrates that as hybrid organizations expand, they will inevitably face an ethical dilemma as the laws of economic efficiency exert pressure on their social missions.
The original specification of the Constant-Elasticity-of-Substitution (CES) production function introduced by Arrow, Chenery, Minhas, and Solow is considered to be a general production specification that nests multipl...
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The original specification of the Constant-Elasticity-of-Substitution (CES) production function introduced by Arrow, Chenery, Minhas, and Solow is considered to be a general production specification that nests multiple types of production functions, i.e. Leontief, Cobb-Douglas, and linear. However, even this general specification of production functions is restrictive in several ways. This paper proposes a generalized variant of the CES production function that allows for the inclusion of the minimum required levels of inputs. Not allowing for this potential attribute is, in fact, one shortcoming of the original CES production-function specification, which in turn could result in misleading conclusions about essential levels of inputs. Accordingly, a solution is proposed to overcome the mentioned shortcoming. Input thresholds are incorporated in the CES production specification, and empirical applications are provided for irrigation and nitrogen. To illustrate the proposed approach in this paper, two empirical applications in irrigation and fertilizer response using the famous Hexem-Heady experimental dataset as well as several datasets produced using Monte-Carlo experiments with different data-generating processes are provided. Finally, implications for modelling input thresholds are considered and discussed.
This paper uses both used ARIMA and VECM models to analyze the production function to determine the interactions between GDP, capital and labor inputs in this analysis. The paper explores short-term dynamics as well a...
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The water purification functions of forests represent one of the most frequently invoked examples of nonmarket ecosystem services that are economically valuable. This study quantifies the monetary value of forests'...
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The water purification functions of forests represent one of the most frequently invoked examples of nonmarket ecosystem services that are economically valuable. This study quantifies the monetary value of forests' water purification services in the form of the ensuing cost savings of municipal drinking water treatment, using a rich panel dataset from China's Sichuan province. Moreover, this study has undertaken a novel spatial piecewise approach to investigate the spatial patterns of such cost savings delivered by forests at different distances from the water intake point. The estimation results find that forests within a 2 km radius upstream from the water intake point have the most sizeable and statistically significant cost saving effect. For forests within a 3 km radius, this effect becomes somewhat smaller but remains statistically significant. Beyond a 4 km radius, this effect becomes notably smaller and statistically equal to zero. Our analysis facilitates the optimal spatial targeting of forest conservation.
There has recently been a global increase in economic losses due to cyberattacks. However, research on the economic damage caused by cyberattacks has mainly focused on attacked companies, and spillover damage to other...
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Using experimental data, we show that the characteristics of the joint production process have a notable impact on the distribution of bargaining agreements. The setting in which the jointly produced surplus is expres...
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Using experimental data, we show that the characteristics of the joint production process have a notable impact on the distribution of bargaining agreements. The setting in which the jointly produced surplus is expressed to be proportional to individual inputs leads to significantly more proportional bargaining agreements. This is in contrast to the setting in which the surplus is expressed as an additive constant, where bargaining agreements are more in line with the Nash bargaining solution. (c) 2022 Elsevier Inc. All rights reserved.
The scope of this paper is to estimate the production function for the Brazilian industrial sector from a longitudinal panel of the industrial sector (Annual Industrial Survey produced by the Institute of Geography an...
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The scope of this paper is to estimate the production function for the Brazilian industrial sector from a longitudinal panel of the industrial sector (Annual Industrial Survey produced by the Institute of Geography and Statistics-PIA/IBGE-and the Ministry of Labour and Employment's Annual Relation of Social Information-RAIS/MTE-ranging from 1996 until 2005) through a Bayesian Vector Autoregressive (BVAR) approach. This new method adds to the empirical industrial organization another way to estimate the demand, avoiding cumbersome calculations. It gives the possibility of analysing not only the dynamic relationships among the variables but also the shocks through the impulse response function (IRF). Additionally, it gives the opportunity to analyse the industry sector's productivity by minimizing the problem of endogeneity and therefore it also sheds some light on the trend of this variable throughout the period abovementioned.
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