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Based on a survey of 897 farm households, the purpose of this paper is to build a framework using cluster analysis to explain how farmers make decisions on joining group guarantee, and analyzes factors influencing their decisions using multinomial and binary Logit regressions.

The approach of combining cluster analysis with Logit regression is an innovative approach to survey assessment. In addition, by design the authors have identified the four mutually exclusive groups of borrowers combining Group Guarantee membership and actual formal borrowing.

An extremely important observation according to the data is that most farmers appear to be part of group guarantees only because they have to in order to get access to formal credit products. 87.21 percent of the people who belong to groups and utilize the formal credit products belong to this category because their lenders have made participation in groups compulsory for access to credit. This may ration farmers’ willingness to even apply for credit. It also indicates a preference on the part of older and more risk-averse respondents to avoid participation in group guarantees. Out of financial characteristics the total loan holdings appears to be the only significant indicator of participation in group guarantees. Furthermore the results indicate that informal and formal credit appear to be replaceable for farmers.

The survey is confined only to the counties investigated. China is very diverse in its agricultural economies and many RCCs operate under different guidance and rules from those investigated here. Hence, while the authors can claim that the results are indicative, the authors cannot claim that they will hold generally.

Based on group guarantee loan mechanism and survey data analysis of 897 farm households, this paper analyzes influencing factors affecting farmers’ participation in group guarantees from microcosmic level, so as to provide some reference to further perfect micro credit operation mode and mechanism.

The results indicate that the Group Guarantee mechanism, while beneficial to some, may not hold global appeal for Chinese farmers. In the future RCCs may want to consider alternative approaches to loan security than placing the burden of guarantee on farmers’ family and friends.

The approach of combining cluster analysis with Logit regression is an innovative approach to survey assessment. In addition, by design the authors have identified the four mutually exclusive groups of borrowers combining Group Guarantee membership and actual formal borrowing.

The purpose of this paper is to investigate factors affecting use of microcredit among farmers in Northern China.

A two-stage Heckman model is used to estimate the effect of farmer and family characteristics and loan and lending environment on likelihood of farmer participation in microcredit and the value of loans taken. Data from 342 first-hand observations in Northern China were used.

Social capital, production cost, non-labor family members, income, guarantee group membership, village head loan guarantee, and messenger use were found to increase use of microcredit. The same factors were found to affect the value of loans among participating farmers except a guarantor requirement for the loan replaces membership in a guarantee group.

Results support that there is demand for microcredit among farmers and that they are willing to take steps to obtain it including seeking membership in a household guarantee group. Identification of faced constraints facilitates understanding of supply-side efforts with potential to decrease financial exclusion with a focus on external-to-market intervention.

Pivotal findings are the importance of guarantee group membership for loan approval and that this requirement hinders farmers’ ability to obtain credit. Three alternatives are suggested to overcome this constraint including excluding low-risk borrowers from a group guarantee requirement; charging higher interest rates on high risk loans not supported by a guarantee; and development of insurance options to replace the guarantee.

The purpose of this paper is to provide an overview of the farm and rural credit system in China. To do this the authors use the so‐called “7 Cs” of credit (these include: Credit, Character, Capacity, Capital, Condition, Capability, and Collateral) and for each “C” provide some aspect of importance related to agricultural finance.

This paper is largely based on a survey of 897 farm households in Shaanxi and Gansu provinces, and extensive interviews of agricultural lenders conducted in the summer and fall of 2009. These data are used in simple form and in regression form to explain a variety of credit issues in China.

A number of key factors related to credit delivery and demand are found. First, using the 7 Cs as a guide proved to be very fruitful for disentangling the many institutional and cultural facets affecting rural credit in China. Under “Character” the authors discuss the cultural characteristics of the Chinese farmer in terms of informal lending and borrowing; under “Capacity” the authors discuss the challenges of delivering credit to farms with limited resources; under “Condition” the authors discuss group guarantees and credit worthy villages, credit rationing and insurance and incomplete markets; under “Capability” the authors discuss income inequality and challenges in economies of scale and size; and for “Collateral” the authors discuss the implications of lack of collateral and limitations on farm economic growth due to the collectivization of land and the potential for agricultural lending from the transferability and mortgagability of land or forestry use rights.

Although the assessment provides a great deal of breadth and depth across many credit‐related issues in China, it is not an exhaustive study. Agricultural and rural credit in China is very complex and in many instance under developed. The survey results from Shaanxi and Gansu tell a story that is consistently told throughout China, but the authors would caution against using the data to characterize farm credit across China as a whole.

Large swaths of China have either no or very rudimentary credit services. Even in areas where credit is in supply there are issues of poverty that could be aided with credit access and delivery. In order to improve livelihoods through credit institutions, it is important to understand rural credit in many dimensions. This paper takes a step in that direction.

