Strategic Role of Trade Credit in Chain Coordination for the Traditional Farm Business Enterprises in Punjab,India

Abstract

Rice being a staple cereal, government purchases paddy (unhusked rice) from the primary wholesale markets in the surplus agrarian Punjab State and milled rice is distributed through the public distribution system in rice deficit States. Commission agents (CAs) in the primary wholesale markets that operate on a fixed commission basis constitute a strategic link between farmers and the procurement agencies/millers. To ensure adequate supplies of paddy for their own businesses CAs advance trade credit to the client farmers who need a regular flow of credit (during both the seasons annually that is not always possible to raise from the formal sources) for the purchase of operational inputs, on farm investments and various consumption purposes. So mutual interdependences, hereditary characters of the business enterprises and close proximities have enabled the chain partners to build up close personal relationships in the repeat business transactions. Farmers sell paddy through the preferred CAs during the post-harvest period, and personal relationships play a pivotal role in chain coordination while captive relationships ensure timely payments. For advancing trade credit, CAs' preferred choices are the medium and large sized farmers due to lower risks while the small sized farmers are less preferred because of their weak asset positions and payment uncertainties that increase the operational costs of trade credit. CAs make amicable adjustments to the utmost so that farmers do not shift away from their preferred CAs. CAs do not share any market risk, however, when paddy payments from the government to farmers get delayed they at their personal levels meet the requirements for cash contingencies of the client farmers. Knowledge gained from this study provides managerial and policy insights on the supply chain management mechanisms for the supplies of an essential input and its timely recoveries.     

Dynamic price discovery

This article analyzes the dynamic process of price discovery in a competitive securities market where investors are equally informed about the fundamental determinants of an asset's end-of-period value but, because they do not know each other's wealth positions, do not know the equilibrium price of shares at the start of a current trading session. Because a large number of participants is assumed, issues concerning market impact and market manipulation are avoided. As trading progresses, participants update their expectations of an asset's equilibrium value. As they do so, price can either converge to a new level or, following a run, revert back to a previous level. This implies that, in clusters of adjacent prices, price changes are more apt to be predominantly of like sign (positive or negative) than would be the case under random walk with a bid-ask spread. Moreover, reversals, when they do occur, should be larger than continuations. An examination of 1988 transactions data for the 30 Dow Jones Industrial stocks shows that this is indeed the case. With the effect of the bid-ask spread removed, first-order autocorrelation coefficients are found to be positive.     

The Social Opportunity Cost of Consumption for Australia, 1960–61 to 1988–89

The social opportunity cost of consumption (SOCC) for an economy is the rate at which current consumption can be traded for consumption in the future. The SOCC is an important determinant of the socially optimal levels of investment and the current account surplus and should be an input into the framing of government economic policy. Using overseas interest rates, the SOCC for Australia is calculated in this article. The calculated series is fairly constant for the 1960s and then has a pronounced cyclical pattern from the late 1960s to 1988–89. The average value of the SOCC for Australia is about four per cent.     

An Empirical Model of Advertising Dynamics

This paper develops a model of dynamic advertising competition, and applies it to the problem of optimal advertising scheduling through time. In many industries we observe advertising “pulsing”, whereby firms systematically switch advertising on and off at a high-frequency. Hence, we observe periods of zero and non-zero advertising, as opposed to a steady level of positive advertising. Previous research has rationalized pulsing through two features of the sale response function: an S-shaped response to advertising, and long-run effects of current advertising on demand. Despite considerable evidence for advertising carry-over, existing evidence for non-convexities in the shape of the sales-response to advertising has been limited and, often, mixed. We show how both features can be included in a discrete choice based demand system and estimated using a simple partial maximum likelihood estimator. The demand estimates are then taken to the supply side, where we simulate the outcome of a dynamic game using the Markov perfect equilibrium (MPE) concept. Our objective is not to test for the specific game generating observed advertising levels. Rather, we wish to verify whether the use of pulsing (on and off) can be justified as an equilibrium advertising practice. We solve for the equilibrium using numerical dynamic programming methods. The flexibility provided by the numerical solution method allows us to improve on the existing literature, which typically considers only two competitors, and places strong restrictions on the demand models for which the supply side policies can be obtained. We estimate the demand model using data from the Frozen Entree product category. We find evidence for a threshold effect, which is qualitatively similar to the aforementioned S-shaped advertising response. We also show that the threshold is robust to functional form assumptions for the marginal impact of advertising on demand. Our estimates, which are obtained without imposing any supply side restrictions, imply that firms should indeed pulse in equilibrium. Predicted advertising in the MPE is higher, on average, than observed advertising. On average, the optimal advertising policies yield a moderate profit improvement over the profits under observed advertising.JEL Classification: L11, L66, M30 M37 R12     

