Search results

Efforts to reduce farmers' market risks and improve buyers' access to farm commodities have encouraged contract farming (CF) in Ghana's cashew sector in recent years. Consequently, the existence of CF shows that farmers who use it may be benefiting from it, as it is their economic responsibility to decide how to sell agricultural products. However, the magnitudes of these benefits or otherwise have been inadequately explored. This paper aims to empirically estimate the impact of CF on farm performance and welfare of smallholder cashew farmers.

The study used probit-two-stage least square (probit-2sls) as a primary estimator to account for self-selection bias and endogeneity that could arise from both observed and unobserved heterogeneities among farming households to estimate the causal effects of CF on farm performance and household welfare.

The results indicated that participation in CF contribute significantly to the gains in farm performance (price margins, yields and net farm revenue) and welfare (consumption expenditure per capita), and that the non-participants of CF would have benefited substantially if they had participated. An analysis of the farm size disaggregated into small, medium and large with regards to the outcome variables produces mixed results.

It can be concluded that participating in CF enhances farm performance and household welfare.

While many other studies do not account for changes in farm performance and welfare due to differences in farm size or other observed factors, this study fills a crucial void.

The purpose of this study is to investigate the interactive relationship between non-farm employment and mechanization service expenditure.

The study employs an innovative two-stage probit least squares (2SPLS) model to analyze the survey data collected from 1,148 rural households in China. This model not only simultaneously estimates the impact of non-farm employment on mechanization service expenditure and the impact of mechanization service expenditure on non-farm employment, but also addresses endogeneity issues associated with these two activities.

The empirical results show that non-farm employment and mechanization service expenditure are jointly determined. In particular, the study finds that non-farm employment significantly increases mechanization service expenditure, and vice versa. The results are confirmed by an estimation that captures a dichotomous decision of mechanization service usage. The interactive effects of non-farm employment on mechanization service expenditure are heterogeneous between male and female household heads and among households with different member sizes. Further analyses reveal that (1) mechanization service expenditure increases with increasing non-farm working time; (2) local non-farm employment, rather than provincial non-farm employment, has a larger impact on mechanization service expenditure; and (3) the number of household members employed in non-farm works does not affect mechanization service expenditure significantly.

Although mechanization service markets are rapidly growing in many developing and transition countries, little is known about how service purchasing interacts with farmers' decisions to work in the non-farm sector. This study makes the first attempt by investigating the interactive effects of non-farm employment on mechanization service expenditure in rural China. The findings provide significant evidence for policymakers in China and other countries in their efforts to generate non-farm work opportunities and promote agricultural mechanization, with the aim of boosting rural development and improving farm economic performance.

This study aims to evaluate the influence of institutions on the probability of becoming a social entrepreneur and the effect of this choice on individual economic well-being. The authors also analyze the effects of gender (male versus female entrepreneurism) and type (traditional versus social entrepreneurism).

Institutional economics framed the analysis, and hypotheses were tested using two-stage probit least squares models in a sample of 69,236 individuals from 57 countries during the 2010–2014 wave from the World Values Survey.

The results showed that, for most variables, institutions significantly explained the probability of becoming a social entrepreneur. The analyses also indicated that social entrepreneurship is highly associated with individual economic well-being.

This research brings insights into the discussion of the social and economic benefits of socially oriented entrepreneurs. Likewise, the modeling approach overcomes the interplay between entrepreneurship and economic outcomes, in which institutions become key factors.

Este estudio evalúa la influencia de las instituciones en la probabilidad de convertirse en un emprendedor social y el efecto de esta elección en el bienestar económico individual. También se analizan los efectos del género (emprendimiento masculino versus femenino) y del tipo (emprendimiento tradicional versus social).

La economía institucional es el marco para el análisis e hipótesis, las cuales se evaluaron utilizando modelos probit de mínimos cuadrados de dos etapas (2SPLS) en una muestra de 69.236 personas de 57 países durante la ola 2010–2014 de la Encuesta Mundial de Valores.

Los resultados mostraron que, para la mayoría de las variables, las instituciones explicaron significativamente la probabilidad de convertirse en un emprendedor social. El análisis también indicaró que el emprendimiento social está altamente asociado con el bienestar económico individual.

Esta investigación aporta información sobre el debate alrededor de los beneficios sociales y económicos de los emprendedores con orientación social. Asimismo, el enfoque de modelización resuelve la interdependencia entre el emprendimiento y variables económicas, en la que las instituciones son factores claves.

Este estudo avalia a influência das instituições na probabilidade de se tornar um empreendedor social e o efeito desta escolha no bem-estar económico individual. Os efeitos do género (empreendedorismo masculino versus feminino) e do tipo (empreendedorismo tradicional versus social) também são analisados.

A economia institucional é a estrutura para a análise e hipóteses, que foram avaliadas usando modelos probit de mínimos quadrados em dois estágios (2SPLS) em uma amostra de 69.236 pessoas de 57 países durante a onda 2010–2014 dos Valores Mundiais Pesquisa.