Despite the importance of rural credit in China, it is largely understudied and not well understood. This paper makes progress in providing such an understanding. Our reasoning for using our unique approach is that by understanding the 7 Cs of credit one comes to understand the elemental characteristics of the credit decision from the lender's point of view but in a way that takes into account conditions at the farm level. The 7 Cs provide an objective approach to credit assessment that balances both the supply of and demand for credit.

The purpose of this paper is to shed light on the deleveraging impact of the anti-corruption campaign since the 18th National Congress of the Communist Party of China (CPC) on private firms with political connections, relative to those without political connections.

In this paper, taking the anti-corruption campaign employed from the end of 2012 as an exogenous shock, the authors design a quasi-experiment difference-in-difference approach to examine how the loss and failure of political connections impacts private firms’ debt financing.

The authors find that the loss and failure of political connections following the anti-corruption campaign since the 18th CPC National Congress causes the yearly new debt ratios of treatment firms with political connections to decrease, relative to those of control firms without political connections. This outcome is more pronounced for provinces with more cadres excluded in the anti-corruption campaign since the 18th CPC National Congress, which rendered politically connected firms susceptible to lose connections with central or provincial cadres. To explore the mechanism, the authors find that following the anti-corruption campaign since the 18th CPC National Congress, politically connected firms limit rent-seeking activities, whereas resource acquisition is weakened. The authors also find that the impact of the anti-corruption campaign since the 18th CPC National Congress on the debt financing of politically connected firms, relative to their counterparts, is more pronounced for groups with high levels of information asymmetry and for less explicit guarantee groups. Finally, politically connected firms are more likely to be dominated by internal funds in dealing with a loss of advantages in debt financing, compared with their counterparts without political connections.

The findings in this study suggest that the loss or failure of previous political connections following Xi’s anti-corruption campaign make politically connected firms lose the advantages in debt financing through the rent-seeking, resource acquisition, information asymmetry, implicit guarantee channels, which provide new evidence for research on the impact of the anti-corruption campaign since the 18th CPC National Congress on private firms’ financing behaviors via the loss or failure of existing political connections.

The findings in the study will have some inspiration for policy makers and entrepreneur.

This study provides new evidence on the different impacts of Xi’s anti-corruption campaign on private firm’s debt financing between politically connected and unconnected firms.

The purpose of this paper is to investigate how Korean conglomerates (chaebol) have rapidly ascended to international prominence. The success of Korean chaebol firms seems to be associated with internal market transactions. Just as Japanese keiretsu firms succeeded by utilizing a bank‐centred financing system, Korean chaebol firms devised an internal financing system such as payment guarantees and collateral provisions in a restrictive regulatory environment.

This study examines the effects of such internal market transactions on the technical efficiency of chaebol firms using a stochastic frontier function for a panel data set of 1,675 firms from 1992 to 1998.

The study has found that chaebol firms have achieved a net gain in technical efficiency by utilizing internal market transactions as a way of mitigating liquidity constraints. Thus, the chaebol's role as an internal capital provider has given Korean conglomerates a competitive advantage in product pricing and capital financing, which is the main source of the success of Korean chaebol firms.

What is new in the paper is that the positive effects of the Korean chaebol on the Korean economy have outweighed the negative effects of the chaebol. The paper has provided empirical evidence that the chaebol played a major role in transforming the Korean economy from an agricultural economy to an IT‐led economy. The main value of the paper may be found in its attempt to analyze the technical efficiency of Korean large business groups using a stochastic frontier production approach. The paper will appeal to readers who are interested in the driving forces of rapid economic growth in a developing economy.

Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model.

Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model based on four dimensions: concept definition, data structure, risk contagion network construction, and risk measurement indicators construction. We take the Jiangsu bond issuer guarantee network as a sample area.

Taking the Jiangsu bond issuer guarantee network as a sample area, we find that there is a strong correlation between the debts of non-financial corporation in China, and it is easy to become a potential regional systematic risk source. In addition, our empirical research also reveals that external risk exposure and node degree of network are two key indicators when identifying key risk-contagion enterprises.

The main contributions of this study are two-fold. First, this article proposes a two-tier risk contagion networks model to measure systematic risk in non-financial corporation. Second, this article describes the structure of the corporate risk contagion network.

The intent of microfinance institutes (MFIs) in developing countries is to provide loans to very poor people in order to help them transform their lives. MFIs tend to receive subsidies; sustainability is being sought to free MFIs from non‐market dependencies. Sustainability is expected to be achieved with “best practices,” of which management with performance measures is a component. The purpose of this paper is to examine the use of performance measures by three Kenyan MFIs, which are classified as formal and client based, and likely to use rational and explicit performance measures. Clients in these MFIs are placed into self‐help groups with two responsibilities: to provide mutual support and advice to the borrowing client; and to provide the MFI with a guarantee that loans of group members will be repaid.