Predicting the antecedents of consumers' intention toward purchase of mutual funds: A hybrid PLS-SEM-neural network approach

The current study intends to identify the behavioural antecedents of investors' attitude and investment intention toward mutual funds using a robust SEM-ANN approach. It focuses on novel factors in the purview of the COVID-19 pandemic, increasing digitalization and social media usage. The research outcome indicates that attitude (ATB), awareness (AW) and investment decision involvement (IDI) have a significant positive relation with investment intention (BI). In contrast, perceived barrier (PBR) negatively relates to investment intention. Herd behaviour (HB) and social media influence (SMI) do not influence investment intention toward mutual funds. Moreover, all the tested predictors share direct relation with the attitude toward mutual fund investment, barring perceived risk (PR), which has an inverse relationship. As per the outcome of ANN sensitivity analysis, attitude is the most crucial determinant of investment intention. It is followed by awareness (AW), perceived barriers (PBR) and investment decision involvement (IDI). Among the significant determinants of attitude, self-efficacy (SE) is the most important determinant, followed by perceived usefulness (PU), perceived emergency (PEMER), subjective norms (SN) and perceived risk (PR).     

Internet use and consumption diversity: Evidence from rural China

The Internet is integral to modern living. While the Internet is ubiquitous in China's urban areas, its uptake is still lagging in the country's rural regions—the development potential of the Internet remains untapped, and despite China's steep economic growth during the 21st century, the living standards in its rural regions remain low. The Internet can accelerate rural development in China. This study is focused on analyzing whether and to what extent Internet use affects consumption diversity, an indicator of the quality of life, in rural China. To this end, we employ the instrumental-variable-based two-stage endogenous treatment regression model to analyze the 2018 China Family Panel Studies survey data. The modeling approach allows us to account for the endogeneity of Internet use. The results show that consumption diversity is positively associated with Internet use. Furthermore, it rises with household income, household size, and wealth. Whether the Internet is accessed via smartphones or computers has no bearing on household consumption diversity. We also find that education, household income, and wealth increase one's predicted probability of using the Internet. The results also point to regional differences in consumption diversity and the likelihood of using the Internet.     

Corruption,remittances, and public goods: A unified framework

Remittances are an important source of income for the very countries afflicted by high levels of corruption. However, corruption undermines the development potential of remittances. With this in mind, we propose policy reforms that harness the potential of remittances while mitigating corruption. Unlike previous studies, we point to two channels: (1) the corrupt government's trade-off between its financial interests (corruption), the provision of a public good, and the gains from a higher inflow of remittances; and (2) the household's consumption of the public good relative to that of the privately obtained substitute of the public good.     

Does agricultural cooperative membership influence off-farm work decisions of farm couples?

Membership in agricultural cooperatives may influence intra-household decisions regarding the division of household labor. However, the linkages between cooperative membership and labor allocation remain unexplored. To fill this gap, we examine the impact of cooperative membership on off-farm work decisions of couples engaged in farming, using data collected from 595 banana farmers in China. The recursive bivariate probit model and endogenous-treatment Poisson regression model are employed to address the self-selection bias inherent in cooperative membership. The results show that cooperative membership increases the probability of participating in off-farm work by 38% for husbands and 31% for wives. Having large households reduces the probability of husbands but increases that of wives working off-farm. Cooperative membership is also associated with more time spent on off-farm work and higher earnings for both husbands and wives. Our findings point to the potential of agricultural cooperatives to increase farm couples’ off-farm employment, thus increasing household income and quality of life.     

Analysis of key factors influencing individual financial well-being using ISM and MICMAC approach

Quality & Quantity - A growing complexity in the financial world has attracted the interest of academicians and policymakers to examine the financial planning and well-being of individuals....