Os resultados mostraram que, para a maioria das variáveis, as instituições explicaram significativamente a probabilidade de se tornar um empreendedor social. A análise também indicou que o empreendedorismo social está altamente associado ao bem-estar económico individual.

Esta investigação fornece informações sobre o debate em torno dos benefícios sociais e económicos dos empreendedores de orientação social. Da mesma forma, a abordagem de modelização resolve a interdependência entre o empreendedorismo e as variáveis económicas, nas quais as instituições são fatores-chave.

Tax increment financing (TIF) has been adopted widely by municipalities to promote local economic development. This study aims to examine the effect of TIF adoption on property values at the parcel level in Indiana from 2009 to 2016.

Concerns of TIF adoption endogeneity are addressed by a two-stage estimation process using urban population ratio and unemployment rates as instruments.

In addition to finding influential socioeconomic and demographic factors, the results suggest that parcels located within TIF districts were sold more than parcels outside of TIF districts by approximately $5,000. Such premium is mainly picked up by the positive effect on commercial and agricultural parcels, which outweighs the negative TIF impact on residential types.

Arm’s length transaction data on property value are used to eliminate the subjective assessment bias, potential calculation errors during the evaluation process and econometric issues caused by using the assessed value.

This study aims to examine the influence of ownership structure and board composition on the probability and intensity of stock repurchases. The study’s sample comprises 3,744 firm-year observations, consisting of 53 repurchasing firms with 96 firm-year observations from 2008 to 2019.

Probit and fixed-effects regression models are used to obtain empirical results. Moreover, a probit model with a continuous endogenous regressor (IV-probit) and an instrumental variable method with two-stage least squares (IV-2SLS) estimation are used to address endogeneity.

Corporations with high family or state ownership tend to inhibit stock repurchases to hoard excess free cash flow, supporting agency theory. Conversely, firms with high board independence tend to repurchase their stocks at least once to distribute free cash flows to shareholders, confirming agency theory. Nonetheless, corporations with more female directors on the board or CEO duality tend to conduct stock repurchases at least once but do not repurchase stocks with high values. Interestingly, more female directors on the board may send false signals about undervalued stocks.

This is the first study to reveal that firms with CEO duality repurchase their stocks at least once but avoid repurchasing shares with high values. It is also the first study to explore whether women on a board may cause false signaling about undervalued stocks. Furthermore, this study reveals that family and state ownership are potential determinants of stock repurchases in countries with high ownership concentration. This is the first study to address this issue in Thailand.

We examine the sample self-selection and the use of LIFO or FIFO inventory method. For this purpose, we apply the Heckman-Lee’s two-stage regression to the 1973–1981 data, a period of relatively high inflation, during which the incentive to adopt the LIFO inventory valuation method was most pronounced. The predicted coefficients based on the reduced-form probit (inventory choice model) and the tax functions are used to derive predicted tax savings in the structured probit. Specifically, the predicted tax savings are computed by comparing the actual LIFO (FIFO) taxes vs. predicted FIFO (LIFO) taxes. Thereafter, we estimate the dollar amount of tax savings under different regimes. The two-stage approach enables us to address not only the managerial choice of the inventory method but also the tax effect of this decision. Previous studies do not jointly consider the inventory choice decision and the tax effect of that decision. Hence, the approach we use is a contribution to the literature. Our results show that self-selection bias is present in our sample of LIFO and FIFO firms and correcting for the self-selection bias shows that the LIFO firms, on average, had $282 million of tax savings, which explains why a large number of firms adopted the LIFO inventory method during the seventies.

There has been little empirical research focused on the effect of lean on hospital performance in the form of a consolidated methodology. This paper aims to apply a more sophisticated approach to examine whether hospitals’ decision for lean implementation is endogenous and test the effects of lean on hospital performance.

This study uses a publicly available data set of hospitals across the USA from 2002 to 2019 and performs two-stage least squares (2SLS) analysis. In the first stage, a probit model is used to estimate hospitals’ decision to implement lean. The fitted probability values from the first stage are used in the second stage to test the relationship between lean and hospital performance. Ordinary least squares (OLS) regression results are compared with those of the 2SLS approach.

The decision to implement lean is significantly associated with hospital-specific characteristics (the complexity of care, size and cost-to-charge ratio), indicating hospitals’ decision for lean implementation is endogenous. Moreover, there is strong evidence that lean implementation is positively associated with hospital financial and operational performance. The Hausman F-tests confirm the presence of endogeneity and this, in turn, suggests that OLS regressions result in unreliable estimates.

The findings of this study can help hospital managers benchmark performance and explore opportunities for profit and efficiency improvement. The findings are also relevant to policymakers who strive to lower health-care spending.

This study is motivated by the challenges facing the health-care industry. This study is among the first to investigate endogeneity in lean implementation and the association between lean and hospital performance using large-scale archival panel data. The use of the 2SLS approach provides more confidence in statistical findings.

