Assessing self-selection and endogeneity issues in the relation between activity-based costing and performance

Studies investigating the relation between ABC adoption and performance are inconclusive and plagued with econometric problems. This study extends prior research to investigate the association between ABC adoption and four manufacturing plant performance measures (cycle-time improvement, quality improvement, cost improvement, and profitability) and to assess selection bias and the endogenous nature of their relationship. I use the Heckman (1979) model to assess sample selection bias and the Wooldridge (2002) 2SLS-IV approach, to investigate endogeneity. After controlling for sample selection bias and endogeneity, the coefficient of ABC under the Heckman method and ABC_fit under the 2SLS-IV method becomes significantly higher compared to the coefficient of ABC under the OLS method. In addition, both the inverse Mills ratio, under the Heckman model, and Hausman F-test, under the Wooldridge 2SLS approach, are positive and significant, confirming the presence of both sample selection bias and endogeneity. Overall, I find that controlling for sample selection bias and endogeneity is essential in properly assessing the significance of ABC-performance association.     

The evolution of corporate no net loss and net positive impact biodiversity commitments: Understanding appetite and addressing challenges

The World Economic Forum has identified biodiversity loss as an increasingly significant and impactful risk facing business. However, businesses themselves can negatively impact on biodiversity. Recognizing this, a number of companies have developed their own biodiversity commitments, including those to achieve a no net loss (NNL) or net positive impact (NPI) on biodiversity by balancing or outweighing any negative impacts through mitigation activities. We reviewed corporate‐level NNL and NPI commitments over the last two decades to establish the extent of their adoption, retraction, and scientific foundation. Between 2001 and 2016, 66 companies had made NNL/NPI environmental commitments. Thirty three of these 66 companies made specific biodiversity commitments. The numbers of companies making commitments increased in that period. However, some commitments were retracted, or their status became unclear, leaving only 18 companies with active NNL/NPI biodiversity commitments in 2016. Added to this, many of the commitments are lacking science‐based criteria that would allow more transparent and systematic assessment of corporate activities. Thus, although commitments are being made, they may not be delivering as intended. To secure real biodiversity gains, we recommend advancing methods to assess biodiversity risks to businesses, and using science‐based criteria to deepen corporate commitments and actions. Concerted effort from all sectors is needed to halt and reverse biodiversity loss, and the “biodiversity policy super‐year” of 2020 is the perfect moment for business to deliver through well‐framed and implemented commitments to biodiversity NPI.     

Cocoa pricing options and their implications for poverty and industrialization in Ghana

This study establishes the cocoa pricing subsidization options that will stabilize processors’ throughput while meeting the multiple, but possibly conflicting, public policy objectives of maximizing government revenue and reducing poverty among Ghanaian cocoa beans producers. To evaluate these options, we construct and numerically simulate a structural dynamic stochastic model of a representative cocoa processor who maximizes the present value of current and expected future profits, given prevailing market conditions and cocoa pricing policies. Our results indicate that, given current processing capacity, the Ghana Cocoa Board would have to offer a 92% discount to processors on main‐crop beans in order to achieve the industrial goal of locally processing 40% of annual production. This would cause light‐crop beans used in processing to be completely displaced by main‐crop beans carried over as inventory. It would also increase mean processor revenues by 167%, but cause the Ghana Cocoa Board to operate at a significant deficit, implying that the stated goal could only be achieved through massive government subsidies.     

Extent of managerial IT use,learning routines,and firm performance: A structural equation modeling of their relationship

Organizations increasingly rely on information technology (IT) to improve performance. Yet, there is debate about the pay-off of the IT revolution, and empirical evidence suggests that investments in IT do not guarantee enhanced performance. Drawing from accounting, marketing, management and information technology literature, this study uses structural equation modeling to assess the extent to which managerial use of IT is intertwined with control issues including learning routines (internal and external), product quality, cost improvement, customer satisfaction and firm profitability. The conceptual framework builds on knowledge- and resource-based views and return on quality perspectives. The results indicate support for the theoretical framework. Extent of managerial IT use influences internal and external learning routines that influence quality and cost improvement. Quality improvement significantly impacts customer satisfaction and cost improvement that significantly impact firm profitability. The non-hypothesized paths are not significant, indicating that learning routines, quality improvement, cost improvement and customer satisfaction are intervening variables between extent of managerial IT use and firm profitability. Further, the sample is split into two industry subgroups, durable and nondurable goods subgroups, and the two-group analysis reveals that industry moderates the relationship among the variables under study. The effects are in general more pronounced for durable goods firms.     