Based on a review of the economics and performance measurement systems literatures, research questions were developed along with an interview guide. Case studies were used to administer an interview guide which was distributed to the respondents prior to the face‐to‐face interviews.

The study concludes that MFIs have relatively well‐developed performance measures that support their particular businesses. There was a good balance between the use of financial and non‐financial performance measures. However, output measures were more commonly used than process measures. The nature of the MFIs suggests the importance of performance measurement. The managers of the MFIs are concerned with performance measurement, as expected within a bureaucracy, and a top‐down demand is present. In addition, group members or clients are interested in performance measurement as each member guarantees the loans of all fellow group members who have loans with the MFI. Thus, the customers exert a bottom‐up demand for performance measurement.

The findings support the view that performance measures are a means for managing MFIs and are a likely requirement for sustainability. Furthermore, the findings have identified performance measures (similar to those at banks) that are appropriate for the three MFIs in Kenya. The findings are important since the identified performance measures may be adopted by other evolving MFIs in this relatively new sector. In addition, the findings contribute to a better understanding of the genesis of the less popular results and determinants performance measurement framework of Fitzgerald et al.

Globally, women have been recognized as key contributors toward livelihood and poverty eradication, especially in developing countries in sub-Saharan Africa. This is due to their great involvement and participation in micro small and medium enterprises (MSMEs) that create employment and ultimately economic growth and development. Thus, the main purpose of this study is to establish the mediating role of social cohesion in the relationship between microfinance accessibility and survival of women MSMEs in post-war communities in sub-Saharan Africa, especially in Northern Uganda where physical collateral were destroyed by war.

The data for this study were collected using a pre-tested semi-structured questionnaire from 395 women MSMEs who are clients of microfinance institutions in post-war communities in Northern Uganda, which suffered from the 20 years' Lord Resistance Army (LRA) insurgency. The Analysis of Moment Structures (AMOS) software was used to analyze the data and the measurement and structural equation models were constructed to test for the mediating role of social cohesion in the relationship between microfinance accessibility and survival of women MSMEs in post-war communities.

The results revealed that social cohesion significantly and positively mediate the relationship between microfinance accessibility and survival of women MSMEs in post-war communities in Northern Uganda. The results suggest that the presence of social cohesion as a social collateral promotes microfinance accessibility by 14.6% to boost survival of women MSMEs in post-war communities where physical collateral were destroyed by war amidst lack of property rights among women. Similarly, the results indicated that social cohesion has a significant influence on survival of women MSMEs in post-war communities in Northern Uganda. Moreover, when combined together, the effect of microfinance accessibility and social cohesion exhibit greater contribution towards survival of women MSMEs in post-war communities in Northern Uganda. Indeed, social cohesion provides the social safety net (social protection) through which women can access business loans from microfinance institutions for survival and growth of their businesses.

This study concentrated mainly on women MSMEs located in post-war communities in developing countries in sub-Saharan Africa with a specific focus on Northern Uganda. Women MSMEs located in other regions in Uganda were not sampled in this study. Besides, the study focused only on the microfinance industry as a major source of business finance. It ignored the other financial institutions like commercial banks that equally provide access to financial services to micro-entrepreneurs.

The governments in developing countries, especially in sub-Saharan Africa where there have been wars should waive-off the registration and licensing fees for grass-root associations because such social associations may act as social protection tools through which women can borrow from financial institutions like the microfinance institutions. The social groups can provide social collateral to women to replace physical collateral required by microfinance institutions in lending. Similarly, the governments, development agencies, and advocates of post-war reconstruction programs in developing countries where there have been wars, especially in sub-Saharan Africa should initiate the provision of group business loans through the existing social women associations. This may offer social protection in terms of social collateral in the absence of physical collateral required by the microfinance institutions in lending. This may be achieved through partnership with the existing microfinance institutions operating in rural areas in post-war communities in developing countries. Additionally, advocates of post-war recovery programs should work with the existing microfinance institutions to design financial products that suit the economic conditions and situations of the women MSMEs in post-war communities. The financial products should meet the business needs of the women MSMEs taking into consideration their ability to fulfil the terms and conditions of use.

This study revisits the role of microfinance accessibility in stimulating survival of women MSMEs as an engine for economic growth in the presence of social cohesion, especially in post-war communities in sub-Saharan Africa where physical collateral were destroyed by war. It reveals the significant role of social cohesion as a social protection tool and safety net, which contributes to economic outcomes in the absence of physical collateral and property rights among women MSMEs borrowers, especially in post-war communities.