This paper aims to investigate the effects of using poor-quality instruments to remedy endogeneity in logit-based demand models. Endogeneity problems in demand models occur when certain factors, unobserved by the researcher, affect both demand and the values of a marketing mix variable set by managers. For example, unobserved factors such as style, prestige or reputation might result in higher prices for a product and higher demand for that product. If not addressed properly, endogeneity can bias the elasticities of the endogenous variable and subsequent optimization of the marketing mix. In practice, instrumental variables (IV) estimation techniques are often used to remedy an endogeneity problem. It is well-known that, for linear regression models, the use of IV techniques with poor-quality instruments can produce very poor parameter estimates, in some circumstances even worse than those that result from ignoring the endogeneity problem altogether. The literature has not addressed the consequences of using poor-quality instruments to remedy endogeneity problems in non-linear models, such as logit-based demand models.

Using simulation methods, the authors investigate the effects of using poor-quality instruments to remedy endogeneity in logit-based demand models applied to finite-sample data sets. The results show that, even when the conditions for lack of parameter identification due to poor-quality instruments do not hold exactly, estimates of price elasticities can still be quite poor. That being the case, the authors investigate the relative performance of several non-linear IV estimation procedures utilizing readily available instruments in finite samples.

The study highlights the attractiveness of the control function approach (Petrin and Train, 2010) and readily available instruments, which together reduce the mean squared elasticity errors substantially for experimental conditions in which the theory-backed instruments are poor in quality. The authors find important effects for sample size, in particular for the number of brands, for which it is shown that endogeneity problems are exacerbated with increases in the number of brands, especially when poor-quality instruments are used. In addition, the number of stores is found to be important for likelihood ratio testing. The results of the simulation are shown to generalize to situations under Nash pricing in oligopolistic markets, to conditions in which cross-sectional preference heterogeneity exists and to nested logit and probit-based demand specifications as well. Based on the results of the simulation, the authors suggest a procedure for managing a potential endogeneity problem in logit-based demand models.

The literature on demand modeling has focused on deriving analytical results on the consequences of using poor-quality instruments to remedy endogeneity problems in linear models. Despite the widespread use of non-linear demand models such as logit, this study is the first to address the consequences of using poor-quality instruments in these models and to make practical recommendations on how to avoid poor outcomes.

The purpose of this paper is to investigate the impact of the frequency of information acquisition on the frequency of stock trading. The authors also examined if the Big Five personality traits of investor influence the association between information acquisition and stock trading behavior.

The authors adopted NEO Five-Factor Inventory (Costa and McCrae, 1989) inventory to measure the Big Five personality traits of investors and examined the data collected from 541 individual investors of the Chinese stock market. To overcome the potential endogeneity bias, the authors followed two-stage least square method for estimating endogenous covariate by employing instrumental variable analysis. The authors performed probit regression to evaluate the moderating influence of investor personality traits on the association between information acquisition and stock trading behavior. The authors also performed several other tests to check the robustness of the key findings.

This research confirmed the previous findings that the more frequently investors acquire information, the more often they trade in stocks. Moreover, the authors added to the existing literature by providing empirical evidence that the Big Five personality traits moderate the relationship of information acquisition with stock trading behavior. Information acquisition tends to increase stock trading frequency in investors with conscientiousness, extraversion and agreeableness traits. On the other hand, it also has the tendency to decrease the intensity of stock trading in investors with openness and neuroticism traits.

The theoretical model in this study seeks to explain that the psychological factor, namely, investor personality, influences the way an investor interprets signals from information which in turn influences the investor decision to trade in securities. This research suggests that psychological characteristics of investors can be of relevance for policy makers in their attempts to improve their business in the financial services industry.

This study combines both information search literature and behavioral finance literature to investigate whether or not the information acquisition that relates to investors’ asset allocation decisions is influenced by investor personality. The study offers new theoretical insights into investors’ behavior due to the characteristics of the Chinese stock market which are uniquely different from other stock markets in the world. No previous study has been conducted so far in the Chinese stock market to explore variations in the impact of investors’ information acquisition on their stock trading by the Big Five personality and this paper strives to fill this research gap.

The Indian economy has experienced a boom in outward FDI (OFDI) in 2006. The study aims at exploring the factors that drive the boom in OFDI of Indian firms.

The participation of a firm in OFDI is a two-stage process -first, the decision to internationalization and second, how much to invest. We employ a two-stage model to decompose the effects on the decision to internationalization from effects on how much to invest. The two-stage model has the advantage of allowing us to estimate separately the probability of internationalization by a firm – Pr(OFDI > 0) – and the expected volume of investment, E(OFDI|OFDI > 0). The former is estimated by the probit model and the latter is estimated by the ordinary least square model.

The study finds that prior experience and institutional advantage can strongly drive the internationalization of Indian multinationals. The study also examines the relative importance of two aspects of prior knowledge – length of prior knowledge and depth of prior knowledge on OFDI of Indian firms. The study finds that the depth of prior knowledge is a must influential driver of OFDI in comparison to its length.

The present study is a novel attempt to investigate, ‘What drives the boom in OFDI from India?’