Credit Constraints and Increased Firm-level Production Fragmentation: Evidence from India

Previous studies have underlined various rationales for production fragmentation from wage differentials, decreased trade costs, access to specialized skills and resources, access to new markets, and benevolent government policies, to technological advancement. However, the idea that a firm’s financing structure can influence its production structure remains less explored, more so empirically. Firms that are financially constrained find it difficult to complete the entire production process in-house and therefore tend to resort to production fragmentation. The current study investigates this link between the extent of credit constraints faced by firms and their outsourcing behavior using data from Indian manufacturing firms over a period of ten years. We also separately study this linkage for firms that tend to export more vis-à-vis firms that export less, to ascertain if increased exporting have relaxed the financial constraint of the firms. The results confirm the positive effect of credit constraints on outsourcing behavior. For a robustness check, subsample regressions and alternative measures of constraints are also analyzed. The study has important policy implications for developing countries such as India, where outsourcing may prove to be a profitable reorganization strategy for firms that are financially constrained.

Application of Multiobjective Particle Swarm Optimization in Rural Credit System

In China’s rural credit system, the problem of credit constraints is prominent. Due to the imperfect credit market, a large number of rural residents have credit constraints. Rural credit constraint is a serious problem restricting China’s rural economic development. Aimed at solving the rural credit constraints, this paper makes an optimization analysis on the rural credit system and loan decision-making. To more reasonably evaluate customers’ borrowing ability, the credit risk based on farmers’ data on the big data platform is evaluated in this paper. The stacked denoising autoencoder network is improved by adopting the deep learning framework to improve the accuracy of credit evaluation. For improving the loan decision-making ability of rural credit system, a loan optimization strategy based on multiobjective particle swarm optimization algorithm is proposed. The simulation results show that the optimization ability, speed, and stability of the proposed algorithm have achieved good results in dealing with the loan portfolio decision-making problem.

Firm performance under financial constraints: evidence from sub-Saharan African countries

The business environment in which a firm operates has an important impact on firm performance. This study examined the impact of credit constraint and power outages on the firm’s investment decision using World Bank Enterprise Survey (WBES) data collected from firms operating in 13 sub-Saharan Africa (SSA) countries. The study employed a two-part model and the Heckman selection model to estimate the impact of lack of access to finance and poor power supply on a firm’s decision to invest in self-generation. The result obtained suggest that there is a negative correlation between credit constraint and a firm’s decision to invest in self-generation. This indicates that credit constraint negatively affects a firm’s decision to invest in self-generation and firms that are credit constrained have less incentive to invest in self-generation compared to those that are not credit constrained. To test the robustness of the result obtained, alternative definitions of credit constraints were used. Results from alternative regressions using different definitions of credit constraints show that credit constraint affects a firm’s decision to invest in self-generation but not the volume of investment.

The Impact of Banking Competition on Firm Credit Risk and Leverage

A firm’s default risk is closely related to its macrofinancial stability. As financial reform deepens, banking competition may ease firms’ credit constraints, encouraging them to increase their leverage and default risks. This study uses contingent claims analysis to examine firms’ asset–liability ratio and default distance. We find that companies have low leverage and low overall default risks. Moreover, a pro-cyclical effect exists between leverage and economic growth. As banking competition becomes more intense, the default risk decreases, but firms’ leverage ratio rises significantly. The impact is more prominent for highly leveraged firms. Our findings also indicate that utilizing the contingent claims analysis method to measure firms’ leverage and default risks provides more accurate results. Moreover, we provide empirical evidence of the impact of banking competition on firms’ leverage and credit risks. The results suggest that enhancing financial competition has a positive effect on easing credit constraints and reducing default risks.