The purpose of this paper is to investigate the lender-borrower relationship as it relates to Sannong loans for agricultural and rural financial markets by Rural Credit Cooperatives (RCCs) and other rural lenders. This paper is motivated by recent reforms to the rural credit market designed to encourage increased lending, particularly to farmers. Little is understood about the lender-borrower relationship in rural China. This paper fills that gap.

The paper investigates relational attitudes between 120 loan officers at RCCs in China's costal Shandong province, paired with a field survey using matched questions to 394 farm households in the same region. Pairing lenders’ perception toward borrowers regarding RCC microcredit lending mechanism, against borrowers’ perception toward lenders and how themselves were perceived by lenders in the same regards, the paper investigates the degree of disconnect between lenders and with distinct cluster groupings based on their perceptions, the paper analyzes the influence of demographics on the borrower and lender cluster memberships.

The paper identifies four borrower clusters and two lender clusters. Borrower clusters are segmented on credit access and satisfaction with their rural lender. The paper also identifies two lender clusters, segmented principally on financial incentives and lending activities. While all lenders view farming with higher regard than farmers believe they do, one cluster is clearly pro-farmer while the second is somewhat indifferent. Indifference is more related to current portfolio activities. The paper draws conclusions that policy initiatives should be put in place at RCCs that close the gap between lender and borrower in their credit relationship. Rural lenders should concentrate on advocating RCCs’ care and trust toward agriculture and farm households. At the institutional level, effort should be extended to train a dedicated team of loan officers that specialize in servicing farm households with standardized lending practices. This research provides financial institutions with outreach mechanisms to borrowers, while also training lenders to borrowers’ sensitivities.

Management studies of RCCs are few. This is the first paper that the authors are aware of that studies farmer and lender attitudes on the same scale.

In this study, the authors examined demand-side credit in rural China with the aims of understanding attribute preferences and the willingness of farmers to pay for credit.

The authors implemented an in-the-field discrete choice experiment (DCE) using a D-optimal block (6 × 9 × 3) design applied to 420 farm households across five Chinese provinces (Shandong, Sichuan, Shaanxi, Jiangsu and Henan) in the summer and fall of 2018. The DCE included six attributes including the interest rate, term of loan, type of loan, type of repayment, type of institution and mobile banking services.

Conditional and mixed logit results indicated a downward sloping credit demand curve with variable elasticity across regions. Provincial willingness-to-pay (WTP) indicators suggested that farmers were willing to pay a premium for long-term ( 0.03–0.687%) and low collateral credit loans ( 0.79–2.93%). Also, four of five provinces indicated a preference for loan amortization rather than lump-sum payment. Interestingly, in comparison to the Agricultural Bank of China (ABC), only farmers in Shandong, Sichuan and Shaanxi indicated a preference for rural credit cooperatives (RCCs)/banks and the Postal Savings Bank of China (PSBC). Another quite surprising result was bank services, in our case, access to mobile banking did not appear to induce WTP for agricultural credit. While conditional and mixed logit regression coefficients were similar (and therefore robust), the authors found that there was substantial heterogeneity across attribute preferences on term of loan, type of loan and amortization. Preferences for type of lender and mobile banking were generally homogenous. This result alone suggested that lenders should consider offering a suite of credit products with different attributes in order to maximize the potential pool of borrowers. While there were some differences across provinces, farmers appeared to be indifferent to lenders, and it did not appear that offering banking services such as mobile banking had any bearing on credit decisions.

This paper presents a first step in using in-the-field choice experiments to better understand rural finance in China. Although the sample size satisfies conventional levels of significance and rank conditions, the authors caution against attributing results to China as a whole. Different provinces have different institutional structures and agricultural growing conditions and economies and these effects may differentially affect WTP for credit. Although by all indications farmers were aware of credit, not all farmers, in fact a minority, actually borrowed from a financial institution. This is not unusual in China, but for these farmers, the DCE was posed as hypothetical. Likewise, the study’s design was based on a generic credit product typical of rural China, and the authors caution against making inferences about other products with different attributes and risk structures.

This study is motivated by the rapidly changing dynamic in China's agricultural economy. With specific reference to new laws and regulations about the transfer of land use rights (LURs), China's agricultural economy is undergoing significant and rapid change which will require better understanding by policy makers, lenders and practitioners of the changing credit needs of farmers, including the new and emerging class of commercial farmers.

To the best of the authors’ knowledge, the authors believe that the result provided in this paper present the first use of in-the-field DCE and are the first to be reported in either the English or Chinese literature on rural credit product design.