JIT performance effects: A research note

This paper uses a sample of 131 just-in-time (JIT) firms and their matched non-JIT firms to examine whether adoption of JIT improves firm performance. Tobin's Q and return on assets (ROA) are used to measure firm performance. Overall, the results indicate that statistically significant differences in Tobin's Q and ROA were observed in a pre- and post-test of JIT adopters and between matched non-JIT adopters.     

Cocoa Production Output Response to Smallholder Price Speculation: Case Study of Cote d’Ivoire and Nigeria

The paper attempts to analyze the variation in cocoa output response to international price fluctuations in two major cocoa producing countries: Cote d’Ivoire and Nigeria. The study employs a Nerlovian price expectation technique as in Ogundari (2015), and a Panel VAR model to empirically estimate changes in cocoa output using time series and an unbalanced panel dataset covering a period from 1967 to 2009. The findings indicate and in accordance with economic theory of demand and supply, that cocoa output is an inverse function of the expected prices of competing agricultural commodities like green coffee. When there is an expected price increase of cocoa, cocoa output rises. Simultaneously, if the anticipated price of coffee rises, through a cocoa–coffee substitution mechanism, smallholder farmers shift their focus to coffee production leading to a fall in cocoa output. A Granger causality test was utilized to investigate causality between cocoa output, and cocoa and coffee prices. In the case of Cote d’Ivoire, while there is only a correlation between cocoa output and price, in the case of Nigeria there was none. In addition, the study shows no unidirectional or bidirectional causality between the intervening variables and cocoa output.     

The stochastic volatility in mean model: empirical evidence from international stock markets

In this paper we present an exact maximum likelihood treatment for the estimation of a Stochastic Volatility in Mean (SVM) model based on Monte Carlo simulation methods. The SVM model incorporates the unobserved volatility as an explanatory variable in the mean equation. The same extension is developed elsewhere for Autoregressive Conditional Heteroscedastic (ARCH) models, known as the ARCH in Mean (ARCH‐M) model. The estimation of ARCH models is relatively easy compared with that of the Stochastic Volatility (SV) model. However, efficient Monte Carlo simulation methods for SV models have been developed to overcome some of these problems. The details of modifications required for estimating the volatility‐in‐mean effect are presented in this paper together with a Monte Carlo study to investigate the finite sample properties of the SVM estimators. Taking these developments of estimation methods into account, we regard SV and SVM models as practical alternatives to their ARCH counterparts and therefore it is of interest to study and compare the two classes of volatility models. We present an empirical study of the intertemporal relationship between stock index returns and their volatility for the United Kingdom, the United States and Japan. This phenomenon has been discussed in the financial economic literature but has proved hard to find empirically. We provide evidence of a negative but weak relationship between returns and contemporaneous volatility which is indirect evidence of a positive relation between the expected components of the return and the volatility process. Copyright © 2002 John Wiley & Sons, Ltd.     

Input subsidies and crop diversity on family farms in Burkina Faso

Since their independence, many countries in sub-Saharan Africa have used input subsidies to increase agricultural productivity and improve food security. We analyse the effects of both a fertiliser and a seed subsidy on farming households' land allocation among crops and crop diversity in Burkina Faso. Although previous studies investigated either the impact of a fertiliser or a seed subsidy on targeted crops, few examined the effects of both subsidies combined. Applying a correlated random-effects model with a control function approach to nationally representative, 2-year panel data collected from farming households, we find that those with access to the fertiliser subsidy allocate more land to the crops it targets (rice, maize and cotton) than non-targeted crops. Focusing on a minor crop with key agronomic and nutritional attributes, we conclude that land allocation to cowpea as the primary crop and intercrop declined with the fertiliser subsidy. The fertiliser subsidy also negatively affects crop diversity. However, we find that the cowpea seed subsidy offsets the bias of fertiliser subsidy toward fertiliser-targeted crops and enhances diversity.